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Measurement of the integration level between the digital economy and industry and its impact on energy consumption

Author

Listed:
  • Yongrong Xin

    (Business School, Jiangsu Open University)

  • Hang Song

    (Shanghai National Accounting Institute)

  • Zhiyang Shen

    (IÉSEG School Of Management [Puteaux], LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Jiangquan Wang

    (School of Internet Economics and Business, Fujian University of Technology)

Abstract

The integration of the digital economy and industry is the product of economic and social development and acts as an important driving force for conserving energy and reducing emissions. This study establishes the measurement index system of the integration level between the digital economy and industry from basis, conditions, and application of integration. Taking China as the research sample, this study chose 1999–2018 as the research period. The entropy weight TOPSIS method was employed to determine the integration level between the digital economy and industry. Next, a Bayesian vector autoregressive model was utilized to quantitatively analyze the impact of China's integration level between the digital economy and industry on energy consumption. The results indicate that China's integration level between the digital economy and industry shows a fluctuating upward trend with slow growth during the study period, and still has great development potential. The improvement of China's integration level between the digital economy and industry is conducive to the improvement of industrial energy efficiency, its consumption structure and environmental protection. Among them, the integration level between the digital economy and industry contributes the most to the change in the energy consumption structure and has the lightest impact on energy efficiency. Therefore, the government might make full use of green financial services to promote the integrated development of the digital economy and industry so as to achieve energy transformation and sustainable development.

Suggested Citation

  • Yongrong Xin & Hang Song & Zhiyang Shen & Jiangquan Wang, 2023. "Measurement of the integration level between the digital economy and industry and its impact on energy consumption," Post-Print hal-04274839, HAL.
  • Handle: RePEc:hal:journl:hal-04274839
    DOI: 10.1016/j.eneco.2023.106988
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    Cited by:

    1. Bai, Haoyu & Chen, Yuntan & Zhang, Ziyu, 2025. "Exploring the mitigating role of sustainable innovation in supply chain disruption risks under the digital economy," International Review of Economics & Finance, Elsevier, vol. 103(C).
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    3. Zhao, Fan & Li, Ruirui & Wu, Ziyin & Ru, Xue, 2025. "Can the integration of digital and real economies stimulate residents' consumption?," International Review of Financial Analysis, Elsevier, vol. 103(C).
    4. Jinqi Su & Changhong Dong & Ke Su & Lin He, 2023. "Research on the Construction of Digital Economy Index System Based on K-means-SA Algorithm," SAGE Open, , vol. 13(4), pages 21582440231, December.
    5. Sun, Guanglin & Fang, Jiming & Li, Jinning & Wang, Xiaolin, 2024. "Research on the impact of the integration of digital economy and real economy on enterprise green innovation," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Jiang, Zeru & Yuan, Chunlai & Xu, Jingru, 2024. "The impact of digital government on energy sustainability: Empirical evidence from prefecture-level cities in China," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    7. Liu, Baoliu & Huang, Yujie & Chen, Mengmei & Lan, Zirui, 2024. "Towards sustainability: How does the digital-real integration affect regional green development efficiency?," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 42-59.
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    9. Zhong, Kaijun & Lei, Yalin & Zhao, Jun & Jiang, Yong, 2025. "How to enhance China's total-factor energy efficiency via digital-real economy integration: New evidence from dynamic QCA analysis," Energy Economics, Elsevier, vol. 148(C).
    10. Shoufu Lin & Quan Lin & Qian Wang & Chenyong Shi & Marcel Ausloos, 2025. "Driving Green Transformation Through the National Digital Economy Innovation Pilot: A Quasi-Experimental Study on Reducing Urban Energy Intensity in 282 Chinese Cities," Sustainability, MDPI, vol. 17(13), pages 1-21, June.
    11. Xu, Jingru & Yang, Baochen & Yuan, Chunlai, 2024. "Enhancing natural resource efficiency through digital government: Evidence from the utilization of energy, water, and land resources," Resources Policy, Elsevier, vol. 94(C).
    12. Peng, Hua-Rong & Qin, Xiong-Feng, 2024. "Digitalization as a trigger for a rebound effect of electricity use," Energy, Elsevier, vol. 300(C).
    13. Chun Fu & Wang Ouyang, 2025. "Level of Integration of Real and Digital Economies: Effects and Mechanisms of Environmental Pollution Impacts," Sustainability, MDPI, vol. 17(9), pages 1-20, May.
    14. He, Ruifang & Liao, Xianchun & Xu, Yujie, 2025. "How does digital transformation affect high-quality development of China's power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 217(C).
    15. Wang, Yafei & Shi, Ming & Liu, Junnan & Zhong, Min & Ran, Rong, 2025. "The impact of digital-real integration on energy productivity under a multi-governance framework: The mediating role of AI and embodied technological progress," Energy Economics, Elsevier, vol. 142(C).
    16. Huang, Chenchen & Lin, Boqiang, 2024. "How digital economy index selection and model uncertainty will affect energy green transition," Energy Economics, Elsevier, vol. 136(C).
    17. Sun, Guanglin & Yin, Ding & Kong, Tao & Yin, Lei, 2024. "The impact of the integration of the digital economy and the real economy on the risk of stock price collapse," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    18. Aiqin Zhang & Wenjie Zhang & Xiaoqiang Guo, 2024. "The Digital Economy, Integration of Productive Services and Manufacturing, and High-Quality Development of the Manufacturing Sector: Evidence from China," Sustainability, MDPI, vol. 16(23), pages 1-22, November.
    19. Chen, Jinrui & Zhang, Yichang, 2025. "Substantive change or strategic response? Digital industrial convergence policy and urban green innovation," Innovation and Green Development, Elsevier, vol. 4(1).
    20. Xu, Ru-Yu & Wang, Ke-Liang & Miao, Zhuang, 2024. "Exploring the impact of digital industry agglomeration on provincial energy efficiency in China: A panel data analysis from 2012 to 2020," Energy, Elsevier, vol. 313(C).
    21. Hongyang Yu & Jinchao Wang & Jiajun Xu & Binghao Ding, 2025. "Does digital economy agglomeration promote green economy efficiency? A spatial spillover and spatial heterogeneity perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(3), pages 7379-7406, March.
    22. Li-Qun Ji & Ling-Jia Yu, 2024. "Sustainability Challenges: Energy Consumption And Carbon Emissions In The Yangtze River Delta (Yrd) Region In China," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 16(4), pages 36-45, December.
    23. Tao Ge & Zixuan Hao & Yuan Chen, 2025. "How environmental policy synergy can enhance urban ecological resilience: insights from text mining analysis in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-11, December.
    24. Huo, Da & Gu, Wenjia & Guo, Dongmei & Tang, Aidi, 2024. "The service trade with AI and energy efficiency: Multiplier effect of the digital economy in a green city by using quantum computation based on QUBO modeling," Energy Economics, Elsevier, vol. 140(C).

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