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This volume provides a comprehensive analytic contribution to a crucial topic within development economics based on 15 years of continued data collection and research efforts. It brings together nine up-to-date studies on SME development in a coherent framework to help persuade national and international policy makers (including donors) of the need to take the international call for a data revolution seriously, not only in rhetoric, but also in concrete plans and budget allocations, and in the necessary sustained action at country level. More specifically, the volume: Provides an in-depth evaluation of the development of private sector formal and informal manufacturing SMEs in a developing country—Vietnam in this case—over the past decade, combining a unique primary source of panel data with the best analytical tools available. Generates a comprehensive understanding of the impact of business risks, credit access, and institutional characteristics, on the one hand, and government policies on SME growth performance at the enterprise level, on the other, including the importance of working conditions, informality, and union membership. Serves as a lens through which other countries, and the international development community at large, may wish to approach the massive task of pursuing a meaningful data revolution as an integral element of the SDG development agenda. Makes available a comprehensive set of materials and studies of use to academics, students, and development practitioners interested in an integrated approach to the study of economic growth, private sector development, and the microeconomic analysis of SME development in a fascinating developing country.

For a growing number of countries in Africa the discovery and exploitation of natural resources is a great opportunity, but one accompanied by considerable risks. In Africa, countries dependent on oil, gas, and mining have tended to have weaker long-run growth, higher rates of poverty, and greater income inequality than less resource-abundant economies. In resource-producing economies, relative prices make it more difficult to diversify into activities outside of the resource sector, limiting structural change. Economic structure matters for at least two reasons. First, countries whose exports are highly concentrated are vulnerable to declining prices and volatility. Second, economic diversification matters for long-term growth. This book presents research undertaken to understand how better management of the revenues and opportunities associated with natural resources can accelerate diversification and structural change in Africa. It begins with chapters on managing the boom, the construction sector, and linking industry to the resource—three major issues that frame the question of how to use natural resources for structural change. It then reports the main research results for five countries—Ghana, Mozambique, Uganda, Tanzania, and Zambia. Each country study covers the same three themes—managing the boom, the construction sector, and linking industry to the resource. One message that clearly emerges is that good policy can make a difference. A concluding chapter sets out some ideas for policy change in each of the areas that guided the research, and then goes on to propose some ideas for widening the options for structural change.

Africa's Lions examines the economic growth experiences of six fast-growing and/or economically dominant African countries. Expert African researchers offer unique perspectives into the challenges and issues in Ethiopia, Ghana, Kenya, Mozambique, Nigeria, and South Africa. Despite a growing body of research on African economies, very little research has focused on the relationship between economic growth and employment outcomes at the detailed country level. A lack of empirical data has, in many cases, deprived policymakers of a robust evidence base on which to make informed decisions. By harnessing country-level household, firm, and national accounts data, together with existing analytical country research, the authors have attempted to bridge this gap

Detailed analyses of poverty and wellbeing in developing countries, based on household surveys, have been ongoing for more than three decades. The large majority of developing countries now regularly conduct a variety of household surveys, and their information base with respect to poverty and wellbeing has improved dramatically. Nevertheless, appropriate measurement of poverty remains complex and controversial. This is particularly true in developing countries where (i) the stakes with respect to poverty reduction are high; (ii) the determinants of living standards are often volatile; and (iii) related information bases, while much improved, are often characterized by significant non-sample error. It also remains, to a surprisingly high degree, an activity undertaken by technical assistance personnel and consultants based in developed countries. This book seeks to enhance the transparency, replicability, and comparability of existing practice. It also aims to significantly lower the barriers to entry to the conduct of rigorous poverty measurement and increase the participation of analysts from developing countries in their own poverty assessments. The book focuses on two domains: the measurement of absolute consumption poverty and a first-order dominance approach to multidimensional welfare analysis. In each domain, it provides a series of computer codes designed to facilitate analysis by allowing the analyst to start from a flexible and known base. The volume covers the theoretical grounding for the code streams provided, a chapter on 'estimation in practice', a series of eleven case studies where the code streams are operationalized, a synthesis, an extension to inequality, and a look forward.

Much of the information relevant to policy formulation for industrial development is held by the private sector, not by public officials. There is, therefore, fairly broad agreement in the development literature that some form of structured engagement—often referred to as close or strategic coordination—between the public and private sectors is needed, to assist in the design of appropriate policies and provide feedback on their implementation. There is less agreement on how that engagement should be structured, how its objectives be defined, and how success be measured. In fact, the academic literature provides little practical guidance on how governments interested in developing such a framework should go about doing it. The burden of this lack of guidance falls most heavily on Africa, where—despite twenty years of growth—lack of structural transformation has slowed job creation and the pace of poverty reduction. In 2014, the Korea International Cooperation Agency (KOICA) and United Nations University World Institute for Development Economics Research (UNU-WIDER) launched a joint research project: The Practice of Industrial Policy. The aim is to help African policy makers develop better coordination between public and private sectors in order to identify the constraints to faster structural transformation and design, implement, and monitor policies to remove them. This book, written by national researchers and international experts, presents the results of that research by combining a set of analytical 'framing' essays on close coordination with case studies of successful and unsuccessful efforts at close coordination in Africa and in comparator countries.

Detailed analyses of poverty and wellbeing in developing countries, based on household surveys, have been ongoing for more than three decades. The large majority of developing countries now regularly conduct a variety of household surveys, and their information base with respect to poverty and wellbeing has improved dramatically. Nevertheless, appropriate measurement of poverty remains complex and controversial. This is particularly true in developing countries where (i) the stakes with respect to poverty reduction are high; (ii) the determinants of living standards are often volatile; and (iii) related information bases, while much improved, are often characterized by significant non-sample error. It also remains, to a surprisingly high degree, an activity undertaken by technical assistance personnel and consultants based in developed countries. This book seeks to enhance the transparency, replicability, and comparability of existing practice. It also aims to significantly lower the barriers to entry to the conduct of rigorous poverty measurement and increase the participation of analysts from developing countries in their own poverty assessments. The book focuses on two domains: the measurement of absolute consumption poverty and a first-order dominance approach to multidimensional welfare analysis. In each domain, it provides a series of computer codes designed to facilitate analysis by allowing the analyst to start from a flexible and known base. The volume covers the theoretical grounding for the code streams provided, a chapter on 'estimation in practice', a series of eleven case studies where the code streams are operationalized, a synthesis, an extension to inequality, and a look forward.

What are the macroeconomic prospects for South Africa until the new millennium? Two methods of macroeconomic modelling, associated with the World Bank and IMF, are used here to generate three scenarios, based on moderately optimistic projections. The methodology used can be applied to other developing countries.

AbstractTaking advantage of the 2019/2020 Mozambican household budget survey, in the field both before and during the first phases of the Covid-19 pandemic, we assess the impact of Covid-19 on welfare in 2020, aiming to disentangle this impact from the effect of other shocks. Comparing a number of welfare metrics, and applying propensity score matching and inverse probability weighted regression adjustment approaches, we find that consumption levels are significantly lower and poverty rates substantially higher during the first phases of Covid-19 than in the pre-Covid-19 period. Moreover, the impact was greater in urban areas and accordingly in the more urbanised southern region. Non-food expenditures suffered relatively more than food expenditures, likely a coping strategy, while the impact on consumption levels was greater for people working in the secondary and tertiary sectors than for workers in the primary sector, mainly agriculture. Stunting among under-5 children also suffered. Only a limited number of countries have actual, collected in-person, survey data that span across the initial phases of the Covid-19 pandemic. Thus, the present analysis adds value to our understanding of the welfare consequences of Covid-19 in a low-income context, where automatic social safety nets were not in place during the early phases of the pandemic. More specifically, it helps in assessing the results of previous welfare impact simulations, compared to real data. Even though our main findings are broadly in line with existing estimates based on simulations or phone surveys, important differences between the predictions and the actual results emerge. We conclude that it is critically important for Mozambique and its development partners to develop stronger and more targeted policies and tools to respond to temporary shocks.