东北大学学报(社会科学版) ›› 2025, Vol. 27 ›› Issue (5): 61-73.DOI: 10.15936/j.cnki.1008-3758.2025.05.007

• 政治与公共管理 • 上一篇    下一篇

何种公共数据开放生态促进高水平新质生产力发展?

孙萍, 胡珍   

  1. 东北大学 文法学院,辽宁 沈阳 110169
  • 收稿日期:2024-08-03 出版日期:2025-09-25 发布日期:2025-10-16
  • 作者简介:孙 萍,东北大学教授,博士生导师
    胡 珍,东北大学博士研究生。
  • 基金资助:
    国家社会科学基金项目(21BZZ062);辽宁省社会科学基金青年项目(L23CGL001);辽宁省经济社会发展研究课题(2024lslqnkt-026)

Which Open Ecology of Public Data Promotes the Development of High-level New Quality Productive Forces? A Dynamic QCA Analysis Based on the Provincial Panel Data

Ping SUN, Zhen HU   

  1. School of Humanities Law,Northeastern University,Shenyang 110169,China
  • Received:2024-08-03 Online:2025-09-25 Published:2025-10-16

摘要:

基于公共数据开放生态系统与组织生态视角构建研究框架,以2019—2023年16个省市为研究样本,运用动态QCA方法,探究不同生态要素如何促进新质生产力发展。研究发现:从时间维度来看,单个公共数据开放生态要素并非构成高新质生产力发展的必要条件,但政策准备力度与需求回应能力的必要性呈动态增长趋势。从空间维度来看,单个公共数据开放生态要素构成部分省市高新质生产力发展的必要条件,但地区效应在统计上不显著。形成高新质生产力发展的组态有三类:单一群体主导下的受益者需求驱动型、部分互利共栖下的“发布者—受益者”供需驱动型、完全互利共栖下的“发布者—使用者—受益者”供需驱动型。形成非高新质生产力发展的组态有两类:“生态待育”型与“使用者—受益者”需求缺位型。所有组态均不存在明显的时间效应和地区效应。

关键词: 公共数据开放生态系统, 新质生产力, 组织生态, 动态QCA

Abstract:

This study developed a framework grounded in the perspectives of the open ecosystem of public data and organizational ecology. Using panel data from 16 provinces and municipalities between 2019 and 2023, and applying the dynamic QCA method, it investigated how different configurations of ecological factors contribute to the advancement of new quality productive forces. The findings indicate that, temporally, no single element of the open ecosystem of public data constitutes a necessary condition for the development of high-level new quality productive forces. However, both policy preparedness and demand responsiveness demonstrate an increasing trend in necessity over time. Spatially, certain individual ecosystem elements serve as necessary conditions in some provinces or municipalities, though regional effects are not statistically significant. Three types of configurations contribute to the development of high-level new quality productive forces: demand-driven by beneficiaries under the dominance of a single actor group; supply-demand driven by “providers-beneficiaries” under partial mutualism; and supply-demand driven by “providers-users-beneficiaries” under complete mutualism. Conversely, two configurations are associated with the absence of high-level new quality productive forces: one representing an underdeveloped or immature ecosystem, and the other marked by insufficient demands from users and beneficiaries. Across all the configurations, no significant temporal or regional effects are observed.

Key words: open ecosystem of public data, new quality productive force, organizational ecology, dynamic QCA

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