The role of natural resource endowments in socio-economic development has sparked an enormous interest. One research area that could be pursued is the impact of natural resources on income inequality. Based on a meta-analytic review, this study examines 688 estimates reported by 40 primary studies to quantitatively synthesize the natural resources-income inequality literature. We find that there is no evidence of publication bias or a significant genuine average effect, but the estimates range substantially across studies. We employ the multilevel mixed-effects model and shrinkage approaches, particularly the LASSO and Elastic Net to find the driving forces of heterogeneity in the reported estimates. The meta-regression results link this heterogeneity mainly to the measurement of natural resources and income inequality, the specified regression model, the data structure, and the development level of the country (or group of countries) on which the study was conducted. Such study conclusions would serve as a good starting point for researchers and decision-makers alike before embarking upon carrying out future researches and policies, respectively.
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Bournemouth Univ, Dorset House D129,Dorset House,Talbot Campus, Poole BH12 5BB, Dorset, England
Kozminski Univ, Warsaw, PolandBournemouth Univ, Dorset House D129,Dorset House,Talbot Campus, Poole BH12 5BB, Dorset, England
Hartwell, Christopher A.
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Horvath, Roman
Horvathova, Eva
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Czech Acad Sci, Global Change Res Inst, Prague, Czech RepublicBournemouth Univ, Dorset House D129,Dorset House,Talbot Campus, Poole BH12 5BB, Dorset, England
Horvathova, Eva
Popova, Olga
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Leibniz Inst East & Southeast European Studies IO, Regensburg, Germany
CERGE EI, Prague, Czech Republic
Ural Fed Univ, Grad Sch Econ & Management, Ekaterinburg, RussiaBournemouth Univ, Dorset House D129,Dorset House,Talbot Campus, Poole BH12 5BB, Dorset, England