Towards low-carbon sustainable development under Industry 4.0: The influence of industrial intelligence on China's carbon mitigation

被引:20
作者
Tian, Hui [1 ]
Qin, Jiaqi [1 ,4 ]
Cheng, Chaoyin [1 ]
Javeed, Sohail Ahmad [2 ]
Chu, Tiansi [3 ]
机构
[1] Cent South Univ, Sch Business, Changsha, Peoples R China
[2] Hunan City Univ, Management Sch, Yiyang, Peoples R China
[3] Chinese Univ Hong Kong, Dept Appl Psychol, Shenzhen, Peoples R China
[4] Cent South Univ, Sch Business, 932 Lushan South Rd, Changsha, Hunan, Peoples R China
关键词
carbon emissions; human capital; industrial intelligence; Industry; 4.0; low-carbon sustainable development; technological innovation; ECONOMIC-GROWTH; CO2; EMISSIONS; PANEL-DATA; ENERGY; TECHNOLOGY; IMPACT; PREDICTION; COUNTRIES; LEVEL; LABOR;
D O I
10.1002/sd.2664
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
Global climate change is becoming an increasingly serious issue. China, the largest carbon emitter, has a long way towards its sustainable development goals (SDGs) and take on its carbon reduction responsibility, especially in the industrial sector. In this vein, industrial intelligence, a key driver in the "Industry 4.0 era", offers an opportunity in this carbon reduction campaign. This paper seeks to examine the influences of industrial intelligence on carbon emissions, their heterogeneous characteristics and transmission mechanisms, and the moderating role of human capital. Therefore, we properly probed theoretical aspects, and then we used China's provincial data from 2006 to 2019 and a number of tests, namely the fixed effect model, the two-stage test, and the moderating effect model, to test the relevant assumptions. We first unfolded that industrial intelligence can significantly mitigate carbon emissions. Specifically, the heterogeneous analysis found that carbon reduction efforts are more pronounced in China's central and western regions and resource-based regions. We further highlight the mechanism identification, which reveals that industrial structure upgrading and technological innovation are the main channels for industrial intelligence to abate CO2 emissions. Importantly, we pinpoint the role of human capital, which positively moderates the relationship between industrial intelligence and carbon emissions and can well amplify the industrial structure effect of industrial intelligence. These results are conducive to accurately assessing the environmental benefits of industrial intelligence and providing policy enlightenment for China to alleviate carbon emissions, and they will also offer a reference for other developing countries to learn from.
引用
收藏
页码:455 / 480
页数:26
相关论文
共 119 条
  • [2] Robots and Jobs: Evidence from US Labor Markets
    Acemoglu, Daron
    Restrepo, Pascual
    [J]. JOURNAL OF POLITICAL ECONOMY, 2020, 128 (06) : 2188 - 2244
  • [3] Automation and New Tasks: How Technology Displaces and Reinstates Labor
    Acemoglu, Daron
    Restrepo, Pascual
    [J]. JOURNAL OF ECONOMIC PERSPECTIVES, 2019, 33 (02) : 3 - 29
  • [4] 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
  • [5] Patents and innovation counts as measures of regional production of new knowledge
    Acs, ZJ
    Anselin, L
    Varga, A
    [J]. RESEARCH POLICY, 2002, 31 (07) : 1069 - 1085
  • [6] Agolla J.E., 2018, DIGITAL TRANSFORMATI, P41, DOI [10.5772/intechopen.73575, DOI 10.5772/INTECHOPEN.73575]
  • [7] Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction
    Agrawal, Ajay
    Gans, Joshua S.
    Goldfarb, Avi
    [J]. JOURNAL OF ECONOMIC PERSPECTIVES, 2019, 33 (02) : 31 - 49
  • [8] SOME TESTS OF SPECIFICATION FOR PANEL DATA - MONTE-CARLO EVIDENCE AND AN APPLICATION TO EMPLOYMENT EQUATIONS
    ARELLANO, M
    BOND, S
    [J]. REVIEW OF ECONOMIC STUDIES, 1991, 58 (02) : 277 - 297
  • [9] Energy prices and economic growth in Pakistan: A macro-econometric analysis
    Arshad, Ameena
    Zakaria, Muhammad
    Xi Junyang
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 55 : 25 - 33
  • [10] The evolution of the natural resource curse thesis: A critical literature survey
    Badeeb, Ramez Abubakr
    Lean, Hooi Hooi
    Clark, Jeremy
    [J]. RESOURCES POLICY, 2017, 51 : 123 - 134