数字经济赋能全要素能源效率的效应研究
A Study on the Effect of Digital Economy Empowering Total Factor Energy Efficiency
DOI: 10.12677/ecl.2026.154422, PDF,    科研立项经费支持
作者: 李灵心, 吴亦琪:江苏大学数学科学学院,江苏 镇江;孙 涵:江苏大学管理学院,江苏 镇江
关键词: 数字经济全要素能源效率区域异质性Digital Economy Total Factor Energy Efficiency Regional Heterogeneity
摘要: 在“双碳”目标与绿色转型的发展背景下,数字经济对能源效率的影响具有重要研究价值。本文以2011~2023年中国30个省级行政区为样本,采用DDF-SFA模型测度全要素能源效率,经自适应弹性网筛选与熵权法测算数字经济综合指数,通过基准回归、中介效应模型及异质性分析展开实证检验。结果表明,数字经济对全要素能源效率具有显著正向净效应,该结论通过内生性及稳健性检验;技术研发能力与政府创新支持是数字经济赋能能源效率提升的关键中介路径。数字经济的正向赋能效应存在显著区域异质性,仅在小省份、低经济水平省份、偏服务业省份显著。
Abstract: Against the backdrop of the dual-carbon goals and green transformation, the impact of the digital economy on energy efficiency carries important research value. This paper takes 30 provincial-level administrative regions in China from 2011 to 2023 as the research sample, and adopts the DDF-SFA model to measure total factor energy efficiency. The adaptive elastic net model is used for indicator screening and the entropy weight method for calculating the comprehensive digital economy index, with empirical tests conducted through benchmark regression, mediating effect model and heterogeneity analysis. The results show that the digital economy exerts a significant positive net effect on total factor energy efficiency, a conclusion verified by endogeneity and robustness tests; technological research and development capability and government innovation support are the key mediating paths through which the digital economy boosts energy efficiency improvement. The positive enabling effect of the digital economy exhibits significant regional heterogeneity, being only prominent in small provinces, provinces with low economic development levels, and service-oriented provinces.
文章引用:李灵心, 吴亦琪, 孙涵. 数字经济赋能全要素能源效率的效应研究[J]. 电子商务评论, 2026, 15(4): 485-494. https://doi.org/10.12677/ecl.2026.154422

参考文献

[1] Song, M., Pan, H., Vardanyan, M. and Shen, Z. (2023) Evaluating the Energy Efficiency-Enhancing Potential of the Digital Economy: Evidence from China. Journal of Environmental Management, 344, Article ID: 118408. [Google Scholar] [CrossRef] [PubMed]
[2] Wan, G., Yang, L., Hao, Y. and Geng, Y. (2025) Assessing the Impacts of Digital Economy on Urban Green Development Efficiency. Sustainable Futures, 10, Article ID: 100910. [Google Scholar] [CrossRef
[3] Nie, Z. and Li, H. (2024) How Does the Digital Economy Improve Energy Eco-Efficiency? Evidence from Provincial Panel Data in China. Polish Journal of Environmental Studies, 34, 2819-2834. [Google Scholar] [CrossRef
[4] Wang, J. and Wang, J. (2024) “Booster” or “Obstacle”: Can Digital Transformation Improve Energy Efficiency? Firm-Level Evidence from China. Energy, 296, Article ID: 131101. [Google Scholar] [CrossRef
[5] Zhao, C., Su, J. and Zhang, B. (2024) Digital Economy Agglomeration and Energy Efficiency Gain: Evidence from China. Journal of Environmental Planning and Management, 68, 2348-2372. [Google Scholar] [CrossRef
[6] Wang, Q., Zhu, Y., Zhang, Y. and Chang, C. (2025) Impact of Digital Economy on Energy Efficiency: Role of Emerging Technologies Such as Ai. Energy Economics, 150, Article ID: 108840. [Google Scholar] [CrossRef
[7] Belkhir, L. and Elmeligi, A. (2018) Assessing ICT Global Emissions Footprint: Trends to 2040 & Recommendations. Journal of Cleaner Production, 177, 448-463. [Google Scholar] [CrossRef
[8] Mergel, I., Gong, Y. and Bertot, J. (2018) Agile Government: Systematic Literature Review and Future Research. Government Information Quarterly, 35, 291-298. [Google Scholar] [CrossRef
[9] Grimmelikhuijsen, S.G. and Feeney, M.K. (2016) Developing and Testing an Integrative Framework for Open Government Adoption in Local Governments. Public Administration Review, 77, 579-590. [Google Scholar] [CrossRef
[10] Wei, L., Lin, B., Zheng, Z., Wu, W. and Zhou, Y. (2023) Does Fiscal Expenditure Promote Green Technological Innovation in China? Evidence from Chinese Cities. Environmental Impact Assessment Review, 98, Article ID: 106945. [Google Scholar] [CrossRef
[11] Jiang, L., Li, B. and Zhang, M. (2025) The Impact of Digital Transformation on the Efficiency of Corporate Resource Allocation: Internal Mechanisms and External Environment. Technological Forecasting and Social Change, 215, Article ID: 124107. [Google Scholar] [CrossRef
[12] Tsai, J. and Ho, C. (2025) Impact of Digital Economy on Energy Consumption and Energy Efficiency. Sustainability, 17, Article 10831. [Google Scholar] [CrossRef
[13] Ahn, K., Chu, Z. and Lee, D. (2021) Effects of Renewable Energy Use in the Energy Mix on Social Welfare. Energy Economics, 96, Article ID: 105174. [Google Scholar] [CrossRef
[14] Wang, R. and Duan, Y. (2023) Dynamic Comparison on the Technical Efficiency between China’s Epes and Pes: Two-Dimensional Measurement Based on SFA. Journal of Cleaner Production, 406, Article ID: 136986. [Google Scholar] [CrossRef
[15] Wu, L., Zhu, C. and Wang, G. (2024) The Impact of Green Innovation Resilience on Energy Efficiency: A Perspective Based on the Development of the Digital Economy. Journal of Environmental Management, 355, Article ID: 120424. [Google Scholar] [CrossRef] [PubMed]
[16] Zou, H. and Zhang, H.H. (2009) On the Adaptive Elastic-Net with a Diverging Number of Parameters. The Annals of Statistics, 37, 1733-1751. [Google Scholar] [CrossRef] [PubMed]
[17] Li, K., Wang, H. and Xie, X. (2025) Mechanism and Spatial Spillover Effect of the Digital Economy on Urban Carbon Productivity: Evidence from 271 Prefecture-Level Cities in China. Journal of Environmental Management, 382, Article ID: 125435. [Google Scholar] [CrossRef] [PubMed]
[18] Liu, F., Zhou, D. and Ding, H. (2026) How Digitalization Affects Energy Technology Innovation: The Role of Government Digital Regulation. Energy Policy, 209, Article ID: 114982. [Google Scholar] [CrossRef
[19] Qiu, Y., Gao, C. and Song, N. (2025) Trickle-Down or Siphon: The Spillover Effects of the Digital Economy on Green Innovation from the Perspective of the Circular Economy. Socio-Economic Planning Sciences, 102, Article ID: 102328. [Google Scholar] [CrossRef
[20] Wang, Q. and Gao, G. (2025) Impact of Digital Economy on Carbon Emission Efficiency: Evidence from a Quasi-Natural Experiment in “Broadband China” Pilot Cities. Sustainable Futures, 10, Article ID: 101025. [Google Scholar] [CrossRef
[21] Yi, G., Gao, J., Yuan, W., Zeng, Y. and Liu, X. (2025) Digital Economy, R&D Resource Allocation, and Convergence of Regional Green Economy Efficiency. Sustainability, 17, Article 384. [Google Scholar] [CrossRef
[22] Kong, X., Guo, J., Wang, Q. and Li, C. (2024) Exploring the Impact of Digital Economy on Energy Transition: Insights from Natural Resource Rent Dynamics. Energy Economics, 136, Article ID: 107952.