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Does corruption hurt green innovation? Yes – Global evidence from cross-validation

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  • Wen, Jun
  • Yin, Hua-Tang
  • Jang, Chyi-Lu
  • Uchida, Hideaki
  • Chang, Chun-Ping

Abstract

Green innovation is essential for human beings to balance growth and climate change mitigation. The corruption-green innovation nexus has been studied by two existing studies, but the relative weak econometrical work and the lack of exploration in the context of inter-government cooperation on global climate change call for a revisited investigation. Our research robustly tests and confirms that corruption has a significantly negative effect on green innovation, which overturns the opposing conclusion of the previous global examination. Moreover, we find that the signing of international environmental agreements (IEAs) mitigates corruption's negative effect in the short term, whereas IEA's entry into force deteriorates this hindering impact in the long term. Such a divergence may originate from a change in the expectation of economic entities in the government's enforcement quality of environment policies issued for meeting IEA's emission target. Lastly, we provide several suggestions for dealing with climate change more effectively from the perspective of global governance.

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  • Wen, Jun & Yin, Hua-Tang & Jang, Chyi-Lu & Uchida, Hideaki & Chang, Chun-Ping, 2023. "Does corruption hurt green innovation? Yes – Global evidence from cross-validation," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    • Handle: RePEc:eee:tefoso:v:188:y:2023:i:c:s0040162522008344
    DOI: 10.1016/j.techfore.2022.122313
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    as
    1. Holmstrom, Bengt, 1989. "Agency costs and innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 12(3), pages 305-327, December.
    2. Gründler, Klaus & Potrafke, Niklas, 2019. "Corruption and economic growth: New empirical evidence," European Journal of Political Economy, Elsevier, vol. 60(C).
    3. Qu, Guangjun & Slagter, Bob & Sylwester, Kevin & Doiron, Kyle, 2019. "Explaining the standard errors of corruption perception indices," Journal of Comparative Economics, Elsevier, vol. 47(4), pages 907-920.
    4. Daisuke Maruichi & Masato Abe, 2019. "Corruption and the business environment in Vietnam: Implications from an empirical study," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 6(2), pages 222-245, May.
    5. 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).
    6. Aidt, Toke & Dutta, Jayasri & Sena, Vania, 2008. "Governance regimes, corruption and growth: Theory and evidence," Journal of Comparative Economics, Elsevier, vol. 36(2), pages 195-220, June.
    7. Song, Chang-Qing & Chang, Chun-Ping & Gong, Qiang, 2021. "Economic growth, corruption, and financial development: Global evidence," Economic Modelling, Elsevier, vol. 94(C), pages 822-830.
    8. Chen, Yongmin & Puttitanun, Thitima, 2005. "Intellectual property rights and innovation in developing countries," Journal of Development Economics, Elsevier, vol. 78(2), pages 474-493, December.
    9. David Popp, 2012. "The Role of Technological Change in Green Growth," NBER Working Papers 18506, National Bureau of Economic Research, Inc.
    10. Galeotti, Marzio & Salini, Silvia & Verdolini, Elena, 2020. "Measuring environmental policy stringency: Approaches, validity, and impact on environmental innovation and energy efficiency," Energy Policy, Elsevier, vol. 136(C).
    11. Voigt, Stefan & Gutmann, Jerg, 2013. "Turning cheap talk into economic growth: On the relationship between property rights and judicial independence," Journal of Comparative Economics, Elsevier, vol. 41(1), pages 66-73.
    12. d’Agostino, Giorgio & Dunne, J. Paul & Pieroni, Luca, 2016. "Government Spending, Corruption and Economic Growth," World Development, Elsevier, vol. 84(C), pages 190-205.
    13. Syed Muhammad Imran & Hafeez Ur Rehman & Rana Ejaz Ali Khan, 2020. "Effect of corruption on firm level innovation: Evidence from Pakistan," Economics and Business Letters, Oviedo University Press, vol. 9(1), pages 41-47.
    14. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    15. Peizhi Zhao & Yuyan Wang, 2022. "How Does Economic Policy Uncertainty Affect Momentum Returns? Evidence from China," IJFS, MDPI, vol. 10(3), pages 1-18, July.
    16. Faber, Gerrit & Gerritse, Michiel, 2012. "Foreign determinants of local institutions: Spatial dependence and openness," European Journal of Political Economy, Elsevier, vol. 28(1), pages 54-63.
    17. Han Long & Chun-Ping Chang & Sujeetha Jegajeevan & Kai Tang, 2022. "Can Central Bank Mitigate the Effects of the COVID-19 Pandemic on the Macroeconomy?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(9), pages 2652-2669, July.
    18. Yang, Zhenbing & Shao, Shuai & Fan, Meiting & Yang, Lili, 2021. "Wage distortion and green technological progress: A directed technological progress perspective," Ecological Economics, Elsevier, vol. 181(C).
    19. Pierre-Guillaume Méon & Khalid Sekkat, 2005. "Does corruption grease or sand the wheels of growth?," Public Choice, Springer, vol. 122(1), pages 69-97, January.
    20. Su, Chi-Wei & Pang, Li-Dong & Tao, Ran & Shao, Xuefeng & Umar, Muhammad, 2022. "Renewable energy and technological innovation: Which one is the winner in promoting net-zero emissions?," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    21. Chen, Yin-E & Li, Chunyan & Chang, Chun-Ping & Zheng, Mingbo, 2021. "Identifying the influence of natural disasters on technological innovation," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 22-36.
    22. Holmström, Bengt, 1989. "Agency Costs and Innovation," Working Paper Series 214, Research Institute of Industrial Economics.
    23. Francis, Bill B. & Hasan, Iftekhar & Sun, Xian, 2009. "Political connections and the process of going public: evidence from China," Bank of Finland Research Discussion Papers 7/2009, Bank of Finland.
    24. Feng, Gen-Fu & Yang, Hao-Chang & Gong, Qiang & Chang, Chun-Ping, 2021. "What is the exchange rate volatility response to COVID-19 and government interventions?," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 705-719.
    25. Becker, Sascha O. & Egger, Peter H. & Seidel, Tobias, 2009. "Common political culture: Evidence on regional corruption contagion," European Journal of Political Economy, Elsevier, vol. 25(3), pages 300-310, September.
    26. Hai-Jie Wang & Kang an & Mingbo Zheng, 2021. "Who has done a better job in fighting the COVID-19 epidemic? Left or Right?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(8), pages 2415-2425, June.
    27. Zhao, Xin-Xin & Zheng, Mingbo & Fu, Qiang, 2022. "How natural disasters affect energy innovation? The perspective of environmental sustainability," Energy Economics, Elsevier, vol. 109(C).
    28. Gu, Yan & Ho, Kung-Cheng & Yan, Cheng & Gozgor, Giray, 2021. "Public environmental concern, CEO turnover, and green investment: Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 100(C).
    29. Lu, Zhou & Mahalik, Mantu Kumar & Mahalik, Hrushikesh & Zhao, Rui, 2022. "The moderating effects of democracy and technology adoption on the relationship between trade liberalisation and carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    30. Dogan, Eyup & Chishti, Muhammad Zubair & Karimi Alavijeh, Nooshin & Tzeremes, Panayiotis, 2022. "The roles of technology and Kyoto Protocol in energy transition towards COP26 targets: Evidence from the novel GMM-PVAR approach for G-7 countries," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    31. Gründler, Klaus & Krieger, Tommy, 2016. "Democracy and growth: Evidence from a machine learning indicator," European Journal of Political Economy, Elsevier, vol. 45(S), pages 85-107.
    32. Laura Langbein & Stephen Knack, 2010. "The Worldwide Governance Indicators: Six, One, or None?," Journal of Development Studies, Taylor & Francis Journals, vol. 46(2), pages 350-370.
    33. Haiqing Hu & Di Chen & Qiang Fu, 2022. "Does a Government Response to COVID-19 Hurt the Stock Price of an Energy Enterprise?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(1), pages 1-10, January.
    34. Herman, Kyle S. & Xiang, Jun, 2019. "Induced innovation in clean energy technologies from foreign environmental policy stringency?," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 198-207.
    35. repec:zbw:bofrdp:2009_007 is not listed on IDEAS
    36. Wen, Jun & Zhao, Xin-Xin & Chang, Chun-Ping, 2021. "The impact of extreme events on energy price risk," Energy Economics, Elsevier, vol. 99(C).
    37. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    38. Yang, Zhenbing & Shao, Shuai & Li, Chengyu & Yang, Lili, 2020. "Alleviating the misallocation of R&D inputs in China's manufacturing sector: From the perspectives of factor-biased technological innovation and substitution elasticity," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    39. M A Thomas, 2010. "What Do the Worldwide Governance Indicators Measure?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 22(1), pages 31-54, February.
    40. Jun Wen & Mingbo Zheng & Gen-Fu Feng & Sunwu Winfred Chen & Chun-Ping Chang, 2020. "Corruption And Innovation: Linear And Nonlinear Investigations Of Oecd Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(01), pages 103-129, March.
    41. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    42. Ren, Xiaohang & Zhang, Xiao & Yan, Cheng & Gozgor, Giray, 2022. "Climate policy uncertainty and firm-level total factor productivity: Evidence from China," Energy Economics, Elsevier, vol. 113(C).
    43. Song, Yuegang & Zhang, Bicheng & Wang, Jianhua & Kwek, Keh, 2022. "The impact of climate change on China's agricultural green total factor productivity," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    44. Loungani, Prakash & Sheets, Nathan, 1997. "Central Bank Independence, Inflation, and Growth in Transition Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(3), pages 381-399, August.
    45. Ellis, Jesse & Smith, Jared & White, Roger, 2020. "Corruption and Corporate Innovation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(7), pages 2124-2149, November.
    46. Wang, Quan-Jing & Feng, Gen-Fu & Wang, Hai-Jie & Chang, Chun-Ping, 2021. "The impacts of democracy on innovation: Revisited evidence," Technovation, Elsevier, vol. 108(C).
    47. Ciocchini, Francisco & Durbin, Erik & Ng, David T. C., 2003. "Does corruption increase emerging market bond spreads?," Journal of Economics and Business, Elsevier, vol. 55(5-6), pages 503-528.
    48. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    49. Chun-Ping Chang & Gen-Fu Feng & Mingbo Zheng, 2021. "Government Fighting Pandemic, Stock Market Return, and COVID-19 Virus Outbreak," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(8), pages 2389-2406, June.
    50. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    51. Yuna Heo & Fangfang Hou & Seongkyu Gilbert Park, 2021. "Does corruption grease or sand the wheels of investment or innovation? Different effects in advanced and emerging economies," Applied Economics, Taylor & Francis Journals, vol. 53(1), pages 35-60, January.
    52. Yin, Hua-Tang & Wen, Jun & Chang, Chun-Ping, 2022. "Science-technology intermediary and innovation in China: Evidence from State Administration for Market Regulation, 2000–2019," Technology in Society, Elsevier, vol. 68(C).
    53. Zhu, Chen & Lee, Chien-Chiang, 2022. "The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    54. Hussain, Jafar & Lee, Chien-Chiang & Chen, Yongxiu, 2022. "Optimal green technology investment and emission reduction in emissions generating companies under the support of green bond and subsidy," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    55. Xiaming Liu & Haiyan Song & Yingqi Wei & Peter Romilly, 1997. "Country characteristics and foreign direct investment in China: A panel data analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(2), pages 313-329, June.
    56. Murphy, Kevin M & Shleifer, Andrei & Vishny, Robert W, 1993. "Why Is Rent-Seeking So Costly to Growth?," American Economic Review, American Economic Association, vol. 83(2), pages 409-414, May.
    57. Ratbek Dzhumashev, 2014. "The Two-Way Relationship Between Government Spending And Corruption And Its Effects On Economic Growth," Contemporary Economic Policy, Western Economic Association International, vol. 32(2), pages 403-419, April.
    58. Richard S. J. Tol, 2009. "The Economic Effects of Climate Change," Journal of Economic Perspectives, American Economic Association, vol. 23(2), pages 29-51, Spring.
    59. Daisuke Maruichi and Masato Abe, 2019. "Corruption and the business environment in Vietnam: Implications from an empirical study," Asia and the Pacific Policy Studies 201913, Crawford School of Public Policy, The Australian National University.
    60. Wang, Quan-Jing & Wang, Hai-Jie & Chang, Chun-Ping, 2022. "Environmental performance, green finance and green innovation: What's the long-run relationships among variables?," Energy Economics, Elsevier, vol. 110(C).
    61. Francis, Bill B. & Hasan, Iftekhar & Sun, Xian, 2009. "Political connections and the process of going public: Evidence from China," Journal of International Money and Finance, Elsevier, vol. 28(4), pages 696-719, June.
    62. Lee, Chien-Chiang & Hussain, Jafar & Chen, Yongxiu, 2022. "The optimal behavior of renewable energy resources and government's energy consumption subsidy design from the perspective of green technology implementation," Renewable Energy, Elsevier, vol. 195(C), pages 670-680.
    63. Popp, David, 2012. "The role of technological change in green growth," Policy Research Working Paper Series 6239, The World Bank.
    64. Wen, Jun & Zhang, Sen & Chang, Chun-Ping, 2022. "Legal origins and innovation: Global evidence," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    65. Zameer, Hashim & Yasmeen, Humaira & Zafar, Muhammad Wasif & Waheed, Abdul & Sinha, Avik, 2020. "Analyzing the association between Innovation, Economic Growth, and Environment: Divulging the Importance of FDI and Trade Openness in India," MPRA Paper 101323, University Library of Munich, Germany, revised 2020.
    66. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    67. Wang, Qian & Wong, T.J. & Xia, Lijun, 2008. "State ownership, the institutional environment, and auditor choice: Evidence from China," Journal of Accounting and Economics, Elsevier, vol. 46(1), pages 112-134, September.
    68. Yang, Hao-Chang & Feng, Gen-Fu & Zhao, Xin Xin & Chang, Chun-Ping, 2022. "The impacts of energy insecurity on green innovation: A multi-country study," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 139-154.
    69. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    70. Paolo Mauro, 1995. "Corruption and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 681-712.
    71. Hu, Guoqiang & Wang, Xiaoqi & Wang, Yu, 2021. "Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 98(C).
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    More about this item

    Keywords

    Green innovation; Corruption; International environmental agreement;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

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