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The impact of economic factors and governance on greenhouse gas emission

Author

Listed:
  • Marzieh Ronaghi

    (Mashhad Ferdowsi University
    University of Kentucky)

  • Michael Reed

    (University of Kentucky)

  • Sayed Saghaian

    (University of Kentucky)

Abstract

Governance is a basic factor explaining the poor economic, social and environmental performance of many developing countries. Since good governance impacts the environment and management of carbon emissions, in this study, we examine the relationship between governance and economic performance and its impact on CO2 emissions, employing the World Bank’s Aggregate Governance Indicators. To this end, data from Organization of the Petroleum Exporting Countries over 8 years (from 2006 to 2015) is analyzed through spatial econometric techniques for panel data. The results show that the governance index (with a negative sign) and GDP growth variable (with a positive sign) have the greatest impact on carbon dioxide emissions. The inflation rate, exports, imports, foreign investment, and employment also have an impact on CO2 emissions. The policy recommendations of this research are that governments can help protect the environment by adopting better governance practices, improving the governance structure, and implementing a clean technology strategy in production to reduce greenhouse gas emissions.

Suggested Citation

  • Marzieh Ronaghi & Michael Reed & Sayed Saghaian, 2020. "The impact of economic factors and governance on greenhouse gas emission," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(2), pages 153-172, April.
  • Handle: RePEc:spr:envpol:v:22:y:2020:i:2:d:10.1007_s10018-019-00250-w
    DOI: 10.1007/s10018-019-00250-w
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    Cited by:

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    2. Xing, Chao & Zhang, Yuming & Tripe, David, 2021. "Green credit policy and corporate access to bank loans in China: The role of environmental disclosure and green innovation," International Review of Financial Analysis, Elsevier, vol. 77(C).
    3. Nestor Shpak & Solomiya Ohinok & Ihor Kulyniak & Włodzimierz Sroka & Yuriy Fedun & Romualdas Ginevičius & Joanna Cygler, 2022. "CO 2 Emissions and Macroeconomic Indicators: Analysis of the Most Polluted Regions in the World," Energies, MDPI, vol. 15(8), pages 1-22, April.
    4. Shah, Syed Ale Raza & Naqvi, Syed Asif Ali & Riaz, Sabahat & Anwar, Sofia & Abbas, Nasir, 2020. "Nexus of biomass energy, key determinants of economic development and environment: A fresh evidence from Asia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    5. Algaba, E. & Márquez, G. & Martínez-Lozano, J. & Sánchez-Soriano, J., 2023. "A novel methodology for public management of annual greenhouse gas emissions in the European Union," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    6. Meng, Xia & Ding, Tao & Wang, Haisen, 2023. "Incentives for local government expenditures on people’s livelihood: the role of high-speed rail," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).

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    More about this item

    Keywords

    Carbon dioxide; Governance; Spatial panel model;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • F30 - International Economics - - International Finance - - - General
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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