Suppose you were blindfolded and airlifted abroad. After you arrive in a small town and remove the blindfold, your job is to determine the income level of the place based only on sixty seconds of observation. What would you look for? If you have travelled or lived in a developing country, you might have a head start on this assignment: Is it hot and humid? What are people wearing? Eating? How are people getting around? What do the streets and buildings look like? Do the animals look pampered? Do you see trash or trash cans? And the smells! Most people, when exposed to living standards far below their own, want to help in some way. Economists (yes, even economists!) feel this impulse and wonder: Why are some places rich and others poor? What can be done to reduce poverty and encourage economic growth? In this chapter, we introduce development economics and describe the emergence and evolution of this field.
ESSENTIALS
Description of development economics
Evolution of development economics
Import substitution and export promotion
Market failures
Inseparability of efficiency and equity
Millennium Development Goals
Malawi is one of the poorest countries in the world. The average person living there had an annual income of $330 in 2010. That is not even a dollar a day. Even when we adjust for a low cost of living, the average Malawian lived off what in the United States would be the equivalent of around $850 per year. What is the solution to Malawi’s pervasive poverty?
Like other least-developed countries (LDCs), Malawi has tried a number of different strategies to stimulate development and raise the welfare of its people. It made the growth of smallholder production a cornerstone of its development and poverty-alleviation strategy by focusing on improving smallholders’ access to agricultural input and output markets. Eighty-one percent of Malawi’s population is rural, and smallholders make up about 90% of the poor. Food production is a major source of livelihood for most rural households. Productivity and, in particular, fertilizer use are low. Only 67% of agricultural households used fertilizer in 2004.
Before 1998, Malawi relied on market price supports to transfer income to farm households. (Next door in Zambia, where per capita income was $1,400 in 2010, the government continues to pay farmers prices well above market levels for their maize.)4 In recent years, fertilizer subsidies were the primary method of transferring income to rural Malawi households. Paying for farmers’ inputs is expensive and controversial. More than 50% of the Ministry of Agriculture’s budget has gone toward paying for input subsidies.
Most recently, the country has taken a new line of attack by introducing a social cash transfer (SCT) scheme that targets ultra-poor households (those living on less than $0.10 per day) whose members are unable to work due to disability, age, illness, or a high dependency ratio (too many people to take care of at home). Rather than specifically targeting agricultural production, like the price supports or fertilizer subsidies, cash transfers raise incomes directly, allowing households to increase consumption or to invest in production activities. The government and researchers hope these transfers will stimulate production in other ways while creating positive spill overs that benefit other
Field research to test the effectiveness of SCT programs is ongoing. SCT programs are being implemented throughout the continent, in Ethiopia, Ghana, Kenya, Zambia, Zimbabwe, Lesotho, and other poor countries. The
United Nations Children’s Fund (UNICEF) and the UN’s Food and Agricultural Organization (FAO), in conjunction with several universities and agencies, have launched an ambitious project to document the impacts of these transfer programs on a range of outcomes, from crop production to HIV/AIDS prevention.6 Development economists are on the front line of this effort, helping to design and evaluate SCT programs. On a micro level, this is a good example of the sorts of things development economists do.
1.1 WHAT IS DEVELOPMENT ECONOMICS?
Usually, a development economics class is a potpourri of special topics. It’s hard for it not to be, because economic development involves so many different things:
It’s income growth (how can we have development without growth in countries whose per capita incomes now hover around $1–$2 per day?).
It’s welfare economics, including the study of poverty and inequality.
It’s agricultural economics. How to make agriculture more productive is a big question in countries where most of the population—particularly the poor population—is rural and agricultural.
It’s economic demography, the study of population growth in a world with more than 7 billion people, and population distribution in a world with more than a quarter of a billion international migrants and many more internal ones. (China will have about that many internal migrants in the near future, if it doesn’t already.)
Its labour economics: education, health, conditions in the workplace.
It’s the study of markets for goods, services, inputs, outputs, credit, and insurance, without which whole economies can grind to a standstill.
Its public economics, including the provision of public goods from roads and communications to utilities and waste treatment, and it’s about managing the macro economy, too.
It’s about natural resources and the environment: energy, water, deforestation, pollution, climate change, sustainability.
What is economic development not about, you might ask? Lurking behind this question is another one, which lies at the heart of why we wrote this book: Why is there even a field of development economics? After all, most economics departments have courses in each one of the above areas—and more. Development economics seeks to understand the economic aspects of the development process in low-income countries. This implies that there must be something different about studying economics in low-income countries. Clearly there is. Economic development entails far-reaching changes in the structure of economies, technologies, societies, and political systems. Development economics is the study of economies that do not fit many of the basic assumptions underpinning economic analysis in high-income countries, including well-functioning markets, perfect information, and low transaction costs. When these assumptions break down, so do the most basic welfare and policy conclusions of economics. This book, like other development economics texts, touches on many different topics. However, its focus is on the fundamental things that distinguish rich and poor countries and the methods we use to analyse critical development economic issues. After reading and studying it, you’ll be familiar with the basic tool kit development economists use to do research, begin to understand what makes rich and poor countries different, and have an appreciation for the theory and practice of development economics.
1.2 THE EVOLUTION OF DEVELOPMENT ECONOMICS
Economics classes rarely spend much time on history. But the brief history of development economics is instructive. Appreciating how economists have come to understand economic development helps us understand the various development approaches people have taken over time and how we got to the ideas that are popular now. What economists thought development meant at the beginnings of our field’s history is quite different from the way we see it today. The origins of modern development economics are not found in low-income countries, but rather in relatively developed countries devastated by war.7 In the aftermath of World War II, there was a need for economic theories and policies to support the rebuilding of war-torn Europe and Japan. The United States adopted the Marshall Plan to help rebuild European economies. This was a massive program: $13 billion over four years was a lot of money back then! In the wake of the success of the Marshall Plan, economists shifted their attention in the 1950s and 1960s from Europe to the economic
Problems of Africa, Asia, and Latin America. Lessons learned in Europe did not transfer easily to those settings; it quickly became clear that poor countries faced fundamentally different challenges.
Early development economists focused on income growth, often blurring the lines between growth and development. In poor countries, major structural transformations were needed to achieve growth. By comparing different countries’ growth experiences (including the past experiences of the more developed countries), economists tried to uncover the conditions that determine successful development and economic growth.
1.2.1 Taking Off
Seminal work during this early period of development economics includes Walter Rostow’s treatise on the stages of economic growth: the traditional society, the preconditions for take-off, the take-off, the drive to maturity, and the age of high mass consumption. Nobel laureate Simon Kuznets (whom we shall revisit later in this chapter) countered this simplistic view that all countries go through a similar linear set of stages in their economic history. He argued instead that key characteristics of today’s poor countries are fundamentally different from those of high-income countries before they developed. The Anatomy of Growth Economists recognized the need to understand how the growth process works. Growth is important enough to get its own chapter in this book. There, we’ll focus on modern theory, but growth models have played an important role since the start of development economics.
A simple aggregate growth model developed by Sir Roy F. Harrod and Evsey Domar became part of the basic creed of development economists in the 1950s and 1960s. The Harrod-Domar model’s main implication was that investment is the key driver of economic growth. It focused economists’ and policy makers’ attention on generating the savings required to support higher growth rates in poor countries. Although simplistic, this was a precursor to models used to analyse economic growth in developing countries today. Nobel laureate W. Arthur Lewis viewed growth through a higher resolution lens. His famed work, “Economic Development with Unlimited
Supplies of Labour,” shifted attention from aggregate growth to structural transformation. Lewis introduced the dual-sector model, demonstrating that the expansion of the modern (industrial or capitalist) sector depends on drawing labour from the traditional (agricultural or subsistence) sector. He focused on poor, labour-rich countries, in which a labour surplus in the subsistence sector could be a valuable resource for industrial growth: industry could expand without putting upward pressure on wages. Implicit in the Lewis model is a simple, demand-driven model of migration: as urban industry expands, people move off the farm to fill the new jobs. Whether or not workers really can be moved out of agriculture without losing crop production is an empirical question that some economists still try to answer today.
Lewis was criticized for largely ignoring agriculture. His work was extended and formalized by Gustav Ranis and John Fei, who demonstrated that industrial growth depends on agricultural growth as well as industrial profits. If agricultural production does not keep up, food prices rise, and this forces urban wages up, squeezing profits and investment in industry. The growth of industry, then, depends on agriculture in a way that is easy to miss. Recognition that different sectors of the economy are linked in critical ways was an important contribution of dual-economy models and is a basis for more sophisticated economy wide models today.
The assumption that there is surplus labour in the traditional sector (i.e., that the marginal product of labour there is zero) was questioned by another Nobel laureate, Theodore Schultz. He pointed out evidence of labour shortages during peak harvest periods even in economies like India and China, where a labour surplus existed at other times of the year. Thus, he argued, one cannot assume that countries can move labours out of agriculture without suffering a drop in crop production—unless they adopt new agricultural technologies. Schultz emphasized the importance of technological innovation and revolutionized economists’ thinking by putting forth the thesis that farmers in LDCs are “efficient but poor.” That is, while they might appear to be inefficient (compared, say, to commercial farmers in rich countries), poor farmers actually optimize given the severe resource constraints they face, including traditional technologies and limited human capital. The efficient-but-poor hypothesis continues to shape the way development economists think about and model poor rural economies, Nevertheless, recent work questions whether production, land tenancy (e.g., sharecropping), and other institutions in poor countries really are efficient in an economic sense. The burgeoning early development economics literature produced far too many works to catalogue here, but two others deserve special mention because of the far-reaching impact they had on economic thinking and, more importantly, policies.
1.2.2 Import-Substitution Industrialization
In 1950, Raúl Prebisch and Hans Singer independently observed that the terms of trade, or the ratio of prices, between primary (agricultural, resource extraction) and manufactured products erodes over time. As people’s income increases, the share of income they spend on manufactures increases, while the share spent on primary goods falls. This happens globally as well as locally. Prebisch and Singer argued that this drives up the prices of manufactured goods relative to primary goods. Poor countries that continue to specialize in primary-goods production lose out compared to countries that protect and promote their industries. The way Prebisch and Singer saw it, sticking with primary-goods production is like investing in a waning industry—the opposite of what good investors do.
Prebisch and Singer’s work was enormously influential in promoting protectionist trade policies, shielding infant industries in poor countries from international competition. Its policy prescriptions ran soundly against the doctrine that countries should follow their comparative advantage in trade. In retrospect, countries that followed this advice did not fare as well as countries like the “Asian Tigers” (Hong Kong, Singapore, South Korea, and Taiwan), which followed more outward (trade)-oriented development models, (“International Trade and Globalization”).
1.2.3 Linkages
Albert Hirschman, another early pioneer in development economics, put forth the interesting and influential argument that imbalances between demand and supply in LDC economies can be good: they create pressures that stimulate economic growth. Hirschman was instrumental in creating a focus on economic linkages, which pervade economy-wide modelling, a staple of development policy analysis today as well as of some recent project impact evaluation models promoting investments in industries with many linkages to other firms, governments can have a multiplier effect on economic growth; the effects of a policy spread to industries linked to the targeted industry. Backward linkages transmit growth effects from an input-demanding activity (e.g., textiles) to input suppliers (cotton mills or wool producers). Forward linkages stimulate the growth of activities ahead of firms, as when investment in an electricity generator facilitates the growth of electricity-using industries.
Hirschman argued that agriculture generated few linkages with the rest of the economy. This, particularly when combined with the Prebisch-Singer hypothesis, contributed to the sense among policy makers that agriculture is unimportant and countries ought to use their scarce resources to promote industrial, not agricultural, growth. John Mellor countered this argument in his seminal work, The New Economics of Growth, which documented the importance of consumption linkages between rural households and urban industries. If most of a country’s population is rural, where will the demand for new industrial production be if not in rural households? Rising agricultural incomes, then, provide a critical market for manufactures, thereby stimulating industrial growth. Development economists had begun to take more of a systems view of poor economies, recognizing the linkages among production sectors and between firms and households that are important in shaping economic growth. They would soon rethink their emphasis on growth, though.
1.2.4 Rethinking Growth: Inequality and Poverty
The United Nations declared the 1960s to be the decade of development. In 1961, it “called on all member states to intensify their efforts to mobilize support for measures required to accelerate progress toward self-sustaining economic growth and social advancement in the developing countries.” Each developing country set its own target, but the overall goal was to achieve a minimum annual growth rate of 5% in aggregate national income by the end of the decade. The world came close to realizing the UN’s goal. LDCs achieved an average annual growth rate of 4.6% from 1960 to 1967. However, their population also increased. As a result, their per capita gross product (income divided by population) rose only about 2%. When the UN Development Decade ended in 1970, the gap between rich and poor countries had widened: two-thirds of the world’s population had less than one-sixth of the world’s income. This raised new questions about the meaning of development. Evidently, a tide of rising world income did not lift all—or even most—boats. The UN General Assembly concluded that one of the reasons for the slow progress was the absence of a clear international development strategy.
The problem of rising inequality made development economists rethink their focus on growth. Before then, the key work linking growth and inequality was Simon Kuznets’s “inverted U” hypothesis. It stated that economic growth decreases inequality in rich countries but increases it in poor countries. It tended to create a sense of complacency about inequality: sure, inequality increases for a while as poor countries grow, but eventually countries “outgrow” it and become more equal. At least, that’s what Kuznets saw when he used cross-section data to compare rich and poor countries. (Cross-section data are data on different countries at the same point in time. It would have been nice to track the same countries over time to see if inequality first increases then decreases as economies grow, but we didn’t have the data to do that back when Kuznets put forth his novel theory.)
As panel data have became available to track individual countries’ growth and inequality, the inverted-U theory has been challenged repeatedly in the development economics literature, though it seems to fit some countries well. (Panel data provide information on the same units [here, countries] over time.) Today, China is growing fast, and inequality there is increasing. Brazil and Mexico have much higher per capita incomes than China, and inequality there is going down. Then there’s the United States, where inequality fell through the 1970s but is rising again now.
Development economics shifted its attention from income growth to income inequality). In 1974, Hollis Cheery, head of the World Bank’s economic research department, and colleagues published an influential book called Redistribution with Growth. It demonstrated that when assets (such as land) are distributed unequally, economic growth creates an unequal distribution of benefits. Around the same time (1973), Irma Adelman and Cynthia Taft Morris published a book called Economic Growth and Social Equity in Developing Countries. They found that as incomes grew, not only did inequality increase, but the absolute position of the poor worsened. At the early stages of a country’s economic growth, the poorest segment of society may be harmed, as traditional economic relationships in subsistence economies are displaced by emerging commercial ones. Growth was more equitable in countries that redistributed assets, like land and human capital (education), before the growth happened.
Robert McNamara, the World Bank’s president, presented Cheney’s findings at a 1972 UN conference in Santiago, Chile. This staked out a new position for the World Bank and development economics profession more broadly that growth alone is not enough. McNamara and many development economists recommended redistribution before growth; for example, land reforms and other measures to raise the productivity of small farmers and widespread rural education programs. The development economics mantra had shifted from income growth to poverty and inequality. The work of Amartya Sen expanded the scope of economic development yet further to include dimensions of human development such as health, nutrition, education, and even freedom.
National planning offices cropped around the world, often with “five-year plans” inspired by the Soviet Union’s planning models but not necessarily socialistic in nature. (While Ed was an undergraduate student he worked for a year with the National Planning Office in Costa Rica, which had five-year plans but was hardly a communist state!) This period saw the advent of economy-wide models as a tool for development planning and policy. These models were designed to simulate the complex impacts that policies have on whole economies as well as on particular social groups. They continue to be a staple of development economics research and policy design and are often at the crossfire of a lively debate about the role of planning and markets in economic development.
The 1970s marked the beginning of what has become an ongoing friction between direct government involvement in the development process and market-led development—a tension we will address throughout this book because it stems from essential ideas in development economics. The traditional neoclassical economic view, inspired by Adam Smith’s “invisible hand,” is that individuals and firms, in the pursuit of their self-interest, are led as if by an invisible hand to economic efficiency. For example, competition among profit-maximizing firms drives down prices for selfish, utility-maximizing consumers. However, the invisible hand does not typically lead to fair outcomes, so government intervention can often play a role in promoting social objectives other than efficiency, such as equality or protection of domestic industries.
The 1960s and 1970s witnessed increasing government involvement in markets: setting prices, controlling trade, and creating “parastatal” enterprises that did everything from buying and selling crops to drilling for oil. Much of the focus of these efforts was on stimulating industrial growth; however, most of the population in poor countries—especially the very poor—depended heavily on agriculture. In many countries, import-substitution industrialization policies created severe biases against agriculture, in three ways:
“Cheap food policies” directly harmed agriculture while helping to keep urban wages low.
Steep tariffs and quotas on imported industrial goods and direct subsidies were used to promote industrialization. This increased the profitability of industrial compared to agricultural production
Macroeconomic policies like overvalued exchange rates made imported industrial inputs and technologies (as well as food) cheaper. This created yet another bias against agriculture by making traded goods (food) less profitable than nontraded goods (manufactures, which were protected from trade competition).
1.2.5 Trusting Markets
The 1980s saw the beginning of a backlash against too much state involvement in the economy. This was the era of Ronald Reagan and Margaret Thatcher, in which we recognized the inefficiencies of state planned economic systems such as those in the Soviet Union and China compared with the more laissez-faire political systems in the west. Meanwhile, it became clear that the countries that were experiencing the most rapid and broad-based growth were not the inward-oriented countries following import-substitution industrialization, like Kenya, Mexico, and Brazil. Instead, they were the outward export-oriented economies, particularly the Asian Tigers. In those countries, governments were involved, sometimes heavily, in the economy, but opening up to market competition made it possible to become competitive on a world scale.
Another part of the impetus for shifting away from state involvement and toward markets came in the 1970s and 1980s as the world economy went into recession with soaring oil prices. This sparked debt crises in many LDCs (particularly in Latin America), forcing them to rethink their development policies—often as part of “structural adjustment” programs required by the International Monetary Fund (IMF) as a condition for restructuring their debt. These adjustments invariably reduced the direct involvement of the state in the troubled economies
The World Bank’s 1984 World Development Report endorsed many of these dominant promarket positions. It called for removing distortions created by governments’ over involvement in agricultural markets. Almost overnight, governments began to withdraw from markets, dismantling import-substitution industrialization policies and opening up to trade. Less-developed countries around the world entered into free trade agreements.
1.2.6 Not (Quite) Trusting Markets
The market liberalization movement continued into the 1990s; however, the enthusiasm for free trade became tempered by a realization that market liberalization does not necessarily improve people’s economic welfare if markets do not work properly. This produced a surge of research documenting market failures in LDCs as well as their underlying causes.
Broadly speaking, a free market fails if it does not work efficiently— that is, if there is another scenario in which a market participant could be made better off without making others worse off. Often, markets fail so miserably that they do not exist at all for many people. Most poor people do not have access to credit, most farmers in Africa do not sell their crops, and almost nobody in poor countries has access to formal insurance.
Joseph Stiglitz, who received the 2001 Nobel Prize in economics, along with other economists, demonstrated that markets are rarely efficient. He attributed this largely to imperfect information, which creates high transaction costs that lead to widespread market failures, particularly in poor countries. Since understanding market failures is fundamental to development economics, we will learn about several sources of market failures in this book.
When markets do not work well, government involvement in the economy can often improve welfare. Development economists have been careful to warn that market failures do not necessarily warrant broad state intervention in the economy: government failures can be worse than market failures. However, the scope for the state to improve welfare by intervening in markets, it seems, is much larger than previously thought.
1.2.7 The Experimental Revolution
Today, much of the focus of development economics has shifted to the micro-level and to project evaluation. Increasingly, development economics research involves using experiments to learn about people’s economic behaviour and evaluate the impacts of policy interventions on welfare outcomes. When experiments are not possible, economists use other methods, including econometrics and simulation modelling, to try to identify the impacts of policies and programs. The social cash transfer programs mentioned at the start of this chapter are an example. Today, if you work for a nongovernmental organization (NGO), an international development agency, or even an LDC government, there is a good chance you’ll be dealing with experimental economics. Experiments have become such an important part of development economics that we devote an entire chapter to them in this book.
1.3 WHAT IS ECONOMIC DEVELOPMENT, THEN?
Economic development has different meanings in different contexts. In rich countries, it is pretty much equated with growth. Picture the urban developer who makes skyscrapers sprout from vacant lots in a blighted city core. Politically, development projects in high-income countries often are motivated by some of the same goals that inspire development projects in poor countries, particularly the creation of new jobs, incomes, and tax revenues. Their ultimate aim, however, is likely to be growth.
Most development economists today would say that economic development is not equivalent to growth, although it is difficult to achieve development goals without growth. Development projects around the world focus on concrete outcomes related to poverty, malnutrition, inequality, and health. Development is about satisfying basic physical needs like nutrition, shelter, and clothing, and about the development of the mind (and of course people’s earnings potential) through education. Projects also focus on the environment, conservation, and sustainable resource use; on human rights, gender and ethnic equity, and even government corruption.
All of these questions can be vital not only to determining who reaps the benefits of economic growth, but also to understanding growth itself. Herein lies a fundamental difference in the way we tend to look at economics and politics in rich and poor countries. In high-income countries (not to mention our microeconomics courses), economic efficiency and equity tend to be viewed as separate questions. The efficient allocation of resources is critical to ensure that economies produce the biggest possible economic pie, given the constraints they face (i.e., limited resources and technologies). Efficiency is the primary focus of the vast majority of our economics classes.
What about equity? How the pie gets distributed is usually an afterthought in economics—something more in the domain of politics than economics. Think about the economics courses you’ve taken. The textbook view is that efficiency and equity are sequential, or recursive, problems: first grow the pie, then, once that’s done, think about how it gets distributed (or step back and let the market decide).
Clearly, there’s an important separability assumption here: that efficiency can be achieved regardless of how income is distributed. Is this a reasonable assumption? In a competitive market equilibrium, there will be different outcomes depending upon what the initial distribution of wealth looks like. But provided the basic assumptions of the competitive model (which you learned in your introductory economics courses) hold, all will be efficient in the Pareto sense: you cannot make anyone better off without making someone else worse off. If you ever studied an Edge worth box, you’ve seen how economists show this.
The separability of equity and efficiency was reinforced by the Nobel laureate Ronald Coase, who argued that bargaining will lead to an efficient outcome regardless of the initial allocation of property rights, even in the case of externalities (a cost or benefit not reflected in prices, like pollution). According to Coase, as long as we can costlessly negotiate it doesn’t matter whether you have the right to smoke or I have the right to breathe clean air. Once we have finished bargaining with each other, the amount of smoke in the air will be the same. This view has achieved the status of a theorem: Coase’s Theorem.
If efficiency and equity are truly separate issues, then there is not much room for economic policy, nor much reason for efficiency-minded economists to worry about equity. (Of course, even economists might worry about equity for other [i.e., humanitarian] reasons.)
If only things were that simple! Alas, negotiation is never costless (and often prohibitively expensive). For this and many other reasons, a great deal of development economists’ effort goes into discovering how equity and efficiency are intertwined, especially in poor countries. How assets are distributed clearly affects efficiency if the following conditions hold:
Banks are unwilling to loan money to small farmers.
Poor people cannot get insurance to protect themselves against crop loss or sickness.
Poverty and malnutrition prevent kids from growing up to become productive adults.
Access to markets for the stuff people produce, the inputs they use, and the goods they demand is different for the poor and rich.
The ability to get a job depends on who you are, not on how productive you are.
In these and many other cases, the separability of equity and efficiency breaks down. A person’s capacity to produce (or even consume) efficiently depends upon how wealth is distributed to start out with because the basic assumptions of competitive markets often don’t hold for the poorest members of society. A rich farmer can produce where the market price equals the marginal cost of producing a crop, the basic requirement for profit maximization and efficiency. But if a poor farmer lacks the cash to buy fertilizer, and no bank will lend to her, she will not be able to produce as efficiently as the large farmer. This implies that efficiency depends on how income is distributed to begin with, which is an important departure from standard assumptions in economics.
The conditions under which equity affects efficiency are many, and they permeate the economies and societies of poor countries. Development economics, more than anything else perhaps, is the study of economies in which equity and efficiency are closely interrelated. This opens up a whole realm of possibilities for policy and project interventions to increase economic efficiency as well as equity. More often than not, equity and efficiency are not only complementary; they are inseparable.
1.4 THE MILLENNIUM DEVELOPMENT GOALS (MDGS)
Eradicating extreme poverty continues to be one of the main challenges of our time, and is a major concern of the international community. Ending this scourge will require the combined efforts of all, governments, civil society organizations and the private sector, in the context of a stronger and more effective global partnership for development. The Millennium Development Goals set time bound targets, by which progress in reducing income poverty, hunger, disease, lack of adequate shelter and exclusion—while promoting gender equality, health, education and environmental sustainability—can be measured. They also embody basic human rights—the rights of each person on the planet to health, education, shelter and security. The Goals are ambitious but feasible and, together with the comprehensive United Nations development agenda, set the course for the world’s efforts to alleviate extreme poverty by 2015. (United Nations Secretary-General BAN Ki-moon).
In September 2000, 189 nations came together at United Nations Headquarters in New York and adopted the United Nations Millennium Declaration. In it, they committed to creating a new global partnership to reduce extreme poverty and achieve a set of specific development targets by 2015. These targets (see appendix at the end of this chapter), which range from health to environment to gender equality, have become known as the Millennium Development Goals (MDGs). Setting goals like these and monitoring our progress toward achieving them requires tremendous amounts of data, measurement methods, and above all, commitment.
If you attend almost any international development meeting, you almost certainly will hear the MDGs come up. The MDGs are often used by governments and international development agencies to motivate and justify specific development projects. They have galvanized efforts to meet the needs of people in the world’s poorest countries, but they are not without their detractors. There is ongoing debate among economists about whether this kind of formal, “technocratic” approach, in which scientists and experts are in control, is beneficial or harmful. It may help the poor by funnelling funds and expertise to areas of urgent need. However, it could do the opposite by imposing external power and plans that do not reflect local context.
What is Development Economics All About?
Suppose you were blindfolded and airlifted abroad. After you arrive in a small town and remove the blindfold, your job is to determine the income level of the place based only on sixty seconds of observation. What would you look for? If you have travelled or lived in a developing country, you might have a head start on this assignment: Is it hot and humid? What are people wearing? Eating? How are people getting around? What do the streets and buildings look like? Do the animals look pampered? Do you see trash or trash cans? And the smells! Most people, when exposed to living standards far below their own, want to help in some way. Economists (yes, even economists!) feel this impulse and wonder: Why are some places rich and others poor? What can be done to reduce poverty and encourage economic growth? In this chapter, we introduce development economics and describe the emergence and evolution of this field.
ESSENTIALS
Malawi is one of the poorest countries in the world. The average person living there had an annual income of $330 in 2010. That is not even a dollar a day. Even when we adjust for a low cost of living, the average Malawian lived off what in the United States would be the equivalent of around $850 per year. What is the solution to Malawi’s pervasive poverty?
Like other least-developed countries (LDCs), Malawi has tried a number of different strategies to stimulate development and raise the welfare of its people. It made the growth of smallholder production a cornerstone of its development and poverty-alleviation strategy by focusing on improving smallholders’ access to agricultural input and output markets. Eighty-one percent of Malawi’s population is rural, and smallholders make up about 90% of the poor. Food production is a major source of livelihood for most rural households. Productivity and, in particular, fertilizer use are low. Only 67% of agricultural households used fertilizer in 2004.
Before 1998, Malawi relied on market price supports to transfer income to farm households. (Next door in Zambia, where per capita income was $1,400 in 2010, the government continues to pay farmers prices well above market levels for their maize.)4 In recent years, fertilizer subsidies were the primary method of transferring income to rural Malawi households. Paying for farmers’ inputs is expensive and controversial. More than 50% of the Ministry of Agriculture’s budget has gone toward paying for input subsidies.
Most recently, the country has taken a new line of attack by introducing a social cash transfer (SCT) scheme that targets ultra-poor households (those living on less than $0.10 per day) whose members are unable to work due to disability, age, illness, or a high dependency ratio (too many people to take care of at home). Rather than specifically targeting agricultural production, like the price supports or fertilizer subsidies, cash transfers raise incomes directly, allowing households to increase consumption or to invest in production activities. The government and researchers hope these transfers will stimulate production in other ways while creating positive spill overs that benefit other
Field research to test the effectiveness of SCT programs is ongoing. SCT programs are being implemented throughout the continent, in Ethiopia, Ghana, Kenya, Zambia, Zimbabwe, Lesotho, and other poor countries. The
United Nations Children’s Fund (UNICEF) and the UN’s Food and Agricultural Organization (FAO), in conjunction with several universities and agencies, have launched an ambitious project to document the impacts of these transfer programs on a range of outcomes, from crop production to HIV/AIDS prevention.6 Development economists are on the front line of this effort, helping to design and evaluate SCT programs. On a micro level, this is a good example of the sorts of things development economists do.
1.1 WHAT IS DEVELOPMENT ECONOMICS?
Usually, a development economics class is a potpourri of special topics. It’s hard for it not to be, because economic development involves so many different things:
What is economic development not about, you might ask? Lurking behind this question is another one, which lies at the heart of why we wrote this book: Why is there even a field of development economics? After all, most economics departments have courses in each one of the above areas—and more. Development economics seeks to understand the economic aspects of the development process in low-income countries. This implies that there must be something different about studying economics in low-income countries. Clearly there is. Economic development entails far-reaching changes in the structure of economies, technologies, societies, and political systems. Development economics is the study of economies that do not fit many of the basic assumptions underpinning economic analysis in high-income countries, including well-functioning markets, perfect information, and low transaction costs. When these assumptions break down, so do the most basic welfare and policy conclusions of economics. This book, like other development economics texts, touches on many different topics. However, its focus is on the fundamental things that distinguish rich and poor countries and the methods we use to analyse critical development economic issues. After reading and studying it, you’ll be familiar with the basic tool kit development economists use to do research, begin to understand what makes rich and poor countries different, and have an appreciation for the theory and practice of development economics.
1.2 THE EVOLUTION OF DEVELOPMENT ECONOMICS
Economics classes rarely spend much time on history. But the brief history of development economics is instructive. Appreciating how economists have come to understand economic development helps us understand the various development approaches people have taken over time and how we got to the ideas that are popular now. What economists thought development meant at the beginnings of our field’s history is quite different from the way we see it today. The origins of modern development economics are not found in low-income countries, but rather in relatively developed countries devastated by war.7 In the aftermath of World War II, there was a need for economic theories and policies to support the rebuilding of war-torn Europe and Japan. The United States adopted the Marshall Plan to help rebuild European economies. This was a massive program: $13 billion over four years was a lot of money back then! In the wake of the success of the Marshall Plan, economists shifted their attention in the 1950s and 1960s from Europe to the economic
Problems of Africa, Asia, and Latin America. Lessons learned in Europe did not transfer easily to those settings; it quickly became clear that poor countries faced fundamentally different challenges.
Early development economists focused on income growth, often blurring the lines between growth and development. In poor countries, major structural transformations were needed to achieve growth. By comparing different countries’ growth experiences (including the past experiences of the more developed countries), economists tried to uncover the conditions that determine successful development and economic growth.
1.2.1 Taking Off
Seminal work during this early period of development economics includes Walter Rostow’s treatise on the stages of economic growth: the traditional society, the preconditions for take-off, the take-off, the drive to maturity, and the age of high mass consumption. Nobel laureate Simon Kuznets (whom we shall revisit later in this chapter) countered this simplistic view that all countries go through a similar linear set of stages in their economic history. He argued instead that key characteristics of today’s poor countries are fundamentally different from those of high-income countries before they developed. The Anatomy of Growth Economists recognized the need to understand how the growth process works. Growth is important enough to get its own chapter in this book. There, we’ll focus on modern theory, but growth models have played an important role since the start of development economics.
A simple aggregate growth model developed by Sir Roy F. Harrod and Evsey Domar became part of the basic creed of development economists in the 1950s and 1960s. The Harrod-Domar model’s main implication was that investment is the key driver of economic growth. It focused economists’ and policy makers’ attention on generating the savings required to support higher growth rates in poor countries. Although simplistic, this was a precursor to models used to analyse economic growth in developing countries today. Nobel laureate W. Arthur Lewis viewed growth through a higher resolution lens. His famed work, “Economic Development with Unlimited
Supplies of Labour,” shifted attention from aggregate growth to structural transformation. Lewis introduced the dual-sector model, demonstrating that the expansion of the modern (industrial or capitalist) sector depends on drawing labour from the traditional (agricultural or subsistence) sector. He focused on poor, labour-rich countries, in which a labour surplus in the subsistence sector could be a valuable resource for industrial growth: industry could expand without putting upward pressure on wages. Implicit in the Lewis model is a simple, demand-driven model of migration: as urban industry expands, people move off the farm to fill the new jobs. Whether or not workers really can be moved out of agriculture without losing crop production is an empirical question that some economists still try to answer today.
Lewis was criticized for largely ignoring agriculture. His work was extended and formalized by Gustav Ranis and John Fei, who demonstrated that industrial growth depends on agricultural growth as well as industrial profits. If agricultural production does not keep up, food prices rise, and this forces urban wages up, squeezing profits and investment in industry. The growth of industry, then, depends on agriculture in a way that is easy to miss. Recognition that different sectors of the economy are linked in critical ways was an important contribution of dual-economy models and is a basis for more sophisticated economy wide models today.
The assumption that there is surplus labour in the traditional sector (i.e., that the marginal product of labour there is zero) was questioned by another Nobel laureate, Theodore Schultz. He pointed out evidence of labour shortages during peak harvest periods even in economies like India and China, where a labour surplus existed at other times of the year. Thus, he argued, one cannot assume that countries can move labours out of agriculture without suffering a drop in crop production—unless they adopt new agricultural technologies. Schultz emphasized the importance of technological innovation and revolutionized economists’ thinking by putting forth the thesis that farmers in LDCs are “efficient but poor.” That is, while they might appear to be inefficient (compared, say, to commercial farmers in rich countries), poor farmers actually optimize given the severe resource constraints they face, including traditional technologies and limited human capital. The efficient-but-poor hypothesis continues to shape the way development economists think about and model poor rural economies, Nevertheless, recent work questions whether production, land tenancy (e.g., sharecropping), and other institutions in poor countries really are efficient in an economic sense. The burgeoning early development economics literature produced far too many works to catalogue here, but two others deserve special mention because of the far-reaching impact they had on economic thinking and, more importantly, policies.
1.2.2 Import-Substitution Industrialization
In 1950, Raúl Prebisch and Hans Singer independently observed that the terms of trade, or the ratio of prices, between primary (agricultural, resource extraction) and manufactured products erodes over time. As people’s income increases, the share of income they spend on manufactures increases, while the share spent on primary goods falls. This happens globally as well as locally. Prebisch and Singer argued that this drives up the prices of manufactured goods relative to primary goods. Poor countries that continue to specialize in primary-goods production lose out compared to countries that protect and promote their industries. The way Prebisch and Singer saw it, sticking with primary-goods production is like investing in a waning industry—the opposite of what good investors do.
Prebisch and Singer’s work was enormously influential in promoting protectionist trade policies, shielding infant industries in poor countries from international competition. Its policy prescriptions ran soundly against the doctrine that countries should follow their comparative advantage in trade. In retrospect, countries that followed this advice did not fare as well as countries like the “Asian Tigers” (Hong Kong, Singapore, South Korea, and Taiwan), which followed more outward (trade)-oriented development models, (“International Trade and Globalization”).
1.2.3 Linkages
Albert Hirschman, another early pioneer in development economics, put forth the interesting and influential argument that imbalances between demand and supply in LDC economies can be good: they create pressures that stimulate economic growth. Hirschman was instrumental in creating a focus on economic linkages, which pervade economy-wide modelling, a staple of development policy analysis today as well as of some recent project impact evaluation models promoting investments in industries with many linkages to other firms, governments can have a multiplier effect on economic growth; the effects of a policy spread to industries linked to the targeted industry. Backward linkages transmit growth effects from an input-demanding activity (e.g., textiles) to input suppliers (cotton mills or wool producers). Forward linkages stimulate the growth of activities ahead of firms, as when investment in an electricity generator facilitates the growth of electricity-using industries.
Hirschman argued that agriculture generated few linkages with the rest of the economy. This, particularly when combined with the Prebisch-Singer hypothesis, contributed to the sense among policy makers that agriculture is unimportant and countries ought to use their scarce resources to promote industrial, not agricultural, growth. John Mellor countered this argument in his seminal work, The New Economics of Growth, which documented the importance of consumption linkages between rural households and urban industries. If most of a country’s population is rural, where will the demand for new industrial production be if not in rural households? Rising agricultural incomes, then, provide a critical market for manufactures, thereby stimulating industrial growth. Development economists had begun to take more of a systems view of poor economies, recognizing the linkages among production sectors and between firms and households that are important in shaping economic growth. They would soon rethink their emphasis on growth, though.
1.2.4 Rethinking Growth: Inequality and Poverty
The United Nations declared the 1960s to be the decade of development. In 1961, it “called on all member states to intensify their efforts to mobilize support for measures required to accelerate progress toward self-sustaining economic growth and social advancement in the developing countries.” Each developing country set its own target, but the overall goal was to achieve a minimum annual growth rate of 5% in aggregate national income by the end of the decade. The world came close to realizing the UN’s goal. LDCs achieved an average annual growth rate of 4.6% from 1960 to 1967. However, their population also increased. As a result, their per capita gross product (income divided by population) rose only about 2%. When the UN Development Decade ended in 1970, the gap between rich and poor countries had widened: two-thirds of the world’s population had less than one-sixth of the world’s income. This raised new questions about the meaning of development. Evidently, a tide of rising world income did not lift all—or even most—boats. The UN General Assembly concluded that one of the reasons for the slow progress was the absence of a clear international development strategy.
The problem of rising inequality made development economists rethink their focus on growth. Before then, the key work linking growth and inequality was Simon Kuznets’s “inverted U” hypothesis. It stated that economic growth decreases inequality in rich countries but increases it in poor countries. It tended to create a sense of complacency about inequality: sure, inequality increases for a while as poor countries grow, but eventually countries “outgrow” it and become more equal. At least, that’s what Kuznets saw when he used cross-section data to compare rich and poor countries. (Cross-section data are data on different countries at the same point in time. It would have been nice to track the same countries over time to see if inequality first increases then decreases as economies grow, but we didn’t have the data to do that back when Kuznets put forth his novel theory.)
As panel data have became available to track individual countries’ growth and inequality, the inverted-U theory has been challenged repeatedly in the development economics literature, though it seems to fit some countries well. (Panel data provide information on the same units [here, countries] over time.) Today, China is growing fast, and inequality there is increasing. Brazil and Mexico have much higher per capita incomes than China, and inequality there is going down. Then there’s the United States, where inequality fell through the 1970s but is rising again now.
Development economics shifted its attention from income growth to income inequality). In 1974, Hollis Cheery, head of the World Bank’s economic research department, and colleagues published an influential book called Redistribution with Growth. It demonstrated that when assets (such as land) are distributed unequally, economic growth creates an unequal distribution of benefits. Around the same time (1973), Irma Adelman and Cynthia Taft Morris published a book called Economic Growth and Social Equity in Developing Countries. They found that as incomes grew, not only did inequality increase, but the absolute position of the poor worsened. At the early stages of a country’s economic growth, the poorest segment of society may be harmed, as traditional economic relationships in subsistence economies are displaced by emerging commercial ones. Growth was more equitable in countries that redistributed assets, like land and human capital (education), before the growth happened.
Robert McNamara, the World Bank’s president, presented Cheney’s findings at a 1972 UN conference in Santiago, Chile. This staked out a new position for the World Bank and development economics profession more broadly that growth alone is not enough. McNamara and many development economists recommended redistribution before growth; for example, land reforms and other measures to raise the productivity of small farmers and widespread rural education programs. The development economics mantra had shifted from income growth to poverty and inequality. The work of Amartya Sen expanded the scope of economic development yet further to include dimensions of human development such as health, nutrition, education, and even freedom.
National planning offices cropped around the world, often with “five-year plans” inspired by the Soviet Union’s planning models but not necessarily socialistic in nature. (While Ed was an undergraduate student he worked for a year with the National Planning Office in Costa Rica, which had five-year plans but was hardly a communist state!) This period saw the advent of economy-wide models as a tool for development planning and policy. These models were designed to simulate the complex impacts that policies have on whole economies as well as on particular social groups. They continue to be a staple of development economics research and policy design and are often at the crossfire of a lively debate about the role of planning and markets in economic development.
The 1970s marked the beginning of what has become an ongoing friction between direct government involvement in the development process and market-led development—a tension we will address throughout this book because it stems from essential ideas in development economics. The traditional neoclassical economic view, inspired by Adam Smith’s “invisible hand,” is that individuals and firms, in the pursuit of their self-interest, are led as if by an invisible hand to economic efficiency. For example, competition among profit-maximizing firms drives down prices for selfish, utility-maximizing consumers. However, the invisible hand does not typically lead to fair outcomes, so government intervention can often play a role in promoting social objectives other than efficiency, such as equality or protection of domestic industries.
The 1960s and 1970s witnessed increasing government involvement in markets: setting prices, controlling trade, and creating “parastatal” enterprises that did everything from buying and selling crops to drilling for oil. Much of the focus of these efforts was on stimulating industrial growth; however, most of the population in poor countries—especially the very poor—depended heavily on agriculture. In many countries, import-substitution industrialization policies created severe biases against agriculture, in three ways:
1.2.5 Trusting Markets
The 1980s saw the beginning of a backlash against too much state involvement in the economy. This was the era of Ronald Reagan and Margaret Thatcher, in which we recognized the inefficiencies of state planned economic systems such as those in the Soviet Union and China compared with the more laissez-faire political systems in the west. Meanwhile, it became clear that the countries that were experiencing the most rapid and broad-based growth were not the inward-oriented countries following import-substitution industrialization, like Kenya, Mexico, and Brazil. Instead, they were the outward export-oriented economies, particularly the Asian Tigers. In those countries, governments were involved, sometimes heavily, in the economy, but opening up to market competition made it possible to become competitive on a world scale.
Another part of the impetus for shifting away from state involvement and toward markets came in the 1970s and 1980s as the world economy went into recession with soaring oil prices. This sparked debt crises in many LDCs (particularly in Latin America), forcing them to rethink their development policies—often as part of “structural adjustment” programs required by the International Monetary Fund (IMF) as a condition for restructuring their debt. These adjustments invariably reduced the direct involvement of the state in the troubled economies
The World Bank’s 1984 World Development Report endorsed many of these dominant promarket positions. It called for removing distortions created by governments’ over involvement in agricultural markets. Almost overnight, governments began to withdraw from markets, dismantling import-substitution industrialization policies and opening up to trade. Less-developed countries around the world entered into free trade agreements.
1.2.6 Not (Quite) Trusting Markets
The market liberalization movement continued into the 1990s; however, the enthusiasm for free trade became tempered by a realization that market liberalization does not necessarily improve people’s economic welfare if markets do not work properly. This produced a surge of research documenting market failures in LDCs as well as their underlying causes.
Broadly speaking, a free market fails if it does not work efficiently— that is, if there is another scenario in which a market participant could be made better off without making others worse off. Often, markets fail so miserably that they do not exist at all for many people. Most poor people do not have access to credit, most farmers in Africa do not sell their crops, and almost nobody in poor countries has access to formal insurance.
Joseph Stiglitz, who received the 2001 Nobel Prize in economics, along with other economists, demonstrated that markets are rarely efficient. He attributed this largely to imperfect information, which creates high transaction costs that lead to widespread market failures, particularly in poor countries. Since understanding market failures is fundamental to development economics, we will learn about several sources of market failures in this book.
When markets do not work well, government involvement in the economy can often improve welfare. Development economists have been careful to warn that market failures do not necessarily warrant broad state intervention in the economy: government failures can be worse than market failures. However, the scope for the state to improve welfare by intervening in markets, it seems, is much larger than previously thought.
1.2.7 The Experimental Revolution
Today, much of the focus of development economics has shifted to the micro-level and to project evaluation. Increasingly, development economics research involves using experiments to learn about people’s economic behaviour and evaluate the impacts of policy interventions on welfare outcomes. When experiments are not possible, economists use other methods, including econometrics and simulation modelling, to try to identify the impacts of policies and programs. The social cash transfer programs mentioned at the start of this chapter are an example. Today, if you work for a nongovernmental organization (NGO), an international development agency, or even an LDC government, there is a good chance you’ll be dealing with experimental economics. Experiments have become such an important part of development economics that we devote an entire chapter to them in this book.
1.3 WHAT IS ECONOMIC DEVELOPMENT, THEN?
Economic development has different meanings in different contexts. In rich countries, it is pretty much equated with growth. Picture the urban developer who makes skyscrapers sprout from vacant lots in a blighted city core. Politically, development projects in high-income countries often are motivated by some of the same goals that inspire development projects in poor countries, particularly the creation of new jobs, incomes, and tax revenues. Their ultimate aim, however, is likely to be growth.
Most development economists today would say that economic development is not equivalent to growth, although it is difficult to achieve development goals without growth. Development projects around the world focus on concrete outcomes related to poverty, malnutrition, inequality, and health. Development is about satisfying basic physical needs like nutrition, shelter, and clothing, and about the development of the mind (and of course people’s earnings potential) through education. Projects also focus on the environment, conservation, and sustainable resource use; on human rights, gender and ethnic equity, and even government corruption.
All of these questions can be vital not only to determining who reaps the benefits of economic growth, but also to understanding growth itself. Herein lies a fundamental difference in the way we tend to look at economics and politics in rich and poor countries. In high-income countries (not to mention our microeconomics courses), economic efficiency and equity tend to be viewed as separate questions. The efficient allocation of resources is critical to ensure that economies produce the biggest possible economic pie, given the constraints they face (i.e., limited resources and technologies). Efficiency is the primary focus of the vast majority of our economics classes.
What about equity? How the pie gets distributed is usually an afterthought in economics—something more in the domain of politics than economics. Think about the economics courses you’ve taken. The textbook view is that efficiency and equity are sequential, or recursive, problems: first grow the pie, then, once that’s done, think about how it gets distributed (or step back and let the market decide).
Clearly, there’s an important separability assumption here: that efficiency can be achieved regardless of how income is distributed. Is this a reasonable assumption? In a competitive market equilibrium, there will be different outcomes depending upon what the initial distribution of wealth looks like. But provided the basic assumptions of the competitive model (which you learned in your introductory economics courses) hold, all will be efficient in the Pareto sense: you cannot make anyone better off without making someone else worse off. If you ever studied an Edge worth box, you’ve seen how economists show this.
The separability of equity and efficiency was reinforced by the Nobel laureate Ronald Coase, who argued that bargaining will lead to an efficient outcome regardless of the initial allocation of property rights, even in the case of externalities (a cost or benefit not reflected in prices, like pollution). According to Coase, as long as we can costlessly negotiate it doesn’t matter whether you have the right to smoke or I have the right to breathe clean air. Once we have finished bargaining with each other, the amount of smoke in the air will be the same. This view has achieved the status of a theorem: Coase’s Theorem.
If efficiency and equity are truly separate issues, then there is not much room for economic policy, nor much reason for efficiency-minded economists to worry about equity. (Of course, even economists might worry about equity for other [i.e., humanitarian] reasons.)
If only things were that simple! Alas, negotiation is never costless (and often prohibitively expensive). For this and many other reasons, a great deal of development economists’ effort goes into discovering how equity and efficiency are intertwined, especially in poor countries. How assets are distributed clearly affects efficiency if the following conditions hold:
In these and many other cases, the separability of equity and efficiency breaks down. A person’s capacity to produce (or even consume) efficiently depends upon how wealth is distributed to start out with because the basic assumptions of competitive markets often don’t hold for the poorest members of society. A rich farmer can produce where the market price equals the marginal cost of producing a crop, the basic requirement for profit maximization and efficiency. But if a poor farmer lacks the cash to buy fertilizer, and no bank will lend to her, she will not be able to produce as efficiently as the large farmer. This implies that efficiency depends on how income is distributed to begin with, which is an important departure from standard assumptions in economics.
The conditions under which equity affects efficiency are many, and they permeate the economies and societies of poor countries. Development economics, more than anything else perhaps, is the study of economies in which equity and efficiency are closely interrelated. This opens up a whole realm of possibilities for policy and project interventions to increase economic efficiency as well as equity. More often than not, equity and efficiency are not only complementary; they are inseparable.
1.4 THE MILLENNIUM DEVELOPMENT GOALS (MDGS)
Eradicating extreme poverty continues to be one of the main challenges of our time, and is a major concern of the international community. Ending this scourge will require the combined efforts of all, governments, civil society organizations and the private sector, in the context of a stronger and more effective global partnership for development. The Millennium Development Goals set time bound targets, by which progress in reducing income poverty, hunger, disease, lack of adequate shelter and exclusion—while promoting gender equality, health, education and environmental sustainability—can be measured. They also embody basic human rights—the rights of each person on the planet to health, education, shelter and security. The Goals are ambitious but feasible and, together with the comprehensive United Nations development agenda, set the course for the world’s efforts to alleviate extreme poverty by 2015. (United Nations Secretary-General BAN Ki-moon).
In September 2000, 189 nations came together at United Nations Headquarters in New York and adopted the United Nations Millennium Declaration. In it, they committed to creating a new global partnership to reduce extreme poverty and achieve a set of specific development targets by 2015. These targets (see appendix at the end of this chapter), which range from health to environment to gender equality, have become known as the Millennium Development Goals (MDGs). Setting goals like these and monitoring our progress toward achieving them requires tremendous amounts of data, measurement methods, and above all, commitment.
If you attend almost any international development meeting, you almost certainly will hear the MDGs come up. The MDGs are often used by governments and international development agencies to motivate and justify specific development projects. They have galvanized efforts to meet the needs of people in the world’s poorest countries, but they are not without their detractors. There is ongoing debate among economists about whether this kind of formal, “technocratic” approach, in which scientists and experts are in control, is beneficial or harmful. It may help the poor by funnelling funds and expertise to areas of urgent need. However, it could do the opposite by imposing external power and plans that do not reflect local context.