Can artificial intelligence improve green economic growth? Evidence from China

被引:51
作者
Qian, Yu [1 ]
Liu, Jun [2 ]
Shi, Lifan [3 ]
Forrest, Jeffrey Yi-Lin [4 ]
Yang, Zhidan [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China
[2] Wuxi Univ, Sch Business, 333 Xishan Ave, Wuxi 214105, Jiangsu, Peoples R China
[3] Xian Jiaotong Liverpool Univ, Coll Humanities & Social Sci, Suzhou 21500, Peoples R China
[4] Slippery Rock Univ, Dept Accounting Econ Finance, Slippery Rock, PA 16057 USA
基金
中国国家自然科学基金;
关键词
Artificial intelligence; Green economic growth; Dynamic space effect; Space attenuation; CARBON EMISSIONS; INDUSTRY; OPPORTUNITIES; PRODUCTIVITY; EMPLOYMENT; CHALLENGES; MANAGEMENT; EFFICIENCY; ROBOTICS; DEA;
D O I
10.1007/s11356-022-23320-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Not only has artificial intelligence changed the production methods of traditional industries; it has also presented a great opportunity for future industrial development to decouple from environmental degradation and the promotion of green economic growth. The article studies the influence of artificial intelligence on green economic growth and its mechanism. The research shows that (1) artificial intelligence can promote green economic growth in China. After accounting for spatial factors, it was found that artificial intelligence could promote local green economic growth, but had a siphon effect on neighboring green economic growth. From the perspective of dynamic effects, in the short term, artificial intelligence will not significantly dampen green economic growth in neighboring regions. In the long run, artificial intelligence will have a stronger role in promoting green economic growth, and the siphon effect on neighboring cities will be more significant. (2) As the level of human capital increases, the negative spillover effect of artificial intelligence will be significantly weakened. The promotion effect of artificial intelligence on green economic growth is relatively weak in resource-based cities. (3) Artificial intelligence has obvious attenuation characteristics on the spatial spillover effect of green economic growth, but significant influence is limited to within 200 km. (4) Artificial intelligence has the greatest impact on productivity, accounting for 30.59% in promoting green economic growth. The green innovation effect was 0.0181, accounting for 5.64%. The resource allocation effect is 0.0011, accounting for 3.44%. This paper provides policy enlightenment for promoting industrial intelligence and green economic growth.
引用
收藏
页码:16418 / 16437
页数:20
相关论文
共 96 条
[1]   The wrong kind of AI? Artificial intelligence and the future of labour demand [J].
Acemoglu, Daron ;
Restrepo, Pascual .
CAMBRIDGE JOURNAL OF REGIONS ECONOMY AND SOCIETY, 2020, 13 (01) :25-35
[2]   The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment [J].
Acemoglu, Daron ;
Restrepo, Pascual .
AMERICAN ECONOMIC REVIEW, 2018, 108 (06) :1488-1542
[3]   Return of the Solow Paradox? IT, Productivity, and Employment in US Manufacturing [J].
Acemoglu, Daron ;
Autor, David ;
Dorn, David ;
Hanson, Gordon H. ;
Price, Brendan .
AMERICAN ECONOMIC REVIEW, 2014, 104 (05) :394-399
[4]  
Aghion P, 2018, ARTIF INTELL, P237
[5]   A clean technological innovation and eco-efficiency enhancement: A multi-index assessment of sustainable economic and environmental management [J].
Ali, Syed Ahtsham ;
Alharthi, Majed ;
Hussain, Hafezali Iqbal ;
Rasul, Farhat ;
Hanif, Imran ;
Haider, Jahanzaib ;
Ullah, Saad ;
Ur Rahman, Saeed ;
Abbas, Qaiser .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 166
[6]  
[Anonymous], 2020, GLOBAL CLIMATE CHANG
[7]   Promise and shortcomings of a green turn in recent policy responses to the "double crisis" [J].
Bina, Olivia ;
La Camera, Francesco .
ECOLOGICAL ECONOMICS, 2011, 70 (12) :2308-2316
[8]   Artificial Intelligence in the NHS: Climate and Emissions [J].
Bloom, Ps ;
Clutton-Brock, P. ;
Pencheon, E. ;
Magnusson, J. ;
Karpathakis, K. .
JOURNAL OF CLIMATE CHANGE AND HEALTH, 2021, 4
[9]  
Brynjolfsson E, 2019, 1 ARTIFICIAL INTELLI
[10]   Impact of financial development and technological innovation on the volatility of green growth-evidence from China [J].
Cao, Jianhong ;
Law, Siong Hook ;
Samad, Abdul Rahim Bin Abdul ;
Mohamad, Wan Norhidayah Binti W. ;
Wang, Jianlong ;
Yang, Xiaodong .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (35) :48053-48069