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The Combined Effect of Environmental Policies on China’s Renewable Energy Development: A Multi-Perspective Study Based on Semiparametric Regression Model

Author

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  • Xiaolei Yang

    (Economics and Management School, Wuhan University, Wuhan 430072, China)

  • Shuiying Zhong

    (Economics and Management School, Wuhan University, Wuhan 430072, China)

Abstract

Based on a sample of 92 listed renewable energy enterprises in China from 2007–2017, this paper empirically examines the nonlinear effect of environmental policies on renewable energy investments using a semiparametric regression model. Environmental policies are divided into three groups in terms of pre-control, in-process governance, and post-accounting—the groups being green supervision and public regulations, green standardized regulations, and green accounting regulations—and this paper explores the differences in the effects of environmental policies at different stages. The results indicate that the relationship between environmental policies and renewable energy development has been unstable, following a “W-shaped” pattern. Green supervision and public regulations can greatly enhance investments in the renewable energy industry, with an estimated coefficient of 10.8173. Green standardized regulations have a similar “W-shaped” impact on renewable energy development. However, the nonlinear impact of green accounting regulations on renewable energy development fails the significance test. In addition, the effect of environmental policies on investment in the solar energy industry is positive, with a coefficient of 1.0697. The positive effect of environmental policies on investments in the renewable energy industry is reflected mainly in medium-, small-, and micro-sized enterprises. These findings contribute to the literature on the effectiveness of environmental policies by putting a set of environmental policies into a unified framework to explore their combined effects.

Suggested Citation

  • Xiaolei Yang & Shuiying Zhong, 2022. "The Combined Effect of Environmental Policies on China’s Renewable Energy Development: A Multi-Perspective Study Based on Semiparametric Regression Model," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:184-:d:1012275
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    1. Yang, Chih-Hai & Tseng, Yu-Hsuan & Chen, Chiang-Ping, 2012. "Environmental regulations, induced R&D, and productivity: Evidence from Taiwan's manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(4), pages 514-532.
    2. Salim, Ruhul A. & Hassan, Kamrul & Shafiei, Sahar, 2014. "Renewable and non-renewable energy consumption and economic activities: Further evidence from OECD countries," Energy Economics, Elsevier, vol. 44(C), pages 350-360.
    3. Terkla, David, 1984. "The efficiency value of effluent tax revenues," Journal of Environmental Economics and Management, Elsevier, vol. 11(2), pages 107-123, June.
    4. Alfons Palangkaraya & Andreas Stierwald & Jongsay Yong, 2009. "Is Firm Productivity Related to Size and Age? The Case of Large Australian Firms," Journal of Industry, Competition and Trade, Springer, vol. 9(2), pages 167-195, June.
    5. Li, Zhiguo & Wang, Jie, 2022. "Spatial spillover effect of carbon emission trading on carbon emission reduction: Empirical data from pilot regions in China," Energy, Elsevier, vol. 251(C).
    6. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit, 2016. "The dynamic impact of renewable energy consumption on CO2 emissions: A revisited Environmental Kuznets Curve approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 838-845.
    7. Cao, Jing & Ho, Mun S. & Ma, Rong & Teng, Fei, 2021. "When carbon emission trading meets a regulated industry: Evidence from the electricity sector of China," Journal of Public Economics, Elsevier, vol. 200(C).
    8. Carfora, A. & Pansini, R.V. & Romano, A.A. & Scandurra, G., 2018. "Renewable energy development and green public policies complementarities: The case of developed and developing countries," Renewable Energy, Elsevier, vol. 115(C), pages 741-749.
    9. Arbex, Marcelo & Perobelli, Fernando S., 2010. "Solow meets Leontief: Economic growth and energy consumption," Energy Economics, Elsevier, vol. 32(1), pages 43-53, January.
    10. Wang, Qiang & Kwan, Mei-Po & Fan, Jie & Zhou, Kan & Wang, Ya-Fei, 2019. "A study on the spatial distribution of the renewable energy industries in China and their driving factors," Renewable Energy, Elsevier, vol. 139(C), pages 161-175.
    11. Liu, Guangqiang & Yang, Zhiqing & Zhang, Fan & Zhang, Nan, 2022. "Environmental tax reform and environmental investment: A quasi-natural experiment based on China's Environmental Protection Tax Law," Energy Economics, Elsevier, vol. 109(C).
    12. Bhattacharya, Mita & Paramati, Sudharshan Reddy & Ozturk, Ilhan & Bhattacharya, Sankar, 2016. "The effect of renewable energy consumption on economic growth: Evidence from top 38 countries," Applied Energy, Elsevier, vol. 162(C), pages 733-741.
    13. Xiaolei Yang & Lingyun He & Sihua Tian & Yufei Xia & Deqing Wang, 2021. "Construction of China’s Green Institutional Environmental Index: Using Functional Data Analysis method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 559-582, April.
    14. Zhang, Chenxi & Zhou, Dequn & Wang, Qunwei & Ding, Hao & Zhao, Siqi, 2022. "Will fiscal decentralization stimulate renewable energy development? Evidence from China," Energy Policy, Elsevier, vol. 164(C).
    15. Inglesi-Lotz, Roula, 2016. "The impact of renewable energy consumption to economic growth: A panel data application," Energy Economics, Elsevier, vol. 53(C), pages 58-63.
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