Classifications of Countries Based on Their Level of Development: How it is Done and How it Could Be Done
By Lynge Nielsen. Social Science Research Network, 2011
308 citations recorded by the source corpus.
The paper analyzes how the UNDP, the World Bank, and the IMF classify countries based on their level of development. These systems are found lacking in clarity with regard to their underlying rationale. The paper argues that a country classification system based on a transparent, data-driven methodology is preferable to one based on judgment or ad hoc rules. Such an alternative methodology is developed and used to construct classification systems using a variety of proxies for development attainment.
Subfields: Development, Finance, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/5b396abc96bfef9849199015f4744bf1b6f352cc
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Citations in the corpus
- Public debt and economic growth: panel data evidence for Asian countries (2020, background): “1 Republic of Korea and Singapore are classified as high-income countries since 1997 (Nielsen 2011)”
- The World Bank's Classification of Countries by Income (2016, methodology): “For example, Nielsen (2011) and Vázquez and Sumner (2012 and 2014) consider the use of measures of poverty, inequality, and human development.”
- Corporate Social Responsibility in Developing Countries as an Emerging Field of Study (2018, unknown): “This taxonomy, is data-driven, relative and based on the widely used standards of the United Nations Development Programme, World Bank and International Monetary Fund (see Nielsen 2011).”