Academic Journal of Environment & Earth Science, 2025, 7(5); doi: 10.25236/AJEE.2025.070501.
Weipeng Yuan, Fanjing Guo, Yarong Gu
School of Digital Economy and Management, Wuxi University, Wuxi, China
Based on panel data from 279 prefecture-level cities in China from 2011 to 2020, this study employs the Undesirable Output-Super Efficiency SBM model to measure the level of Low-Carbon Total Factor Productivity (CTFP), the empirical analysis reveals the spatiotemporal heterogeneous impact of the digital economy on CTFP. The core findings of this research are as follows: First, the development of the digital economy has a significant promoting effect on CTFP, but there exists certain spatial and temporal heterogeneity. Specifically, the enhancing effect of the digital economy on urban CTFP is more pronounced in central and western cities than in eastern cities; stronger in southern cities compared to northern cities; and higher in low-carbon pilot cities than in non-pilot cities, the promoting effect of the digital economy on CTFP shows a periodic attenuation trend corresponding to the Five-Year Plans for National Economic and Social Development. Based on the above findings, this study proposes the following policy recommendations: establishing a hierarchical and categorized digital infrastructure system, implementing region-specific digital decarbonization pathways, and enhancing digital environmental governance mechanisms.
Digital Economy, CTFP, SBM Model
Weipeng Yuan, Fanjing Guo, Yarong Gu. The Impact of the Digital Economy on Low-Carbon Total Factor Productivity: Evidence from Chinese Cities. Academic Journal of Environment & Earth Science (2025), Vol. 7, Issue 5: 1-8. https://doi.org/10.25236/AJEE.2025.070501.
[1] LIN B, ZHOU Y. Does the digital economy improve carbon emission efficiency Evidence from China[J]. Frontiers in Environmental Science, 2023, 11: 1128826.
[2] LI Z, WANG J. The dynamic impact of digital economy on carbon emission reduction: Evidence from China[J]. Science of The Total Environment, 2024, 913: 169662.
[3] XU A, QIU K, ZHU Y. Measurement and analysis of the digital economy's impact on carbon emission intensity[J]. Ecological Indicators, 2023, 154: 110851.
[4] MA Q, MIAO J, DAI B. How does the digital economy affect carbon productivity Evidence from the energy utilization perspective[J]. Energy Policy, 2024, 188: 114067.
[5] ZHAO S, PENG D, WEN H, et al. The impact of digital economy development on carbon emissions: based on the mediating effect of green technology innovation[J]. Environmental Science and Pollution Research, 2022, 29: 69839-69854.
[6] REN S, LIU Z, ZHAO D, et al. The impact of digital economy development on carbon productivity: an analysis based on the mediating and spatial spillover effects[J]. Technology in Society, 2024, 76: 102448.
[7] Lin Z . Assessing the Efficiency of Renewable Energy Sources in Reducing Carbon Footprints in Urban Areas [J]. Academic Journal of Environment & Earth Science, 2025, 7 (2):
[8] Feng S ,Mao Y ,Li G , et al. Enterprise digital transformation, biased technological progress and carbon total factor productivity [J]. Journal of Environmental Planning and Management, 2025, 68 (1): 154-184.
[9] WANG J, LI Z. The spatial spillover effect of digital economy on carbon total factor productivity: evidence from China[J]. Environmental Science and Pollution Research, 2024, 31: 7787-7803.
[10] LIN B, CHEN X. How does carbon dioxide emission change with the economic development Statistical experiences from 132 countries[J]. Global Environmental Change, 2023, 83: 102744.
[11] TONE K. Dealing with undesirable outputs in DEA: a slacks-based measure (SBM) approach[J]. Nippon Opereshonzu, Risachi Gakkai shi (Journal of the Operations Research Society of Japan), 2004, 5(2): 44-45.
[12] LIU W B, MENG W, LI X X, et al. DEA models with undesirable inputs and outputs[J]. Annals of Operations Research, 2010, 173(1): 177-194.
[13] LI H, SHI J F. Energy efficiency analysis on Chinese industrial sectors: An improved Super-SBM model with undesirable outputs[J]. Journal of Cleaner Production, 2014, 65: 97-107.
[14] WANG K, YU S, ZHANG W. China's regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation[J]. Mathematical and Computer Modelling, 2013, 58(5-6): 1117-1127.
[15] OECD. OECD digital economy outlook 2020[R]. Paris: OECD Publishing, 2020.
[16] HUANG Y, HUANG Z. The development of digital finance in China: an overview[J]. China Economic Quarterly International, 2022, 2(1): 1-8.
[17] CHEN S, MAO H, SUN J, et al. How does digital transformation affect urban carbon emission efficiency Evidence from the Yangtze River Economic Belt in China[J]. Journal of Cleaner Production, 2024, 434: 139909.