Nonrenewable Resources, Income Inequality and Per Capita GDP : An Empirical Analysis

This analysis examines the relationship between nonrenewable resource dependence, economic growth and income inequality. It uses a two-equation system in which the Gini index and GDP per capita are the dependent variables and the stock of nonrenewa...

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Main Authors: Scognamillo, Antonio, Mele, Gianluca, Sensini, Luca
Format: Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2016
Subjects:
Online Access:http://documents.worldbank.org/curated/en/2016/09/26805462/nonrenewable-resources-income-inequality-capita-gdp-empirical-analysis
http://hdl.handle.net/10986/25147
id okr-10986-25147
recordtype oai_dc
spelling okr-10986-251472021-04-23T14:04:29Z Nonrenewable Resources, Income Inequality and Per Capita GDP : An Empirical Analysis Scognamillo, Antonio Mele, Gianluca Sensini, Luca natural capital nonrenewable resources economic growth inequality income distribution This analysis examines the relationship between nonrenewable resource dependence, economic growth and income inequality. It uses a two-equation system in which the Gini index and GDP per capita are the dependent variables and the stock of nonrenewable resources as a share of national wealth -- i.e. resource dependence -- is the independent variable. Using a dataset that includes information on 43 countries from 1980 to 2012, this paper estimates several model specifications in order to check the robustness of the results under different assumptions and to account for income-group-related heterogeneity among countries. The baseline model provides strong evidence that natural resource dependence is negatively correlated with both per capita GDP and the Gini index; in other words, resource dependence is associated with lower income levels, but also with a more equal distribution of income. Interestingly, however, after controlling for country income group, the sign and magnitude of these relationships appear to become dependent on national-level structural characteristics. Among higher-income countries, greater nonrenewable natural resource dependence is associated with lower income inequality, while there is no statistically significant correlation with GDP per capita. Among the lower-income group, greater dependence on nonrenewable natural resources is associated with both higher levels of income inequality and lower per capita GDP. Further analysis focusing on a subsample of non-renewable resource rich countries confirms these findings. 2016-10-13T19:27:48Z 2016-10-13T19:27:48Z 2016-09 Working Paper http://documents.worldbank.org/curated/en/2016/09/26805462/nonrenewable-resources-income-inequality-capita-gdp-empirical-analysis http://hdl.handle.net/10986/25147 English en_US Policy Research Working Paper;No. 7831 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
en_US
topic natural capital
nonrenewable resources
economic growth
inequality
income distribution
spellingShingle natural capital
nonrenewable resources
economic growth
inequality
income distribution
Scognamillo, Antonio
Mele, Gianluca
Sensini, Luca
Nonrenewable Resources, Income Inequality and Per Capita GDP : An Empirical Analysis
relation Policy Research Working Paper;No. 7831
description This analysis examines the relationship between nonrenewable resource dependence, economic growth and income inequality. It uses a two-equation system in which the Gini index and GDP per capita are the dependent variables and the stock of nonrenewable resources as a share of national wealth -- i.e. resource dependence -- is the independent variable. Using a dataset that includes information on 43 countries from 1980 to 2012, this paper estimates several model specifications in order to check the robustness of the results under different assumptions and to account for income-group-related heterogeneity among countries. The baseline model provides strong evidence that natural resource dependence is negatively correlated with both per capita GDP and the Gini index; in other words, resource dependence is associated with lower income levels, but also with a more equal distribution of income. Interestingly, however, after controlling for country income group, the sign and magnitude of these relationships appear to become dependent on national-level structural characteristics. Among higher-income countries, greater nonrenewable natural resource dependence is associated with lower income inequality, while there is no statistically significant correlation with GDP per capita. Among the lower-income group, greater dependence on nonrenewable natural resources is associated with both higher levels of income inequality and lower per capita GDP. Further analysis focusing on a subsample of non-renewable resource rich countries confirms these findings.
format Working Paper
author Scognamillo, Antonio
Mele, Gianluca
Sensini, Luca
author_facet Scognamillo, Antonio
Mele, Gianluca
Sensini, Luca
author_sort Scognamillo, Antonio
title Nonrenewable Resources, Income Inequality and Per Capita GDP : An Empirical Analysis
title_short Nonrenewable Resources, Income Inequality and Per Capita GDP : An Empirical Analysis
title_full Nonrenewable Resources, Income Inequality and Per Capita GDP : An Empirical Analysis
title_fullStr Nonrenewable Resources, Income Inequality and Per Capita GDP : An Empirical Analysis
title_full_unstemmed Nonrenewable Resources, Income Inequality and Per Capita GDP : An Empirical Analysis
title_sort nonrenewable resources, income inequality and per capita gdp : an empirical analysis
publisher World Bank, Washington, DC
publishDate 2016
url http://documents.worldbank.org/curated/en/2016/09/26805462/nonrenewable-resources-income-inequality-capita-gdp-empirical-analysis
http://hdl.handle.net/10986/25147
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