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Digital Government Construction, Bidirectional Interaction Between Technological and Spiritual Civilization, and Achieving Dual Control of Sustainable Energy: Causal Inference Using Spatial DID and Dual Machine Learning

Author

Listed:
  • Xinle Zheng

    (Business School, Ningbo University, Ningbo 315211, China)

  • Linrong Yu

    (Business School, Ningbo University, Ningbo 315211, China)

  • Qi Liu

    (Business School, Ningbo University, Ningbo 315211, China)

  • Rui Xu

    (Business School, Ningbo University, Ningbo 315211, China)

  • Junyan Tang

    (School of Energy and Environment, City University of Hong Kong, Hong Kong 999077, China)

  • Xinyuan Yu

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Kun Lv

    (Business School, Ningbo University, Ningbo 315211, China
    Ningbo Urban Civilization Research Institute, Ningbo 315211, China)

Abstract

This study aims to elucidate the mechanisms through which digital government construction influences regional dual control of energy consumption (encompassing both the total volume and intensity of energy use), with a particular emphasis on exploring its indirect effects mediated by the synergistic advancement of technological and spiritual civilizations. Drawing on provincial panel data from China, we establish a nested framework that integrates spatial difference-in-differences models with double machine learning models to systematically dissect the transmission pathway linking digital government construction, the synergy between technological and spiritual civilizations, and the dual control of energy consumption. Our findings indicate the following: (1) Digital government construction significantly enhances the dual control of regional total energy consumption and energy intensity through policy coordination and optimized resource allocation. (2) While the progression of technological civilization plays a notable intermediary role in reducing energy intensity, its impact on total energy consumption is constrained by the “Jevons paradox”. (3) Advancements in spiritual civilization concurrently promote the alleviation of both total energy consumption and energy intensity by reshaping social consensus and behavioral norms. (4) The synergistic effects of technological and spiritual civilizations further amplify the efficacy of the dual control of energy consumption, although digital government construction exhibits a pronounced spatial polarization effect on energy intensity in neighboring regions. The theoretical contributions of this study are as follows: Firstly, it proposes the governance paradigm of digital government as a “technology–culture” collaborative hub, breaking through the binary opposition between technological determinism and institutional embeddedness. Secondly, it constructs a “feasible ability” expansion model to reveal the complementary mechanism between scientific and technological civilization (technology acquisition ability) and spiritual civilization (value selection ability). Thirdly, the policy black box is deconstructed through methodological innovation and provides a systematic path for emerging economies to solve the “efficiency–equity” dilemma of energy governance.

Suggested Citation

  • Xinle Zheng & Linrong Yu & Qi Liu & Rui Xu & Junyan Tang & Xinyuan Yu & Kun Lv, 2025. "Digital Government Construction, Bidirectional Interaction Between Technological and Spiritual Civilization, and Achieving Dual Control of Sustainable Energy: Causal Inference Using Spatial DID and Du," Sustainability, MDPI, vol. 17(11), pages 1-43, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:4975-:d:1666831
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    as
    1. Bie, Fan & Zhou, Luyao & Liu, Shuo & Yang, Tao, 2024. "Government digital transformation, resource curse and green total factor energy efficiency in Chinese cities," Resources Policy, Elsevier, vol. 92(C).
    2. Nižetić, Sandro & Arici, Müslüm & Shahsavar, Amin & Li, Dong & Doranehgard, Mohammad Hossein, 2025. "The role of smart technologies in energy engineering," Energy, Elsevier, vol. 321(C).
    3. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018. "Double/debiased machine learning for treatment and structural parameters," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
    4. Zemenghong Bao & Zhisen Lin & Tiantian Jin & Kun Lv, 2024. "Regional Breakthrough Innovation Change Strategies, Ecological Location Suitability of High-Tech Industry Innovation Ecosystems, and Green Energy," Energies, MDPI, vol. 17(16), pages 1-34, August.
    5. Songsong Chen & Feixiang Gong & Mingqiang Zhang & Jindou Yuan & Siyang Liao & Hongyin Chen & Dezhi Li & Shiming Tian & Xiaojian Hu, 2021. "Planning and Scheduling for Industrial Demand-Side Management: State of the Art, Opportunities and Challenges under Integration of Energy Internet and Industrial Internet," Sustainability, MDPI, vol. 13(14), pages 1-18, July.
    6. Toopshekan, Ashkan & Ahmadi, Esmaeil & Abedian, Ali & Vaziri Rad, Mohammad Amin, 2024. "Techno-economic analysis, optimization, and dispatch strategy development for renewable energy systems equipped with Internet of Things technology," Energy, Elsevier, vol. 296(C).
    7. Zhao, Shuliang & Teng, Linjiao & Arkorful, Vincent Ekow & Hu, Hui, 2023. "Impacts of digital government on regional eco-innovation: Moderating role of dual environmental regulations," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    8. Guang Chen & Yue Deng & Apurbo Sarkar & Zhengbing Wang, 2022. "An Integrated Assessment of Different Types of Environment-Friendly Technological Progress and Their Spatial Spillover Effects in the Chinese Agriculture Sector," Agriculture, MDPI, vol. 12(7), pages 1-24, July.
    9. Zhilun Jiao & Zixuan Xia, 2025. "Is the Digital Divide Inhibiting Urban Energy Transitions?—Evidence from China," Energies, MDPI, vol. 18(4), pages 1-23, February.
    10. 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).
    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. Huo, Da & Zhang, Xiaotao & Meng, Shuang & Wu, Gang & Li, Junhang & Di, Ruoqi, 2022. "Green finance and energy efficiency: Dynamic study of the spatial externality of institutional support in a digital economy by using hidden Markov chain," Energy Economics, Elsevier, vol. 116(C).
    13. Janusz Kotowicz & Kamil Niesporek & Oliwia Baszczeńska, 2025. "Advancements and Challenges in Direct Air Capture Technologies: Energy Intensity, Novel Methods, Economics, and Location Strategies," Energies, MDPI, vol. 18(3), pages 1-21, January.
    14. Zhang, Minqiang & Hou, Jia & Liu, Yishu, 2025. "Achieving development goals via digital government strategies for a sustainable digital economy that integrate natural resource governance and energy security," Resources Policy, Elsevier, vol. 101(C).
    15. Feng, Yanchao & Han, Yizhuo & Hu, Shilei & Pan, Yuxi, 2025. "Alleviating energy poverty globally: Does digital government matter?," Energy Economics, Elsevier, vol. 143(C).
    16. Ali Amiri & Juudit Ottelin & Jaana Sorvari & Seppo Junnila, 2020. "Economic and Technical Considerations in Pursuing Green Building Certification: A Case Study from Iran," Sustainability, MDPI, vol. 12(2), pages 1-14, January.
    17. He, Weijun & Li, Wanyu & Wang, Chun & Wang, Siyuan & Yang, Yuantao, 2024. "Does energy resource misallocation affect energy utilization efficiency? Evidence from Chinese provincial panel data," Energy, Elsevier, vol. 288(C).
    18. Xu, Zhiyi & Yang, Jindi, 2025. "Impact of digital finance on rural industry revitalization," International Review of Economics & Finance, Elsevier, vol. 97(C).
    19. Liu, Jie & Siano, Pierluigi & Wu, Kejia, 2025. "Exploration of drivers for energy regulatory process reengineering in the digital era: The grounded theory approach," Energy, Elsevier, vol. 316(C).
    20. Wang, Qingxi & Hu, An & Tian, Zhihua, 2022. "Digital transformation and electricity consumption: Evidence from the Broadband China pilot policy," Energy Economics, Elsevier, vol. 115(C).
    21. Mirzaee, Ashkan & McGarvey, Ronald G. & Aguilar, Francisco X., 2024. "Feasibility of satisfying projected biopower demands in support of decarbonization interventions: A spatially-explicit cost optimization model applied to woody biomass in the eastern US," Energy Economics, Elsevier, vol. 136(C).
    22. Mustakimah Mohamed & Nur Diyana Zakuan & Tengku Nur Adibah Tengku Hassan & Serene Sow Mun Lock & Azmi Mohd Shariff, 2024. "Global Development and Readiness of Nuclear Fusion Technology as the Alternative Source for Clean Energy Supply," Sustainability, MDPI, vol. 16(10), pages 1-37, May.
    23. Ashkan Mirzaee & Ronald Mcgarvey & Francisco Aguilar, 2024. "Feasibility of satisfying projected biopower demands in support of decarbonization interventions: A spatially-explicit cost optimization model applied to woody biomass in the eastern US," Post-Print hal-04834084, HAL.
    24. Ahl, Amanda & Goto, Mika & Yarime, Masaru & Tanaka, Kenji & Sagawa, Daishi, 2022. "Challenges and opportunities of blockchain energy applications: Interrelatedness among technological, economic, social, environmental, and institutional dimensions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    25. Zheng, Nan & Wang, Qiushi & Ding, Xingqi & Zhang, Hanfei & Duan, Liqiang & Wang, Xiaomeng & Zhou, Yufei & Sun, Mingjia & Desideri, Umberto, 2024. "Techno-economic analysis of a novel solar-based polygeneration system integrated with vanadium redox flow battery and thermal energy storage considering robust source-load response," Applied Energy, Elsevier, vol. 376(PB).
    26. Bleda, Mercedes & del Río, Pablo, 2013. "The market failure and the systemic failure rationales in technological innovation systems," Research Policy, Elsevier, vol. 42(5), pages 1039-1052.
    27. Tan, Weijie & Zhang, Zihan & Chu, Zhongzhu & Chen, Pengyu, 2024. "Unlocking green potential: The digital government-driven revolution in corporate green innovation," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 60-79.
    28. Steffen, Bjarne & Matsuo, Tyeler & Steinemann, Davita & Schmidt, Tobias S., 2018. "Opening new markets for clean energy: The role of project developers in the global diffusion of renewable energy technologies," Business and Politics, Cambridge University Press, vol. 20(4), pages 553-587, December.
    29. Destek, Mehmet Akif & Hossain, Mohammad Razib & Manga, Müge & Destek, Gamze, 2024. "Can digital government reduce the resource dependency? Evidence from method of moments quantile technique," Resources Policy, Elsevier, vol. 99(C).
    30. Movsessian, Maria Mercedes & Oyewo, Ayobami Solomon & Aghahosseini, Arman & Breyer, Christian, 2025. "Enabling Central America's energy transition through renewable energy, energy citizenship, and regional integration," Applied Energy, Elsevier, vol. 377(PB).
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