Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities

被引:11
作者
Lin, Boqiang [1 ]
Xu, Chongchong [1 ]
机构
[1] Xiamen Univ, China Inst Studies Energy Policy, Sch Management, Xiamen 361005, Fujian, Peoples R China
关键词
Industrial intelligence; Energy -environmental performance; Technological innovation; Industrial agglomeration; Labor upgrading; ARTIFICIAL-INTELLIGENCE; LOW-SKILL; ROBOTS; PRODUCTIVITY; POLLUTION; EFFICIENCY; GROWTH; GREEN;
D O I
10.1016/j.apenergy.2024.123245
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Industrial intelligence optimizes resource allocation and enhances productivity, but discussions on its potential to empower green growth are inadequate. Utilizing panel data for 279 Chinese cities from 2008 to 2019, this study investigates the effect of industrial intelligence on urban energy-environmental performance. The findings reveal that industrial intelligence enhances urban energy-environmental performance. Technological innovation, industrial agglomeration and labor upgrading constitute critical conduits for reaping such benefits. Heterogeneity analysis demonstrates that industrial intelligence has more pronounced effects in non-resource-based cities, nonold industrial base cities, big cities and megacities. Our findings impart valuable insights to guide policymaking for expediting China's industrial intelligence advancement and facilitating sustainable urban industrial development.
引用
收藏
页数:13
相关论文
共 87 条
  • [1] Robots and Jobs: Evidence from US Labor Markets
    Acemoglu, Daron
    Restrepo, Pascual
    [J]. JOURNAL OF POLITICAL ECONOMY, 2020, 128 (06) : 2188 - 2244
  • [2] The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment
    Acemoglu, Daron
    Restrepo, Pascual
    [J]. AMERICAN ECONOMIC REVIEW, 2018, 108 (06) : 1488 - 1542
  • [3] Low-Skill and High-Skill Automation
    Acemoglu, Daron
    Restrepo, Pascual
    [J]. JOURNAL OF HUMAN CAPITAL, 2018, 12 (02) : 204 - 232
  • [4] Aghion P., 2022, The Review of Economics and Statistics, P1
  • [5] Is free trade good for the environment?
    Antweiler, W
    Copeland, BR
    Taylor, MS
    [J]. AMERICAN ECONOMIC REVIEW, 2001, 91 (04) : 877 - 908
  • [6] The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market
    Autor, David H.
    Dorn, David
    [J]. AMERICAN ECONOMIC REVIEW, 2013, 103 (05) : 1553 - 1597
  • [7] Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model
    Bai, Ling
    Guo, Tianran
    Xu, Wei
    Liu, Yaobin
    Kuang, Ming
    Jiang, Lei
    [J]. ENERGY POLICY, 2023, 183
  • [8] The Declining Labor Market Prospects of Less-Educated Men
    Binder, Ariel J.
    Bound, John
    [J]. JOURNAL OF ECONOMIC PERSPECTIVES, 2019, 33 (02) : 163 - 190
  • [9] Digital finance, green technological innovation and energy-environmental performance: Evidence from China's regional economies
    Cao, Shaopeng
    Nie, Liang
    Sun, Huaping
    Sun, Weifeng
    Taghizadeh-Hesary, Farhad
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 327
  • [10] Carley S., 2022, Front. Sustain. Energy Policy, V1, DOI [10.3389/fsuep.2022.1063207, DOI 10.3389/FSUEP.2022.1063207]