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ORIGINAL RESEARCH article

Front. Environ. Econ.
Sec. Energy Economics
Volume 3 - 2024 | doi: 10.3389/frevc.2024.1511080

Coupling Coordination Measurement and Spatiotemporal Evolution Characteristics of Digital Economy, Environmental Regulation, and Carbon Emission Intensity -Empirical Evidence from Chinese Provinces

Provisionally accepted
  • Xinjiang University, Urumqi, China

The final, formatted version of the article will be published soon.

    Digital economy, as an innovative digital technology, can promote environmental governance and support low-carbon development. Under the backdrop of China's dual carbon strategy, the country faces significant challenges in achieving coordinated development across the domains of economy, environment, and energy. Based on panel data from 30 Chinese provinces between 2012 and 2022, this paper constructs a coupling coordination model to measure the level of integrated development among digital economy, environmental regulation, and carbon emission intensity. The study also examines the spatiotemporal evolution of this coordination using kernel density estimation and spatial correlation tests. Furthermore, empirical analysis via regression models was employed to investigate key influencing factors. The findings suggest that: (1) The coupling coordination level has shown an upward trend over the sample period, with no extreme regional disparities; (2) Spatially, the development of coupling coordination exhibits "high-high" and "low-low" clustering effects; (3) Development levels are influenced by various external driving factors, with significant regional differences in primary influencing factors. For these findings, the following recommendations are proposed: enhance digital infrastructure, optimize regulatory frameworks, and promote the integration of digital economy with green and low-carbon development.

    Keywords: digital economy, environmental regulation, Carbon emission intensity, Coupling coordination measurement, spatiotemporal evolution

    Received: 14 Oct 2024; Accepted: 19 Nov 2024.

    Copyright: © 2024 Tang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Shi-Bo Tang, Xinjiang University, Urumqi, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.