IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2022i1p184-d1012275.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/1/184/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/1/184/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Terkla, David, 1984. "The efficiency value of effluent tax revenues," Journal of Environmental Economics and Management, Elsevier, vol. 11(2), pages 107-123, June.
    11. 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).
    12. Arbex, Marcelo & Perobelli, Fernando S., 2010. "Solow meets Leontief: Economic growth and energy consumption," Energy Economics, Elsevier, vol. 32(1), pages 43-53, January.
    13. 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).
    14. 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.
    15. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Doytch, Nadia & Narayan, Seema, 2021. "Does transitioning towards renewable energy accelerate economic growth? An analysis of sectoral growth for a dynamic panel of countries," Energy, Elsevier, vol. 235(C).
    2. Adewuyi, Adeolu O. & Awodumi, Olabanji B., 2017. "Renewable and non-renewable energy-growth-emissions linkages: Review of emerging trends with policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 275-291.
    3. He, Yongda & Lin, Boqiang, 2018. "Time-varying effects of cyclical fluctuations in China's energy industry on the macro economy and carbon emissions," Energy, Elsevier, vol. 155(C), pages 1102-1112.
    4. Huang, Yongming & Ahmad, Maaz & Ali, Sher & Kirikkaleli, Dervis, 2022. "Does eco-innovation promote cleaner energy? Analyzing the role of energy price and human capital," Energy, Elsevier, vol. 239(PD).
    5. Namahoro, J.P. & Nzabanita, J. & Wu, Q., 2021. "The impact of total and renewable energy consumption on economic growth in lower and middle- and upper-middle-income groups: Evidence from CS-DL and CCEMG analysis," Energy, Elsevier, vol. 237(C).
    6. Anupam Das & Adian McFarlane & Luc Carels, 2021. "Empirical exploration of remittances and renewable energy consumption in Bangladesh," Asia-Pacific Journal of Regional Science, Springer, vol. 5(1), pages 65-89, February.
    7. Koçak, Emrah & Şarkgüneşi, Aykut, 2017. "The renewable energy and economic growth nexus in Black Sea and Balkan countries," Energy Policy, Elsevier, vol. 100(C), pages 51-57.
    8. Yuting Feng & Tong Zhao, 2022. "Exploring the Nonlinear Relationship between Renewable Energy Consumption and Economic Growth in the Context of Global Climate Change," IJERPH, MDPI, vol. 19(23), pages 1-17, November.
    9. Hoang, Thi Hong Van & Shahzad, Syed Jawad Hussain & Czudaj, Robert L., 2020. "Renewable energy consumption and industrial production: A disaggregated time-frequency analysis for the U.S," Energy Economics, Elsevier, vol. 85(C).
    10. Sohag, Kazi & Taşkın, F. Dilvin & Malik, Muhammad Nasir, 2019. "Green economic growth, cleaner energy and militarization: Evidence from Turkey," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    11. Shahbaz, Muhammad & Hussain Shahzad, Syed Jawad & Jammazi, Rania, 2016. "Nexus between U.S Energy Sources and Economic Activity: Time-Frequency and Bootstrap Rolling Window Causality Analysis," MPRA Paper 68724, University Library of Munich, Germany, revised 08 Jan 2016.
    12. Trinh, Hai Hong & Sharma, Gagan Deep & Tiwari, Aviral Kumar & Vo, Diem Thi Hong, 2022. "Examining the heterogeneity of financial development in the energy-environment nexus in the era of climate change: Novel evidence around the world," Energy Economics, Elsevier, vol. 116(C).
    13. Jin, Taeyoung & Kim, Jinsoo, 2018. "What is better for mitigating carbon emissions – Renewable energy or nuclear energy? A panel data analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 464-471.
    14. He, Yongda & Lin, Boqiang, 2019. "Regime differences and industry heterogeneity of the volatility transmission from the energy price to the PPI," Energy, Elsevier, vol. 176(C), pages 900-916.
    15. Zhao, Xu & Luo, Dongkun, 2017. "Driving force of rising renewable energy in China: Environment, regulation and employment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 48-56.
    16. Yang, Xiaolei & He, Lingyun & Xia, Yufei & Chen, Yufeng, 2019. "Effect of government subsidies on renewable energy investments: The threshold effect," Energy Policy, Elsevier, vol. 132(C), pages 156-166.
    17. Minglin Wang & Shaolong Zeng & Yunzhe Wang & Zhengxia He, 2022. "Does Clean Energy Use Have Threshold Effects on Economic Development? A Case of Theoretical and Empirical Analyses from China," IJERPH, MDPI, vol. 19(15), pages 1-18, August.
    18. Amri, Fethi, 2017. "The relationship amongst energy consumption (renewable and non-renewable), and GDP in Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 62-71.
    19. Jin, Taeyoung, 2022. "The evolutionary renewable energy and mitigation impact in OECD countries," Renewable Energy, Elsevier, vol. 189(C), pages 570-586.
    20. Muhammad Shahbaz & Naceur Khraief & Robert L. Czudaj, 2020. "Renewable energy consumption-economic growth nexus in G7 countries: New evidence from a nonlinear ARDL approach," Economics Bulletin, AccessEcon, vol. 40(4), pages 2828-2843.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:184-:d:1012275. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.