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Research on Theoretical Mechanism and Promotion Path of Digital Economy Driving China’s Green Development under “Double Carbon” Background

Author

Listed:
  • Zhen Feng

    (School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Sainan Cheng

    (School of Business Administration, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Guohua Qu

    (School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Yunlong Cui

    (School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, China)

  • Jiameng Ye

    (School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China)

Abstract

(1) Background: Under the background of building a new pattern of “double cycle” development, the green meaning of the digital economy is highly valued. The innovative feature of the digital economy is forming a new economic growth pole, and gradually becomes the driving force for China’s economic restructuring and green development; (2) methods: this paper empirically tests whether the digital economy can promote green development by using various econometric models based on panel dataset with 30 provinces from 2011 to 2019 in mainland China and measuring the development level of the digital economy and the greening index; (3) results: it is found that the digital economy can directly boost green development in greening degree of economic growth, resources and environment-carrying potential, and government policy support. The digital economy’s influence on green development has an inverted U-shaped trend; environmental control is an effective regulatory variable with a substitution effect on green development. With an obvious regional heterogeneity, the digital economy promotes green development; the digital economy can greatly affect green growth through technical innovation through mechanism analysis. The robustness test supports the above conclusion; (4) conclusions: the findings provide a foundation for multi-party policymakers to effectively formulate and implement policies for the digital economy that encourage green growth.

Suggested Citation

  • Zhen Feng & Sainan Cheng & Guohua Qu & Yunlong Cui & Jiameng Ye, 2022. "Research on Theoretical Mechanism and Promotion Path of Digital Economy Driving China’s Green Development under “Double Carbon” Background," IJERPH, MDPI, vol. 20(1), pages 1-27, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:437-:d:1016662
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    References listed on IDEAS

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    1. Shahbaz, Muhammad & Wang, Jianda & Dong, Kangyin & Zhao, Jun, 2022. "The impact of digital economy on energy transition across the globe: The mediating role of government governance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    2. Moinak Maiti & Parthajit Kayal, 2017. "Digitization: Its Impact on Economic Development & Trade," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 7(6), pages 541-549.
    3. Harding, Torfinn & Herzberg, Julika & Kuralbayeva, Karlygash, 2021. "Commodity prices and robust environmental regulation: Evidence from deforestation in Brazil," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    4. Shen, Zhiyang & Wang, Songkai & Boussemart, Jean-Philippe & Hao, Yu, 2022. "Digital transition and green growth in Chinese agriculture," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    5. Ordás Criado, C. & Valente, S. & Stengos, T., 2011. "Growth and pollution convergence: Theory and evidence," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 199-214, September.
    6. Liu, Mengdi & Tan, Ruipeng & Zhang, Bing, 2021. "The costs of “blue sky”: Environmental regulation, technology upgrading, and labor demand in China," Journal of Development Economics, Elsevier, vol. 150(C).
    7. Asif Khan & Wu Ximei, 2022. "Digital Economy and Environmental Sustainability: Do Information Communication and Technology (ICT) and Economic Complexity Matter?," IJERPH, MDPI, vol. 19(19), pages 1-21, September.
    8. Abdulrahman Jbaily & Xiaodan Zhou & Jie Liu & Ting-Hwan Lee & Leila Kamareddine & Stéphane Verguet & Francesca Dominici, 2022. "Air pollution exposure disparities across US population and income groups," Nature, Nature, vol. 601(7892), pages 228-233, January.
    9. Wafa Alwakid & Sebastian Aparicio & David Urbano, 2021. "The Influence of Green Entrepreneurship on Sustainable Development in Saudi Arabia: The Role of Formal Institutions," IJERPH, MDPI, vol. 18(10), pages 1-23, May.
    10. J. Steven Landefeld & Barbara M. Fraumeni, 2001. "Measuring the New Economy," BEA Papers 0011, Bureau of Economic Analysis.
    11. Shihe Fu & V Brian Viard & Peng Zhang, 2021. "Air Pollution and Manufacturing Firm Productivity: Nationwide Estimates for China [Management and shocks to worker productivity]," The Economic Journal, Royal Economic Society, vol. 131(640), pages 3241-3273.
    12. Qiu, Larry D. & Zhou, Mohan & Wei, Xu, 2018. "Regulation, innovation, and firm selection: The porter hypothesis under monopolistic competition," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 638-658.
    13. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
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