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Author:

Zhang, Kun (Zhang, Kun.) | Kou, Zi-Xuan (Kou, Zi-Xuan.) | Zhu, Pei-Hua (Zhu, Pei-Hua.) | Qian, Xiang-Yan (Qian, Xiang-Yan.) | Yang, Yun-Ze (Yang, Yun-Ze.)

Indexed by:

SSCI

Abstract:

Artificial intelligence (AI) is gradually becoming an important engine for empowering urban economies, driving the low-carbon growth of cities. To promote the deep integration of AI with economic and social expansion, China has proposed building national new-generation AI innovation and development pilot zones (AIPZ) in cities. However, the impact of AIPZ construction on low-carbon development remains unclear. Using panel data from 276 cities in China from 2015 to 2022, we employed a difference-in-differences method to assess the impact of the AIPZ policy on urban carbon emissions (UCE). First, as verified by multiple robustness tests, the AIPZ policy effectively reduced UCE, with an average reduction of 3.4 %. Second, the policy helped lower urban pollutant emissions and achieved a synergistic effect of carbon and pollution reduction. Third, according to the mechanism analysis, the AIPZ policy promoted carbon reduction by optimizing the government spending structure and improving consumers' online lifestyles. Additionally, the economic effect analysis revealed that the AIPZ policy reduced UCE by optimizing industrial structure, enhancing energy efficiency, and promoting technological innovation. Therefore, this study verifies the positive role of AI in reducing UCE and provides policy support for leveraging AI to promote green and low-carbon urban development.

Keyword:

Energy efficiency Air pollution Artificial intelligence Difference-in-differences Carbon emissions

Author Community:

  • [ 1 ] [Zhang, Kun]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Kou, Zi-Xuan]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Zhu, Pei-Hua]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 4 ] [Zhang, Kun]Beijing Univ Technol, Inst Ecocivilizat Studies, Beijing 100124, Peoples R China
  • [ 5 ] [Qian, Xiang-Yan]Nanjing Agr Univ, Coll Econ & Management, Nanjing 210095, Peoples R China
  • [ 6 ] [Yang, Yun-Ze]Jiangxi Univ Finance & Econ, Coll Econ, Nanchang 330013, Peoples R China

Reprint Author's Address:

  • [Zhu, Pei-Hua]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China

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Source :

ECONOMIC ANALYSIS AND POLICY

ISSN: 0313-5926

Year: 2025

Volume: 85

Page: 426-447

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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