Download Free Little Data Book On Financial Development 2013 Book in PDF and EPUB Free Download. You can read online Little Data Book On Financial Development 2013 and write the review.

A pocket edition of the Global Financial Development Database, published as part of the work on the Global Financial Development Report 2013: Rethinking the Role of the State in Finance. It contains 38 indicators of financial development in 205 economies, including measures of (1) financial depth, (2) access, (3) efficiency, and (4) stability of financial institutions and markets.
The Little Data Book on Financial Development 2013 is a pocket edition of the Global Financial Development Database, published as part of the work on the Global Financial Development Report 2013: Rethinking the Role of the State in Finance. It contains 38 indicators of financial development in 205 economies, including measures of (1) financial depth, (2) access, (3) efficiency, and (4) stability of financial institutions and markets. Additional variables, historical observations, and links to underlying research are available at www.worldbank.org/financialdevelopment.
This pocket edition of the Global Financial Development Database contains 38 indicators of financial development in 205 economies, including measures of financial depth, access, efficiency, and stability of financial institutions and markets. Additional variables, historical observations, and links to underlying research are available at www.worldbank.org/financialdevelopment
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.
This pocket edition of the Global Financial Development Database contains 38 indicators of financial development in 205 economies, including measures of financial depth, access, efficiency, and stability of financial institutions and markets.
This pocket-sized reference on key development data for more than 200 countries provides profiles of each country with 54 development indicators about the financial sector access and services for lower income people.
The Little Data Book on Financial Development 2015/2016 is a pocket edition of the Global Financial Development Database, published as part of the work on the Global Financial Development Report 2015/2016: Long-Term Finance. It contains 39 indicators of financial development in 202 economies, including measures of (1) financial depth, (2) access, (3) efficiency, and (4) stability of financial institutions and markets. Additional variables, historical observations, and links to underlying research are available at www.worldbank.org/financialdevelopment.
The second issue in a new series, Global Financial Development Report 2014 takes a step back and re-examines financial inclusion from the perspective of new global datasets and new evidence. It builds on a critical mass of new research and operational work produced by World Bank Group staff as well as outside researchers and contributors.
Seventeen in a series of annual reports comparing business regulation in 190 economies, Doing Business 2020 measures aspects of regulation affecting 10 areas of everyday business activity.
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.