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Study on the Synergistic Evolutionary Effects of China’s Digital Economy Core Industry and Energy Industry Based on DEA Malmquist Synergistic Development Model and Grey Correlation Analysis

Author

Listed:
  • Guoteng Xu

    (State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China)

  • Jingwei Zhu

    (State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China)

  • Chengjiang Li

    (School of Management, Guizhou University, Guiyang 550025, China)

  • Jingtong Shan

    (School of Public Policy and Urban Affairs, Northeastern University, Boston, MA 02118, USA)

Abstract

The burgeoning digital economy has facilitated a transformation and upgraded within the energy industry, which, in return, continually guarantees robust energy security for the expansion of the digital economy. China’s digital economy and energy sector have increasingly merged and innovated in the domains of technology, market, and operations in recent years. Consequently, an accurate assessment of the interplay between these two sectors and their evolving patterns is vital for policy formulation and execution concerning their joint development. Drawing on 14,520 authoritative departmental statistics from 30 Chinese provinces spanning 2011 to 2021, this study applies techniques such as Data Envelopment Analysis (DEA)-Malmquist, grey correlation, and objective empowerment to develop a quantitative evaluation model for the reciprocal evolution of these industries finding that the own synergistic evolutionary effect of these two industries experienced fluctuations, declining from 0.8512 and 0.7535 in 2012 to 0.4590 and 0.4378 in 2021, respectively. Conversely, the comprehensive synergistic evolutionary effect between industries increased from 0.5879 in 2012 to 0.6841 in 2021. Building upon these findings, a series of development proposals are put forth to provide valuable insights and recommendations for advancing the high-level coordinated development of China’s digital economy and energy industry.

Suggested Citation

  • Guoteng Xu & Jingwei Zhu & Chengjiang Li & Jingtong Shan, 2023. "Study on the Synergistic Evolutionary Effects of China’s Digital Economy Core Industry and Energy Industry Based on DEA Malmquist Synergistic Development Model and Grey Correlation Analysis," Sustainability, MDPI, vol. 15(13), pages 1-26, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10382-:d:1184374
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    References listed on IDEAS

    as
    1. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    2. Acheampong, Alex O. & Boateng, Elliot & Amponsah, Mary & Dzator, Janet, 2021. "Revisiting the economic growth–energy consumption nexus: Does globalization matter?," Energy Economics, Elsevier, vol. 102(C).
    3. Bruno, Giuseppe & Diglio, Antonio & Piccolo, Carmela & Pipicelli, Eduardo, 2023. "A reduced Composite Indicator for Digital Divide measurement at the regional level: An application to the Digital Economy and Society Index (DESI)," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    4. Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
    5. Zhou, Fengxiu & Wen, Huwei & Lee, Chien-Chiang, 2022. "Broadband infrastructure and export growth," Telecommunications Policy, Elsevier, vol. 46(5).
    6. Muhammad, Sulaman & Pan, Yanchun & Agha, Mujtaba Hassan & Umar, Muhammad & Chen, Siyuan, 2022. "Industrial structure, energy intensity and environmental efficiency across developed and developing economies: The intermediary role of primary, secondary and tertiary industry," Energy, Elsevier, vol. 247(C).
    7. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    8. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    11. Muhammad Imran & Xiangyang Liu & Rongyu Wang & Shah Saud & Yun Zhao & Muhammad Jalal Khan, 2022. "The Influence of Digital Economy and Society Index on Sustainable Development Indicators: The Case of European Union," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    12. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    13. Hao, Yu & Li, Ying & Guo, Yunxia & Chai, Jingxia & Yang, Chuxiao & Wu, Haitao, 2022. "Digitalization and electricity consumption: Does internet development contribute to the reduction in electricity intensity in China?," Energy Policy, Elsevier, vol. 164(C).
    14. Shahzad, Umer & Doğan, Buhari & Sinha, Avik & Fareed, Zeeshan, 2021. "Does Export product diversification help to reduce energy demand: Exploring the contextual evidences from the newly industrialized countries," Energy, Elsevier, vol. 214(C).
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