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Analysis of the non-linear impact of digital economy development on energy intensity: Empirical research based on the PSTR model

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  • Zhao, Haoran
  • Guo, Sen

Abstract

With the rapid development of digital technologies, digital economy (DE) gradually plays a crucial role in changing the pattern of economic and social development. However, the relationship between the DE and energy intensity is still unclear. To fill this gap, this investigation firstly evaluates the development level of the DE of 30 provincial regions in China from 2013 to 2021. Then the non-linear relationship between the DE development and energy intensity is investigated based on the panel smooth transition (PSTR) model taking real GDP, urbanization rate, the proportion of the secondary industry in GDP, R&D funds for industrial enterprises above designated size, and foreign direct investment as transformation variables. The empirical analysis testifies that the DE development can promote the energy intensity and the relationship between the DE development and energy intensity tends to be an invert U shape under the influence of five transformation variables. Values of conversion variables in most provincial regions have not cross thresholds. Especially, the influence coefficients of the DE development on energy intensity have great space to decline under the impact of urbanization rate and the proportion of the secondary industry in GDP. Therefore, the industrial structure should be continuously optimizing and the process of green urbanization should be accelerating. Moreover, it is necessary to stimulate the integration of digitalization technologies and energy system so as to improve energy allocation efficiency and realize energy conservation and emissions reduction.

Suggested Citation

  • Zhao, Haoran & Guo, Sen, 2023. "Analysis of the non-linear impact of digital economy development on energy intensity: Empirical research based on the PSTR model," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223022612
    DOI: 10.1016/j.energy.2023.128867
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    1. Lijiang Jia & Xiaoli Hu & Zhongwei Zhao & Bin He & Weiming Liu, 2022. "How Environmental Regulation, Digital Development and Technological Innovation Affect China’s Green Economy Performance: Evidence from Dynamic Thresholds and System GMM Panel Data Approaches," Energies, MDPI, vol. 15(3), pages 1-25, January.
    2. Kim, Keungoui & Bounfour, Ahmed & Nonnis, Alberto & Özaygen, Altay, 2021. "Measuring ICT externalities and their contribution to productivity: A bilateral trade based approach," Telecommunications Policy, Elsevier, vol. 45(2).
    3. Ma, Qiang & Mentel, Grzegorz & Zhao, Xin & Salahodjaev, Raufhon & Kuldasheva, Zebo, 2022. "Natural resources tax volatility and economic performance: Evaluating the role of digital economy," Resources Policy, Elsevier, vol. 75(C).
    4. Xiaoyan Li & Jia Liu & Peijie Ni, 2021. "The Impact of the Digital Economy on CO 2 Emissions: A Theoretical and Empirical Analysis," Sustainability, MDPI, vol. 13(13), pages 1-15, June.
    5. Bryan Coyne & Eleanor Denny, 2021. "Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres," Energies, MDPI, vol. 14(22), pages 1-18, November.
    6. Chi-Wei Su & Yannong Xie & Sadaf Shahab & Ch. Muhammad Nadeem Faisal & Muhammad Hafeez & Ghulam Muhammad Qamri, 2021. "Towards Achieving Sustainable Development: Role of Technology Innovation, Technology Adoption and CO 2 Emission for BRICS," IJERPH, MDPI, vol. 18(1), pages 1-13, January.
    7. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    8. Ruijun Duan & Peng Guo, 2021. "Electricity Consumption in China: The Effects of Financial Development and Trade Openness," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    9. Lin William Cong & Danxia Xie & Longtian Zhang, 2021. "Knowledge Accumulation, Privacy, and Growth in a Data Economy," Management Science, INFORMS, vol. 67(10), pages 6480-6492, October.
    10. Xiaoxia Chen & Mélanie Despeisse & Björn Johansson, 2020. "Environmental Sustainability of Digitalization in Manufacturing: A Review," Sustainability, MDPI, vol. 12(24), pages 1-31, December.
    11. Xu, Guangyue & Yang, Hualiu & Schwarz, Peter, 2022. "A strengthened relationship between electricity and economic growth in China: An empirical study with a structural equation model," Energy, Elsevier, vol. 241(C).
    12. An, Hui & Xu, Jianjun & Ma, Xuejiao, 2020. "Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 206-220.
    13. 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).
    14. Johnson, Prince Chacko & Laurell, Christofer & Ots, Mart & Sandström, Christian, 2022. "Digital innovation and the effects of artificial intelligence on firms’ research and development – Automation or augmentation, exploration or exploitation?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    15. Wang, Ping & Han, Wei & Kumail Abbas Rizvi, Syed & Naqvi, Bushra, 2022. "Is Digital Adoption the way forward to Curb Energy Poverty?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    16. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    17. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    18. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    19. Körner, Marc-Fabian & Sedlmeir, Johannes & Weibelzahl, Martin & Fridgen, Gilbert & Heine, Moreen & Neumann, Christoph, 2022. "Systemic risks in electricity systems: A perspective on the potential of digital technologies," Energy Policy, Elsevier, vol. 164(C).
    20. 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).
    21. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    22. Popkova, Elena G. & De Bernardi, Paola & Tyurina, Yuliya G. & Sergi, Bruno S., 2022. "A theory of digital technology advancement to address the grand challenges of sustainable development," Technology in Society, Elsevier, vol. 68(C).
    23. Pan, Xiuzhen & Wei, Zixiang & Han, Botang & Shahbaz, Muhammad, 2021. "The heterogeneous impacts of interregional green technology spillover on energy intensity in China," Energy Economics, Elsevier, vol. 96(C).
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    7. Xiaohua Sun & Danish Khan & Yubai Zheng, 2024. "Articulating the Role of Technological Innovation and Policy Uncertainty in Energy Efficiency: an Empirical Investigation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14597-14616, September.
    8. 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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