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The Impact of Data Element Marketization on Green Total Factor Energy Efficiency: Empirical Evidence from China

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  • Ying Peng

    (School of Economics and Management, Changchun University of Technology, Changchun 130012, China
    Collaborative Innovation Center for Green and Low Carbon Development, Changchun University of Technology, Changchun 130012, China)

  • Xinyue Wang

    (School of Economics and Management, Changchun University of Technology, Changchun 130012, China)

  • Weilong Gao

    (Institute of National Development and Security Studies, Jilin University, Changchun 130012, China)

Abstract

Given the escalating severity of climate change and environmental degradation, the transition to green and low-carbon energy has become a strategic priority for China’s economic development. Green total factor energy efficiency (GTFEE), which captures energy utilization efficiency while accounting for environmental constraints and desirable outputs, has emerged as a key indicator for evaluating green energy transition performance. Data element marketization (DEM), as a vital institutional innovation, provides new impetus for accelerating the transition to green and low-carbon energy. This study leveraged the establishment of China’s data trading platforms as a quasi-natural experiment to systematically assess the effects, mechanisms, and spatial heterogeneity of DEM on urban GTFEE. The findings reveal that DEM has a statistically significant positive impact on urban GTFEE in the short term, while demonstrating a gradual diminishing marginal effect over the long term. Furthermore, this study uncovered heterogeneous effects based on factors such as city type, urban energy intensity, and new-energy pilot, as well as urban government governance capacity. Mechanism analysis demonstrated that DEM enhances urban GTFEE by accelerating the generation of data elements and fostering their deep integration with artificial intelligence (AI). Spatial analysis indicated that, while DEM significantly improves GTFEE in local cities, it generates negative spillover effects on neighboring cities due to the persistence of the digital divide.

Suggested Citation

  • Ying Peng & Xinyue Wang & Weilong Gao, 2025. "The Impact of Data Element Marketization on Green Total Factor Energy Efficiency: Empirical Evidence from China," Sustainability, MDPI, vol. 17(9), pages 1-25, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:4099-:d:1647887
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    as
    1. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    2. Wang, Dingqing & Liao, Hongwei & Liu, Aiguo & Li, Dongdong, 2023. "Natural resource saving effects of data factor marketization: Implications for green recovery," Resources Policy, Elsevier, vol. 85(PA).
    3. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
    4. Jiaxing Gu & Shouzhen Zeng & Wendi Chen & Tomas Balezentis & Vaida Sapolaite, 2024. "Tracking sustainable development from the dual perspective of environmental and economic performance: A dynamic framework and coupling coordination degree," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(4), pages 2962-2975, August.
    5. Huang, Chenchen & Lin, Boqiang, 2024. "Digital economy solutions towards carbon neutrality: The critical role of energy efficiency and energy structure transformation," Energy, Elsevier, vol. 306(C).
    6. Ren, Zhuoya & Bo, Yuan & Lei, Yuanye, 2025. "Green financial policy, environmental regulation, and energy use efficiency," Finance Research Letters, Elsevier, vol. 74(C).
    7. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    8. Honghe Li & Xiaotian Du & Xiang-Wu Yan & Ning Xu, 2024. "Digital Transformation and Urban Green Development: Evidence from China’s Data Factor Marketization," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    9. Long, Yan & Liu, Liangcan & Yang, Bing, 2024. "The effects of enterprise digital transformation on low-carbon urban development: Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
    10. Shen, Jinlong & Zhang, Yu & Chen, Xiaonan, 2024. "Environmental regulation and energy consumption transition of rural residents: A case of China," Energy, Elsevier, vol. 310(C).
    11. Wang, Yafei & Shi, Ming & Zhao, Zihan & Liu, Junnan & Zhang, Shiqiu, 2025. "How does green finance improve the total factor energy efficiency? Capturing the mediating role of green management innovation and embodied technological progress," Energy Economics, Elsevier, vol. 142(C).
    12. Yinlong Li & Jingjing Zhang, 2024. "Research on the Carbon Emission Reduction Effect of the Dual Pilot Policy of Low-Carbon Cities and New Energy Demonstration Cities," Sustainability, MDPI, vol. 16(21), pages 1-16, November.
    13. Qiang Wang & Yunfei Ge & Rongrong Li, 2025. "Does improving economic efficiency reduce ecological footprint? The role of financial development, renewable energy, and industrialization," Energy & Environment, , vol. 36(2), pages 729-755, March.
    14. Zhuoxi Yu & Shan Liu & Zhichuan Zhu, 2022. "Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    15. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
    16. Priyanka Mishra & Ghanshyam Singh, 2023. "Energy Management Systems in Sustainable Smart Cities Based on the Internet of Energy: A Technical Review," Energies, MDPI, vol. 16(19), pages 1-36, September.
    17. Zhou, Wei & Zhuang, Yan & Chen, Yan, 2024. "How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology," Energy Economics, Elsevier, vol. 131(C).
    18. Ma, Shuaiyin & Ding, Wei & Liu, Yang & Ren, Shan & Yang, Haidong, 2022. "Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries," Applied Energy, Elsevier, vol. 326(C).
    19. Wu, Tao & Xu, Wenxuan & Kung, Chih-Chun, 2025. "The impact of data elements on urban sustainable development: Evidence from the big data policy in China," Technology in Society, Elsevier, vol. 81(C).
    20. Jinli Wang & Libo Feng, 2024. "Improving the Regional Science and Technology Innovation Ability under the Background of Data Element Marketization: Insights from the Yunnan Province," Sustainability, MDPI, vol. 16(16), pages 1-14, August.
    21. Yaozu Xue, 2022. "Evaluation analysis on industrial green total factor productivity and energy transition policy in resource-based region," Energy & Environment, , vol. 33(3), pages 419-434, May.
    22. Zhong, Changbiao & Zhang, Chao, 2024. "Can data elements enhance urban innovation? Evidence from China," China Economic Review, Elsevier, vol. 88(C).
    23. Vangelis Marinakis, 2020. "Big Data for Energy Management and Energy-Efficient Buildings," Energies, MDPI, vol. 13(7), pages 1-18, March.
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