自然资源
生产力
全要素生产率
可再生能源
消费(社会学)
能源消耗
自然资源经济学
技术进步
环境经济学
经济
产业组织
工程类
经济增长
生态学
生物
社会科学
宏观经济学
社会学
电气工程
作者
Lei Chang,Farhad Taghizadeh–Hesary,Muhammad Mohsin
出处
期刊:Resources Policy
[Elsevier BV]
日期:2023-03-30
卷期号:82: 103508-103508
被引量:148
标识
DOI:10.1016/j.resourpol.2023.103508
摘要
The energy consumption structure is now shifting from using fossil fuels to using renewable energy. Thus it is crucial to research if decreasing energy use can genuinely boost green total factor productivity (GTFP) and how to reconcile the link between reducing energy consumption and GTFP using various technical approaches. This study proposes the two-way influence of Artificial Intelligence (AI) and natural resources market on GTFP. It comprehensively evaluates the effects of AI on green economic development using the instance of China and a pertinent mathematical model. We found that the impacts of AI on carbon intensity vary between industries and developmental phases. Compared to the 11th Five-Year Plan, AI significantly reduced carbon intensity during the 12th. Compared to capital-intensive businesses, labor- and technology-intensive industries likely have a more significant drop in carbon intensity due to AI and natural resources market.
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