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            Economic Growth and Poverty Reduction in Colombia

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            Author(s)
            Cardozo Silva, Adriana Rocío
            Language
            English
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            Abstract
            This book analyses the distributional effects of economic growth on different dimensions of poverty in Colombia. It provides a microeconomic perspective on how economic growth affected poverty and inequality at the household level, as well as a macroeconomic perspective on the effects of growth on regional living standards. The study incorporates recent discussions on multidimensional analysis of well-being and goes beyond traditional income based measures, thereby contributing to the ongoing research on how to measure pro-poor growth and on the importance of incorporating different dimensions of well-being in convergence analysis.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/194525
            Keywords
            Cardozo; Colombia; Convergence; Economic; Growth; Growth; Poverty; Poverty; Pro-poor Growth; Reduction; Silva; Social Indicators; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPH Political structure and processes; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCB Macroeconomics::KCBM Monetary economics; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCG Economic growth; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCS Economic systems and structures
            DOI
            10.3726/978-3-653-00274-4
            ISBN
            9783653002744
            Publisher
            Peter Lang International Academic Publishing Group
            Publication date and place
            Bern, 2010-11-23
            Series
            Goettinger Studien zur Entwicklungsoekonomik / Goettingen Studies in Development Economics,
            Pages
            218
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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