IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p3905-d1076877.html
   My bibliography  Save this article

Threshold Effect of Environmental Regulation and Green Innovation Efficiency: From the Perspective of Chinese Fiscal Decentralization and Environmental Protection Inputs

Author

Listed:
  • Liang Liu

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
    These authors contributed equally to this work and should be considered co-first authors.)

  • Yuting Zhao

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
    These authors contributed equally to this work and should be considered co-first authors.)

  • Xiujuan Gong

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

  • Shu Liu

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

  • Mengyue Li

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

  • Yirui Yang

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

  • Pan Jiang

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
    School of Environment and Resource, Southwest University of Science and Technology, Mianyang 621010, China)

Abstract

In the context of China’s 14th Five-Year Plan and 2035 visionary goals of national economic and social development, to achieve the national dual carbon goals, an innovation-driven green development strategy must be implemented, and the relationship between environmental regulation and green innovation efficiency must be clarified. Based on the DEA-SBM model, in this study, we measured the green innovation efficiency of 30 provinces and cities in China from 2011 to 2020 by introducing environmental regulation as the core explanatory variable, and two threshold variables, environmental protection input and fiscal decentralization, to empirically analyze the threshold effect of environmental regulation on green innovation efficiency. We found that: (1) The green innovation efficiency of 30 provinces and municipalities in China is spatially distributed as strong in the east and weak in the west. (2) A double-threshold effect exists with environmental protection input as the threshold variable. Environmental regulation showed an inverted N-shaped relationship of first inhibiting, then promoting, and finally inhibiting green innovation efficiency. (3) A double-threshold effect exists with fiscal decentralization as the threshold variable. Environmental regulation showed an inverted N-shaped relationship of inhibiting, promoting, and then inhibiting green innovation efficiency. The study results provide theoretical guidance and practical reference for China to achieve the dual carbon goal.

Suggested Citation

  • Liang Liu & Yuting Zhao & Xiujuan Gong & Shu Liu & Mengyue Li & Yirui Yang & Pan Jiang, 2023. "Threshold Effect of Environmental Regulation and Green Innovation Efficiency: From the Perspective of Chinese Fiscal Decentralization and Environmental Protection Inputs," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:3905-:d:1076877
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/3905/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/5/3905/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    2. Zhen Shi & Huinan Huang & Yingju Wu & Yung-Ho Chiu & Shijiong Qin, 2020. "Climate Change Impacts on Agricultural Production and Crop Disaster Area in China," IJERPH, MDPI, vol. 17(13), pages 1-23, July.
    3. Zeng, Juying & Škare, Marinko & Lafont, Juan, 2021. "The co-integration identification of green innovation efficiency in Yangtze River Delta region," Journal of Business Research, Elsevier, vol. 134(C), pages 252-262.
    4. Wu, Bao & Fang, Hanqing & Jacoby, Gady & Li, Geling & Wu, Zhenyu, 2022. "Environmental regulations and innovation for sustainability? Moderating effect of political connections," Emerging Markets Review, Elsevier, vol. 50(C).
    5. Liang Liu & Mengyue Li & Xiujuan Gong & Pan Jiang & Ruifeng Jin & Yuhan Zhang, 2022. "Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    6. Xingle Long & Chuanwang Sun & Chao Wu & Bin Chen & Kofi Agyenim Boateng, 2020. "Green innovation efficiency across China’s 30 provinces: estimate, comparison, and convergence," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1243-1260, October.
    7. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Melike Bildirici & Sema Yılmaz Genç & Özgür Ömer Ersin, 2023. "Effects of Fiscal and Monetary Policies, Energy Consumption and Economic Growth on CO 2 Emissions in the Turkish Economy: Nonlinear Bootstrapping NARDL and Nonlinear Causality Methods," Sustainability, MDPI, vol. 15(13), pages 1-23, July.

    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. Wang, Qian & Ren, Shuming, 2022. "Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    2. Suhan Zhang & Xue Li & Zhen Nie & Yan Wang & Danni Li & Xingpeng Chen & Yiping Liu & Jiaxing Pang, 2024. "The Significance of Agricultural Modernization Development for Agricultural Carbon Emission Efficiency in China," Agriculture, MDPI, vol. 14(6), pages 1-27, June.
    3. Zhuoxi Yu & Shan Liu & Zhichuan Zhu, 2022. "Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    4. Yingzhi Xu & Biying Dong & Zihao Chen, 2022. "Can foreign trade and technological innovation affect green development: evidence from countries along the Belt and Road," Economic Change and Restructuring, Springer, vol. 55(2), pages 1063-1090, May.
    5. Wen, Yuyuan & Yu, Zilong & Xue, Jingjing & Liu, Yang, 2024. "How heterogeneous industrial agglomeration impacts energy efficiency subject to technological innovation:Evidence from the spatial threshold model," Energy Economics, Elsevier, vol. 136(C).
    6. Shuai Chen & Jiameng Yang & Xue Chen, 2024. "Impact of Foreign Direct Investment on Green Total Factor Productivity: New Evidence from Yangtze River Delta in China," Sustainability, MDPI, vol. 16(18), pages 1-24, September.
    7. Yuanyuan Wu & Zhanhua Jia & Tingting Yu, 2022. "Tourism and Green Development: Analysis of Linear and Non-Linear Effects," IJERPH, MDPI, vol. 19(23), pages 1-22, November.
    8. Yong Zhu & Congjia Huo, 2022. "The Impact of Agricultural Production Efficiency on Agricultural Carbon Emissions in China," Energies, MDPI, vol. 15(12), pages 1-22, June.
    9. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    10. Weiwei Zhang & Shengqiang Zhang & Lan Bo & Mahfuzul Haque & Enru Liu, 2023. "Does China’s Regional Digital Economy Promote the Development of a Green Economy?," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    11. Guo, Ran & Yuan, Yijun, 2020. "Different types of environmental regulations and heterogeneous influence on energy efficiency in the industrial sector: Evidence from Chinese provincial data," Energy Policy, Elsevier, vol. 145(C).
    12. Huang, Junbing & Cai, Xiaochen & Huang, Shuo & Tian, Sen & Lei, Hongyan, 2019. "Technological factors and total factor productivity in China: Evidence based on a panel threshold model," China Economic Review, Elsevier, vol. 54(C), pages 271-285.
    13. Kun Lv & Shurong Yu & Dian Fu & Jingwen Wang & Chencheng Wang & Junbai Pan, 2022. "The Impact of Financial Development and Green Finance on Regional Energy Intensity: New Evidence from 30 Chinese Provinces," Sustainability, MDPI, vol. 14(15), pages 1-29, July.
    14. Xiaohu Li & Xigang Zhu & Jianshu Li & Chao Gu, 2021. "Influence of Different Industrial Agglomeration Modes on Eco-Efficiency in China," IJERPH, MDPI, vol. 18(24), pages 1-23, December.
    15. Shihong Zeng & Gen Li & Shaomin Wu & Zhanfeng Dong, 2022. "The Impact of Green Technology Innovation on Carbon Emissions in the Context of Carbon Neutrality in China: Evidence from Spatial Spillover and Nonlinear Effect Analysis," IJERPH, MDPI, vol. 19(2), pages 1-25, January.
    16. Lu Wang & Wenzhong Ye & Lingming Chen, 2021. "Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network," Land, MDPI, vol. 10(11), pages 1-15, November.
    17. Yang Liu & Yanlin Yang & Shuang Zheng & Lei Xiao & Hongjie Gao & Hechen Lu, 2022. "Dynamic Impact of Technology and Finance on Green Technology Innovation Efficiency: Empirical Evidence from China’s Provinces," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
    18. Yanhong Liu & Xinjian Huang & Weiliang Chen, 2019. "Threshold Effect of High-Tech Industrial Scale on Green Development—Evidence from Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    19. Shuangjie Li & Wei Wang & Liming Wang & Ge Wang, 2023. "Digital Economy and 3E Efficiency Performance: Evidence from EU Countries," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    20. Guokui Wang & Junbo Gao & Yangyang Li, 2024. "Does Low-Carbon Transition Promote Regional Sustainable Development? Evidence from the Huaihe River Ecological Economic Belt," Sustainability, MDPI, vol. 16(20), pages 1-17, October.

    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:2023:i:5:p:3905-:d:1076877. 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.