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Environmental performance, corruption and economic growth: global evidence using a new data set

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  • Chun-Ping Chang
  • Yu Hao

Abstract

This study investigates the relationship between environmental performance, corruption and economic growth using panel data of 87 countries covering the period from 2002 to 2012. The Environmental Performance Index is used for the first time to evaluate the environmental quality on economic growth. By employing both ‘static’ and ‘dynamic’ panel models, we find that environmental performance is positively related to economic growth and is more significant in non-Organization for Economic Cooperation Development (OECD) countries. Moreover, when corruption is incorporated, the empirical estimation results indicate that although lower corruption helps economic growth in non-OECD countries, the negative coefficients of the three interactive terms show that the positive effect of environment performance on economic growth will drop, while greater environmental performance combined with natural resource abundance inevitably leads to inefficient bureaucracies and hence disadvantageous economic growth. As a result, policymakers in non-OECD countries should carefully ensure better government quality when they exhibit strong environmental performance so as to avoid any disadvantageous impact upon economic growth.

Suggested Citation

  • Chun-Ping Chang & Yu Hao, 2017. "Environmental performance, corruption and economic growth: global evidence using a new data set," Applied Economics, Taylor & Francis Journals, vol. 49(5), pages 498-514, January.
  • Handle: RePEc:taf:applec:v:49:y:2017:i:5:p:498-514
    DOI: 10.1080/00036846.2016.1200186
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    Cited by:

    1. Madhu Sehrawat & Sanjay Kumar Singh, 2021. "Do Corruption and Income Inequality Play Spoilsport in The Energy Efficiency-Growth Relationship in BRICS Countries?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 727-746, December.
    2. Gen-Fu Feng & Bo Sui & Min-Yi Dong & Chun-xia Jiang & Chun-Ping Chang, 2018. "Border is better than distance? Contagious corruption in one belt one road economies," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1909-1928, July.
    3. Gründler, Klaus & Potrafke, Niklas, 2019. "Corruption and economic growth: New empirical evidence," European Journal of Political Economy, Elsevier, vol. 60(C).
    4. Ren, Yi-Shuai & Ma, Chao-Qun & Apergis, Nicholas & Sharp, Basil, 2021. "Responses of carbon emissions to corruption across Chinese provinces," Energy Economics, Elsevier, vol. 98(C).
    5. Cheng Peng & Dianzhuang Feng & Hai Long, 2022. "Assessing the Contribution of Natural Gas Exploitation to the Local Economic Growth in China," Energies, MDPI, vol. 15(16), pages 1-17, August.
    6. Wang, Jun-Zhuo & Feng, Gen-Fu & Yin, Hua-Tang & Chang, Chun-Ping, 2023. "Toward sustainable development: Does the rising oil price stimulate innovation in climate change mitigation technologies?," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 569-583.
    7. Cieślik, Andrzej & Goczek, Łukasz, 2018. "Control of corruption, international investment, and economic growth – Evidence from panel data," World Development, Elsevier, vol. 103(C), pages 323-335.
    8. Dokas, Ioannis & Panagiotidis, Minas & Papadamou, Stephanos & Spyromitros, Eleftherios, 2023. "Does innovation affect the impact of corruption on economic growth? International evidence," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1030-1054.
    9. Lejla Terzić, 2023. "Why is the transition to a green economy important for achieving sustainability? A review of some theoretical approaches and empirical research presented in the literature," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 307-332.
    10. Ang, Joshua Ping & Dong, Fang, 2023. "Middle-income trap and corruption: Evidence from a dynamic panel data analysis," Research in Economics, Elsevier, vol. 77(3), pages 349-361.
    11. Busra Agan & Mehmet Balcilar, 2023. "Unraveling the Green Growth Matrix: Exploring the Impact of Green Technology, Climate Change Adaptation, and Macroeconomic Factors on Sustainable Development," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    12. Zhuohang Li & Tao Shen & Yifen Yin & Hsing Hung Chen, 2022. "Innovation Input, Climate Change, and Energy-Environment-Growth Nexus: Evidence from OECD and Non-OECD Countries," Energies, MDPI, vol. 15(23), pages 1-19, November.
    13. Krifa-Schneider, Hadjila & Matei, Iuliana & Sattar, Abdul, 2022. "FDI, corruption and financial development around the world: A panel non-linear approach," Economic Modelling, Elsevier, vol. 110(C).
    14. Afonso, Oscar & Bandeira, Ana Maria & Lima, Pedro G., 2022. "Growth and welfare effects of corruption penalties," Economic Systems, Elsevier, vol. 46(3).
    15. Rui Zhou, 2022. "Measurement and Spatial-Temporal Characteristics of Inclusive Green Growth in China," Land, MDPI, vol. 11(8), pages 1-36, July.
    16. Hui Hu & Weijun Ran & Yuchen Wei & Xiang Li, 2020. "Do Energy Resource Curse and Heterogeneous Curse Exist in Provinces? Evidence from China," Energies, MDPI, vol. 13(17), pages 1-26, August.
    17. Shi Wang & Yizhou Yuan & Hua Wang, 2019. "Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data," IJERPH, MDPI, vol. 16(16), pages 1-23, August.
    18. Zheng, Mingbo & Feng, Gen-Fu & Jang, Chyi-Lu & Chang, Chun-Ping, 2021. "Terrorism and green innovation in renewable energy," Energy Economics, Elsevier, vol. 104(C).
    19. Shi Wang & Hua Wang & Qian Sun, 2020. "The Impact of Foreign Direct Investment on Environmental Pollution in China: Corruption Matters," IJERPH, MDPI, vol. 17(18), pages 1-20, September.
    20. Tetyana Vasylieva & Oleksii Lyulyov & Yuriy Bilan & Dalia Streimikiene, 2019. "Sustainable Economic Development and Greenhouse Gas Emissions: The Dynamic Impact of Renewable Energy Consumption, GDP, and Corruption," Energies, MDPI, vol. 12(17), pages 1-12, August.
    21. Ana-Maria Bercu & Gigel Paraschiv & Dan Lupu, 2019. "Investigating the Energy–Economic Growth–Governance Nexus: Evidence from Central and Eastern European Countries," Sustainability, MDPI, vol. 11(12), pages 1-21, June.

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