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The Exporter Dynamics Database is the first database providing indicators for close to 70 countries over the period 1997-2014 on the basic characteristics of their exporting firms, their concentration and diversification, their dynamics in terms of entry, exit and survival, and the unit prices of the goods they trade. This particular sub-database provides indicators at the country-HS 2-digit product-year level, all are calculated based on exporter-level customs data for each country.
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The Exporter Dynamics Database is the first database providing indicators for close to 70 countries over the period 1997-2014 on the basic characteristics of their exporting firms, their concentration and diversification, their dynamics in terms of entry, exit and survival, and the unit prices of the goods they trade. This particular sub-database provides indicators at the country-HS 4-digit product-year level, all are calculated based on exporter-level customs data for each country.
The Exporter Dynamics Database is the first database providing indicators for close to 70 countries over the period 1997-2014 on the basic characteristics of their exporting firms, their concentration and diversification, their dynamics in terms of entry, exit and survival, and the unit prices of the goods they trade. This particular sub-database provides indicators at the country-HS 6-digit product-year level, all are calculated based on exporter-level customs data for each country.
Poverty, shared prosperity, and equity indicators for LAC
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Listening to Africa and Harmonized Household Survey Project
The Service Delivery Indicators program is an application of the principles of the 2004 World Development Report Making Services Work for Poor People. The Service Delivery Indicators project is a new Africa-wide initiative that tracks service delivery in education and health across countries and over time. The project collects nationally representative data that focus mainly on performance and quality of service delivery in primary schools and at frontline health facilities. This partnership between the World Bank, the African Development Bank and the African Economic Research Consortium brings together development economists and sector specialists. The objective is to reposition the dialogue on human development in Africa within the context of effectiveness of public spending and accountability for service delivery.
The Trade Costs Dataset provides estimates of bilateral trade costs in agriculture and manufactured goods. It is built on trade and production data collected in over 200 countries. Symmetric bilateral trade costs are computed using the Inverse Gravity Framework (Novy 2009), which estimates trade costs for each country pair using bilateral trade and gross national output.
Subnational Population Database presents estimated population at the first administrative level below the national level. Many of the data come from the country’s national statistical offices. Other data come from the NASA Socioeconomic Data and Applications Center (SEDAC) managed by the Center for International Earth Science Information Network (CIESIN) , Earth Institute, Columbia University. It is the World Bank Group’s first subnational population database at a global level and there are data limitations. Series metadata includes methodology and the assumptions made.
Economic Fitness (EF) is both a measure of a country’s diversification and ability to produce complex goods on a globally competitive basis. Countries with the highest levels of EF have capabilities to produce a diverse portfolio of products, ability to upgrade into ever-increasing complex goods, tend to have more predictable long-term growth, and to attain good competitive position relative to other countries. Countries with low EF levels tend to suffer from poverty, low capabilities, less predictable growth, low value-addition, and trouble upgrading and diversifying faster than other countries. The comparison of the Fitness to the GDP reveals hidden information for the development and the growth of the countries.
The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement.