Chinese economic growth and sustainable development: Role of artificial intelligence and natural resource management

Yanjun Wang and Yongfang Li

Resources Policy, 2023, vol. 85, issue PB

Abstract: The study's objectives are to examine the effect of artificial intelligence and natural resource on China's economic growth from 1981 to 2021, along with other explanatory variables, including interest rate, inflation, trade openness, and government expenditures. The research incorporates the asymmetric effect of artificial intelligence on economic progress. Using the Nonlinear Autoregressive Distributed Lag (NARDL) method and bound test, it is concluded that Artificial Intelligence and Natural Resource Management tend to increase economic growth. The asymmetric effects of artificial intelligence provide an increasing trend for the positive component whereas decreasing trend for the harmful constituent. In addition, interest rates and inflation were found to affect economic growth in the short and long run negatively. Trade openness and government expenditures show adverse effects in the short run but positive in the long run. The analysis of this study is pivotal for policymakers for efficacious monetary and fiscal policies, efficient utilization of resources, and exploration of more resources for increased sustainable economic growth.

Keywords: Artificial intelligence; Natural resources; Phillips-perron; NARDL; Bound test; Asymmetric; Sustainable growth (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:85:y:2023:i:pb:s0301420723007079

DOI: 10.1016/j.resourpol.2023.103996

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