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China Population, Resources and Environment >

2026 , Vol. 36 >Issue 3: 43 - 56

DOI: https://doi.org/10.12062/cpre.20251002

Data factor marketization and urban energy system resilience: a quasi-natural experi-ment based on the establishment of data trading platforms

  • WANG Keliang ,
  • PENG Jiahui ,
  • XU Ruyu
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  • School of Economics, Ocean University of China, Qingdao Shandong 266100, China

Received date: 2025-06-15

  Revised date: 2025-08-19

  Online published: 2026-06-05

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Abstract

In the digital era, data elements have become the strategic resources and key elements driving systemic economic and social changes. Deepening the reform of data factor marketization is an important measure to unlock the value of data factors and build a more resilient modern energy system. Based on panel data of 278 prefecture-level and above cities in China from 2010 to 2023, this study treated the establishment of data trading platforms as a quasi-natural experiment and used a double machine learning model to empiri-cally examine the impact of data factor marketization on urban energy system resilience and its underlying mechanisms. The results showed that: ① Data factor marketization contributed to promoting urban energy system resilience, and this conclusion remained valid after a series of robustness tests and endogeneity treatments. ② Mechanism tests indicated that, in terms of internal governance, data factor marketization could enhance urban energy system resilience by optimizing resource allocation and promoting green innovation. In terms of the external environment, the government's digital governance awareness and market information accessibility exerted a posi-tive moderating effect, strengthening the positive impact of data factor marketization on urban energy system resilience. ③ The impact of data factor marketization on urban energy system resilience exhibited significant heterogeneity among cities with different endowment structures, infrastructure levels, and institutional environments. Specifically, the positive impact was more pronounced in city groups that were not old industrial bases, were non-resource-based, and had higher levels of digital infrastructure, traditional infrastructure, market development, and fiscal transparency. Based on the above conclusions, this study puts forward the following policy recommenda-tions: leverage data trading platforms to fully activate the application value of energy data; pursue a dual-dimensional pathway of “inter-nal governance optimization-external environmental empowerment;” and formulate differentiated development measures to enhance the targeting of policy supply.

Key words： data factor marketization; energy system resilience; internal governance optimization; external environmental empower-ment

Cite this article

WANG Keliang , PENG Jiahui , XU Ruyu . Data factor marketization and urban energy system resilience: a quasi-natural experi-ment based on the establishment of data trading platforms[J]. China Population, Resources and Environment, 2026 , 36(3) : 43 -56 . DOI: 10.12062/cpre.20251002

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