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Environmental Regulation, Government Subsidies, and Green Technology Innovation—A Provincial Panel Data Analysis from China

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  • Pei Wang

    (School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China)

  • Cong Dong

    (School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China)

  • Nan Chen

    (School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China)

  • Ming Qi

    (School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China)

  • Shucheng Yang

    (School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China)

  • Amuji Bridget Nnenna

    (School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China)

  • Wenxin Li

    (School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China)

Abstract

Economic development in the “new era” will require green innovation. To encourage the growth of green technology innovation, it has become fashionable to strengthen environmental regulation. However, the impact of environmental regulation on green technology innovation, as well as the role of government subsidies, needs to be examined. Utilizing fixed-effect models and 2SLS models to explore the impact of environmental regulation on green technology innovation in China from 2003 to 2017, this research sought to examine whether environmental regulations impact green technology innovation, as well as the role of government subsidies in the above-mentioned influence path. The findings support the Porter Hypothesis by demonstrating an inverted “U” relationship between environmental regulation and green technology innovation. The impact of environmental regulation on green technology innovation varies by region. To be specific, there is an inverted “U” relationship between environmental regulation and green technology innovation in China’s central and central coast regions. In comparison, the north area, southern coast, and southwest region exhibit a “U” relationship between the two. The relationship is not significant in the Beijing-Tianjin region. Additionally, government subsidies act as an intermediate in this process, positively influencing firms to pursue green technology innovation during the earliest stages of environmental regulation strengthening. However, government subsidies above a certain level are unproductive and should be used appropriately and phased off in due course.

Suggested Citation

  • Pei Wang & Cong Dong & Nan Chen & Ming Qi & Shucheng Yang & Amuji Bridget Nnenna & Wenxin Li, 2021. "Environmental Regulation, Government Subsidies, and Green Technology Innovation—A Provincial Panel Data Analysis from China," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:22:p:11991-:d:679719
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    Cited by:

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    2. Wanli Zhang & Bin Zhu & Yongling Li & Dan Yan, 2024. "Revisiting the Porter hypothesis: a multi-country meta-analysis of the relationship between environmental regulation and green innovation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    3. Wu, Wei & Hu, Yingying & Wu, Qinwen, 2023. "Subsidies and tax incentives - Does it make a difference on TFP? Evidences from China's photovoltaic and wind listed companies," Renewable Energy, Elsevier, vol. 208(C), pages 645-656.
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    5. Xiaoming Song & Ze Tian & Chenhui Ding & Chao Liu & Wei Wang & Ronggai Zhao & Yingchun Xing, 2022. "Digital Economy, Environmental Regulation, and Ecological Well-Being Performance: A Provincial Panel Data Analysis from China," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
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    16. Ding, Yibing & Li, Jing & Tian, Yuqi, 2024. "The short and long-term effects of cross-border M&A network on Chinese enterprises’ green innovation," Economic Modelling, Elsevier, vol. 134(C).
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    18. Xiaoli Shi & Ying Chen & Qianju Cheng, 2022. "Environmental Regulation, Environmental Knowledge Spillover, and Regional Economic Growth in China: An Empirical Test Based on the Spatial Durbin Model," Sustainability, MDPI, vol. 14(21), pages 1-23, November.
    19. Chen, Shi & Huang, Fu-Wei & Lin, Jyh-Horng, 2022. "Life insurance policyholder protection, government green subsidy, and cap-and-trade transactions in a black swan environment," Energy Economics, Elsevier, vol. 115(C).
    20. Maohui Ren & Tao Zhou & Di Wang & Chenxi Wang, 2023. "Does Environmental Regulation Promote the Infrastructure Investment Efficiency? Analysis Based on the Spatial Effects," IJERPH, MDPI, vol. 20(4), pages 1-24, February.
    21. Peiyan Zhou & Shuya Zhou & Ming Zhang & Shujuan Miao, 2022. "Executive Overconfidence, Digital Transformation and Environmental Innovation: The Role of Moderated Mediator," IJERPH, MDPI, vol. 19(10), pages 1-28, May.
    22. Xin Zhang & Feng Xu, 2023. "Environmental Regulation and Spatial Spillover Effect of Green Technology Innovation: An Empirical Study on the Spatial Durbin Model," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    23. Lixia Chen & Jianyuan Huang, 2023. "Study on the Interaction Effect between the Intensity of Government Low-Carbon Subsidies and the Growth Ability of Green and Low-Carbon Emerging Enterprises," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    24. Xiaonan Fan & Sainan Ren & Yang Liu, 2023. "The Driving Factors of Green Technology Innovation Efficiency—A Study Based on the Dynamic QCA Method," Sustainability, MDPI, vol. 15(12), pages 1-25, June.

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