IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2022i1p437-d1016662.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/1/437/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/1/437/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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).
    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. Huayang Duan & Xuesong Sun, 2024. "Research on Technology Spillover of Digital Economy Affecting Energy Consumption Intensity in Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    2. Danyu Huang & Chunye Huang, 2024. "The Impact of Digital Economy Development on Improving the Ecological Environment—An Empirical Analysis Based on Data from 30 Provinces in China from 2012 to 2021," Sustainability, MDPI, vol. 16(16), pages 1-19, August.

    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. Peng, Hua-Rong & Qin, Xiong-Feng, 2024. "Digitalization as a trigger for a rebound effect of electricity use," Energy, Elsevier, vol. 300(C).
    2. Xu, Hao & Xu, Jingxuan & Wang, Jie & Hou, Xiang, 2023. "Reduce production or increase efficiency? Hazardous air pollutants regulation, energy use, and the synergistic effect on industrial enterprises' carbon emission," Energy Economics, Elsevier, vol. 126(C).
    3. Du, Juntao & Shen, Zhiyang & Song, Malin & Zhang, Linda, 2023. "Nexus between digital transformation and energy technology innovation: An empirical test of A-share listed enterprises," Energy Economics, Elsevier, vol. 120(C).
    4. He, Wenjian & Cheng, Yu & Lin, Ying & Zhang, Hongxiao, 2022. "Microeconomic effects of designating National Forest Cities: Evidence from China's publicly traded manufacturing companies," Forest Policy and Economics, Elsevier, vol. 136(C).
    5. Dong, Kangyin & Liu, Yang & Wang, Jianda & Dong, Xiucheng, 2024. "Is the digital economy an effective tool for decreasing energy vulnerability? A global case," Ecological Economics, Elsevier, vol. 216(C).
    6. Kangni Lyu & Shuwang Yang & Kun Zheng & Yao Zhang, 2023. "How Does the Digital Economy Affect Carbon Emission Efficiency? Evidence from Energy Consumption and Industrial Value Chain," Energies, MDPI, vol. 16(2), pages 1-20, January.
    7. Gabriele Curci & Domenico Depalo & Alessandro Palma, 2023. "The Dirtier You Breathe, The Less Safe You Are. The Effect of Air Pollution on Work Accidents," CEIS Research Paper 554, Tor Vergata University, CEIS, revised 24 May 2023.
    8. Ma, Ruiyang & Lin, Boqiang, 2023. "Digitalization and energy-saving and emission reduction in Chinese cities: Synergy between industrialization and digitalization," Applied Energy, Elsevier, vol. 345(C).
    9. Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    10. Bai, Caiquan & Liu, Hangjuan & Zhang, Rongjie & Feng, Chen, 2023. "Blessing or curse? Market-driven environmental regulation and enterprises' total factor productivity: Evidence from China's carbon market pilots," Energy Economics, Elsevier, vol. 117(C).
    11. Wang, Bo & Wang, Jianda & Dong, Kangyin & Dong, Xiucheng, 2023. "Is the digital economy conducive to the development of renewable energy in Asia?," Energy Policy, Elsevier, vol. 173(C).
    12. Rui Zhao & Dawei Liang & Yukun Pan & Qianqian Du, 2022. "Air Pollution and Employee Protection: The Moderating Effect of Public Attention and Environmental Regulations," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    13. Karlilar, Selin & Balcilar, Mehmet & Emir, Firat, 2023. "Environmental sustainability in the OECD: The power of digitalization, green innovation, renewable energy and financial development," Telecommunications Policy, Elsevier, vol. 47(6).
    14. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
    15. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    16. Xie, Yu & Wu, Desheng & Li, Xiaoyan & Tian, Suhua, 2023. "How does environmental regulation affect productivity? The role of corporate compliance strategies," Economic Modelling, Elsevier, vol. 126(C).
    17. Kunkel, S. & Neuhäusler, P. & Matthess, M. & Dachrodt, M.F., 2023. "Industry 4.0 and energy in manufacturing sectors in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    18. Huang, Junbing & Wang, Yajun & Luan, Bingjiang & Zou, Hong & Wang, Jun, 2023. "The energy intensity reduction effect of developing digital economy: Theory and empirical evidence from China," Energy Economics, Elsevier, vol. 128(C).
    19. Junhong Qu & Xiaoli Hao, 2022. "Digital Economy, Financial Development, and Energy Poverty Based on Mediating Effects and a Spatial Autocorrelation Model," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    20. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).

    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:437-:d:1016662. 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.