{"id":28,"date":"2019-12-08T22:33:36","date_gmt":"2019-12-08T22:33:36","guid":{"rendered":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/chapter\/production-can-we-end-hunger\/"},"modified":"2023-10-27T01:24:10","modified_gmt":"2023-10-27T01:24:10","slug":"production-can-we-end-hunger","status":"publish","type":"chapter","link":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/chapter\/production-can-we-end-hunger\/","title":{"raw":"Chapter 5 - Production: Can we end hunger?","rendered":"Chapter 5 &#8211; Production: Can we end hunger?"},"content":{"raw":"<div class=\"production:-can-we-end-hunger?\">\r\n<h2>Can we end hunger?<\/h2>\r\n<p class=\"import-Normal\">In Yemen, 17 million people are food insecure, which means they do not have enough to eat.<sup class=\"import-FootnoteReference\">[footnote]As of July 2023. World Food Programme 2023[\/footnote]<\/sup> There are 3.5 million children and women in Yemen who are so malnourished they require urgent treatment. Two-thirds of children under the age of five in Yemen are so chronically malnourished that their growth has been stunted.<sup class=\"import-FootnoteReference\">[footnote]World Food Programme 2017[\/footnote]<\/sup> This rate is an <em>increase<\/em> in malnutrition from previous decades, when around half of children were stunted.<sup class=\"import-FootnoteReference\">[footnote]El-Kogali and Krafft 2015[\/footnote]<\/sup> In the long term, these malnourished children will learn less (if they attend school), earn less when they work, and have poorer health throughout their lives.<sup class=\"import-FootnoteReference\">[footnote]Dewey and Begum 2011[\/footnote]<\/sup> Conflict in Yemen has moved the country closer to famine.<sup class=\"import-FootnoteReference\">[footnote]Moyer et al. 2019[\/footnote]<\/sup><\/p>\r\n\r\n<div>\r\n<div class=\"textbox shaded\">\r\n\r\n<span class=\"import-Normal tight\"><em>Food security exists when all people, at all times, have physical and economic access to sufficient safe and nutritious food that meets their dietary needs and food preferences for an active and health lifestyle.<\/em><\/span>\r\n<p class=\"import-Normal\"><em>--1996 World Food Summit<\/em><\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<p class=\"import-Normal\">In the United States, there are 14 million food insecure households (10 percent of households).<sup class=\"import-FootnoteReference\">[footnote]As of 2021. Coleman-Jensen et al. 2022[\/footnote]<\/sup> There are 5 million children in the United States who are in households where food insecurity is affecting children.<sup class=\"import-FootnoteReference\">[footnote]As of 2021. Coleman-Jensen et al. 2022[\/footnote]<\/sup> Despite programs designed to prevent hunger, such as food stamps, children and families are still suffering from hunger in the United States. These children perform worse in school near the end of the month\u2014when their food stamps have run out.<sup class=\"import-FootnoteReference\">[footnote]Cotti, Gordanier, and Ozturk 2018[\/footnote]<\/sup><\/p>\r\n<p class=\"import-Normal\">Although the United States is a much wealthier nation than Yemen, and hunger is a less common issue, both countries still fail to meet the most basic needs of all of their citizens\u2014starting with food. This chapter introduces the economics of production\u2014how countries create and distribute resources\u2014to help us think about what it would take to end hunger.<\/p>\r\n\r\n<h2>How can economics help us end hunger?<\/h2>\r\n<p class=\"import-Normal\"><strong>Economics<\/strong> is the study of how societies allocate their scarce resources. In both Yemen and the United States\u2014and around the world\u2014understanding the allocation of scarce resources is critical to addressing hunger. Food itself is a scarce resource when families go hungry. Producing food depends on a number of different inputs, such as land, water, and seeds, which are also scarce. Economics can help us think about how to allocate food to people so we can reduce or eliminate hunger. One of the ways economics can help end hunger is by helping us allocate not just food, but the inputs that produce food.<\/p>\r\n<p class=\"import-Normal\">Economists think about allocation decisions on two levels. The first is <strong>microeconomics<\/strong>, thinking about the behavior of individuals or firms. When thinking about hunger, a microeconomic focus might be on how farmers choose between different crops or decide how much water to allocate to each crop. The second type of economics is <strong>macroeconomics<\/strong>, the study of the economy of a nation (or a region or the world) as a whole. Macroeconomics would shift the focus to the output of an entire nation or state. This text covers both macroeconomic and microeconomic topics.<\/p>\r\n\r\n<h2>How do we produce food?<\/h2>\r\n<p class=\"import-Normal\">Whether we are thinking about a single farm (microeconomics) or a nation (macroeconomics), how much food (output) it can produce depends on inputs (seeds, land, farmers). Economists divide inputs into two types\u2014labor and capital. <strong>Labor <\/strong>consists of the people (human inputs) that can potentially produce goods and services. When we are thinking about a family farm, labor would be the number of hours family members could work on the farm. Since there are only a fixed number of hours in the day, labor is a scarce resource. When we\u2019re thinking about the entire economy, labor might be measured in millions of workers.<\/p>\r\n<p class=\"import-Normal\">Economists typically measure labor in hours or number of workers. However, this assumes workers are all able to produce the same amount of food, which is not accurate. How much workers can produce depends on a variety of factors\u2014such as their skills or their health. Economists call these aspects of labor human capital. <strong>Human capital<\/strong> is the information, skills, knowledge, education, and health of workers. It shapes their ability to translate their time into production. For example, an experiment in Guatemala demonstrated that children who received a nutrition supplement during childhood were more productive as adults, earning higher wages, because of the investment in their health\u2014their human capital.<sup class=\"import-FootnoteReference\">[footnote]Hoddinott et al. 2008[\/footnote]<\/sup> Likewise, when students go to college, they expect to be more productive and earn more as adults, because they have invested in their human capital. One way to think about human capital is that labor tends to refer to the <em>quantity<\/em> of labor, while human capital is one way for economists to think about the <em>quality<\/em> of labor.<\/p>\r\n<p class=\"import-Normal\">In order to produce food, farms need not only labor and human capital, but also physical capital. <strong>Physical capital<\/strong> consists of the physical inputs, such as tractors and land, that help produce outputs. Physical capital also includes infrastructure\u2014roads, electricity, water, and other public works that facilitate production. Natural resources (such as minerals or oil) also are a form of physical capital. Land, water, seeds, and fertilizer are examples of important physical capital inputs that contribute to the production of food.<\/p>\r\n<p class=\"import-Normal\">Technology is the final element of production. <strong>Technology <\/strong>refers to the inventions or innovations, as well as new ways of organizing work, that allow us to produce more even with the same amount of inputs. For example, in West and Central Africa, the International Institute of Tropical Agriculture and the International Maize and Wheat Improvement Center work on improving the varieties of maize (a key food crop) available.<sup class=\"import-FootnoteReference\">[footnote]Alene et al. 2009[\/footnote]<\/sup> Essentially, they invent new varieties of maize with enhanced capabilities, such as drought resistance. The emerging technology of new maize varieties allows farmers to produce more food with the same amount of land and labor.<\/p>\r\n<p class=\"import-Normal\">It can be confusing to try to distinguish between technology and capital. Is a new irrigation system technology or is it capital? The technology (idea) of drip irrigation to water crops has been around for decades.<sup class=\"import-FootnoteReference\">[footnote]Shrestha and Gopalakrishnan 1993[\/footnote]<\/sup> However, as <strong>Box 1.<\/strong><strong>1<\/strong> demonstrates, not everyone adopts, or utilizes, new technology. Only when technology is adopted can it be classified as physical capital. Some farmers do not invest in the capital of drip irrigation. The farmers who do invest in drip irrigation have it as part of their capital.<\/p>\r\n&nbsp;\r\n<div class=\"textbox textbox--examples\"><header class=\"textbox__header\"><span class=\"textbox__title tight\"><strong>Box 1.<\/strong><strong>1<\/strong><strong>. Economists in action: Tavneet Suri on agricultural technology adoption<\/strong><sup class=\"import-FootnoteReference\">[footnote]Suri 2011[\/footnote]<\/sup><\/span><\/header>\r\n<div class=\"textbox__content\"><span class=\"textbox__content very-tight\">Tavneet Suri is a professor at MIT and an economist who works in development economics (how and why countries grow and develop) and agricultural economics (the economics of growing food). Born and raised in Kenya, she researches technology adoption in sub-Saharan Africa. Agricultural yields (production per acre) have been stagnant or falling in many sub-Saharan African countries, contributing to food insecurity. This decrease in yields is occurring despite the existence of technology\u2014such as hybrid crops and fertilizers\u2014that can increase yields. Adoption of these technologies has been persistently low in many countries. Suri studied farmers\u2019 technology adoption decisions in Kenya and identified problems in access to seed and fertilizer as important barriers to adopting technology that would improve yields for farmers.<\/span><\/div>\r\n<\/div>\r\n<p class=\"import-Normal\">The combination of inputs is also important. A simple example of this would be that, on a farm operated by tractors, you would need a driver (labor) for each tractor (physical capital). Any tractor that sits idle due to a lack of driver will not add anything to production. Thus, labor, human capital, and physical capital work best together. Some forms of physical capital, such as hybrid seeds, are more likely to be adopted and can be used more effectively by educated individuals.<sup class=\"import-FootnoteReference\">[footnote]Foster and Rosenzweig 1996[\/footnote]<\/sup><\/p>\r\n\r\n<h2>How can we produce more food?<\/h2>\r\n<p class=\"import-Normal\">Now that we have thought through how food is produced, we can turn to a central question for reducing hunger: how can we produce <em>more<\/em> food? A straightforward answer would seem to be more inputs\u2014and more technology. However, where do these inputs and technology come from? We have to invest in them in the <strong>long <\/strong><strong>run<\/strong> (over a long period of time). In the <strong>short <\/strong><strong>run<\/strong> (for example, this year), our inputs and technology are fixed. If we want to produce more food, we are going to have to use our inputs differently. This section examines how to produce more food, first in the short run, and then in the long run.<\/p>\r\n\r\n<h3>Producing more food in the short run<\/h3>\r\n<p class=\"import-Normal\">The scarcity of resources is a key economic insight. If we want more workers on the farm, we will have to accept fewer workers in schools or factories. This is the central economic concept of tradeoffs. The saying \u201cthere is no free lunch\u201d illustrates this idea. You have to give up something to get something. Economists often use models to think about these tradeoffs. Models are simplifications of the real world that help us think about economic issues\u2014like the tradeoffs involved in producing more food.<\/p>\r\n<p class=\"import-Normal\">The specific model for thinking about how a household or a country might produce more food is called the <strong>production possibilities frontier.<\/strong> A production possibilities frontier shows what can currently be produced, given current resources (physical capital, labor, human capital, and technology). With this model, we simplify to a world where there are two goods. In real life, there are millions of different possible goods and services we can produce, but focusing on just two helps us think through critical tradeoffs. The insights gleaned from this simple model can then be applied to any number of goods.<\/p>\r\n<p class=\"import-Normal\">Figure 1.1 is a production possibilities frontier for food and housing. Here we are thinking on country scale, in terms of millions of tons of food, and millions of housing units (houses). Food is measured on one axis (the x-axis) and housing is on the other axis (the y-axis). Let\u2019s say that this country is Yemen, where there is widespread food insecurity and hunger. Yemen faces a tough choice and important tradeoffs, symbolized by the production possibilities frontier. Yemen (currently, in the short run) has a fixed amount of resources (physical capital, labor, human capital, and technology). The curve\u2014called the <em>frontier<\/em>\u2014shows the different combinations of goods (food and housing) that Yemen can produce given its current resources. The frontier is the maximum possible. Any point on the frontier represents a particular combination of food and housing. To produce more of one good, Yemen has to give up some of the other good. Point A is one extreme: all food, 30 million tons. However, this means that Yemen builds no housing. Point B is the opposite extreme: 15 million housing units and no food. The remaining points are a mix of goods. Point C is more food (26 million tons) and less housing (7.5 million units). Point D is more housing (14.6 million units) and less food (7.3 million tons). Point E is a mix in the middle, 21.5 million tons of food and 10.4 million units of housing.<\/p>\r\n&nbsp;\r\n\r\n[caption id=\"attachment_59\" align=\"aligncenter\" width=\"1024\"]<img class=\"wp-image-59 size-large\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2019\/12\/F1.1-PPF-scaled.jpg\" alt=\"Production Possibilities\" width=\"1024\" height=\"842\" \/> Figure 1.1. Production possibilities frontier for food and housing[\/caption]\r\n<p class=\"import-Normal\">Point E illustrates an important feature: the production possibilities frontier is curved. We can have more of a mix of goods (31.9 million goods total) than just one alone (15 million housing units or 30 million tons of food). This is because inputs tend to be specialized. <strong>Specialization<\/strong> means that an input is better suited for producing one output, such as food, than another, such as housing. For labor, this would mean that a carpenter is much better at producing housing than food. If we want to produce all food, that means our carpenter will be farming\u2014and she will not produce very much. Likewise, physical inputs are specialized. Yemen\u2019s resources of seeds will not produce much housing. Some inputs may be quite useful for both goals\u2014land would be useful for both housing and producing food, although the quality of the land might mean some land, for instance with good soil, is better for food, while other land, for instance with sandy soil, is better for housing.<\/p>\r\n<p class=\"import-Normal\">Point F, which is not on the curve, (5 million of each good) is inefficient; we could increase both food and housing at the same time. We are not using all of our resources at point F; that is why it is inefficient. Point G, 19 million housing units and 35 million tons of food, is currently impossible (not feasible). With our current resources we cannot produce so much housing and food.<\/p>\r\n<p class=\"import-Normal\">So how does Yemen decide what to produce, given its current resources? It depends on tradeoffs and people\u2019s preferences. Perhaps it is currently at point E, producing a mix of 21.6 million tons of food and 10.4 million housing units. If Yemen wants to move to point C, which has more food (26.0 million tons), to gain that additional 4.4 million tons of food and reduce hunger, it will have to give up 3.1 million housing units (go from 10.4 million to 7.3 million). This tradeoff is referred to in economics as the <strong>opportunity cost<\/strong>. It is not a dollar cost Yemen has to pay, but the opportunities (for housing) that Yemen has to give up to get more food. The opportunity cost, at point E, for 4.4 million tons of food is 3.1 million housing units.<\/p>\r\n<p class=\"import-Normal\">In this example, we\u2019ve been thinking on a large, national scale, and in terms of changes in the millions. A similar principle applies to busy college students facing time constraints during finals. One more hour spent studying for economics means one less hour writing your political science paper. You have a finite amount of resources, including time. The opportunity cost of gaining ten more points on your economics final may be one less page in your political science paper. These decisions about one page or one hour show another aspect common to economics thinking: thinking at the margin. Although it can be helpful to think about what it would take to get to 4.4 million tons more food, most decisions are made like those of the student during finals, thinking about tradeoffs in terms of one more hour. This \u201cone more\u201d thinking is referred to in economics as thinking on the <strong>margin<\/strong>. Thinking on the margin refers to thinking about what one additional hour of paper-writing costs, or one additional ton of food takes.<\/p>\r\n\r\n<h3>Producing more food in the long run<\/h3>\r\n<p class=\"import-Normal\">The production possibilities frontier is a model for what we can produce right now, in the short run, given our current resources and technology. We can also use this model to think about the long run. In the long run, our whole production possibilities frontier can shift. In the long run, producers (countries, firms, or family farms) can change their inputs and their technology. When these changes in inputs and technology lead to more production being possible, that means the economy is growing. When these changes in inputs and technology lead to less production being possible, that means the economy is shrinking.<\/p>\r\n<p class=\"import-Normal\">Figure 1.2 shows the economy growing over time. Point J and its frontier were the maximum production options possible in 2019. However, by 2029 point K and its frontier are the most possible, because of better technology and inputs. While point J was 21.6 million tons of food and 10.4 million units of housing, point K is 25.9 million tons of food and 12.5 million units of housing\u2014more of both. Point K was not feasible (possible) in 2019; in 2029 it is now feasible. The shift from the production possibilities frontier with point J to the production possibilities frontier with point K represents economic growth. The key difference between the short run and the long run is that, while in the short run a country can only move <em>along<\/em> the production possibilities frontier, in the long run it can <em>change<\/em> the production possibilities frontier, shifting it outward (growing the economy) or inward (shrinking the economy).<\/p>\r\n<small>\u00a0<\/small>\r\n\r\n[caption id=\"attachment_51\" align=\"aligncenter\" width=\"1024\"]<img class=\"wp-image-51 size-large\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.2-PPF-growth-scaled.jpg\" alt=\"Growth in production possibilities\" width=\"1024\" height=\"831\" \/> Figure 1.2. Production possibilities frontier with growth in the long run (from 2019 to 2029). Notes: Dashes to axes to help show quantities[\/caption]\r\n<p class=\"import-Normal\">In the long-run, growth may occur more in some outputs than others. For example, a house requires a relatively fixed amount of land, so there may not be much growth in the production possibilities for housing over time if there is a limited amount of land inputs in the country. However, improvements in agricultural technology have allowed farmers to have increased yields (output of food) from the same amount of land. When there\u2019s growth in the long-run in one product (but not so much in the other) this is referred to as <strong>specific growth<\/strong>, as opposed to <strong>general growth<\/strong>. Figure 1.2 showed general growth, increases in the PPF for both food and housing. Figure 1.3, in contrast, shows a case of food-specific growth; more food is possible than used to be the case. Even though the maximum amount of housing is the same, it may be the case that more housing is produced nonetheless, because some resources (such as land) are shifted from food to housing as agriculture becomes more productive. This is visible in the shift from point L (24.3 million tons of food and 8.8 million housing units) in 2019 to point M (28.5 million tons of food and 10.2 million housing units) in 2029. Both food and housing increased, food relatively more so as a result of food-specific growth.<\/p>\r\n&nbsp;\r\n\r\n[caption id=\"attachment_50\" align=\"aligncenter\" width=\"1024\"]<img class=\"size-large wp-image-50\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.3-specific-v-gen-scaled.jpg\" alt=\"\" width=\"1024\" height=\"842\" \/> Figure 1.3. Production possibilities frontier with food-specific growth[\/caption]\r\n<p class=\"import-Normal\">What can we do to stimulate growth and produce more food? Policies to promote growth depend on the same factors that determine production in the short run: quantity of labor, quality of labor (human capital), physical capital, and technology. While these were fixed in the short run, in the long run they can be changed. When these inputs grow in number or quality, they lead to economic growth. When these inputs decrease in number or quality (for example, a town\u2019s production shrinking because it has fewer and fewer people), the economy shrinks.<\/p>\r\n<p class=\"import-Normal\">In terms of the quantity of labor, countries facing shortages of labor can either encourage immigration or try to encourage increases in the birth rate. An example of this would be generous parental leave or child care policies.<sup class=\"import-FootnoteReference\">[footnote]Dion et al. 2015; R\u00f8nsen 2004[\/footnote]<\/sup> Improving human capital requires upgrading the health, skills, or knowledge of the workforce. There are a variety of different ways to increase skills; increasing education is one that we will examine in more detail in a later chapter. Encouraging apprenticeships, which lead to job-relevant skills, can lead to increases in human capital that pay off economically.<sup class=\"import-FootnoteReference\">[footnote]Krafft 2018[\/footnote]<\/sup><\/p>\r\n<p class=\"import-Normal\">Improving physical capital can be challenging. Physical capital, whether a sewing machine, new factory, or new road, tends to be a large and expensive investment, requiring savings. We further explore savings in later chapters. Infrastructure investments, such as roads, are one example of an investment in physical capital that can increase production. A study in Nepal demonstrated that expanding roads in rural areas would substantially improve agricultural production, particularly benefiting the rural poor.<sup class=\"import-FootnoteReference\">[footnote]Jacoby 2000[\/footnote]<\/sup> Another challenge with infrastructure investments is that they are typically publicly available and used by a large number of people, making them difficult to finance, an issue we return to in later chapters.<\/p>\r\n<p class=\"import-Normal\">Technology has played a particularly critical role in improving well-being over time, including reducing hunger. For example, the \u201cgreen revolution\u201d in Asia, driven by the introduction of new varieties of wheat and rice in the 1960s and 1970s (new technology), led to large increases in agricultural production which raised farmer\u2019s incomes and well-being substantially.<sup class=\"import-FootnoteReference\">[footnote]World Bank 2007[\/footnote]<\/sup> Other examples of technologies that substantially improved productivity and thus human well-being include the discovery of antibiotics, the invention of the computer, the industrial revolution, and the creation of assembly lines.<\/p>\r\n<p class=\"import-Normal\">Technology is important\u2014but how can we increase our level of technology and thus production? <strong>Research and development (R &amp; D)<\/strong> is typically required for intentionally improving technology. The future of technology is very uncertain and difficult to predict, which makes R &amp; D investment challenging and time-consuming. For example, University of Minnesota fruit breeders started work on a new apple variety for Minnesota in the 1990s that only became commercially available in 2018.<sup class=\"import-FootnoteReference\">[footnote]University of Minnesota 2018[\/footnote]<\/sup> A further challenge is that once something is invented, it is typically available to everyone, unless individuals or firms are given exclusive legal rights (such as patents). The broad availability of technology reduces the motivation of individuals or firms to invest in R &amp; D.<\/p>\r\n<p class=\"import-Normal\">Even when seemingly great technology ideas are developed, they may not work well in real life. <strong>Box <\/strong><strong>1<\/strong> illustrated the challenge of agricultural technology adoption\u2014using new technologies once they are invented. Adoption also depends on the quality of the new technology. In India, cxv rely on traditional stoves that burn firewood, dung, or agricultural waste. In laboratory conditions, improved cookstoves were shown to reduce indoor air pollution\u2014which is the leading cause of environmental deaths globally.<sup class=\"import-FootnoteReference\">[footnote]Hanna, Duflo, and Greenstone 2016[\/footnote]<\/sup> This technology can particularly benefit women, who are disproportionately responsible for cooking. In development economics, there was a lot of optimism about how this technology could contribute to well-being. In real world conditions, however, the stoves broke, were difficult to maintain, and were costlier to households. Households stopped using them and there were no health improvements. This is just one illustration of the challenges of getting seemingly promising technology ideas to actually work in the real world in order to enhance wellbeing. Returning to our hybrid seeds example, one of the reasons that farmers may not adopt hybrid seeds is that the real-world quality of such inputs is low. For example, in Uganda, less than half of hybrid maize is authentic (more than half if fake), and thus, generates lower yields.<sup class=\"import-FootnoteReference\">[footnote]Bold et al. 2017[\/footnote]<\/sup> Developing technologies to increase growth is not an easy process.<\/p>\r\n\r\n<h2>Who gets the food?<\/h2>\r\n<p class=\"import-Normal\">The PPF is a very useful model for thinking about how to increase production. It can be applied to questions such as increasing food or housing, education or health care, and manufacturing or services. So far, we\u2019ve been primarily focusing on production at a national level\u2014but also noting examples of how the same model might apply to an individual, family farm, or corporation. Since the PPF is a model that simplifies our economy, one issue missing from the model is the allocation of production\u2014who gets the food. The world actually produces enough food to feed everyone and eradicate hunger.<sup class=\"import-FootnoteReference\">[footnote]Gilbert et al. 2010[\/footnote]<\/sup> The problem of hunger is a problem not just of production, but also of distribution, who gets the food.<\/p>\r\n<p class=\"import-Normal\">Why do certain families or countries experience hunger and others do not? The challenge is that food is produced locally\u2014different people own different amounts of inputs, such as land and labor, and therefore different amounts of resulting food. There are inequalities not only between nations in terms of allocation\u2014a family in Yemen is more likely to be hungry than a family in the United States\u2014but also within countries and even within households. For example, research in Burkina Faso has shown that, even within the same household, women\u2019s farm plots receive fewer inputs and produce less, contributing to inequality within households.<sup class=\"import-FootnoteReference\">[footnote]Udry 1996[\/footnote]<\/sup> In this section, we discuss global economic systems that determine the allocation of resources and ultimately production.<\/p>\r\n\r\n<h3>Economic systems<\/h3>\r\n<p class=\"import-Normal\">Economic systems are determined on a national level and can take a variety of different forms. The two endpoints for the spectrum of economic systems are a command economy or a market economy. When individuals (or firms) own resources and their output, a country is operating under a <strong>market economy<\/strong>, also known as a capitalist economy. A market economy gives individuals (and firms) private ownership of resources, referred to as private property rights. Decisions about what to produce are determined by individuals and firms\u2014decision making is decentralized and coordinated through markets (a concept we will return to in the next chapter). Governments have no role in this system, or only enforce private property rights. <strong>A command economy<\/strong> involves collective, government ownership of resources, and is also known as a communist or planned economy. Resource and production decisions are planned and made by the command of the central government.<\/p>\r\n<p class=\"import-Normal\">Note that market economies and command economies are the endpoints of a spectrum of potential economic systems. No country is a pure command economy or a pure market economy. Countries mix elements of these different systems, to varying degrees. Their prevalence globally has also changed substantially over time. For example, in 1917, what would become the Soviet Union was formed as a result of the Russian revolution and represented a shift from a market to planned economy. In 1991, the Soviet Union dissolved, and began a shift towards a more market-based system.<sup class=\"import-FootnoteReference\">[footnote]Johnson and Kovzik 2016[\/footnote]<\/sup> China likewise shifted to a command economy in the mid-20<sup>th<\/sup> century but has, since 1978, undertaken a series of market-oriented reforms.<sup class=\"import-FootnoteReference\">[footnote]Yining 2012[\/footnote]<\/sup> The countries, including the Soviet Union and China, that were the closest to command economies were intensively planned. For instance, countries had five-year plans for what should be produced, and how the benefits of that production would be shared.<\/p>\r\n<p class=\"import-Normal\">There are substantial tradeoffs in countries\u2019 decisions around economic systems. A central tension in economics, and particularly economic systems, is the tradeoff that often occurs between equity and efficiency. Market economies tend to be more efficient and lead to more growth (there are a number of exceptions that we will discuss in subsequent chapters), while command economies tend to be more equitable. China\u2019s \u201cGreat Leap Forward\u201d reforms starting in 1958 illustrate this tension. China shifted to a much more equitable but less efficient economic model, organizing rural communities into large-scale communes. The resulting loss in efficiency in production lead to the deaths of approximately 23 million people.<sup class=\"import-FootnoteReference\">[footnote]Peng 1987[\/footnote]<\/sup> However, inequality may also reduce growth, as illustrated in <strong>Box 1.<\/strong><strong>2<\/strong>. The relationships and tradeoffs between equity and efficiency are complex and hotly debated in economics.<\/p>\r\n\r\n<div class=\"textbox textbox--examples\"><header class=\"textbox__header\"><span class=\"textbox__title tight\"><strong>Box 1.<\/strong><strong>2<\/strong><strong>. Econo<\/strong><strong>mists in action: Nancy Birdsall on inequality and g<\/strong><strong>rowth<\/strong><sup class=\"import-FootnoteReference\">[footnote]Birdsall, Ross, and Sabot 1995; Center for Global Development 2017[\/footnote]<\/sup><\/span><\/header>\r\n<div class=\"textbox__content\">\r\n<p class=\"import-Normal\">Nancy Birdsall is an economist who has worked at international aid organizations, including the Inter-American Development Bank, the World Bank, and the Carnegie Endowment for International Peace. She was the founding president of the Center for Global Development, which \u201cwork[s] to change the policies and practices of rich countries and powerful institutions to reduce global poverty and inequality.\u201d<\/p>\r\n<p class=\"import-Normal\">One important area of Nancy Birdsall\u2019s research has been on the relationship between inequality and growth. Economics typically emphasizes a tradeoff between growth and equity. Birdsall demonstrated that policies that reduce poverty and inequality, such as education, can also increase growth. She demonstrated that low inequality in East Asia contributed to the region\u2019s rapid growth from 1960-1985.<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<p class=\"import-Normal\">The main reason market economies can be more efficient and lead to more growth than command economies is that the private property rights of market economies create important incentives (motivations). When individuals own resources and the output of those resources, it creates an incentive to be more efficient or work harder. Additional effort and investment on the family farm leads to more food for the family under a market economy. In a command economy, investment and effort by the family will not change how much food they receive. An example of the consequences of poor incentives is that, in China, when family farms had less ownership of land, they were less likely to invest in their land, lowering production.<sup class=\"import-FootnoteReference\">[footnote]Jacoby, Li, and Rozelle 2002[\/footnote]<\/sup><\/p>\r\n<p class=\"import-Normal\">Although there are often tradeoffs in terms of equity and efficiency in economic systems, economics can also help us identify ways to enhance <em>both<\/em> equity and efficiency (or growth). For example, investing in early childhood education (a form of human capital) has been identified as one of the world\u2019s best investments by economists.<sup class=\"import-FootnoteReference\">[footnote]Temple and Reynolds 2007[\/footnote]<\/sup> It has also been identified by economists as the most effective education policy for reducing inequality.<sup class=\"import-FootnoteReference\">[footnote]Checchi and van de Werfhorst 2014[\/footnote]<\/sup> The importance of early childhood education for both efficiency and equity is why a number of countries that have a larger government role in the economy (a shift towards the command economy side of the spectrum), such as Norway, invest public funds heavily in early childhood education.<sup class=\"import-FootnoteReference\">[footnote]Drange and Havnes 2015[\/footnote]<\/sup><\/p>\r\n\r\n<h2>Measuring our output<\/h2>\r\n<p class=\"import-Normal\">So far, we have been focusing on a two-good world in our production possibilities frontier model. However, in real life, there are not just two goods. How can we measure production with many goods? Economists measure output with the <strong>gross domestic product (GDP)<\/strong>, which is the market value of all final goods and services produced in a country over a specific time period. Market prices are used to calculate GDP based on what is produced. So, if a (very small) country produced five apples, priced at $2 each, two pears, priced at $3 each, and four bananas, priced at $1 each, its GDP would be $20 ($20=5*$2 2*$3 4*$1). Typically, GDP is an annual (year) measurement, but many countries also produce quarterly or monthly estimates of GDP.<\/p>\r\n<p class=\"import-Normal\">GDP can measure the level of a nation\u2019s production in current prices. When current prices are used to calculate GDP, this is referred to as <strong>nominal<\/strong> <strong>GDP<\/strong>. Nominal GDP could change over time due to prices rising, even if the country is producing the exact same amount of products. When prices increase for the same good or service, this is referred to as <strong>inflation<\/strong>. Economists measure changes in prices in order to know if a country is really producing more or not. When accounting for inflation, economists use <strong>price indices<\/strong>, measures of prices, such as the Consumer Price Index (CPI) to adjust GDP. GDP that has been corrected for inflation using a price index is referred to as <strong>real <\/strong><strong>GDP<\/strong>, measuring the real (not just price) changes in production. Real GDP tells us whether a country is actually producing more.<\/p>\r\n<p class=\"import-Normal\">Figure 1.4<sup>[footnote]World Bank 2022[\/footnote]<\/sup> shows real and nominal GDP in the United States and Yemen over time. Note that GDP for the United States is in trillions, and thus almost 1,000 times larger than that of Yemen, in billions. Real and nominal GDP have both been rising over time in the United States, with a dip around 2009 due to the Great Recession and another dip in 2020 with the COVID-19 pandemic. Nominal GDP has been rising faster than real GDP because prices have been rising over time; the two are the same in 2015, which was the base year used for prices in this case. Yemen had likewise been experiencing both nominal and real GDP growth until 2010. At that point, nominal GDP continued to rise quite rapidly because of rising prices, but real GDP fell, meaning fewer actual goods and services were being produced. Both real and nominal GDP began falling in Yemen starting in 2015, due to the ongoing war. The war has killed a quarter of a million people, destroyed housing and infrastructure, disrupted services, and pushed the country closer to famine.<sup class=\"import-FootnoteReference\">[footnote]Moyer et al. 2019[\/footnote]<\/sup><\/p>\r\n&nbsp;\r\n\r\n[caption id=\"attachment_121\" align=\"aligncenter\" width=\"1024\"]<img class=\"size-large wp-image-121\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.4-real-nominal-gdp-scaled-1.jpg\" alt=\"\" width=\"1024\" height=\"567\" \/> Figure 1.4. Real and nominal GDP in the United States (trillions) and Yemen (billions)[\/caption]\r\n<p class=\"import-Normal\">Two of the most important, headline-grabbing measures of the economy are the GDP growth rate and the inflation rate. These rates measure how much production is changing, which determines what a country can possibly consume, and how much prices are changing. While Figure 1.4 showed the level of output and prices, Figure 1.5<sup>[footnote]World Bank 2022[\/footnote]<\/sup> shows how they have changed over time. The (real) GDP growth rate shows how much production has expanded or, as in 2009 and 2020, contracted in the United States. The volatility of GDP growth is referred to as the business cycle, reflecting short run fluctuations. In the U.S., real GDP growth in the long run has tended to be between 2% and 4%. Prices have usually increased between 1% and 3% through 2020, but then inflation rose rapidly in 2021, due in part to supply chain disruptions caused by the pandemic. In contrast, Yemen has experienced much more volatile production and prices, with the real GDP growth rate ranging from a high of 8% to a low of -28%. Inflation has likewise varied from a 55% annual increase in prices down to as low as 2%. These fluctuations represent profound changes in the ability of the country to produce food or other goods, as well as for consumers to afford the prices of different goods, including food.<\/p>\r\n&nbsp;\r\n\r\n[caption id=\"attachment_117\" align=\"aligncenter\" width=\"1024\"]<img class=\"size-large wp-image-117\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.5-growth-infl-scaled-1.jpg\" alt=\"\" width=\"1024\" height=\"575\" \/> Figure 1.5. Real GDP growth rates and inflation rates (percentages) in the United States and Yemen[\/caption]\r\n<p class=\"import-Normal\">Another important factor to consider with GDP is how many people are in a country. When we divide the production of the country by its population, we calculate <strong>per capita<\/strong> <strong>GDP<\/strong> (per capita means per person). Per capita GDP can be in real or nominal terms. Although per capita GDP does not account for inequalities and is just an average, it is still a helpful starting point for considering a country\u2019s resources and production. Figure 1.6<sup>[footnote]World Bank 2023[\/footnote]<\/sup> illustrates this point with real per capita GDP for the United States and Yemen. As of 2022, real GDP per capita was $62,867 in the United States and $1,018 in Yemen. While real GDP per capita in the United States increased over time, with a dip during the Great Recession and pandemic, real GDP per capita has risen and fallen in Yemen. It reached a high of $2,547 per capita in 2010 before falling to less than half of that level by 2022. Already starting from a low level, this means that the country has, on average, less than half as much production to meet the basic needs of its citizens.<\/p>\r\n&nbsp;\r\n\r\n[caption id=\"attachment_61\" align=\"aligncenter\" width=\"1024\"]<img class=\"wp-image-61 size-large\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.6-per-capita-gdp-scaled-1.jpg\" alt=\"\" width=\"1024\" height=\"673\" \/> Figure 1.6. Real per capita GDP in the United States and Yemen[\/caption]\r\n<h3>Measuring poverty<\/h3>\r\n<p class=\"import-Normal\">There are enormous disparities in the average level of production available to support the needs of Americans and Yemenis. Yet both countries have problems with hunger (although to varying degrees). This is because of inequality within countries and insufficient resources available to certain individuals and households. There are a variety of ways to measure <strong>poverty<\/strong>, when people do not have enough resources to meet their basic needs. In a later chapter, we examine poverty in the United States, and anti-poverty policies, including anti-hunger programs, in detail. For now, we will look at one measure of poverty\u2014the percentage of people living on less than $2.15 per day. Taking into account price differences across country, this is considered a measure of extreme poverty. The good news is that extreme poverty has decreased over time in every single region of the globe (Figure 1.7<sup>[footnote]Hasell et al. 2023[\/footnote]<\/sup>). Despite a rising global population, there are fewer people living in extreme poverty than there were 20 years ago.<sup class=\"import-FootnoteReference\">[footnote]Roser and Ortiz-Ospina 2013[\/footnote]<\/sup> Although we have not solved world hunger, and no region or country has zero poverty, we have, globally, made major progress.<\/p>\r\n&nbsp;\r\n\r\n[caption id=\"attachment_60\" align=\"aligncenter\" width=\"1024\"]<img class=\"wp-image-60 size-large\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.7-global-poverty-reg-scaled-1.jpg\" alt=\"\" width=\"1024\" height=\"676\" \/> Figure 1.7. Extreme poverty rates (percentage of population living on less than $2.15 per day) by region<span style=\"font-size: 11.2px\">.<\/span> Notes: in 2017 international dollars, adjusted for price differences across countries and time.[\/caption]\r\n<h2>Conclusions<\/h2>\r\n<p class=\"import-Normal\">There is reason to hope that we can end hunger. The world already produces enough food to feed everyone.<sup class=\"import-FootnoteReference\">[footnote]Gilbert et al. 2010[\/footnote]<\/sup> This production is, however, unequally distributed across countries and across households and individuals within countries. Differences in technology, physical and human capital and labor across countries are a key driver of international inequality. These differences arise for a variety of complex forces, ranging from the impact of colonialism to differences in physical climate.<sup class=\"import-FootnoteReference\">[footnote]Sala-i-Martin, Doppelhofer, and Miller 2004[\/footnote]<\/sup><\/p>\r\n<p class=\"import-Normal\">Global development goals (such as the Sustainable Development Goals) include eradicating hunger. Global organizations such as the World Food Program (WFP), United Nations (UN), World Bank, Food and Agriculture Organization (FAO), and International Fund for Agricultural Development (IFAD) work to reduce hunger. They provide a variety of short run help (humanitarian aid). They also provide grants, loans, and technical assistance (advice) to allow for investments in human and physical capital and technology that can increase production and reduce hunger in the long-run. Funded by wealthier countries, these agencies have helped (but not solved) the problem of world hunger; WFP has already cut back the food aid it is giving Yemen due to insufficient funding.<sup class=\"import-FootnoteReference\">[footnote]World Food Programme 2023[\/footnote]<\/sup><\/p>\r\n<p class=\"import-Normal\">Although private property and other aspects of market economies create incentives that can spur growth, who owns property (or other forms of wealth) and who receives investments matters. Property ownership and investments are unequally distributed within countries. We will return to this point in the chapter on discrimination. Despite the challenges of inequality, we have seen global progress in reducing hunger and poverty. Investments in different aspects of production\u2014labor, human capital, physical capital, and technology\u2014have all contributed to increases in production. Families can produce more food by investing in these areas. Depending on the role they choose for government, countries can reduce inequality or spur growth through public policies that encourage or create investments in these areas. One day, these investments may be enough to end hunger. <strong><br style=\"clear: both\" \/><\/strong><\/p>\r\n\r\n<div class=\"textbox textbox--learning-objectives\"><header class=\"textbox__header\">\r\n<p class=\"textbox__title\"><strong>List of terms<\/strong><\/p>\r\n\r\n<\/header>\r\n<div class=\"textbox__content twocolumn\">\r\n<ul>\r\n \t<li class=\"import-Normal\" style=\"margin-top: -1.25em;padding-top: 0\">Economics<\/li>\r\n \t<li class=\"import-Normal\">Microeconomics<\/li>\r\n \t<li class=\"import-Normal\">Macroeconomics<\/li>\r\n \t<li class=\"import-Normal\">Labor<\/li>\r\n \t<li class=\"import-Normal\">Human Capital<\/li>\r\n \t<li class=\"import-Normal\">Physical Capital<\/li>\r\n \t<li class=\"import-Normal\">Technology<\/li>\r\n \t<li class=\"import-Normal\">Long run<\/li>\r\n \t<li class=\"import-Normal\">Short run<\/li>\r\n \t<li class=\"import-Normal\">Production Possibilities Frontier<\/li>\r\n \t<li class=\"import-Normal\">Specialization<\/li>\r\n \t<li class=\"import-Normal\">Opportunity cost<\/li>\r\n \t<li class=\"import-Normal\">Margin<\/li>\r\n \t<li class=\"import-Normal\">Research and development (R&amp;D)<\/li>\r\n \t<li class=\"import-Normal\">Command economy<\/li>\r\n \t<li class=\"import-Normal\">Market economy<\/li>\r\n \t<li class=\"import-Normal\">Gross Domestic Product (GDP)<\/li>\r\n \t<li class=\"import-Normal\">Nominal<\/li>\r\n \t<li class=\"import-Normal\">Inflation<\/li>\r\n \t<li class=\"import-Normal\">Price index<\/li>\r\n \t<li class=\"import-Normal\">Real<\/li>\r\n \t<li class=\"import-Normal\">Per capita<\/li>\r\n \t<li class=\"import-Normal\">Poverty<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/div>\r\n<p class=\"import-Normal page-break-before\"><strong>References<\/strong><\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Alene, Arega D., Abebe Menkir, S.O. 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Miller. 2004. \u201cDeterminants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach.\u201d <em>The American Economic Review<\/em> 94 (4): 813\u2013835.<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Shrestha, Rajendra B ., and Chennat Gopalakrishnan. 1993. \u201cAdoption and Diffusion of Drip Irrigation Technology: An Econometric Analysis.\u201d <em>Economic Development and Cultural Change<\/em> 41 (2): 407\u2013418.<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Suri, Tavneet. 2011. \u201cSelection and Comparative Advantage in Technology Adoption.\u201d <em>Econometrica<\/em> 79 (1): 159\u2013209.<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Temple, Judy A., and Arthur J. Reynolds. 2007. \u201cBenefits and Costs of Investments in Preschool Education: Evidence from the Child\u2013Parent Centers and Related Programs.\u201d <em>Economics of Education Review<\/em> 26 (1): 126\u2013144.<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Udry, Christopher. 1996. \u201cGender, Agricultural Production, and the Theory of the Household.\u201d <em>Journal of Political Economy<\/em> 104 (5): 1010\u20131046.<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">University of Minnesota. 2018. \u201cUMN Plant Breeders Introduce First Kiss Apple.\u201d Retrieved December 6, 2019. https:\/\/twin-cities.umn.edu\/news-events\/umn-plant-breeders-introduce-first-kiss-apple.<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">World Bank. 2007. \u201cWorld Development Report 2008: Agricutlure for Development.\u201d Washington, DC: World Bank.<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">\u2014\u2014\u2014. 2022. \u201cWorld Development Indicators.\u201d Retrieved August 27, 2022. www.databank.worldbank.org.<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">\u2014\u2014\u2014. 2023. \u201cWorld Development Indicators.\u201d <em>Databank<\/em>.<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">World Food Programme. 2017. \u201cYemen Facts and Figures.\u201d<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">\u2014\u2014\u2014. 2023. \u201cWFP Yemen Situation Report # 7 July 2023.\u201d<\/p>\r\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Yining, Li. 2012. <em>Economic Reform and Development in China<\/em>. Cambridge: Cambridge University Press.<\/p>\r\n\r\n<\/div>","rendered":"<div class=\"production:-can-we-end-hunger?\">\n<h2>Can we end hunger?<\/h2>\n<p class=\"import-Normal\">In Yemen, 17 million people are food insecure, which means they do not have enough to eat.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"As of July 2023. World Food Programme 2023\" id=\"return-footnote-28-1\" href=\"#footnote-28-1\" aria-label=\"Footnote 1\"><sup class=\"footnote\">[1]<\/sup><\/a><\/sup> There are 3.5 million children and women in Yemen who are so malnourished they require urgent treatment. Two-thirds of children under the age of five in Yemen are so chronically malnourished that their growth has been stunted.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"World Food Programme 2017\" id=\"return-footnote-28-2\" href=\"#footnote-28-2\" aria-label=\"Footnote 2\"><sup class=\"footnote\">[2]<\/sup><\/a><\/sup> This rate is an <em>increase<\/em> in malnutrition from previous decades, when around half of children were stunted.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"El-Kogali and Krafft 2015\" id=\"return-footnote-28-3\" href=\"#footnote-28-3\" aria-label=\"Footnote 3\"><sup class=\"footnote\">[3]<\/sup><\/a><\/sup> In the long term, these malnourished children will learn less (if they attend school), earn less when they work, and have poorer health throughout their lives.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Dewey and Begum 2011\" id=\"return-footnote-28-4\" href=\"#footnote-28-4\" aria-label=\"Footnote 4\"><sup class=\"footnote\">[4]<\/sup><\/a><\/sup> Conflict in Yemen has moved the country closer to famine.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Moyer et al. 2019\" id=\"return-footnote-28-5\" href=\"#footnote-28-5\" aria-label=\"Footnote 5\"><sup class=\"footnote\">[5]<\/sup><\/a><\/sup><\/p>\n<div>\n<div class=\"textbox shaded\">\n<p><span class=\"import-Normal tight\"><em>Food security exists when all people, at all times, have physical and economic access to sufficient safe and nutritious food that meets their dietary needs and food preferences for an active and health lifestyle.<\/em><\/span><\/p>\n<p class=\"import-Normal\"><em>&#8211;1996 World Food Summit<\/em><\/p>\n<\/div>\n<\/div>\n<p class=\"import-Normal\">In the United States, there are 14 million food insecure households (10 percent of households).<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"As of 2021. Coleman-Jensen et al. 2022\" id=\"return-footnote-28-6\" href=\"#footnote-28-6\" aria-label=\"Footnote 6\"><sup class=\"footnote\">[6]<\/sup><\/a><\/sup> There are 5 million children in the United States who are in households where food insecurity is affecting children.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"As of 2021. Coleman-Jensen et al. 2022\" id=\"return-footnote-28-7\" href=\"#footnote-28-7\" aria-label=\"Footnote 7\"><sup class=\"footnote\">[7]<\/sup><\/a><\/sup> Despite programs designed to prevent hunger, such as food stamps, children and families are still suffering from hunger in the United States. These children perform worse in school near the end of the month\u2014when their food stamps have run out.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Cotti, Gordanier, and Ozturk 2018\" id=\"return-footnote-28-8\" href=\"#footnote-28-8\" aria-label=\"Footnote 8\"><sup class=\"footnote\">[8]<\/sup><\/a><\/sup><\/p>\n<p class=\"import-Normal\">Although the United States is a much wealthier nation than Yemen, and hunger is a less common issue, both countries still fail to meet the most basic needs of all of their citizens\u2014starting with food. This chapter introduces the economics of production\u2014how countries create and distribute resources\u2014to help us think about what it would take to end hunger.<\/p>\n<h2>How can economics help us end hunger?<\/h2>\n<p class=\"import-Normal\"><strong>Economics<\/strong> is the study of how societies allocate their scarce resources. In both Yemen and the United States\u2014and around the world\u2014understanding the allocation of scarce resources is critical to addressing hunger. Food itself is a scarce resource when families go hungry. Producing food depends on a number of different inputs, such as land, water, and seeds, which are also scarce. Economics can help us think about how to allocate food to people so we can reduce or eliminate hunger. One of the ways economics can help end hunger is by helping us allocate not just food, but the inputs that produce food.<\/p>\n<p class=\"import-Normal\">Economists think about allocation decisions on two levels. The first is <strong>microeconomics<\/strong>, thinking about the behavior of individuals or firms. When thinking about hunger, a microeconomic focus might be on how farmers choose between different crops or decide how much water to allocate to each crop. The second type of economics is <strong>macroeconomics<\/strong>, the study of the economy of a nation (or a region or the world) as a whole. Macroeconomics would shift the focus to the output of an entire nation or state. This text covers both macroeconomic and microeconomic topics.<\/p>\n<h2>How do we produce food?<\/h2>\n<p class=\"import-Normal\">Whether we are thinking about a single farm (microeconomics) or a nation (macroeconomics), how much food (output) it can produce depends on inputs (seeds, land, farmers). Economists divide inputs into two types\u2014labor and capital. <strong>Labor <\/strong>consists of the people (human inputs) that can potentially produce goods and services. When we are thinking about a family farm, labor would be the number of hours family members could work on the farm. Since there are only a fixed number of hours in the day, labor is a scarce resource. When we\u2019re thinking about the entire economy, labor might be measured in millions of workers.<\/p>\n<p class=\"import-Normal\">Economists typically measure labor in hours or number of workers. However, this assumes workers are all able to produce the same amount of food, which is not accurate. How much workers can produce depends on a variety of factors\u2014such as their skills or their health. Economists call these aspects of labor human capital. <strong>Human capital<\/strong> is the information, skills, knowledge, education, and health of workers. It shapes their ability to translate their time into production. For example, an experiment in Guatemala demonstrated that children who received a nutrition supplement during childhood were more productive as adults, earning higher wages, because of the investment in their health\u2014their human capital.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Hoddinott et al. 2008\" id=\"return-footnote-28-9\" href=\"#footnote-28-9\" aria-label=\"Footnote 9\"><sup class=\"footnote\">[9]<\/sup><\/a><\/sup> Likewise, when students go to college, they expect to be more productive and earn more as adults, because they have invested in their human capital. One way to think about human capital is that labor tends to refer to the <em>quantity<\/em> of labor, while human capital is one way for economists to think about the <em>quality<\/em> of labor.<\/p>\n<p class=\"import-Normal\">In order to produce food, farms need not only labor and human capital, but also physical capital. <strong>Physical capital<\/strong> consists of the physical inputs, such as tractors and land, that help produce outputs. Physical capital also includes infrastructure\u2014roads, electricity, water, and other public works that facilitate production. Natural resources (such as minerals or oil) also are a form of physical capital. Land, water, seeds, and fertilizer are examples of important physical capital inputs that contribute to the production of food.<\/p>\n<p class=\"import-Normal\">Technology is the final element of production. <strong>Technology <\/strong>refers to the inventions or innovations, as well as new ways of organizing work, that allow us to produce more even with the same amount of inputs. For example, in West and Central Africa, the International Institute of Tropical Agriculture and the International Maize and Wheat Improvement Center work on improving the varieties of maize (a key food crop) available.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Alene et al. 2009\" id=\"return-footnote-28-10\" href=\"#footnote-28-10\" aria-label=\"Footnote 10\"><sup class=\"footnote\">[10]<\/sup><\/a><\/sup> Essentially, they invent new varieties of maize with enhanced capabilities, such as drought resistance. The emerging technology of new maize varieties allows farmers to produce more food with the same amount of land and labor.<\/p>\n<p class=\"import-Normal\">It can be confusing to try to distinguish between technology and capital. Is a new irrigation system technology or is it capital? The technology (idea) of drip irrigation to water crops has been around for decades.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Shrestha and Gopalakrishnan 1993\" id=\"return-footnote-28-11\" href=\"#footnote-28-11\" aria-label=\"Footnote 11\"><sup class=\"footnote\">[11]<\/sup><\/a><\/sup> However, as <strong>Box 1.<\/strong><strong>1<\/strong> demonstrates, not everyone adopts, or utilizes, new technology. Only when technology is adopted can it be classified as physical capital. Some farmers do not invest in the capital of drip irrigation. The farmers who do invest in drip irrigation have it as part of their capital.<\/p>\n<p>&nbsp;<\/p>\n<div class=\"textbox textbox--examples\">\n<header class=\"textbox__header\"><span class=\"textbox__title tight\"><strong>Box 1.<\/strong><strong>1<\/strong><strong>. Economists in action: Tavneet Suri on agricultural technology adoption<\/strong><sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Suri 2011\" id=\"return-footnote-28-12\" href=\"#footnote-28-12\" aria-label=\"Footnote 12\"><sup class=\"footnote\">[12]<\/sup><\/a><\/sup><\/span><\/header>\n<div class=\"textbox__content\"><span class=\"textbox__content very-tight\">Tavneet Suri is a professor at MIT and an economist who works in development economics (how and why countries grow and develop) and agricultural economics (the economics of growing food). Born and raised in Kenya, she researches technology adoption in sub-Saharan Africa. Agricultural yields (production per acre) have been stagnant or falling in many sub-Saharan African countries, contributing to food insecurity. This decrease in yields is occurring despite the existence of technology\u2014such as hybrid crops and fertilizers\u2014that can increase yields. Adoption of these technologies has been persistently low in many countries. Suri studied farmers\u2019 technology adoption decisions in Kenya and identified problems in access to seed and fertilizer as important barriers to adopting technology that would improve yields for farmers.<\/span><\/div>\n<\/div>\n<p class=\"import-Normal\">The combination of inputs is also important. A simple example of this would be that, on a farm operated by tractors, you would need a driver (labor) for each tractor (physical capital). Any tractor that sits idle due to a lack of driver will not add anything to production. Thus, labor, human capital, and physical capital work best together. Some forms of physical capital, such as hybrid seeds, are more likely to be adopted and can be used more effectively by educated individuals.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Foster and Rosenzweig 1996\" id=\"return-footnote-28-13\" href=\"#footnote-28-13\" aria-label=\"Footnote 13\"><sup class=\"footnote\">[13]<\/sup><\/a><\/sup><\/p>\n<h2>How can we produce more food?<\/h2>\n<p class=\"import-Normal\">Now that we have thought through how food is produced, we can turn to a central question for reducing hunger: how can we produce <em>more<\/em> food? A straightforward answer would seem to be more inputs\u2014and more technology. However, where do these inputs and technology come from? We have to invest in them in the <strong>long <\/strong><strong>run<\/strong> (over a long period of time). In the <strong>short <\/strong><strong>run<\/strong> (for example, this year), our inputs and technology are fixed. If we want to produce more food, we are going to have to use our inputs differently. This section examines how to produce more food, first in the short run, and then in the long run.<\/p>\n<h3>Producing more food in the short run<\/h3>\n<p class=\"import-Normal\">The scarcity of resources is a key economic insight. If we want more workers on the farm, we will have to accept fewer workers in schools or factories. This is the central economic concept of tradeoffs. The saying \u201cthere is no free lunch\u201d illustrates this idea. You have to give up something to get something. Economists often use models to think about these tradeoffs. Models are simplifications of the real world that help us think about economic issues\u2014like the tradeoffs involved in producing more food.<\/p>\n<p class=\"import-Normal\">The specific model for thinking about how a household or a country might produce more food is called the <strong>production possibilities frontier.<\/strong> A production possibilities frontier shows what can currently be produced, given current resources (physical capital, labor, human capital, and technology). With this model, we simplify to a world where there are two goods. In real life, there are millions of different possible goods and services we can produce, but focusing on just two helps us think through critical tradeoffs. The insights gleaned from this simple model can then be applied to any number of goods.<\/p>\n<p class=\"import-Normal\">Figure 1.1 is a production possibilities frontier for food and housing. Here we are thinking on country scale, in terms of millions of tons of food, and millions of housing units (houses). Food is measured on one axis (the x-axis) and housing is on the other axis (the y-axis). Let\u2019s say that this country is Yemen, where there is widespread food insecurity and hunger. Yemen faces a tough choice and important tradeoffs, symbolized by the production possibilities frontier. Yemen (currently, in the short run) has a fixed amount of resources (physical capital, labor, human capital, and technology). The curve\u2014called the <em>frontier<\/em>\u2014shows the different combinations of goods (food and housing) that Yemen can produce given its current resources. The frontier is the maximum possible. Any point on the frontier represents a particular combination of food and housing. To produce more of one good, Yemen has to give up some of the other good. Point A is one extreme: all food, 30 million tons. However, this means that Yemen builds no housing. Point B is the opposite extreme: 15 million housing units and no food. The remaining points are a mix of goods. Point C is more food (26 million tons) and less housing (7.5 million units). Point D is more housing (14.6 million units) and less food (7.3 million tons). Point E is a mix in the middle, 21.5 million tons of food and 10.4 million units of housing.<\/p>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_59\" aria-describedby=\"caption-attachment-59\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-59 size-large\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2019\/12\/F1.1-PPF-scaled.jpg\" alt=\"Production Possibilities\" width=\"1024\" height=\"842\" \/><figcaption id=\"caption-attachment-59\" class=\"wp-caption-text\">Figure 1.1. Production possibilities frontier for food and housing<\/figcaption><\/figure>\n<p class=\"import-Normal\">Point E illustrates an important feature: the production possibilities frontier is curved. We can have more of a mix of goods (31.9 million goods total) than just one alone (15 million housing units or 30 million tons of food). This is because inputs tend to be specialized. <strong>Specialization<\/strong> means that an input is better suited for producing one output, such as food, than another, such as housing. For labor, this would mean that a carpenter is much better at producing housing than food. If we want to produce all food, that means our carpenter will be farming\u2014and she will not produce very much. Likewise, physical inputs are specialized. Yemen\u2019s resources of seeds will not produce much housing. Some inputs may be quite useful for both goals\u2014land would be useful for both housing and producing food, although the quality of the land might mean some land, for instance with good soil, is better for food, while other land, for instance with sandy soil, is better for housing.<\/p>\n<p class=\"import-Normal\">Point F, which is not on the curve, (5 million of each good) is inefficient; we could increase both food and housing at the same time. We are not using all of our resources at point F; that is why it is inefficient. Point G, 19 million housing units and 35 million tons of food, is currently impossible (not feasible). With our current resources we cannot produce so much housing and food.<\/p>\n<p class=\"import-Normal\">So how does Yemen decide what to produce, given its current resources? It depends on tradeoffs and people\u2019s preferences. Perhaps it is currently at point E, producing a mix of 21.6 million tons of food and 10.4 million housing units. If Yemen wants to move to point C, which has more food (26.0 million tons), to gain that additional 4.4 million tons of food and reduce hunger, it will have to give up 3.1 million housing units (go from 10.4 million to 7.3 million). This tradeoff is referred to in economics as the <strong>opportunity cost<\/strong>. It is not a dollar cost Yemen has to pay, but the opportunities (for housing) that Yemen has to give up to get more food. The opportunity cost, at point E, for 4.4 million tons of food is 3.1 million housing units.<\/p>\n<p class=\"import-Normal\">In this example, we\u2019ve been thinking on a large, national scale, and in terms of changes in the millions. A similar principle applies to busy college students facing time constraints during finals. One more hour spent studying for economics means one less hour writing your political science paper. You have a finite amount of resources, including time. The opportunity cost of gaining ten more points on your economics final may be one less page in your political science paper. These decisions about one page or one hour show another aspect common to economics thinking: thinking at the margin. Although it can be helpful to think about what it would take to get to 4.4 million tons more food, most decisions are made like those of the student during finals, thinking about tradeoffs in terms of one more hour. This \u201cone more\u201d thinking is referred to in economics as thinking on the <strong>margin<\/strong>. Thinking on the margin refers to thinking about what one additional hour of paper-writing costs, or one additional ton of food takes.<\/p>\n<h3>Producing more food in the long run<\/h3>\n<p class=\"import-Normal\">The production possibilities frontier is a model for what we can produce right now, in the short run, given our current resources and technology. We can also use this model to think about the long run. In the long run, our whole production possibilities frontier can shift. In the long run, producers (countries, firms, or family farms) can change their inputs and their technology. When these changes in inputs and technology lead to more production being possible, that means the economy is growing. When these changes in inputs and technology lead to less production being possible, that means the economy is shrinking.<\/p>\n<p class=\"import-Normal\">Figure 1.2 shows the economy growing over time. Point J and its frontier were the maximum production options possible in 2019. However, by 2029 point K and its frontier are the most possible, because of better technology and inputs. While point J was 21.6 million tons of food and 10.4 million units of housing, point K is 25.9 million tons of food and 12.5 million units of housing\u2014more of both. Point K was not feasible (possible) in 2019; in 2029 it is now feasible. The shift from the production possibilities frontier with point J to the production possibilities frontier with point K represents economic growth. The key difference between the short run and the long run is that, while in the short run a country can only move <em>along<\/em> the production possibilities frontier, in the long run it can <em>change<\/em> the production possibilities frontier, shifting it outward (growing the economy) or inward (shrinking the economy).<\/p>\n<p><small>\u00a0<\/small><\/p>\n<figure id=\"attachment_51\" aria-describedby=\"caption-attachment-51\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-51 size-large\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.2-PPF-growth-scaled.jpg\" alt=\"Growth in production possibilities\" width=\"1024\" height=\"831\" \/><figcaption id=\"caption-attachment-51\" class=\"wp-caption-text\">Figure 1.2. Production possibilities frontier with growth in the long run (from 2019 to 2029). Notes: Dashes to axes to help show quantities<\/figcaption><\/figure>\n<p class=\"import-Normal\">In the long-run, growth may occur more in some outputs than others. For example, a house requires a relatively fixed amount of land, so there may not be much growth in the production possibilities for housing over time if there is a limited amount of land inputs in the country. However, improvements in agricultural technology have allowed farmers to have increased yields (output of food) from the same amount of land. When there\u2019s growth in the long-run in one product (but not so much in the other) this is referred to as <strong>specific growth<\/strong>, as opposed to <strong>general growth<\/strong>. Figure 1.2 showed general growth, increases in the PPF for both food and housing. Figure 1.3, in contrast, shows a case of food-specific growth; more food is possible than used to be the case. Even though the maximum amount of housing is the same, it may be the case that more housing is produced nonetheless, because some resources (such as land) are shifted from food to housing as agriculture becomes more productive. This is visible in the shift from point L (24.3 million tons of food and 8.8 million housing units) in 2019 to point M (28.5 million tons of food and 10.2 million housing units) in 2029. Both food and housing increased, food relatively more so as a result of food-specific growth.<\/p>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_50\" aria-describedby=\"caption-attachment-50\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-50\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.3-specific-v-gen-scaled.jpg\" alt=\"\" width=\"1024\" height=\"842\" \/><figcaption id=\"caption-attachment-50\" class=\"wp-caption-text\">Figure 1.3. Production possibilities frontier with food-specific growth<\/figcaption><\/figure>\n<p class=\"import-Normal\">What can we do to stimulate growth and produce more food? Policies to promote growth depend on the same factors that determine production in the short run: quantity of labor, quality of labor (human capital), physical capital, and technology. While these were fixed in the short run, in the long run they can be changed. When these inputs grow in number or quality, they lead to economic growth. When these inputs decrease in number or quality (for example, a town\u2019s production shrinking because it has fewer and fewer people), the economy shrinks.<\/p>\n<p class=\"import-Normal\">In terms of the quantity of labor, countries facing shortages of labor can either encourage immigration or try to encourage increases in the birth rate. An example of this would be generous parental leave or child care policies.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Dion et al. 2015; R\u00f8nsen 2004\" id=\"return-footnote-28-14\" href=\"#footnote-28-14\" aria-label=\"Footnote 14\"><sup class=\"footnote\">[14]<\/sup><\/a><\/sup> Improving human capital requires upgrading the health, skills, or knowledge of the workforce. There are a variety of different ways to increase skills; increasing education is one that we will examine in more detail in a later chapter. Encouraging apprenticeships, which lead to job-relevant skills, can lead to increases in human capital that pay off economically.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Krafft 2018\" id=\"return-footnote-28-15\" href=\"#footnote-28-15\" aria-label=\"Footnote 15\"><sup class=\"footnote\">[15]<\/sup><\/a><\/sup><\/p>\n<p class=\"import-Normal\">Improving physical capital can be challenging. Physical capital, whether a sewing machine, new factory, or new road, tends to be a large and expensive investment, requiring savings. We further explore savings in later chapters. Infrastructure investments, such as roads, are one example of an investment in physical capital that can increase production. A study in Nepal demonstrated that expanding roads in rural areas would substantially improve agricultural production, particularly benefiting the rural poor.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Jacoby 2000\" id=\"return-footnote-28-16\" href=\"#footnote-28-16\" aria-label=\"Footnote 16\"><sup class=\"footnote\">[16]<\/sup><\/a><\/sup> Another challenge with infrastructure investments is that they are typically publicly available and used by a large number of people, making them difficult to finance, an issue we return to in later chapters.<\/p>\n<p class=\"import-Normal\">Technology has played a particularly critical role in improving well-being over time, including reducing hunger. For example, the \u201cgreen revolution\u201d in Asia, driven by the introduction of new varieties of wheat and rice in the 1960s and 1970s (new technology), led to large increases in agricultural production which raised farmer\u2019s incomes and well-being substantially.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"World Bank 2007\" id=\"return-footnote-28-17\" href=\"#footnote-28-17\" aria-label=\"Footnote 17\"><sup class=\"footnote\">[17]<\/sup><\/a><\/sup> Other examples of technologies that substantially improved productivity and thus human well-being include the discovery of antibiotics, the invention of the computer, the industrial revolution, and the creation of assembly lines.<\/p>\n<p class=\"import-Normal\">Technology is important\u2014but how can we increase our level of technology and thus production? <strong>Research and development (R &amp; D)<\/strong> is typically required for intentionally improving technology. The future of technology is very uncertain and difficult to predict, which makes R &amp; D investment challenging and time-consuming. For example, University of Minnesota fruit breeders started work on a new apple variety for Minnesota in the 1990s that only became commercially available in 2018.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"University of Minnesota 2018\" id=\"return-footnote-28-18\" href=\"#footnote-28-18\" aria-label=\"Footnote 18\"><sup class=\"footnote\">[18]<\/sup><\/a><\/sup> A further challenge is that once something is invented, it is typically available to everyone, unless individuals or firms are given exclusive legal rights (such as patents). The broad availability of technology reduces the motivation of individuals or firms to invest in R &amp; D.<\/p>\n<p class=\"import-Normal\">Even when seemingly great technology ideas are developed, they may not work well in real life. <strong>Box <\/strong><strong>1<\/strong> illustrated the challenge of agricultural technology adoption\u2014using new technologies once they are invented. Adoption also depends on the quality of the new technology. In India, cxv rely on traditional stoves that burn firewood, dung, or agricultural waste. In laboratory conditions, improved cookstoves were shown to reduce indoor air pollution\u2014which is the leading cause of environmental deaths globally.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Hanna, Duflo, and Greenstone 2016\" id=\"return-footnote-28-19\" href=\"#footnote-28-19\" aria-label=\"Footnote 19\"><sup class=\"footnote\">[19]<\/sup><\/a><\/sup> This technology can particularly benefit women, who are disproportionately responsible for cooking. In development economics, there was a lot of optimism about how this technology could contribute to well-being. In real world conditions, however, the stoves broke, were difficult to maintain, and were costlier to households. Households stopped using them and there were no health improvements. This is just one illustration of the challenges of getting seemingly promising technology ideas to actually work in the real world in order to enhance wellbeing. Returning to our hybrid seeds example, one of the reasons that farmers may not adopt hybrid seeds is that the real-world quality of such inputs is low. For example, in Uganda, less than half of hybrid maize is authentic (more than half if fake), and thus, generates lower yields.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Bold et al. 2017\" id=\"return-footnote-28-20\" href=\"#footnote-28-20\" aria-label=\"Footnote 20\"><sup class=\"footnote\">[20]<\/sup><\/a><\/sup> Developing technologies to increase growth is not an easy process.<\/p>\n<h2>Who gets the food?<\/h2>\n<p class=\"import-Normal\">The PPF is a very useful model for thinking about how to increase production. It can be applied to questions such as increasing food or housing, education or health care, and manufacturing or services. So far, we\u2019ve been primarily focusing on production at a national level\u2014but also noting examples of how the same model might apply to an individual, family farm, or corporation. Since the PPF is a model that simplifies our economy, one issue missing from the model is the allocation of production\u2014who gets the food. The world actually produces enough food to feed everyone and eradicate hunger.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Gilbert et al. 2010\" id=\"return-footnote-28-21\" href=\"#footnote-28-21\" aria-label=\"Footnote 21\"><sup class=\"footnote\">[21]<\/sup><\/a><\/sup> The problem of hunger is a problem not just of production, but also of distribution, who gets the food.<\/p>\n<p class=\"import-Normal\">Why do certain families or countries experience hunger and others do not? The challenge is that food is produced locally\u2014different people own different amounts of inputs, such as land and labor, and therefore different amounts of resulting food. There are inequalities not only between nations in terms of allocation\u2014a family in Yemen is more likely to be hungry than a family in the United States\u2014but also within countries and even within households. For example, research in Burkina Faso has shown that, even within the same household, women\u2019s farm plots receive fewer inputs and produce less, contributing to inequality within households.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Udry 1996\" id=\"return-footnote-28-22\" href=\"#footnote-28-22\" aria-label=\"Footnote 22\"><sup class=\"footnote\">[22]<\/sup><\/a><\/sup> In this section, we discuss global economic systems that determine the allocation of resources and ultimately production.<\/p>\n<h3>Economic systems<\/h3>\n<p class=\"import-Normal\">Economic systems are determined on a national level and can take a variety of different forms. The two endpoints for the spectrum of economic systems are a command economy or a market economy. When individuals (or firms) own resources and their output, a country is operating under a <strong>market economy<\/strong>, also known as a capitalist economy. A market economy gives individuals (and firms) private ownership of resources, referred to as private property rights. Decisions about what to produce are determined by individuals and firms\u2014decision making is decentralized and coordinated through markets (a concept we will return to in the next chapter). Governments have no role in this system, or only enforce private property rights. <strong>A command economy<\/strong> involves collective, government ownership of resources, and is also known as a communist or planned economy. Resource and production decisions are planned and made by the command of the central government.<\/p>\n<p class=\"import-Normal\">Note that market economies and command economies are the endpoints of a spectrum of potential economic systems. No country is a pure command economy or a pure market economy. Countries mix elements of these different systems, to varying degrees. Their prevalence globally has also changed substantially over time. For example, in 1917, what would become the Soviet Union was formed as a result of the Russian revolution and represented a shift from a market to planned economy. In 1991, the Soviet Union dissolved, and began a shift towards a more market-based system.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Johnson and Kovzik 2016\" id=\"return-footnote-28-23\" href=\"#footnote-28-23\" aria-label=\"Footnote 23\"><sup class=\"footnote\">[23]<\/sup><\/a><\/sup> China likewise shifted to a command economy in the mid-20<sup>th<\/sup> century but has, since 1978, undertaken a series of market-oriented reforms.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Yining 2012\" id=\"return-footnote-28-24\" href=\"#footnote-28-24\" aria-label=\"Footnote 24\"><sup class=\"footnote\">[24]<\/sup><\/a><\/sup> The countries, including the Soviet Union and China, that were the closest to command economies were intensively planned. For instance, countries had five-year plans for what should be produced, and how the benefits of that production would be shared.<\/p>\n<p class=\"import-Normal\">There are substantial tradeoffs in countries\u2019 decisions around economic systems. A central tension in economics, and particularly economic systems, is the tradeoff that often occurs between equity and efficiency. Market economies tend to be more efficient and lead to more growth (there are a number of exceptions that we will discuss in subsequent chapters), while command economies tend to be more equitable. China\u2019s \u201cGreat Leap Forward\u201d reforms starting in 1958 illustrate this tension. China shifted to a much more equitable but less efficient economic model, organizing rural communities into large-scale communes. The resulting loss in efficiency in production lead to the deaths of approximately 23 million people.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Peng 1987\" id=\"return-footnote-28-25\" href=\"#footnote-28-25\" aria-label=\"Footnote 25\"><sup class=\"footnote\">[25]<\/sup><\/a><\/sup> However, inequality may also reduce growth, as illustrated in <strong>Box 1.<\/strong><strong>2<\/strong>. The relationships and tradeoffs between equity and efficiency are complex and hotly debated in economics.<\/p>\n<div class=\"textbox textbox--examples\">\n<header class=\"textbox__header\"><span class=\"textbox__title tight\"><strong>Box 1.<\/strong><strong>2<\/strong><strong>. Econo<\/strong><strong>mists in action: Nancy Birdsall on inequality and g<\/strong><strong>rowth<\/strong><sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Birdsall, Ross, and Sabot 1995; Center for Global Development 2017\" id=\"return-footnote-28-26\" href=\"#footnote-28-26\" aria-label=\"Footnote 26\"><sup class=\"footnote\">[26]<\/sup><\/a><\/sup><\/span><\/header>\n<div class=\"textbox__content\">\n<p class=\"import-Normal\">Nancy Birdsall is an economist who has worked at international aid organizations, including the Inter-American Development Bank, the World Bank, and the Carnegie Endowment for International Peace. She was the founding president of the Center for Global Development, which \u201cwork[s] to change the policies and practices of rich countries and powerful institutions to reduce global poverty and inequality.\u201d<\/p>\n<p class=\"import-Normal\">One important area of Nancy Birdsall\u2019s research has been on the relationship between inequality and growth. Economics typically emphasizes a tradeoff between growth and equity. Birdsall demonstrated that policies that reduce poverty and inequality, such as education, can also increase growth. She demonstrated that low inequality in East Asia contributed to the region\u2019s rapid growth from 1960-1985.<\/p>\n<\/div>\n<\/div>\n<p class=\"import-Normal\">The main reason market economies can be more efficient and lead to more growth than command economies is that the private property rights of market economies create important incentives (motivations). When individuals own resources and the output of those resources, it creates an incentive to be more efficient or work harder. Additional effort and investment on the family farm leads to more food for the family under a market economy. In a command economy, investment and effort by the family will not change how much food they receive. An example of the consequences of poor incentives is that, in China, when family farms had less ownership of land, they were less likely to invest in their land, lowering production.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Jacoby, Li, and Rozelle 2002\" id=\"return-footnote-28-27\" href=\"#footnote-28-27\" aria-label=\"Footnote 27\"><sup class=\"footnote\">[27]<\/sup><\/a><\/sup><\/p>\n<p class=\"import-Normal\">Although there are often tradeoffs in terms of equity and efficiency in economic systems, economics can also help us identify ways to enhance <em>both<\/em> equity and efficiency (or growth). For example, investing in early childhood education (a form of human capital) has been identified as one of the world\u2019s best investments by economists.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Temple and Reynolds 2007\" id=\"return-footnote-28-28\" href=\"#footnote-28-28\" aria-label=\"Footnote 28\"><sup class=\"footnote\">[28]<\/sup><\/a><\/sup> It has also been identified by economists as the most effective education policy for reducing inequality.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Checchi and van de Werfhorst 2014\" id=\"return-footnote-28-29\" href=\"#footnote-28-29\" aria-label=\"Footnote 29\"><sup class=\"footnote\">[29]<\/sup><\/a><\/sup> The importance of early childhood education for both efficiency and equity is why a number of countries that have a larger government role in the economy (a shift towards the command economy side of the spectrum), such as Norway, invest public funds heavily in early childhood education.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Drange and Havnes 2015\" id=\"return-footnote-28-30\" href=\"#footnote-28-30\" aria-label=\"Footnote 30\"><sup class=\"footnote\">[30]<\/sup><\/a><\/sup><\/p>\n<h2>Measuring our output<\/h2>\n<p class=\"import-Normal\">So far, we have been focusing on a two-good world in our production possibilities frontier model. However, in real life, there are not just two goods. How can we measure production with many goods? Economists measure output with the <strong>gross domestic product (GDP)<\/strong>, which is the market value of all final goods and services produced in a country over a specific time period. Market prices are used to calculate GDP based on what is produced. So, if a (very small) country produced five apples, priced at $2 each, two pears, priced at $3 each, and four bananas, priced at $1 each, its GDP would be $20 ($20=5*$2 2*$3 4*$1). Typically, GDP is an annual (year) measurement, but many countries also produce quarterly or monthly estimates of GDP.<\/p>\n<p class=\"import-Normal\">GDP can measure the level of a nation\u2019s production in current prices. When current prices are used to calculate GDP, this is referred to as <strong>nominal<\/strong> <strong>GDP<\/strong>. Nominal GDP could change over time due to prices rising, even if the country is producing the exact same amount of products. When prices increase for the same good or service, this is referred to as <strong>inflation<\/strong>. Economists measure changes in prices in order to know if a country is really producing more or not. When accounting for inflation, economists use <strong>price indices<\/strong>, measures of prices, such as the Consumer Price Index (CPI) to adjust GDP. GDP that has been corrected for inflation using a price index is referred to as <strong>real <\/strong><strong>GDP<\/strong>, measuring the real (not just price) changes in production. Real GDP tells us whether a country is actually producing more.<\/p>\n<p class=\"import-Normal\">Figure 1.4<sup><a class=\"footnote\" title=\"World Bank 2022\" id=\"return-footnote-28-31\" href=\"#footnote-28-31\" aria-label=\"Footnote 31\"><sup class=\"footnote\">[31]<\/sup><\/a><\/sup> shows real and nominal GDP in the United States and Yemen over time. Note that GDP for the United States is in trillions, and thus almost 1,000 times larger than that of Yemen, in billions. Real and nominal GDP have both been rising over time in the United States, with a dip around 2009 due to the Great Recession and another dip in 2020 with the COVID-19 pandemic. Nominal GDP has been rising faster than real GDP because prices have been rising over time; the two are the same in 2015, which was the base year used for prices in this case. Yemen had likewise been experiencing both nominal and real GDP growth until 2010. At that point, nominal GDP continued to rise quite rapidly because of rising prices, but real GDP fell, meaning fewer actual goods and services were being produced. Both real and nominal GDP began falling in Yemen starting in 2015, due to the ongoing war. The war has killed a quarter of a million people, destroyed housing and infrastructure, disrupted services, and pushed the country closer to famine.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Moyer et al. 2019\" id=\"return-footnote-28-32\" href=\"#footnote-28-32\" aria-label=\"Footnote 32\"><sup class=\"footnote\">[32]<\/sup><\/a><\/sup><\/p>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_121\" aria-describedby=\"caption-attachment-121\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-121\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.4-real-nominal-gdp-scaled-1.jpg\" alt=\"\" width=\"1024\" height=\"567\" \/><figcaption id=\"caption-attachment-121\" class=\"wp-caption-text\">Figure 1.4. Real and nominal GDP in the United States (trillions) and Yemen (billions)<\/figcaption><\/figure>\n<p class=\"import-Normal\">Two of the most important, headline-grabbing measures of the economy are the GDP growth rate and the inflation rate. These rates measure how much production is changing, which determines what a country can possibly consume, and how much prices are changing. While Figure 1.4 showed the level of output and prices, Figure 1.5<sup><a class=\"footnote\" title=\"World Bank 2022\" id=\"return-footnote-28-33\" href=\"#footnote-28-33\" aria-label=\"Footnote 33\"><sup class=\"footnote\">[33]<\/sup><\/a><\/sup> shows how they have changed over time. The (real) GDP growth rate shows how much production has expanded or, as in 2009 and 2020, contracted in the United States. The volatility of GDP growth is referred to as the business cycle, reflecting short run fluctuations. In the U.S., real GDP growth in the long run has tended to be between 2% and 4%. Prices have usually increased between 1% and 3% through 2020, but then inflation rose rapidly in 2021, due in part to supply chain disruptions caused by the pandemic. In contrast, Yemen has experienced much more volatile production and prices, with the real GDP growth rate ranging from a high of 8% to a low of -28%. Inflation has likewise varied from a 55% annual increase in prices down to as low as 2%. These fluctuations represent profound changes in the ability of the country to produce food or other goods, as well as for consumers to afford the prices of different goods, including food.<\/p>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_117\" aria-describedby=\"caption-attachment-117\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-117\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.5-growth-infl-scaled-1.jpg\" alt=\"\" width=\"1024\" height=\"575\" \/><figcaption id=\"caption-attachment-117\" class=\"wp-caption-text\">Figure 1.5. Real GDP growth rates and inflation rates (percentages) in the United States and Yemen<\/figcaption><\/figure>\n<p class=\"import-Normal\">Another important factor to consider with GDP is how many people are in a country. When we divide the production of the country by its population, we calculate <strong>per capita<\/strong> <strong>GDP<\/strong> (per capita means per person). Per capita GDP can be in real or nominal terms. Although per capita GDP does not account for inequalities and is just an average, it is still a helpful starting point for considering a country\u2019s resources and production. Figure 1.6<sup><a class=\"footnote\" title=\"World Bank 2023\" id=\"return-footnote-28-34\" href=\"#footnote-28-34\" aria-label=\"Footnote 34\"><sup class=\"footnote\">[34]<\/sup><\/a><\/sup> illustrates this point with real per capita GDP for the United States and Yemen. As of 2022, real GDP per capita was $62,867 in the United States and $1,018 in Yemen. While real GDP per capita in the United States increased over time, with a dip during the Great Recession and pandemic, real GDP per capita has risen and fallen in Yemen. It reached a high of $2,547 per capita in 2010 before falling to less than half of that level by 2022. Already starting from a low level, this means that the country has, on average, less than half as much production to meet the basic needs of its citizens.<\/p>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_61\" aria-describedby=\"caption-attachment-61\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-61 size-large\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.6-per-capita-gdp-scaled-1.jpg\" alt=\"\" width=\"1024\" height=\"673\" \/><figcaption id=\"caption-attachment-61\" class=\"wp-caption-text\">Figure 1.6. Real per capita GDP in the United States and Yemen<\/figcaption><\/figure>\n<h3>Measuring poverty<\/h3>\n<p class=\"import-Normal\">There are enormous disparities in the average level of production available to support the needs of Americans and Yemenis. Yet both countries have problems with hunger (although to varying degrees). This is because of inequality within countries and insufficient resources available to certain individuals and households. There are a variety of ways to measure <strong>poverty<\/strong>, when people do not have enough resources to meet their basic needs. In a later chapter, we examine poverty in the United States, and anti-poverty policies, including anti-hunger programs, in detail. For now, we will look at one measure of poverty\u2014the percentage of people living on less than $2.15 per day. Taking into account price differences across country, this is considered a measure of extreme poverty. The good news is that extreme poverty has decreased over time in every single region of the globe (Figure 1.7<sup><a class=\"footnote\" title=\"Hasell et al. 2023\" id=\"return-footnote-28-35\" href=\"#footnote-28-35\" aria-label=\"Footnote 35\"><sup class=\"footnote\">[35]<\/sup><\/a><\/sup>). Despite a rising global population, there are fewer people living in extreme poverty than there were 20 years ago.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Roser and Ortiz-Ospina 2013\" id=\"return-footnote-28-36\" href=\"#footnote-28-36\" aria-label=\"Footnote 36\"><sup class=\"footnote\">[36]<\/sup><\/a><\/sup> Although we have not solved world hunger, and no region or country has zero poverty, we have, globally, made major progress.<\/p>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_60\" aria-describedby=\"caption-attachment-60\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-60 size-large\" src=\"https:\/\/pressbooks.ccconline.org\/accphysicalgeology\/wp-content\/uploads\/sites\/157\/2023\/09\/F1.7-global-poverty-reg-scaled-1.jpg\" alt=\"\" width=\"1024\" height=\"676\" \/><figcaption id=\"caption-attachment-60\" class=\"wp-caption-text\">Figure 1.7. Extreme poverty rates (percentage of population living on less than $2.15 per day) by region<span style=\"font-size: 11.2px\">.<\/span> Notes: in 2017 international dollars, adjusted for price differences across countries and time.<\/figcaption><\/figure>\n<h2>Conclusions<\/h2>\n<p class=\"import-Normal\">There is reason to hope that we can end hunger. The world already produces enough food to feed everyone.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Gilbert et al. 2010\" id=\"return-footnote-28-37\" href=\"#footnote-28-37\" aria-label=\"Footnote 37\"><sup class=\"footnote\">[37]<\/sup><\/a><\/sup> This production is, however, unequally distributed across countries and across households and individuals within countries. Differences in technology, physical and human capital and labor across countries are a key driver of international inequality. These differences arise for a variety of complex forces, ranging from the impact of colonialism to differences in physical climate.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"Sala-i-Martin, Doppelhofer, and Miller 2004\" id=\"return-footnote-28-38\" href=\"#footnote-28-38\" aria-label=\"Footnote 38\"><sup class=\"footnote\">[38]<\/sup><\/a><\/sup><\/p>\n<p class=\"import-Normal\">Global development goals (such as the Sustainable Development Goals) include eradicating hunger. Global organizations such as the World Food Program (WFP), United Nations (UN), World Bank, Food and Agriculture Organization (FAO), and International Fund for Agricultural Development (IFAD) work to reduce hunger. They provide a variety of short run help (humanitarian aid). They also provide grants, loans, and technical assistance (advice) to allow for investments in human and physical capital and technology that can increase production and reduce hunger in the long-run. Funded by wealthier countries, these agencies have helped (but not solved) the problem of world hunger; WFP has already cut back the food aid it is giving Yemen due to insufficient funding.<sup class=\"import-FootnoteReference\"><a class=\"footnote\" title=\"World Food Programme 2023\" id=\"return-footnote-28-39\" href=\"#footnote-28-39\" aria-label=\"Footnote 39\"><sup class=\"footnote\">[39]<\/sup><\/a><\/sup><\/p>\n<p class=\"import-Normal\">Although private property and other aspects of market economies create incentives that can spur growth, who owns property (or other forms of wealth) and who receives investments matters. Property ownership and investments are unequally distributed within countries. We will return to this point in the chapter on discrimination. Despite the challenges of inequality, we have seen global progress in reducing hunger and poverty. Investments in different aspects of production\u2014labor, human capital, physical capital, and technology\u2014have all contributed to increases in production. Families can produce more food by investing in these areas. Depending on the role they choose for government, countries can reduce inequality or spur growth through public policies that encourage or create investments in these areas. One day, these investments may be enough to end hunger. <strong><br style=\"clear: both\" \/><\/strong><\/p>\n<div class=\"textbox textbox--learning-objectives\">\n<header class=\"textbox__header\">\n<p class=\"textbox__title\"><strong>List of terms<\/strong><\/p>\n<\/header>\n<div class=\"textbox__content twocolumn\">\n<ul>\n<li class=\"import-Normal\" style=\"margin-top: -1.25em;padding-top: 0\">Economics<\/li>\n<li class=\"import-Normal\">Microeconomics<\/li>\n<li class=\"import-Normal\">Macroeconomics<\/li>\n<li class=\"import-Normal\">Labor<\/li>\n<li class=\"import-Normal\">Human Capital<\/li>\n<li class=\"import-Normal\">Physical Capital<\/li>\n<li class=\"import-Normal\">Technology<\/li>\n<li class=\"import-Normal\">Long run<\/li>\n<li class=\"import-Normal\">Short run<\/li>\n<li class=\"import-Normal\">Production Possibilities Frontier<\/li>\n<li class=\"import-Normal\">Specialization<\/li>\n<li class=\"import-Normal\">Opportunity cost<\/li>\n<li class=\"import-Normal\">Margin<\/li>\n<li class=\"import-Normal\">Research and development (R&amp;D)<\/li>\n<li class=\"import-Normal\">Command economy<\/li>\n<li class=\"import-Normal\">Market economy<\/li>\n<li class=\"import-Normal\">Gross Domestic Product (GDP)<\/li>\n<li class=\"import-Normal\">Nominal<\/li>\n<li class=\"import-Normal\">Inflation<\/li>\n<li class=\"import-Normal\">Price index<\/li>\n<li class=\"import-Normal\">Real<\/li>\n<li class=\"import-Normal\">Per capita<\/li>\n<li class=\"import-Normal\">Poverty<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<p class=\"import-Normal page-break-before\"><strong>References<\/strong><\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Alene, Arega D., Abebe Menkir, S.O. Ajala, B. Badu-Apraku, A. S. Olanrewaju, V. M. Manyong, and Abdou Ndiaye. 2009. \u201cThe Economic and Poverty Impacts of Maize Research in West and Central Africa.\u201d <em>Agricultural Economics<\/em> 40: 535\u2013550.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Birdsall, Nancy, David Ross, and Richard Sabot. 1995. \u201cInequality and Growth Reconsidered: Lessons from East Asia.\u201d <em>The World Bank Economic Review<\/em> 9 (3): 477\u2013508.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Bold, Tessa, Kayuki C. Kaizzi, Jakob Svensson, and David Yanagizawa-Drott. 2017. \u201cLemon Technologies and Adoption: Measurement, Theory, and Evidence from Agricultural Markets in Uganda.\u201d <em>Quarterly Journal of Economics<\/em> 132 (3): 1055\u20131100.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Center for Global Development. 2017. \u201cAbout CGD.\u201d Retrieved August 7, 2017. https:\/\/www.cgdev.org\/page\/about-cgd.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Checchi, Daniele, and Herman G. van de Werfhorst. 2014. \u201cEducational Policies and Income Inequality.\u201d <em>IZA Discussion Paper Series No. 8222<\/em>. Bonn, Germany.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2022. \u201cHousehold Food Security in the United States in 2020.\u201d <em>U.S. Department of Agriculture, Economic Research Service<\/em>.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">\u2014\u2014\u2014. 2021b. \u201cStatistical Supplement to Household Food Security in the United States in 2021.\u201d <em>U.S. Department of Agriculture, Economic Research Service<\/em>.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Cotti, Chad, John Gordanier, and Orgul Ozturk. 2018. \u201cWhen Does It Count? The Timing of Food Stamp Receipt and Educational Performance.\u201d <em>Economics of Education Review<\/em> 66: 40\u201350.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Dewey, Kathryn G., and Khadija Begum. 2011. \u201cLong-Term Consequences of Stunting in Early Life.\u201d <em>Maternal &amp; Child Nutrition<\/em> 7: 5\u201318.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Dion, Patrice, Eric Caron-Malenfant, Chantal Grondin, and Dominic Grenier. 2015. \u201cLong-Term Contribution of Immigration to Population Renewal in Canada: A Simulation.\u201d <em>Population and Development Review<\/em> 41 (1): 109\u2013126.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Drange, Nina, and Tarjei Havnes. 2015. \u201cChild Care Before Age Two and the Development of Language and Numeracy: Evidence from a Lottery.\u201d <em>IZA Discussion Paper Series No. 8904<\/em>.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">El-Kogali, Safaa, and Caroline Krafft. 2015. <em>Expanding Opportunities for the Next Generation: Early Childhood Development in the Middle East and North Africa<\/em>. Washington, DC: World Bank.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Foster, Andrew D., and Mark R. 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Retrieved August 24, 2023. https:\/\/ourworldindata.org\/poverty.<\/p>\n<p class=\"import-Normal indent\" style=\"margin-left: 24pt;text-indent: -24pt\">Hoddinott, John, John A. Maluccio, Jere R. 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Cambridge: Cambridge University Press.<\/p>\n<\/div>\n<hr class=\"before-footnotes clear\" \/><div class=\"footnotes\"><ol><li id=\"footnote-28-1\">As of July 2023. World Food Programme 2023 <a href=\"#return-footnote-28-1\" class=\"return-footnote\" aria-label=\"Return to footnote 1\">&crarr;<\/a><\/li><li id=\"footnote-28-2\">World Food Programme 2017 <a href=\"#return-footnote-28-2\" class=\"return-footnote\" aria-label=\"Return to footnote 2\">&crarr;<\/a><\/li><li id=\"footnote-28-3\">El-Kogali and Krafft 2015 <a href=\"#return-footnote-28-3\" class=\"return-footnote\" aria-label=\"Return to footnote 3\">&crarr;<\/a><\/li><li id=\"footnote-28-4\">Dewey and Begum 2011 <a href=\"#return-footnote-28-4\" class=\"return-footnote\" aria-label=\"Return to footnote 4\">&crarr;<\/a><\/li><li id=\"footnote-28-5\">Moyer et al. 2019 <a href=\"#return-footnote-28-5\" class=\"return-footnote\" aria-label=\"Return to footnote 5\">&crarr;<\/a><\/li><li id=\"footnote-28-6\">As of 2021. Coleman-Jensen et al. 2022 <a href=\"#return-footnote-28-6\" class=\"return-footnote\" aria-label=\"Return to footnote 6\">&crarr;<\/a><\/li><li id=\"footnote-28-7\">As of 2021. Coleman-Jensen et al. 2022 <a href=\"#return-footnote-28-7\" class=\"return-footnote\" aria-label=\"Return to footnote 7\">&crarr;<\/a><\/li><li id=\"footnote-28-8\">Cotti, Gordanier, and Ozturk 2018 <a href=\"#return-footnote-28-8\" class=\"return-footnote\" aria-label=\"Return to footnote 8\">&crarr;<\/a><\/li><li id=\"footnote-28-9\">Hoddinott et al. 2008 <a href=\"#return-footnote-28-9\" class=\"return-footnote\" aria-label=\"Return to footnote 9\">&crarr;<\/a><\/li><li id=\"footnote-28-10\">Alene et al. 2009 <a href=\"#return-footnote-28-10\" class=\"return-footnote\" aria-label=\"Return to footnote 10\">&crarr;<\/a><\/li><li id=\"footnote-28-11\">Shrestha and Gopalakrishnan 1993 <a href=\"#return-footnote-28-11\" class=\"return-footnote\" aria-label=\"Return to footnote 11\">&crarr;<\/a><\/li><li id=\"footnote-28-12\">Suri 2011 <a href=\"#return-footnote-28-12\" class=\"return-footnote\" aria-label=\"Return to footnote 12\">&crarr;<\/a><\/li><li id=\"footnote-28-13\">Foster and Rosenzweig 1996 <a href=\"#return-footnote-28-13\" class=\"return-footnote\" aria-label=\"Return to footnote 13\">&crarr;<\/a><\/li><li id=\"footnote-28-14\">Dion et al. 2015; R\u00f8nsen 2004 <a href=\"#return-footnote-28-14\" class=\"return-footnote\" aria-label=\"Return to footnote 14\">&crarr;<\/a><\/li><li id=\"footnote-28-15\">Krafft 2018 <a href=\"#return-footnote-28-15\" class=\"return-footnote\" aria-label=\"Return to footnote 15\">&crarr;<\/a><\/li><li id=\"footnote-28-16\">Jacoby 2000 <a href=\"#return-footnote-28-16\" class=\"return-footnote\" aria-label=\"Return to footnote 16\">&crarr;<\/a><\/li><li id=\"footnote-28-17\">World Bank 2007 <a href=\"#return-footnote-28-17\" class=\"return-footnote\" aria-label=\"Return to footnote 17\">&crarr;<\/a><\/li><li id=\"footnote-28-18\">University of Minnesota 2018 <a href=\"#return-footnote-28-18\" class=\"return-footnote\" aria-label=\"Return to footnote 18\">&crarr;<\/a><\/li><li id=\"footnote-28-19\">Hanna, Duflo, and Greenstone 2016 <a href=\"#return-footnote-28-19\" class=\"return-footnote\" aria-label=\"Return to footnote 19\">&crarr;<\/a><\/li><li id=\"footnote-28-20\">Bold et al. 2017 <a href=\"#return-footnote-28-20\" class=\"return-footnote\" aria-label=\"Return to footnote 20\">&crarr;<\/a><\/li><li id=\"footnote-28-21\">Gilbert et al. 2010 <a href=\"#return-footnote-28-21\" class=\"return-footnote\" aria-label=\"Return to footnote 21\">&crarr;<\/a><\/li><li id=\"footnote-28-22\">Udry 1996 <a href=\"#return-footnote-28-22\" class=\"return-footnote\" aria-label=\"Return to footnote 22\">&crarr;<\/a><\/li><li id=\"footnote-28-23\">Johnson and Kovzik 2016 <a href=\"#return-footnote-28-23\" class=\"return-footnote\" aria-label=\"Return to footnote 23\">&crarr;<\/a><\/li><li id=\"footnote-28-24\">Yining 2012 <a href=\"#return-footnote-28-24\" class=\"return-footnote\" aria-label=\"Return to footnote 24\">&crarr;<\/a><\/li><li id=\"footnote-28-25\">Peng 1987 <a href=\"#return-footnote-28-25\" class=\"return-footnote\" aria-label=\"Return to footnote 25\">&crarr;<\/a><\/li><li id=\"footnote-28-26\">Birdsall, Ross, and Sabot 1995; Center for Global Development 2017 <a href=\"#return-footnote-28-26\" class=\"return-footnote\" aria-label=\"Return to footnote 26\">&crarr;<\/a><\/li><li id=\"footnote-28-27\">Jacoby, Li, and Rozelle 2002 <a href=\"#return-footnote-28-27\" class=\"return-footnote\" aria-label=\"Return to footnote 27\">&crarr;<\/a><\/li><li id=\"footnote-28-28\">Temple and Reynolds 2007 <a href=\"#return-footnote-28-28\" class=\"return-footnote\" aria-label=\"Return to footnote 28\">&crarr;<\/a><\/li><li id=\"footnote-28-29\">Checchi and van de Werfhorst 2014 <a href=\"#return-footnote-28-29\" class=\"return-footnote\" aria-label=\"Return to footnote 29\">&crarr;<\/a><\/li><li id=\"footnote-28-30\">Drange and Havnes 2015 <a href=\"#return-footnote-28-30\" class=\"return-footnote\" aria-label=\"Return to footnote 30\">&crarr;<\/a><\/li><li id=\"footnote-28-31\">World Bank 2022 <a href=\"#return-footnote-28-31\" class=\"return-footnote\" aria-label=\"Return to footnote 31\">&crarr;<\/a><\/li><li id=\"footnote-28-32\">Moyer et al. 2019 <a href=\"#return-footnote-28-32\" class=\"return-footnote\" aria-label=\"Return to footnote 32\">&crarr;<\/a><\/li><li id=\"footnote-28-33\">World Bank 2022 <a href=\"#return-footnote-28-33\" class=\"return-footnote\" aria-label=\"Return to footnote 33\">&crarr;<\/a><\/li><li id=\"footnote-28-34\">World Bank 2023 <a href=\"#return-footnote-28-34\" class=\"return-footnote\" aria-label=\"Return to footnote 34\">&crarr;<\/a><\/li><li id=\"footnote-28-35\">Hasell et al. 2023 <a href=\"#return-footnote-28-35\" class=\"return-footnote\" aria-label=\"Return to footnote 35\">&crarr;<\/a><\/li><li id=\"footnote-28-36\">Roser and Ortiz-Ospina 2013 <a href=\"#return-footnote-28-36\" class=\"return-footnote\" aria-label=\"Return to footnote 36\">&crarr;<\/a><\/li><li id=\"footnote-28-37\">Gilbert et al. 2010 <a href=\"#return-footnote-28-37\" class=\"return-footnote\" aria-label=\"Return to footnote 37\">&crarr;<\/a><\/li><li id=\"footnote-28-38\">Sala-i-Martin, Doppelhofer, and Miller 2004 <a href=\"#return-footnote-28-38\" class=\"return-footnote\" aria-label=\"Return to footnote 38\">&crarr;<\/a><\/li><li id=\"footnote-28-39\">World Food Programme 2023 <a href=\"#return-footnote-28-39\" class=\"return-footnote\" aria-label=\"Return to footnote 39\">&crarr;<\/a><\/li><\/ol><\/div>","protected":false},"author":32,"menu_order":13,"template":"","meta":{"pb_show_title":"on","pb_short_title":"Production","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[47],"contributor":[],"license":[],"class_list":["post-28","chapter","type-chapter","status-publish","hentry","chapter-type-standard"],"part":102,"_links":{"self":[{"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/pressbooks\/v2\/chapters\/28","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/wp\/v2\/users\/32"}],"version-history":[{"count":3,"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/pressbooks\/v2\/chapters\/28\/revisions"}],"predecessor-version":[{"id":1397,"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/pressbooks\/v2\/chapters\/28\/revisions\/1397"}],"part":[{"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/pressbooks\/v2\/parts\/102"}],"metadata":[{"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/pressbooks\/v2\/chapters\/28\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/wp\/v2\/media?parent=28"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/pressbooks\/v2\/chapter-type?post=28"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/wp\/v2\/contributor?post=28"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.ccconline.org\/accbertelsen\/wp-json\/wp\/v2\/license?post=28"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}