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Power infrastructure and income inequality: Evidence from Brazilian state-level data using dynamic panel data models

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  • Medeiros, Victor
  • Ribeiro, Rafael Saulo Marques

Abstract

A broad literature has indicated the essential role of power infrastructure in reducing income inequality. However, it is uncertain whether this relationship remains in scenarios with heterogeneities in terms of provision, quality, and access to electricity. This article intends to contribute to the literature by evaluating, in light of the Brazilian reality, how provision, quality, and the interaction between these two characteristics affects income inequality. To account for possible reverse causality problems, we apply the Generalized Method of Moments (GMM) estimators with different specifications to verify the robustness of our estimates. In a scenario where the vast majority of the population has access to electricity, our findings indicate that an expansion in power provision reduces income inequality. Nonetheless, the higher the power infrastructure quality, the smaller the returns of a growing power supply to the reduction of inequality, thus suggesting that richer populations tend to benefit the most from improvements in power quality.

Suggested Citation

  • Medeiros, Victor & Ribeiro, Rafael Saulo Marques, 2020. "Power infrastructure and income inequality: Evidence from Brazilian state-level data using dynamic panel data models," Energy Policy, Elsevier, vol. 146(C).
  • Handle: RePEc:eee:enepol:v:146:y:2020:i:c:s0301421520304602
    DOI: 10.1016/j.enpol.2020.111734
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    Cited by:

    1. Huang, Ruting & Yao, Xin, 2023. "The role of power transmission infrastructure in income inequality: Fresh evidence from China," Energy Policy, Elsevier, vol. 177(C).
    2. Victor Medeiros & Rafael Saulo Marques Ribeiro & Pedro Vasconscelos Maia do Amaral, 2022. "Infrastructure and income inequality: An application to the Brazilian case using hierarchical spatial autoregressive models," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1467-1486, November.
    3. Bovick Wandja Yemba & Rafael S. M. Ribeiro & Victor Medeiros, 2020. "Infrastructure and manufacturing in Sub-Saharan Africa: An empirical analysis using dynamic panel data models," PSL Quarterly Review, Economia civile, vol. 73(294), pages 261-276.
    4. Acheampong, Alex O. & Opoku, Eric Evans Osei & Dzator, Janet & Kufuor, Nana Kwabena, 2022. "Enhancing human development in developing regions: Do ICT and transport infrastructure matter?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

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    More about this item

    Keywords

    Power infrastructure; Income inequality; Infrastructure heterogeneities; Brazil; Econometrics;
    All these keywords.

    JEL classification:

    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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