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Influences of Environmental Regulations on Industrial Green Technology Innovation Efficiency in China

Author

Listed:
  • Wanfang Shen

    (Shandong Key Laboratory of Blockchain Finance, Shandong University of Finance and Economics, Jinan 250014, China)

  • Jianing Shi

    (School of Mathematics and Quantitative Economics, Shandong University of Finance and Economics, Jinan 250002, China)

  • Qinggang Meng

    (School of Mathematics and Quantitative Economics, Shandong University of Finance and Economics, Jinan 250002, China)

  • Xiaolan Chen

    (Shandong Technology Innovation Center of Social Governance Intelligence, Shandong University of Finance and Economics, Jinan 250014, China)

  • Yufei Liu

    (School of Mathematics and Quantitative Economics, Shandong University of Finance and Economics, Jinan 250002, China)

  • Ken Cheng

    (Kent Business School, University of Kent, Canterbury CT1 7NZ, UK
    Centre for Evaluation Studies, Beijing Normal University, Zhuhai 519088, China)

  • Wenbin Liu

    (Centre for Evaluation Studies, Beijing Normal University, Zhuhai 519088, China
    Division of Business and Management, Beijing Normal University, Hong Kong Baptist University United International College, Zhuhai 519087, China)

Abstract

The Paris Agreement marks global response to climate change after 2020 and China has proposed the dual carbon goals, carbon peaking and carbon neutrality, in response. This paper analyses the contribution to dual carbon goals by analyzing the impact of environmental regulations (ERs) on green technology innovation (GTI) in China. First, considering variances in energy consumption structure across provinces and industries, industrial CO 2 emission is calculated and set as an undesirable output of industrial GTI. Then, industrial green technology innovation efficiencies (GTIE) of 29 provinces in China between 2005–2017 are calculated using a non-oriented two-stage network SBM-DEA model assuming variable returns to scale. Last, dynamic evolution and regional differences of industrial GTIE during green technology R&D, green technology commercialization, and overall GTI stages are respectively observed, and the influences from different types of ERs, command-based (CER), market-based (MER), and voluntary (VER), on industrial GTIE are analyzed. We identify China is overall experiencing relatively low but gradually increasing industrial GTIE and Industrial GTIE present gradient changes across provinces with increasingly prominent regional difference. It is found that influences of types of ERs on industrial GTIE present dynamic effect, threshold effect, lag effect and regional differences.

Suggested Citation

  • Wanfang Shen & Jianing Shi & Qinggang Meng & Xiaolan Chen & Yufei Liu & Ken Cheng & Wenbin Liu, 2022. "Influences of Environmental Regulations on Industrial Green Technology Innovation Efficiency in China," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4717-:d:794175
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    References listed on IDEAS

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    Cited by:

    1. Qiong Wang & Yihan Wei, 2023. "Research on the Influence of Digital Economy on Technological Innovation: Evidence from Manufacturing Enterprises in China," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    2. Junfang Hao & Wanqiang Xu & Zhuo Chen & Baiyun Yuan & Yuping Wu, 2024. "Impact of Heterogeneous Environmental Regulations on Green Innovation Efficiency in China’s Industry," Sustainability, MDPI, vol. 16(1), pages 1-16, January.
    3. Wanfang Shen & Yufei Liu & Xiaowen Liu & Jianing Shi & Wenbin Liu & Chengye Liu, 2023. "The Effect of Industrial Structure Upgrading and Human Capital Structure Upgrading on Green Development Efficiency—Based on China’s Resource-Based Cities," Sustainability, MDPI, vol. 15(5), pages 1-26, March.
    4. Yaliu Yang & Yuan Wang & Cui Wang & Yingyan Zhang & Cuixia Zhang, 2022. "Temporal and Spatial Evolution of the Science and Technology Innovative Efficiency of Regional Industrial Enterprises: A Data-Driven Perspective," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    5. Xiaodi Yang & Di Wang, 2022. "Heterogeneous Environmental Regulation, Foreign Direct Investment, and Regional Carbon Dioxide Emissions: Evidence from China," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    6. Jingjing Qian & Chao Chen & Yun Zhong, 2022. "Environmental Regulation and Sustainable Growth of Enterprise Value: Mediating Effect Analysis Based on Technological Innovation," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    7. 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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