Assessing the role of financial development in natural resource utilization efficiency: Does artificial intelligence technology matter?

被引:28
作者
Wang, Jianda [1 ]
Wang, Kun [2 ]
Dong, Kangyin [1 ]
Zhang, Shiqiu [3 ]
机构
[1] Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China
[2] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Peoples R China
[3] Shandong Normal Univ, Inst Carbon Neutral, Jinan 250014, Peoples R China
关键词
Natural resource utilization efficiency; Financial development; Artificial intelligence technological innovation; Heterogeneity; China; CHINA;
D O I
10.1016/j.resourpol.2023.103877
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Improving natural resource utilization efficiency (NRUE) in China has become an inevitable requirement for sustainable development in the future, especially in the process of financial development and the application of emerging technologies. Therefore, this paper investigates the nexus among financial development, artificial intelligence (AI) technological innovation, and NRUE by using panel data from 30 provinces in China from 2006 to 2019. We also conduct heterogeneity analyses from the perspective of regions and resources. The main results indicate that financial development reduces NRUE due to inefficient use of natural resources. Moreover, AI technological innovation facilitates NRUE, thereby mitigating the negative influence of financial development on NRUE. Finally, the influence of AI technological innovation development on NRUE improvement is significantly greater in southern Chinese provinces and resource-based provinces. The results of this research provide valuable references for China to enhance the efficient use of natural resources in the future.
引用
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页数:11
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共 76 条
[1]   Was Prometheus unbound by chance? Risk, diversification, and growth [J].
Acemoglu, D ;
Zilibotti, F .
JOURNAL OF POLITICAL ECONOMY, 1997, 105 (04) :709-751
[2]  
[Anonymous], 2017, Resource Efficiency: Potential and Economic Implications - A Report of the International Resource Panel
[3]   Urban energy efficiency assessment models from an AI and big data perspective: Tools for policy makers [J].
Anthopoulos, Leonidas ;
Kazantzi, Vasiliki .
SUSTAINABLE CITIES AND SOCIETY, 2022, 76
[4]   Dynamic interaction between financial development and natural resources: Evaluating the 'Resource curse' hypothesis [J].
Asif, Muhammad ;
Khan, Khan Burhan ;
Anser, Muhammad Khalid ;
Nassani, Abdelmohsen A. ;
Abro, Muhammad Moinuddin Qazi ;
Zaman, Khalid .
RESOURCES POLICY, 2020, 65
[5]   Towards sustainable competitiveness: How does financial development affect dynamic energy efficiency in Belt & Road economies? [J].
Atta Mills, Ebenezer Fiifi Emire ;
Dong, Juan ;
Liu Yiling ;
Baafi, Mavis Agyapomah ;
Li, Bing ;
Zeng, Kailin .
SUSTAINABLE PRODUCTION AND CONSUMPTION, 2021, 27 :587-601
[6]   Assessing the role of natural resource utilization in attaining select sustainable development goals in the era of digitalization [J].
Bansal, Sanchita ;
Singh, Shifali ;
Nangia, Priya .
RESOURCES POLICY, 2022, 79
[7]   Financial Frictions and the Persistence of History: A Quantitative Exploration [J].
Buera, Francisco J. ;
Shin, Yongseok .
JOURNAL OF POLITICAL ECONOMY, 2013, 121 (02) :221-272
[8]   Towards achieving eco-efficiency in top 10 polluted countries: The role of green technology and natural resource rents [J].
Chen, Fu ;
Ahmad, Shoaib ;
Arshad, Salman ;
Ali, Shafaqat ;
Rizwan, Muhammad ;
Saleem, Muhammad Hamzah ;
Driha, Oana M. ;
Balsalobre-Lorente, Daniel .
GONDWANA RESEARCH, 2022, 110 :114-127
[9]   Financial literacy as a determinant of market participation: New evidence from China using IV-GMM [J].
Chen, Haiyang ;
Dai, Ya ;
Guo, David .
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2023, 84 :611-623
[10]   Financial depth or breadth: What really matters for fighting air pollution in China? [J].
Chen, Wen ;
Lu, Huizhong ;
Liu, Xuan ;
Li, Ding .
CHINESE JOURNAL OF POPULATION RESOURCES AND ENVIRONMENT, 2020, 18 (04) :331-341