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The impact of corruption on green innovation: the case of OECD and non-OECD countries

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  • Abdulrasheed Zakari
  • Vincent Tawiah
  • Babajide Oyewo
  • Rafael Alvarado

Abstract

This study examines the effect of corruption on green innovation. We employed a panel corrected standard error (PCSE) and robust checking system generalized moment of method (S-GMM) model on a panel sample of 61 OECD and non-OECD countries between 2010 and 2018. Our results show that corruption is significant and positively related to green innovation in 61 countries. Similarly, we find that corruption has an increasing impact on green innovation in non-OECD countries. However, in OECD countries, corruption reduces the likelihood of attaining green innovation. Our results are robust to alternative estimation. Therefore, our results extend the green innovation literature and informed policymakers of the need to pay attention to the effect of corruption.

Suggested Citation

  • Abdulrasheed Zakari & Vincent Tawiah & Babajide Oyewo & Rafael Alvarado, 2023. "The impact of corruption on green innovation: the case of OECD and non-OECD countries," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 66(6), pages 1336-1368, May.
    • Handle: RePEc:taf:jenpmg:v:66:y:2023:i:6:p:1336-1368
    DOI: 10.1080/09640568.2022.2027234
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    Cited by:

    1. Yu, Zhichao & Youn, Ik Joong & Alessa, Noha & Borgi, Hela, 2023. "Does natural-resource-dependency create the need of green innovation?," Resources Policy, Elsevier, vol. 85(PA).
    2. Wei, Xiaolin & Shang, Yunfeng, 2023. "Modernization of governance at Chinese universities: Role of fossil fuels and green energy resource," Resources Policy, Elsevier, vol. 85(PB).
    3. Li, Zengrong & Wu, Yanqiu & Rasoulinezhad, Ehsan & Sheng, Yishen & Bi, Chunyu, 2023. "Green economic recovery in central Asia by utilizing natural resources," Resources Policy, Elsevier, vol. 83(C).
    4. Hu, Xiaofeng, 2023. "Green economic recovery in Central Asia by utilizing natural resources," Resources Policy, Elsevier, vol. 83(C).
    5. Chao Wang & Jingfeng Zhang & Ming Zhang, 2023. "Utilizing mutual learning in literature and cultural industry finance in order to realise green economic recovery and sustainability," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-7, December.
    6. Jiang, Zhengyu & Zhang, Xinyi & Zhao, Yingzhi & Li, Chengming & Wang, Zeyu, 2023. "The impact of urban digital transformation on resource sustainability: Evidence from a quasi-natural experiment in China," Resources Policy, Elsevier, vol. 85(PA).

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