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Although Tanzania experienced relatively rapid growth in per capita GDP in the 1995-2001 period, household budget survey (HBS) data show only a modest and statistically insignificant decline in poverty between 1992 and 2001. To assess the likely trajectory of poverty rates over the course of the period, changes in poverty are simulated using unit-record HBS data and national accounts growth rates under varying assumptions for growth rates and inequality changes. To this end the projection approach of Datt and Walker (2002) is used along with an extension that is better suited to taking into account distributional changes observed between the two household surveys. The simulations suggest that following increases in poverty during the economic slowdown of the early 1990s, recent growth in Tanzania has brought a decline in poverty, particularly in urban areas. Unless recent growth is sustained, the country will not meet its 2015 Millennium Development Goal (MDG). Poverty reduction is on track in urban areas, but reaching the MDG target for bringing down poverty in rural areas, where most Tanzanians live, requires sustaining high growth in rural output per capita.
Far reaching macro-economic and structural reforms combined with increases in government spending have been the primary drivers of Tanzania's growth acceleration. As growth in government spending slows, the locomotive for growth will need to shift to increased demand for exports and domestically produced goods, requiring Tanzania to strengthen substantially its international competitiveness, accelerate structural change, and safeguard the environment while maintaining macroeconomic stability. For Tanzania's poor to be able to participate and benefit from important growth, a greater focus on rural development, improved governance of the management of Tanzania's natural resources, and better targeting of social services to the poor is suggested. Successful design and implementation of a shared growth strategy will also require a strengthening of policy management and coordination in Tanzania to ensure that scarce human and financial resources are effectively deployed.
"The importance of distributional issues in policymaking creates a need for empirical tools to assess the social impact of economic shocks and policies. This paper reviews some of the modeling approaches that are currently in use at the World Bank and other international financial institutions. The specification of these models is dictated by the issues at stake, the knowledge about the nature of the process involved, and the availability and reliability of relevant data. Furthermore, shocks and policies have macroeconomic, structural, and distributional implications. This creates interdependence between such policy issues. Finally, the distributional impact of shocks and policies hinges on the heterogeneity of socioeconomic agents with respect to endowments and behavior. In the end, each modeling approach should be judged on how well it handles the interdependence between policy issues and the heterogeneity of the stakeholders, given other constraints. " -- Cover verso.
This volume uses recent research from the World Bank to document and analyze the bidirectional relationship between poverty and migration in developing countries. The case studies chapters compiled in this book (from Tanzania, Nepal, Albania and Nicaragua), as well as the last, policy-oriented chapter illustrate the diversity of migration experience and tackle the complicated nexus between migration and poverty reduction. Two main messages emerge: Although evidence indicates that migration reduces poverty, it also shows that migration opportunities of the poor differ from that of the rest. In general, the evidence suggests that the poor either migrate less or migrate to low return destinations. As a consequence, many developing countries are not maximizing the poverty-reducing potential of migration. The main reason behind this outcome is difficulties in access to remunerative migration opportunities and the high costs associated with migrating. It is shown, for example, that reducing migration costs makes migration more pro-poor. The volume shows that developing countries governments are not without means to improve this situation. Several of the country examples offer a few policy recommendations towards this end.
While the economic growth renaissance in sub-Saharan Africa is widely recognized, much less is known about progress in living conditions. This book comprehensively evaluates trends in living conditions in 16 major sub-Saharan African countries, corresponding to nearly 75% of the total population. A striking diversity of experience emerges. While monetary indicators improved in many countries, others are yet to succeed in channeling the benefits of economic growth into the pockets of the poor. Some countries experienced little economic growth, and saw little material progress for the poor. At the same time, the large majority of countries have made impressive progress in key non-monetary indicators of wellbeing. Overall, the African growth renaissance earns two cheers, but not three. While gains in macroeconomic and political stability are real, they are also fragile. Growth on a per capita basis is much better than in the 1980s and 1990s, yet not rapid compared with other developing regions. Importantly from a pan-African perspective, key economies-particularly Kenya, Nigeria, and South Africa-are not among the better performers. Looking forward, realistic expectations are required. The development process is, almost always, a long hard slog. Nevertheless, real and durable factors appear to be at play on the sub-continent with positive implications for growth and poverty reduction in future.
Although Tanzania experienced relatively rapid growth in per capita GDP in the 1995-2001 period, household budget survey (HBS) data show only a modest and statistically insignificant decline in poverty between 1992 and 2001. To assess the likely trajectory of poverty rates over the course of the period, changes in poverty are simulated using unit-record HBS data and national accounts growth rates under varying assumptions for growth rates and inequality changes. To this end the projection approach of Datt and Walker (2002) is used along with an extension that is better suited to taking into account distributional changes observed between the two household surveys. The simulations suggest that following increases in poverty during the economic slowdown of the early 1990s, recent growth in Tanzania has brought a decline in poverty, particularly in urban areas. Unless recent growth is sustained, the country will not meet its 2015 Millennium Development Goal (MDG). Poverty reduction is on track in urban areas, but reaching the MDG target for bringing down poverty in rural areas, where most Tanzanians live, requires sustaining high growth in rural output per capita.This paper - a product of the Poverty Reduction and Economic Management 2 Team, Africa Technical Families - is part of a larger effort in the Tanzania country team to investigate the relation between economic growth and poverty reduction.
The International Assessment of Agricultural Knowledge, Science, and Technology for Development (IAASTD) looks realistically at how we could effectively use agriculture/AKST to help us meet development and sustainability goals. An unprecedented three-year collaborative effort, the IAASTD involved more than 400 authors in 110 countries and cost more than $11 million. It reports on the advances and setbacks of the past fifty years and offers options for the next fifty years. The results of the project are contained in seven reports: a Global Report, five regional Sub-Global Assessments, and a Synthesis Report. The Global Report gives the key findings of the Assessment, and the five Sub-Global Assessments address regional challenges. The volumes present options for action. All of the reports have been extensively peer-reviewed by governments and experts and all have been approved by a panel of participating governments. The Sub-Global Assessments all utilize a similar and consistent framework: examining and reporting on the impacts of AKST on hunger, poverty, nutrition, human health, and environmental/social sustainability. The five Sub-Global Assessments cover the following regions: Central and West Asia and North Africa (CWANA) East and South Asia and the Pacific (ESAP) Latin America and the Caribbean (LAC) North America and Europe (NAE) Sub-Saharan Africa (SSA)
This is an open access title available under the terms of a CC BY-NC-SA 3.0 IGO licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. 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 the information base in developing countries 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. In so doing, 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 flexible computer codes designed to facilitate analysis by allowing the analyst to start from a flexible and known base. The book volume covers the theoretical grounding for the code streams provided, a chapter on 'estimation in practice', a series of 11 case studies where the code streams are operationalized, as well as a synthesis, an extension to inequality, and a look forward.
This pocket-sized reference on key environmental data for over 200 countries includes key indicators on agriculture, forestry, biodiversity, energy, emission and pollution, and water and sanitation. The volume helps establish a sound base of information to help set priorities and measure progress toward environmental sustainability goals.
"To study the effects of tariffs on gross domestic product (GDP), one needs import demand elasticities at the tariff line level that are consistent with GDP maximization. These do not exist. Kee, Nicita, and Olarreaga modify Kohli's (1991) GDP function approach to estimate demand elasticities for 4,625 imported goods in 117 countries. Following Anderson and Neary (1992, 1994) and Feenstra (1995), they use these estimates to construct theoretically sound trade restrictiveness indices and GDP losses associated with existing tariff structures. Countries are revealed to be 30 percent more restrictive than their simple or import-weighted average tariffs would suggest. Thus, distortion is nontrivial. GDP losses are largest in China, Germany, India, Mexico, and the United States"--Abstract.