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61. The (Indispensable) Middle Class in Developing Countries; or, The Rich and the Rest, Not the Poor and the Rest

Author:
Nancy Birdsall
Publication Date:
03-2010
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
Inclusive growth is widely embraced as the central economic goal for developing countries, but the concept is not well defined in the development economics literature. Since the early 1990s, the focus has been primarily on pro-poor growth, with the "poor" being people living on less than $1 day, or in some regions $2 day. The idea of pro-poor growth emerged in the early 1990s as a counterpoint to a concern with growth alone (measured in per-capita income) and is generally defined as growth which benefits the poor as much or more than the rest of the population. Examples include conditional cash transfers, which target the poor while minimizing the fiscal burden on the public sector, and donors' emphasizing primary over higher education as an assured way to benefit the poor while investing in long-term growth through increases in human capital. Yet these pro-poor, inclusive policies are not necessarily without tradeoffs in fostering long-run growth. In this paper I argue that the concept of inclusive growth should go beyond the traditional emphasis on the poor (and the rest) and take into account changes in the size and economic command of the group conventionally defined as neither poor nor rich, i.e., the middle class.
Topic:
Economics, International Political Economy, Poverty, and Foreign Aid

62. Open Markets for the Poorest Countries: Trade Preferences That Work

Author:
Kimberly Ann Elliott
Publication Date:
04-2010
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
Trade preference programs are an important and underused tool for stimulating exports, creating jobs, reducing poverty, and promoting prosperity and stability in poor countries. While many rich countries provide special access for exports from the least developed countries (LDCs) to promote these benefits, the trade preferences often do not extend to the products that matter most to LDCs, such as agriculture and clothing. Improving these programs could make a major difference in the lives of the poor, while having minimal effects on production or exports in preference-giving countries because the affected trade is so small: less than 1 percent of global exports are from LDCs. And, in the longer term, improved trade preferences for LDCs will promote shared prosperity and stability in rich and poor countries alike. Recognizing the role of trade in poverty reduction, the UN's Millennium Development Goals (MDGs) for poor countries call on high-income countries to provide duty-free, quota-free market access for the LDCs.
Topic:
Development, Economics, International Political Economy, International Trade and Finance, Poverty, and Third World

63. Making Trade Preferences Work for the Poorest Countries

Author:
Kimberly Ann Elliott
Publication Date:
04-2010
Content Type:
Policy Brief
Institution:
Center for Global Development
Abstract:
Trade preference programs can reduce poverty and promote prosperity and stability in the world's poorest countries, but they often fall short of their intended goals. They regularly exclude commodities that poor countries can produce competitively, such as agricultural products and clothing, and many programs must be frequently renewed, creating uncertainty and discouraging investment. Extending comprehensive, usable, and predictable quota-free market access to all least developed countries could provide a critical boost to the world's poorest people with only trivial effects on preference-giving countries. G-20 leaders should embrace trade preference reform this year to promote growth and stability in the world's poorest countries.
Topic:
International Trade and Finance, Markets, Poverty, and Third World

64. Pulling Agricultural Innovation and the Market Together

Author:
Kimberly Elliott
Publication Date:
06-2010
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
Feeding an additional three billion people over the next four decades, along with providing food security for another one billion people that are currently hungry or malnourished, is a huge challenge. Meeting those goals in a context of land and water scarcity, climate change, and declining crop yields will require another giant leap in agricultural innovation. The aim of this paper is to stimulate a dialogue on what new approaches might be needed to meet these needs and how innovative funding mechanisms could play a role. In particular, could “pull mechanisms,” where donors stimulate demand for new technologies, be a useful complement to traditional “push mechanisms,” where donors provide funding to increase the supply of research and development (R). With a pull mechanism, donors seek to engage the private sector, which is almost entirely absent today in developing country R for agriculture, and they pay only when specified outcomes are delivered and adopted.
Topic:
Security, Agriculture, Development, and Poverty

65. Learning about Schools in Development

Author:
Charles Kenny
Publication Date:
12-2010
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
There has been considerable progress in school construction and enrollment worldwide. Paying kids to go to school can help overcome remaining demand-side barriers to enrollment. Nonetheless, the quality of education appears very poor across the developing world, limiting development impact. Thus we should measure and promote learning not schooling. Conditional cash transfers to students on the basis of attendance and scores, school choice, decentralization combined with published test results, and teacher pay based on attendance and performance may help. But learning outcomes are primarily affected by the broader environment in which students live, suggesting a learning agenda that stretches far beyond education ministries.
Topic:
Development, Economics, Education, and Poverty
Political Geography:
Afghanistan and East Asia

66. Capability Traps? The Mechanisms of Persistent Implementation Failure

Author:
Lant Pritchett, Michael Woolcock, and Matt Andrews
Publication Date:
12-2010
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
Many countries remain stuck in conditions of low productivity that many call “poverty traps.” Economic growth is only one aspect of development; another key dimension of development is the expansion of the administrative capability of the state, the capability of governments to affect the course of events by implementing policies and programs. We use a variety of empirical indicators of administrative capability to show that many countries remain in “state capability traps” in which the implementation capability of the state is both severely limited and improving (if at all) only very slowly. At their current pace of progress countries like Haiti or Afghanistan or Liberia would take hundreds (if not thousands) of years to reach the capability of a country like Singapore and decades to reach even a moderate capability country like India. We explore how this can be so. That is, we do not attempt to explain why countries remain in capability traps; this would require a historical, political and social analysis uniquely applied to each country. Rather, we focus on how countries manage to engage in the domestic and international logics of “development” and yet consistently fail to acquire capability. What are the techniques of failure? Two stand out. First, 'big development' encourages progress through importing standard responses to predetermined problems. This encourages isomorphic mimicry as a technique of failure: the adoption of the forms of other functional states and organizations which camouflages a persistent lack of function. Second, an inadequate theory of developmental change reinforces a fundamental mismatch between expectations and the actual capacity of prevailing administrative systems to implement even the most routine administrative tasks. This leads to premature load bearing, in which wishful thinking about the pace of progress and unrealistic expectations about the level and rate of improvement of capability lead to stresses and demands on systems that cause capability to weaken (if not collapse). We conclude with some suggestive directions for sabotaging these techniques of failure.
Topic:
Development, Economics, and Poverty
Political Geography:
Afghanistan, India, and Liberia

67. Giving Money Away? The Politics of Direct Distribution in Resource Rich States

Author:
Alexandra Gillies
Publication Date:
11-2010
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
The governments of resource rich states have several options for how to allocate oil and mineral revenues, including the direct distribution of revenues to their citizens. This paper discusses the political feasibility and political implications of such cash transfers in the specific context of resource-rich states. Identifying the contexts in which this policy is mostly likely to emerge, and understanding the potential governance risks and benefits, will help policymakers to consider the desirability of cash transfers as an allocation choice.
Topic:
Development, Humanitarian Aid, Poverty, Foreign Aid, and Foreign Direct Investment

68. Emerging Africa: How 17 Countries Are Leading the Way

Author:
Steven Radelet
Publication Date:
09-2010
Content Type:
Policy Brief
Institution:
Center for Global Development
Abstract:
There's good news out of Africa. Seventeen emerging countries are putting behind them the conflict, stagnation, and dictatorships of the past. Since the mid-1990s, these countries have defied the old negative stereotypes of poverty and failure by achieving steady economic growth, deepening democracy, improving governance, and decreasing poverty.
Topic:
Debt, Democratization, Development, Economics, and Poverty
Political Geography:
Africa

69. The End of ODA: Death and Rebirth of a Global Public Policy

Author:
Jean-Michel Severino and Olivier Ray
Publication Date:
03-2009
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
The world of international development assistance is undergoing three concomitant revolutions, which concur to the emergence of a truly global policy. First, it is living through a diversification of the goals it is asked to pursue: to its traditional objective of ushering convergence between less and more developed economies have progressively been adjoined those of financing access to essential services and protecting global public goods. Secondly, faced with this new array of challenges, the world of development aid has demonstrated an impressive capacity to increase the number and diversity of its players, generating a governance conundrum for this eminently fragmented global policy. Thirdly, the instruments used by this expanding array of actors to achieve a broader range of policy objectives have themselves mushroomed, in the wake of innovations in mainstream financial markets. Yet surprisingly, this triple revolution in goals, actors and tools has not yet impacted the way we measure both the financial volumes dedicated to this emerging global policy nor the concrete impacts it aims to achieve. This paper argues for the need to move from the conventional measure of Official Development Assistance to the construction of clearer benchmarks for what ultimately matters: resources and results that concur to 21st century international development.
Topic:
Development, Humanitarian Aid, Post Colonialism, Poverty, and Third World

70. Estimating Fully Observed Recursive Mixed-Process Models with cmp

Author:
David Roodman
Publication Date:
04-2009
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
At the heart of many econometric models is a linear function and a normal error. Examples include the classical small-sample linear regression model and the probit, ordered probit, multinomial probit, Tobit, interval regression, and truncated-distribution regression models. Because the normal distribution has a natural multidimensional generalization, such models can be combined into multi-equation systems in which the errors share a multivariate normal distribution. The literature has historically focused on multi-stage procedures for estimating mixed models, which are more efficiently computationally, if less so statistically, than maximum likelihood (ML). But faster computers and simulated likelihood methods such as the Geweke, Hajivassiliou, and Keane (GHK) algorithm for estimating higher-dimensional cumulative normal distributions have made direct ML estimation practical. ML also facilitates a generalization to switching, selection, and other models in which the number and types of equations vary by observation. The Stata module cmp fits Seemingly Unrelated Regressions (SUR) models of this broad family. Its estimator is also consistent for recursive systems in which all endogenous variables appear on the right-hand-sides as observed. If all the equations are structural, then estimation is full-information maximum likelihood (FIML). If only the final stage or stages are, then it is limited-information maximum likelihood (LIML). cmp can mimic a dozen built-in Stata commands and several user-written ones. It is also appropriate for a panoply of models previously hard to estimate. Heteroskedasticity, however, can render it inconsistent. This paper explains the theory and implementation of cmp and of a related Mata function, ghk2(), that implements the GHK algorithm.
Topic:
Development, Humanitarian Aid, Poverty, and Third World