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中国人口·资源与环境 >

2026 , Vol. 36 >Issue 3: 114 - 126

DOI: https://doi.org/10.12062/cpre.20251025

环境治理与绿色发展

政府公共数据开放与城市数字化绿色化协同发展——来自公共数据开放平台上线的证据

  • 黄敦平 ,
  • 杨凡 ,
  • 郑娟
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  • 1.安徽财经大学经济学院,安徽 蚌埠 233030;
    2.中南财经政法大学工商管理学院,湖北 武汉 430073
黄敦平,博士,教授,主要研究方向为数字政府、数字化转型。E-mail：h0456124@163.com。

收稿日期: 2025-04-07

  修回日期: 2025-11-03

  网络出版日期: 2026-06-05

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Government public data opening and urban digital-green synergistic development: evidence from the launch of open data platforms

  • HUANG Dunping ,
  • YANG Fan ,
  • ZHENG Juan
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  • 1. School of Economics, Anhui University of Finance and Economics, Bengbu Anhui 233030, China;
    2. School of Business Administration, Zhongnan University of Economics and Law, Wuhan Hubei 430073, China

Received date: 2025-04-07

  Revised date: 2025-11-03

  Online published: 2026-06-05

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摘要

推动数字化绿色化协同发展成为加速培育新质生产力、促进经济社会高质量发展的必然要求。数据要素时代政府公共数据在价值创造与绿色发展方面具有显著的应用潜力,为推动数字化绿色化协同发展提供了可行路径。该研究在厘定城市数字化绿色化协同发展概念框架的基础上,从信息匹配、要素配置、技术创新等视角阐述政府公共数据开放对城市数字化绿色化协同发展的影响机制。基于2007—2022年全国287个地级及以上城市面板数据,运用耦合协调度模型测算城市数字化绿色化协同发展水平,将城市公共数据开放平台上线视为准自然实验,采用交叠双重差分模型实证检验政府公共数据开放对城市数字化绿色化协同发展的影响及作用机制。研究发现：①政府公共数据开放显著赋能城市数字化绿色化协同发展,该结论在经稳健性检验及内生性处理后仍然成立。②机制检验发现,政府公共数据开放通过信息匹配机制、要素配置机制与技术创新机制促进城市数字化绿色化协同发展。③异质性分析表明,政府公共数据开放对区域资源禀赋较好、市场化程度较高、初始创新能力较强以及数据开放平台质量较高城市的数字化绿色化协同发展的赋能效应更为显著。据此建议：加强公共数据开放平台建设,利用大数据和人工智能技术,实现公共数据供需双方的精准匹配,实施差异化政府公共数据开放策略,鼓励市场主体利用公共数据挖掘要素价值。该研究为政府公共数据开放赋能城市数字化绿色化协同发展提供了理论支撑与实践证据。

关键词： 公共数据开放; 数字化; 绿色化; 信息匹配; 要素配置; 技术创新

本文引用格式

黄敦平 , 杨凡 , 郑娟 . 政府公共数据开放与城市数字化绿色化协同发展——来自公共数据开放平台上线的证据[J]. 中国人口·资源与环境, 2026 , 36(3) : 114 -126 . DOI: 10.12062/cpre.20251025

Abstract

Promoting the synergistic development of digitalization and greening has become an inevitable requirement for accelerating the cultivation of new quality productive forces and promoting high-quality economic and social development. In the era of data ele-ments, government public data has significant application potential for value creation and green development, providing a feasible path to promote digital-green synergistic development. This study defines the conceptual framework of digital-green synergistic development and elucidates the mechanisms through which government public data opening influences this process from the perspectives of informa-tion matching, factor allocation, and technological innovation. Based on panel data of 287 prefecture-level and above cities in China from 2007 to 2022, the study used the coupling coordination degree model to measure the level of urban digital-green synergistic devel-opment. Regarding the launch of urban open data platforms as a quasi-natural experiment, this study utilized the staggered difference-in-differences model to empirically test the impact of government public data opening on this development and its underlying mecha-nisms. The study found that: ① Government public data opening significantly enabled urban digital-green synergistic development, and this conclusion remained robust after a series of robustness tests and endogeneity corrections. ② Mechanism tests revealed that the gov-ernment public data opening promoted this development through information matching, factor allocation, and technological innovation mechanisms. ③ Heterogeneity analysis showed that the government public data opening had a more pronounced enabling effect on the digital-green synergistic development of cities with better regional resource endowments, a high degree of marketization, strong initial innovation capacity, and high-quality open data platforms. In light of these findings, it is proposed to strengthen the construction of pub-lic open data platforms, utilize big data and artificial intelligence technologies to achieve accurate matching between public data supply and demand, implement differentiated strategies for opening government public data, and encourage market players to leverage public data to extract element value. This study provides theoretical support and practical evidence for the digital-green synergistic develop-ment of government public data opening-enabled cities.

Key words： public data opening; digitization; greening; information matching; factor allocation; technological innovation

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