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Global Dynamics of Environmental Kuznets Curve: A Cross-Correlation Analysis of Income and CO 2 Emissions

Author

Listed:
  • Dora Almeida

    (Department of Economic and Organizational Sciences, Portalegre Polytechnic University, Praça do Município, 11, 7300-110 Portalegre, Portugal
    VALORIZA—Research Centre for Endogenous Resource Valorization, 7300-555 Portalegre, Portugal
    CEFAGE, IIFA—Center for Advanced Studies in Management and Economics, Universidade de Évora, Palácio do Vimioso, Largo Marquês de Marialva nº 8, 7000-809 Évora, Portugal)

  • Luísa Carvalho

    (Department of Economic and Organizational Sciences, Portalegre Polytechnic University, Praça do Município, 11, 7300-110 Portalegre, Portugal
    CARE—Research Center on Health and Social Sciences, 7300-555 Portalegre, Portugal
    CIEP—Centre for Research in Education and Psychology, Colégio Pedro da Fonseca, Universidade de Évora, Apartado 94, 7002-554 Évora, Portugal)

  • Paulo Ferreira

    (Department of Economic and Organizational Sciences, Portalegre Polytechnic University, Praça do Município, 11, 7300-110 Portalegre, Portugal
    VALORIZA—Research Centre for Endogenous Resource Valorization, 7300-555 Portalegre, Portugal
    CEFAGE, IIFA—Center for Advanced Studies in Management and Economics, Universidade de Évora, Palácio do Vimioso, Largo Marquês de Marialva nº 8, 7000-809 Évora, Portugal)

  • Andreia Dionísio

    (CEFAGE, IIFA—Center for Advanced Studies in Management and Economics, Universidade de Évora, Palácio do Vimioso, Largo Marquês de Marialva nº 8, 7000-809 Évora, Portugal)

  • Inzamam Ul Haq

    (Business School, Liaoning University, Shenyang 110036, China)

Abstract
The environmental Kuznets curve (EKC) hypothesis posits an inverted U-shaped relationship between economic growth and environmental degradation. However, there is no consensus regarding the EKC hypothesis among countries and regions of different income groups. This study revisits the EKC hypothesis by employing cross-correlation analysis to explore the income–CO 2 emissions relationship across 158 countries and 44 regions from 1990 to 2020. The empirical method utilizes a dynamic cross-correlation coefficient (CCC) approach, allowing for the assessment of lead-lag dynamics between income and CO 2 emissions over time. By categorizing nations into the World Bank’s income classifications, we found a heterogeneous EKC pattern highlighting distinct environmental–economic dynamics across different income groups. The findings indicate that high-income countries show a decoupling of economic growth from CO 2 emissions; whereas, low-income countries still exhibit a positive correlation between both variables. This underscores the necessity for tailored policy interventions that promote carbon neutrality, while considering each country’s unique development stage. Our research contributes to the ongoing issue of sustainable economic development by providing empirical evidence of the different pathways nations follow in balancing growth with environmental preservation.

Suggested Citation

  • Dora Almeida & Luísa Carvalho & Paulo Ferreira & Andreia Dionísio & Inzamam Ul Haq, 2024. "Global Dynamics of Environmental Kuznets Curve: A Cross-Correlation Analysis of Income and CO 2 Emissions," Sustainability, MDPI, vol. 16(20), pages 1-35, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:9089-:d:1502726
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