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author:

Shen, Neng (Shen, Neng.) [1] | Zhang, Lin (Zhang, Lin.) [2] | Wang, Qunwei (Wang, Qunwei.) [3] | Wu, Lianjun (Wu, Lianjun.) [4]

Indexed by:

SSCI Scopus SCIE

Abstract:

The coordinated implementation of new energy policy and digital policy is a key institutional innovation for carbon unlocking in China. This study, based on constructing urban carbon unlocking efficiency, conducts a quasi-natural experiment on dual policy coordination empowerment through New Energy Demonstration City Pilots and the "Broadband China" Strategy. Utilizing panel data from 273 prefecture-level cities in China from 2012 to 2022 and dual machine learning models, the research examines the synergistic mechanism and multidimensional effects of dual policy in promoting carbon unlocking efficiency. The findings reveal that the dual policy exhibit a clear synergistic effect on carbon unlocking, with the empowering effect of combined policies being more pronounced compared to singular policies, a conclusion that remains robust after a series test. Moreover, the dual policy indirectly support carbon unlocking through environmental attention, technological innovation, and industrial upgrading. Heterogeneity analysis indicates that the dual policy has a more significant positive impact in central cities, cities with a high level of digital economy, and cities with a focus on environmental protection, underscoring the importance of tailored advancement of dual policy. This research provides valuable insights for governments in achieving the carbon unlocking through enhancing the coordination of "green-digital" policies.

Keyword:

Carbon unlocking efficiency Digital policy Double machine learning method New energy policy Policy synergy

Community:

  • [ 1 ] [Shen, Neng]Fuzhou Univ, Sch Econ & Management, Fuzhou 350018, Peoples R China
  • [ 2 ] [Zhang, Lin]Fuzhou Univ, Sch Econ & Management, Fuzhou 350018, Peoples R China
  • [ 3 ] [Wu, Lianjun]Fuzhou Univ, Sch Econ & Management, Fuzhou 350018, Peoples R China
  • [ 4 ] [Wang, Qunwei]Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Peoples R China

Reprint 's Address:

  • [Zhang, Lin]Fuzhou Univ, Sch Econ & Management, Fuzhou 350018, Peoples R China

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Source :

ENERGY POLICY

ISSN: 0301-4215

Year: 2025

Volume: 206

9 . 3 0 0

JCR@2023

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: 0

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