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How Does Industrial Intellectualization Affect Energy Intensity? Evidence from China

Author

Listed:
  • Haitao Wu
  • Ruohan Zhong
  • Zhen Wang
  • Yuanfeng Qu
  • Xiaodong Yang
  • Yu Hao

Abstract

Since the 21st century, as the digital economy has flourished and the Fourth Industrial Revolution has deepened, emerging technologies have exerted a significant influence on social development, leading to the rapid informatization and digitalization of society. Therefore, in the digital age, industrial intellectualization and energy intensity may interact. In this study, an industrial intelligent system is constructed considering three aspects, and the relationship is explored between industrial intellectualization and energy intensity from 2006 to 2018 in China. Industrial intellectualization can effectively improve energy efficiency and thus restrain energy intensity with a significant lag effect. In addition, China’s energy intensity is highly spatially autocorrelated and spatially agglomerated. The negative spatial spillover effect of industrial intellectualization on energy intensity is also of concern. Finally, the nonlinear effects of industrial intellectualization on energy intensity are comprehensively analyzed under different levels of economic growth, technological progress, industrial restructuring, educational progress, financial development, and environmental regulation.

Suggested Citation

  • Haitao Wu & Ruohan Zhong & Zhen Wang & Yuanfeng Qu & Xiaodong Yang & Yu Hao, 2024. "How Does Industrial Intellectualization Affect Energy Intensity? Evidence from China," The Energy Journal, , vol. 45(2), pages 49-70, March.
    • Handle: RePEc:sae:enejou:v:45:y:2024:i:2:p:49-70
    DOI: 10.5547/01956574.45.2.hawu
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    References listed on IDEAS

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    Cited by:

    1. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    2. Cao, Qian & Feng, Zhiying & Yang, Runze & Yang, Cunyi, 2024. "Conflict and natural resource condition: An examination based on national power heterogeneity," Resources Policy, Elsevier, vol. 89(C).
    3. Zhu, Hongge & Fang, Shuyi & Zhang, Shaopeng & Zhang, Xiaolei & Tian, Yuchen, 2024. "Effects of social capital on energy poverty: Evidence from the national key ecological function zones in Northeast China," Energy, Elsevier, vol. 304(C).
    4. Su, Zhaoxian & Wang, Hao & Zhao, Guanqi & Xie, Chunyu, 2024. "How digital government mediate the influence of fossil fuels on green innovation: Evidence from China's a-share industrial enterprises," Resources Policy, Elsevier, vol. 91(C).
    5. Lin, Boqiang & Xu, Chongchong, 2024. "Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities," Applied Energy, Elsevier, vol. 365(C).
    6. Jin, Yi & Liu, Sinuo & Sun, Yongping & Fang, Jie, 2024. "Energy transition and housing market bubbles: Evidence from prefecture cities in China," Energy Economics, Elsevier, vol. 133(C).

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