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Master's Thesis from the year 2014 in the subject Economics - Other, grade: Frst Grade, Wollega University (Business and Economics), course: Development Economics, language: English, abstract: This study has examined sectoral analysis of the impact of foreign aid on aggregate and sectoral economic growth in Ethiopia over the period 1981 to 2012 using multivariate Vector auto regression analysis. All the necessary time series tests such as stationary test, co-integration test, weak exiguity test, vector error correction, and causality test in vector error correction model and the like are conducted. The empirical result from the growth equation shows that aid has a significant positive impact on educational sector GDP in the long run. On the other hand, foreign aid has positive but insignificant impact on real GDP, agriculture GDP, and health sector GDP of Ethiopia. Foreign aid is effective in enhancing growth at aggregate level of the economy in general and education sector of the economy of Ethiopia in particular. The test result of the study result reveals that there is a bi-directional causal relationship between educational GDP and educational foreign aid in Ethiopia. However, the agricultural and health sector does not show any bi-directional causality with their respective sector aid. This implies that all aid allocated for sectors is ineffective all in all in achieving its objectives of economic development. Therefore, aid recipient country like Ethiopia has to work how to enhance the domestic revenue raising capacity of the country which is at the heart of the mechanism to meet the capital required for the economy in times of short falls and ineffectiveness of external resources.
This study has examined sectoral analysis of the impact of foreign aid on aggregate and sectoral economic growth in Ethiopia over the period 1981 to 2012 using Multivariate Vector Auto Regression analysis. All the necessary time series tests such as stationary test, co-integration test, weak exiguity test, vector error correction, and causality test in vector error correction model and the like are conducted. The empirical result from the growth equation shows that aid has a significant positive impact on educational sector GDP growth in the long run. On the other hand, foreign aid has positive but insignificant impact on real GDP growth, agriculture GDP growth, and health sector GDP growth of Ethiopia for the period under consideration. Foreign aid is effective in enhancing economic growth at aggregate level of Ethiopia in general and education sector in particular. The result of the study reveals that there is a bi-directional causal relationship between educational GDP and educational foreign aid in Ethiopia. There is also a unidirectional causality between agricultural aid and agricultural GDP growth. However, the health sector does not show any causality with their respective sector aid. This implies that aid allocated for certain sectors is ineffective in achieving its objectives of economic growth. Therefore, aid recipient country like Ethiopia has to work how to enhance the domestic revenue raising capacity of the country which is at the heart of the mechanism to meet the capital required for the economy in times of short falls and ineffectiveness of external resources.
This is the most comprehensive and up-to-date analysis of the global aid scene.
Assessing Aid determines that the effectiveness of aid is not decided by the amount received but rather the institutional and policy environment into which it is accepted. It examines how development assistance can be more effective at reducing global poverty and gives five mainrecommendations for making aid more effective: targeting financial aid to poor countries with good policies and strong economic management; providing policy-based aid to demonstrated reformers; using simpler instruments to transfer resources to countries with sound management; focusing projects oncreating and transmitting knowledge and capacity; and rethinking the internal incentives of aid agencies.
Debunking the current model of international aid promoted by both Hollywood celebrities and policy makers, Moyo offers a bold new road map for financing development of the world's poorest countries.
A study which discusses the structural problems in Zambia and the policies of adjustment that have been tried. It also analyses the impact of various strategies with regard to external resource transfers. The results show that the scope for growth is highly dependent on the tightness of the external resource constraint, and that debt service tends to dominate the policy-making.
Aid has worked in the past but can be made to work better in the future. This book offers important new research and will appeal to those working in economics, politics and development studies as well as to governmental and aid professionals.
The COVID-19 pandemic struck the global economy after a decade that featured a broad-based slowdown in productivity growth. Global Productivity: Trends, Drivers, and Policies presents the first comprehensive analysis of the evolution and drivers of productivity growth, examines the effects of COVID-19 on productivity, and discusses a wide range of policies needed to rekindle productivity growth. The book also provides a far-reaching data set of multiple measures of productivity for up to 164 advanced economies and emerging market and developing economies, and it introduces a new sectoral database of productivity. The World Bank has created an extraordinary book on productivity, covering a large group of countries and using a wide variety of data sources. There is an emphasis on emerging and developing economies, whereas the prior literature has concentrated on developed economies. The book seeks to understand growth patterns and quantify the role of (among other things) the reallocation of factors, technological change, and the impact of natural disasters, including the COVID-19 pandemic. This book is must-reading for specialists in emerging economies but also provides deep insights for anyone interested in economic growth and productivity. Martin Neil Baily Senior Fellow, The Brookings Institution Former Chair, U.S. President’s Council of Economic Advisers This is an important book at a critical time. As the book notes, global productivity growth had already been slowing prior to the COVID-19 pandemic and collapses with the pandemic. If we want an effective recovery, we have to understand what was driving these long-run trends. The book presents a novel global approach to examining the levels, growth rates, and drivers of productivity growth. For anyone wanting to understand or influence productivity growth, this is an essential read. Nicholas Bloom William D. Eberle Professor of Economics, Stanford University The COVID-19 pandemic hit a global economy that was already struggling with an adverse pre-existing condition—slow productivity growth. This extraordinarily valuable and timely book brings considerable new evidence that shows the broad-based, long-standing nature of the slowdown. It is comprehensive, with an exceptional focus on emerging market and developing economies. Importantly, it shows how severe disasters (of which COVID-19 is just the latest) typically harm productivity. There are no silver bullets, but the book suggests sensible strategies to improve growth prospects. John Fernald Schroders Chaired Professor of European Competitiveness and Reform and Professor of Economics, INSEAD
Master's Thesis from the year 2014 in the subject Economics - Other, grade: Frst Grade, Wollega University (Business and Economics), course: Development Economics, language: English, abstract: This study has examined sectoral analysis of the impact of foreign aid on aggregate and sectoral economic growth in Ethiopia over the period 1981 to 2012 using multivariate Vector auto regression analysis. All the necessary time series tests such as stationary test, co-integration test, weak exiguity test, vector error correction, and causality test in vector error correction model and the like are conducted. The empirical result from the growth equation shows that aid has a significant positive impact on educational sector GDP in the long run. On the other hand, foreign aid has positive but insignificant impact on real GDP, agriculture GDP, and health sector GDP of Ethiopia. Foreign aid is effective in enhancing growth at aggregate level of the economy in general and education sector of the economy of Ethiopia in particular. The test result of the study result reveals that there is a bi-directional causal relationship between educational GDP and educational foreign aid in Ethiopia. However, the agricultural and health sector does not show any bi-directional causality with their respective sector aid. This implies that all aid allocated for sectors is ineffective all in all in achieving its objectives of economic development. Therefore, aid recipient country like Ethiopia has to work how to enhance the domestic revenue raising capacity of the country which is at the heart of the mechanism to meet the capital required for the economy in times of short falls and ineffectiveness of external resources.