东北大学学报（社会科学版）

东北大学学报（社会科学版） ›› 2022, Vol. 24 ›› Issue (5): 67-75.DOI: 10.15936/j.cnki.1008-3758.2022.05.009

• 政治与公共管理研究 • 上一篇    

地方政府创新可持续性影响因素研究——基于地方政府创新奖的定性比较分析

林晶晶，毛雅婧   

  1. (西南交通大学公共管理学院，四川成都610031)
  • 修回日期:2021-03-22 接受日期:2021-03-22 发布日期:2022-10-03
  • 通讯作者: 林晶晶
  • 作者简介:林晶晶(1981-)，女，福建长乐人，西南交通大学副教授，管理学博士，主要从事地方政府创新与地方治理研究。
  • 基金资助:
    国家社会科学基金资助项目(20BZZ023);教育部人文社会科学研究思政专项资助项目(17JDSZ1015)。

Research on the Influencing Factors of Local Governments' Innovation Sustainability: Based on the Qualitative Comparative Analysis of Local Governments' Innovation Awards

LIN Jingjing， MAO Yajing   

  1. (School of Public Administration， Southwest Jiaotong University， Chengdu 610031， China)
  • Revised:2021-03-22 Accepted:2021-03-22 Published:2022-10-03
  • Contact: -
  • About author:-
  • Supported by:
    -

RichHTML

14

PDF (PC)

504

摘要： 对于地方政府而言，影响地方政府创新可持续的因素有哪些?这些因素之间有着怎样的关系?为了回应以上问题，运用定性比较分析方法，从主体、资源、效用三个层面选取七个解释变量对我国地方政府创新可持续影响因素进行分析。研究发现:媒体关注是地方政府创新可持续性的必要条件，上级政府(领导)支持、学术关注、创新成果制度化以及非特定问题创新是保证地方政府创新可持续性的充分条件，地方政府创新可持续的充分条件组合共有六种，具体可归纳为三种解释模式，即资源支持模式、制度支撑模式以及创新扩散模式。研究结果对提高地方政府创新能力、提升地方政府创新生命力与持续性具有启示意义。

关键词: 地方政府创新; 可持续性; 定性比较分析

Abstract: For local governments， what are the factors that affect local governments' innovation sustainability? What is the relationship among these factors? In response to the above questions， the qualitative comparative analysis method was adopted by selecting seven explanatory variables from three levels of subject， resource and utility to analyze the influencing factors of local governments' innovation sustainability in China. It was found that media attention is a necessary condition for local governments' innovation sustainability; higher-level government (leadership) support， academic attention， institutionalization of innovation achievements， and innovation on non-specific issues are sufficient conditions to ensure local governments' innovation sustainability. There are six combinations of sufficient conditions for sustainability， which can be classified into three modes of interpretation， namely， resource support mode， institutional support mode， and innovation diffusion mode. The research results have implications for improving local governments' innovation ability and increasing their innovation vitality and sustainability.

Key words: local governments' innovation; sustainability; qualitative comparative analysis

中图分类号: