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How important is foreign aid in fostering economic growth in developing countries? Does it help recipient countries, hurt them, or have little effect either way?Foreign Aid Allocation, Governance, and Economic Growthinvestigates this issue by looking at foreign aid by sector rather than treating it as an aggregate amount. Aid can be allocated to a recipient's production sectors (such as agriculture, manufacturing, or mining), economic infrastructure (such as transport, storage, or communications networks or power generation facilities), or social sectors (such as education or healthcare). This book differentiates among various channels through which each of these three categories of foreign aid affects economic growth. The findings suggest that economic aid, including aid to production sectors and economic infrastructure, contributes to economic growth by increasing domestic investment. Aid to social sectors, however, does not appear to have a significant impact on human capital (measured by school enrollment) and economic growth. This study also assesses the degree to which the quality of democratic governance in a recipient country influences foreign aid's effectiveness and finds that democracy is no guarantee of aid effectiveness. In fact, economic aid to less democratic countries can lead to better economic growth, at least initially, provided the aid recipients secure property rights and allow capital accumulation. Although further research into the question is necessary,Foreign Aid Allocation, Governance, and Economic Growthsuggests that aid targeted to increasing domestic investment might be an effective means of fostering economic growth in less developed countries.

Kamiljon T. Akramov investigates the effectiveness of foreign aid to developing countries by comparing the results of aid allocated to a recipient's production sectors, economic infrastructure, or social sectors.

The economics of growth has come a long way since it regained center stage for economists in the mid-1980s. Here for the first time is a series of country studies guided by that research. The thirteen essays, by leading economists, shed light on some of the most important growth puzzles of our time. How did China grow so rapidly despite the absence of full-fledged private property rights? What happened in India after the early 1980s to more than double its growth rate? How did Botswana and Mauritius avoid the problems that other countries in sub--Saharan Africa succumbed to? How did Indonesia manage to grow over three decades despite weak institutions and distorted microeconomic policies and why did it suffer such a collapse after 1997? What emerges from this collective effort is a deeper understanding of the centrality of institutions. Economies that have performed well over the long term owe their success not to geography or trade, but to institutions that have generated market-oriented incentives, protected property rights, and enabled stability. However, these narratives warn against a cookie-cutter approach to institution building. The contributors are Daron Acemoglu, Maite Careaga, Gregory Clark, J. Bradford DeLong, Georges de Menil, William Easterly, Ricardo Hausmann, Simon Johnson, Daniel Kaufmann, Massimo Mastruzzi, Ian W. McLean, Lant Pritchett, Yingyi Qian, James A. Robinson, Devesh Roy, Arvind Subramanian, Alan M. Taylor, Jonathan Temple, Barry R. Weingast, Susan Wolcott, and Diego Zavaleta.

Are countries at a low level of socio-economic development catching up with developed countries over time or rather falling further behind? Existing work on the subject is not conclusive, partially due to methodological differences. The aim of the paper is to carry out a broader analysis with longer time series and a more diverse set of indicators. The study divides countries of the world into 21 developed \"benchmark\" countries and 156 developing countries. The distance between the benchmark and developing countries is measured using the \"time lags\" method, applied here to nine indicators covering topics such as the economy, health, education and the environment. The study further utilizes a probabilistic approach to extrapolate missing historical data for developing countries, so that the analysis can cover a full century starting in 1920 and ending with short-term projections to year 2020. The study finds that a majority of developing countries, and the population-weighted developing world as a whole, has reduced its lag in most indicators between 1920 and 2020. Progress was unevenly distributed, with East Asian and European countries converging the most with the benchmark, while most African countries have diverged along with some American ones. Catch-up in education attainment and life expectancy has been more successful than in infant survival rate, GDP per capita or technology adoption. The findings are put in context of United Nations' Sustainable Development Goals, showing how the time lag method could improve setting targets for some of the goals. Further, time lags are used to analyze the current demographic, economic and political situation of developing countries, identifying opportunities and risks for future catch-up with developed countries.

The Atlas of Sustainable Development Goals 2018 is a visual guide to the trends, challenges and measurement issues related to each of the 17 Sustainable Development Goals. The Atlas features maps and data visualizations, primarily drawn from World Development Indicators (WDI) - the World Bank's compilation of internationally comparable statistics about global development and the quality of people's lives. Given the breadth and scope of the SDGs, the editors have been selective, emphasizing issues considered important by experts in the World Bank's Global Practices and Cross Cutting Solution Areas. Nevertheless, The Atlas aims to reflect the breadth of the Goals themselves and presents national and regional trends and snapshots of progress towards the UN's seventeen Sustainable Development Goals related to: poverty, hunger, health, education, gender, water, energy, jobs, infrastructure, inequalities, cities, consumption, climate, oceans, the environment, peace, institutions, and partnerships.

One of the most urgent challenges in African economic development is to devise a strategy for improving statistical capacity. Reliable statistics, including estimates of economic growth rates and per-capita income, are basic to the operation of governments in developing countries and vital to nongovernmental organizations and other entities that provide financial aid to them. Rich countries and international financial institutions such as the World Bank allocate their development resources on the basis of such data. The paucity of accurate statistics is not merely a technical problem; it has a massive impact on the welfare of citizens in developing countries.Where do these statistics originate? How accurate are they? Poor Numbers is the first analysis of the production and use of African economic development statistics. Morten Jerven's research shows how the statistical capacities of sub-Saharan African economies have fallen into disarray. The numbers substantially misstate the actual state of affairs. As a result, scarce resources are misapplied. Development policy does not deliver the benefits expected. Policymakers' attempts to improve the lot of the citizenry are frustrated. Donors have no accurate sense of the impact of the aid they supply. Jerven's findings from sub-Saharan Africa have far-reaching implications for aid and development policy. As Jerven notes, the current catchphrase in the development community is \"evidence-based policy,\" and scholars are applying increasingly sophisticated econometric methods—but no statistical techniques can substitute for partial and unreliable data.

The study assesses the pattern of disparities in socio-economic development at the district level in India applying the Wroclow Taxonomic technique (following Ewusi. Social Indicators Research 3(1) 75–110, 1976, and Arief. Social Indicators Research 11(3) 259–267, 1982) based upon optimal combination of selected socio-economic development indicators. In order to get a clear picture of regional socio-economic disparities in India, the level of development is assessed separately for agriculture, industrial and infrastructural sectors and the districts are classified into four development categories according to the values of the constructed development index. For bringing about uniform regional development and improving the quality-of-life, model districts for disadvantaged districts have been identified and potential targets for various social amenities have been estimated. An attempt has also been made to compare the levels of socio-economic development among various regions in India. The constructed socio-economic development index shows that India’s Southern region is far more and symmetrically developed in comparison of Central and Northern regions. The results show that wide disparities in the level of socio-economic development exist among different districts within and between different regions of India. The level of development in infrastructural service sector is found to be positively and statistically significantly associated with the overall socio-economic development indicating that the growth and progress of the sectors have been going hand in hand in the country. The results show that in Northern and Central regions of India the level of industrial development does not significantly influence the agricultural and overall socio-economic development while agricultural development influences overall socio-economic development. The study suggests that low developed districts require improvement in most of the indicators for enhancing their levels of overall socio-economic development.

Europe's growth will have to be golden in yet another sense. Economic prosperity has brought to Europeans the gift of longer lives, and the continent's population has aged a lot over the last five decades. Over the next five, it will age even more by 2060; almost a third of Europeans will be older than 65 years. Europe will have to rebuild its structures to make fuller use of the energies and experience of its more mature population's people in their golden years. These desires and developments already make the European growth model distinct. Keeping to the discipline of the golden rule would make it distinguished. This report shows how Europeans have organized the six principal economic activities trade, finance, enterprise, innovation, labor, and government in unique ways. But policies in parts of Europe do not recognize the imperatives of demographic maturity and clash with growth's golden rule. Conforming growth across the continent to Europe's ideals and the iron laws of economics will require difficult decisions. This report was written to inform them. Its findings the changes needed to make trade and finance will not be as hard as those to improve enterprise and innovation; these in turn are not as arduous and urgent as the changes needed to restructure labor and government. Its message the remedies are not out of reach for a part of the world that has proven itself both intrepid and inclusive.

This study stabs to probe the impact of financial development, urbanization, trade openness, political institutions, and energy consumption on the ecological footprints (EF), within the framework of EKC, of 110 countries congregated by income levels, over the time span of 1996–2016. The final outcome of cross-sectionally weighted Panel EGLS and multi-step A-B GMM evidently reinforced the existence of EKC hypothesis in case of EF both in developed and less-developed countries. This study finds the destructive environmental impact of composition effect and energy consumption while political institutions, trade openness, and urbanization have constructive environmental effect. Financial development reduces the human demand on nature only in less-developed countries. The ultimate consequences of this study are equipped with several policy recommendations for the concerned authorities.