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The effect of urbanization on environmental emissions: Evidence from a meta-analysis

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  • Afesorgbor, Sylvanus Kwaku
  • Demena, Binyam Afewerk

Abstract

The growing trend of urbanization has important environmental implications, as it is often associated with rising emissions. In theory, urbanization can affect the environment in both beneficial and adverse ways. On the one hand, it can increase energy demand, contributing to environmental harm. Urban-driven economic growth can lead to increased energy consumption, potentially exacerbating environmental degradation. On the other hand, urbanization has the potential to mitigate environmental harm by fostering agglomeration effects, economies of scale, improved education, technological innovation, and the development of sustainable infrastructure. Empirical studies on the relationship between urbanization and emissions present mixed results, consistent with the theory. To address heterogeneity across empirical studies, we conducted a meta-analysis of 172 studies, resulting in 1598 effect sizes. Our funnel asymmetric test and precision effect test (FAT-PET) analysis suggests publication bias in previous research, but we do not find an overall significant effect of urbanization on emissions. However, when we disaggregated studies by region, we found that urbanization decreases emissions in Latin America, whereas it has no significant impact in Africa, Asia, and the West.

Suggested Citation

  • Afesorgbor, Sylvanus Kwaku & Demena, Binyam Afewerk, 2026. "The effect of urbanization on environmental emissions: Evidence from a meta-analysis," Resource and Energy Economics, Elsevier, vol. 86(C).
  • Handle: RePEc:eee:resene:v:86:y:2026:i:c:s0928765526000229
    DOI: 10.1016/j.reseneeco.2026.101573
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    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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