How artificial intelligence affects carbon intensity: heterogeneous and mediating analyses
Author:
Funder
The National Social Science Foundation of China Post-grant Program
Shaanxi Provincial Social Science Foundation Program
Key Project of Shaanxi Provincial Soft Science Research Program
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10668-024-05085-4.pdf
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3. Acemoglu, D., Aghion, P., Bursztyn, L., & Hemous, D. (2012). The environment and directed technical change. American Economic Review, 102, 131–166.
4. Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108, 1488–1542.
5. Ajay K, John M, Alexander O (2022) A Model of AI Scientific Discovery and Innovation.
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