IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i18p7974-d1476651.html
   My bibliography  Save this article

Exploring the Impacts of the Digital Economy on Carbon Emissions: Lessons from 268 Cities in China

Author

Listed:
  • Dunping Huang

    (School of Economics, Anhui University of Finance and Economics, Bengbu 233030, China)

  • Fan Yang

    (School of Economics, Anhui University of Finance and Economics, Bengbu 233030, China)

  • Donghui Wang

    (School of Management, Bengbu College of Technology and Business, Bengbu 233000, China)

  • Kai Yin

    (School of Economics, Anhui University of Finance and Economics, Bengbu 233030, China)

  • Bin Gong

    (Experimental Training Center, Anhui University of Finance and Economics, Bengbu 233030, China)

  • Lianbiao Cui

    (School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu 233030, China)

Abstract

Based on the panel data from 268 prefecture-level cities in China from 2011–2020, this study explores the impact of the digital economy on China’s carbon emissions and its mechanisms. The results reveal that the digital economy has a significant urban carbon emission reduction effect, and the robustness test results confirm the reliability of this conclusion. The heterogeneity analysis indicates that regional and city endowment influences this effect, with the effect being relatively stronger in the eastern region and high-grade cities, whereas the effect is not notable in the central and western regions and low-grade cities. In addition, digital economy development in the central region and non-resource cities can reduce carbon emissions, although its impact on peripheral and resource cities remains uncertain. Further mediation effect tests show that the urban carbon emission reduction effect occurs through energy consumption reduction, industrial structure upgrading, and green technology innovation. This study contributes to a deeper understanding of the relationship between the digital economy and carbon emissions, which is significant for formulating digital economy policies to reduce carbon emissions.

Suggested Citation

  • Dunping Huang & Fan Yang & Donghui Wang & Kai Yin & Bin Gong & Lianbiao Cui, 2024. "Exploring the Impacts of the Digital Economy on Carbon Emissions: Lessons from 268 Cities in China," Sustainability, MDPI, vol. 16(18), pages 1-20, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:7974-:d:1476651
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/18/7974/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/18/7974/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guo, Qingbin & Wang, Yong & Dong, Xiaobin, 2022. "Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China," Applied Energy, Elsevier, vol. 313(C).
    2. Thorsten Koch & Josef Windsperger, 2017. "Seeing through the network: Competitive advantage in the digital economy," Journal of Organization Design, Springer;Organizational Design Community, vol. 6(1), pages 1-30, December.
    3. Pan, Wenrong & Xie, Tao & Wang, Zhuwang & Ma, Lisha, 2022. "Digital economy: An innovation driver for total factor productivity," Journal of Business Research, Elsevier, vol. 139(C), pages 303-311.
    4. Lin, Boqiang & Chen, Yufang & Zhang, Guoliang, 2017. "Technological progress and rebound effect in China's nonferrous metals industry: An empirical study," Energy Policy, Elsevier, vol. 109(C), pages 520-529.
    5. Wang, Lianghu & Shao, Jun, 2023. "Digital economy, entrepreneurship and energy efficiency," Energy, Elsevier, vol. 269(C).
    6. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    7. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    9. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    10. Wu, Linfei & Sun, Liwen & Qi, Peixiao & Ren, Xiangwei & Sun, Xiaoting, 2021. "Energy endowment, industrial structure upgrading, and CO2 emissions in China: Revisiting resource curse in the context of carbon emissions," Resources Policy, Elsevier, vol. 74(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. Zhang, Weike & Fan, Hongxia & Zhao, Qiwei, 2023. "Seeing green: How does digital infrastructure affect carbon emission intensity?," Energy Economics, Elsevier, vol. 127(PB).
    2. 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).
    3. Shunbin Zhong & Huafu Shen & Ziheng Niu & Yang Yu & Lin Pan & Yaojun Fan & Atif Jahanger, 2022. "Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    4. Wang, Yizi & Li, Lanyi, 2024. "Digital economy, industrial structure upgrading, and residents' consumption: Empirical evidence from prefecture-level cities in China," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1045-1058.
    5. 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).
    6. Huaxue Zhao & Yu Cheng & Ruijing Zheng, 2022. "Impact of the Digital Economy on PM 2.5 : Experience from the Middle and Lower Reaches of the Yellow River Basin," IJERPH, MDPI, vol. 19(24), pages 1-20, December.
    7. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
    8. Fengyu Zhao & Ziqing Xu & Xiaowen Xie, 2024. "Exploring the Role of Digital Economy in Enhanced Green Productivity in China’s Manufacturing Sector: Fresh Evidence for Achieving Sustainable Development Goals," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
    9. Wenfei Song & Xianfeng Han, 2024. "Does the digital economy contribute to China’s energy transition?," Economic Change and Restructuring, Springer, vol. 57(5), pages 1-25, October.
    10. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
    11. Huang, Junbing & He, Wanrui & Dong, Xinwei & Wang, Qiuhan & Wu, Jun, 2024. "How does green finance reduce China's carbon emissions by fostering green technology innovation?," Energy, Elsevier, vol. 298(C).
    12. Charfeddine, Lanouar & Umlai, Mohamed, 2023. "ICT sector, digitization and environmental sustainability: A systematic review of the literature from 2000 to 2022," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    13. Zhipeng Yu & Yi Liu & Taihua Yan & Ming Zhang, 2024. "Carbon emission efficiency in the age of digital economy: New insights on green technology progress and industrial structure distortion," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4039-4057, July.
    14. Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    15. Yuqi Zhu & Siwei Shen & Linyu Du & Jun Fu & Jian Zou & Lina Peng & Rui Ding, 2023. "Spatial and Temporal Interaction Coupling of Digital Economy, New-Type Urbanization and Land Ecology and Spatial Effects Identification: A Study of the Yangtze River Delta," Land, MDPI, vol. 12(3), pages 1-27, March.
    16. Luo, Erga & Yan, Ru & He, Yaping & Han, Zhen & Feng, Yiyu & Qian, Wenrong & Li, Jinkai, 2024. "Does biogas industrial policy promote the industrial transformation?," Resources Policy, Elsevier, vol. 88(C).
    17. Zhao, Xiaoyang & Weng, Zongyuan, 2024. "Digital dividend or divide: The digital economy and urban entrepreneurial activity," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    18. Luan, Bingjiang & Zou, Hong & Chen, Shuxing & Huang, Junbing, 2021. "The effect of industrial structure adjustment on China’s energy intensity: Evidence from linear and nonlinear analysis," Energy, Elsevier, vol. 218(C).
    19. Xiong, Su & Luo, Rong, 2023. "Investigating the relationship between digital trade, natural resources, energy transition, and green productivity: Moderating role of R&D investment," Resources Policy, Elsevier, vol. 86(PB).
    20. Li, Ding & Gao, Ming & Hou, Wenxuan & Song, Malin & Chen, Jiandong, 2020. "A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach," Energy Policy, Elsevier, vol. 147(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:jsusta:v:16:y:2024:i:18:p:7974-:d:1476651. 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.