Suppr超能文献

数字经济在平衡经济增长与碳排放方面的绿色潜力。

The green potential of the digital economy in balancing economic growth and carbon emissions.

作者信息

Bai Conghui, Du Xuyang, Chua Soo Yean

机构信息

Economics Program, School of Social Sciences, Universiti Sains Malaysia, Penang, Malaysia.

Economics, Digital Economy School, Taishan University, Tai'an City, China.

出版信息

Sci Rep. 2025 Jun 3;15(1):19365. doi: 10.1038/s41598-025-04616-x.

Abstract

The imperative to mitigate carbon dioxide emissions is evident, given the escalating environmental challenges. The digital economy emerges as a pivotal agent for green solutions. Nonetheless, it is crucial to maintain a balance between emission reduction and economic growth, ensuring that efforts to curtail carbon output do not hinder economic development. This study aims to investigate the impact of digital economy on carbon efficiency across 287 Chinese cities from 2000 to 2021, based on benchmarks regression, threshold effect model, spatial effect regression, mechanism analysis, heterogeneity analysis, and difference-in-difference analysis. A key innovation of this study is the use of the Data Envelopment Analysis-Slack-Based Measure (DEA-SBM) model to measure carbon emission efficiency, addressing a major gap in existing research that primarily focuses on total emissions rather than efficiency. Compared with traditional efficiency measures, DEA-SBM captures the slack in both inputs and outputs, enabling a more realistic assessment of carbon efficiency under conditions of resource inefficiency and regulatory pressure in urban environments. Additionally, a structural equation model provides a multifaceted view of the digital economy's influence on carbon efficiency, moving past conventional single-pathway mediation models. Empirical results show that a 1% increase in the Digital Economy Index leads to a 0.148% improvement in carbon emission efficiency. In high-GDP regions, this effect rises sharply to 3.624%. A mediation analysis further reveals that the digital economy also indirectly boosts carbon efficiency through economic growth, contributing an additional 0.47% improvement. These findings underscore the digital economy's dual potential to foster both economic growth and carbon emissions. Based on the results, it is recommended that policymakers intensify digital economy development in undeveloped and resource-deteriorating regions, reduce taxes for green technology enterprises, and facilitate knowledge sharing from the more advanced eastern regions to enhance carbon emission efficiency.

摘要

鉴于环境挑战不断升级,减少二氧化碳排放的紧迫性显而易见。数字经济成为绿色解决方案的关键推动因素。尽管如此,在减排与经济增长之间保持平衡至关重要,要确保减少碳排放的努力不会阻碍经济发展。本研究旨在基于基准回归、门槛效应模型、空间效应回归、机制分析、异质性分析和双重差分分析,探究2000年至2021年数字经济对中国287个城市碳效率的影响。本研究的一项关键创新是使用数据包络分析-松弛测度(DEA-SBM)模型来衡量碳排放效率,弥补了现有研究主要关注总排放量而非效率这一重大空白。与传统效率测度相比,DEA-SBM能够捕捉投入和产出中的松弛,从而在城市环境中资源利用效率低下和监管压力的情况下,对碳效率进行更现实的评估。此外,结构方程模型提供了数字经济对碳效率影响的多方面视角,超越了传统的单路径中介模型。实证结果表明,数字经济指数每提高1%,碳排放效率提高0.148%。在高GDP地区,这一效应急剧上升至3.624%。中介分析进一步表明,数字经济还通过经济增长间接提高碳效率,额外提高0.47%。这些发现凸显了数字经济在促进经济增长和碳排放方面的双重潜力。基于研究结果,建议政策制定者加强欠发达和资源恶化地区的数字经济发展,降低绿色科技企业的税收,并促进更发达东部地区的知识共享,以提高碳排放效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c8c/12134164/744104adcbda/41598_2025_4616_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验