Author:
Kuang Yiming,Fan Yaojun,Bin Jie,Fan Min
Abstract
AbstractWith the rapid development of the digital economy, its environmental impact, particularly on carbon dioxide emissions in resource-based cities, has emerged as a vital research topic. Resource-based cities, often central to traditional industries, are confronted with the dual challenges of environmental pollution and economic transformation. This study employs empirical analysis to examine the influence of the digital economy on carbon dioxide emissions in these cities. The findings reveal that the digital economy significantly reduces carbon dioxide emissions, with this impact being more pronounced in the early stages of digital economic development and gradually diminishing thereafter. In the mechanism analysis, we found that the digital economy can reduce carbon dioxide emissions in resource-based cities by raising public concern about the environment. Moreover, the study highlights significant variations in carbon reduction effects among different types of resource-based cities, noting that stronger environmental regulations further enhance these effects. These insights not only provide a new theoretical perspective but also offer practical guidance for policymakers in promoting sustainable development within the digital economy.
Publisher
Springer Science and Business Media LLC
Reference68 articles.
1. Qureshi, S. As the global digital divide narrows, who is being left behind?. Inf. Technol. Dev. 18, 277–280. https://doi.org/10.1080/02681102.2012.730656 (2012).
2. Zhao, H. Global ICT development and ITU. In 2008 Third International Conference on Communications and Networking in China, pp. vii-viii. https://doi.org/10.1109/chinacom.2008.4684950 (2008).
3. Zhang, J., Li, J., Ye, D. & Sun, C. The impact of digital economy of resource-based city on carbon emissions trading by blockchain technology. Comput. Intell. Neurosci. https://doi.org/10.1155/2022/6366061 (2022).
4. Guo, B., Feng, W. & Lin, J. Does market-based environmental regulation improve the residents’ health: Quasi-natural experiment based on DID. Inq. J. Health Care Organ. Provis. Financ. 61, 00469580241237095 (2024).
5. Hu, F., Ma, Q., Hu, H., Zhou, K. H. & Wei, S. A study of the spatial network structure of ethnic regions in Northwest China based on multiple factor flows in the context of COVID-19: Evidence from Ningxia. Heliyon 10(2), e24653 (2024).