张友浪, 彭雨馨, 王培杰. 地方政府创新性的影响因素研究:基于全国市级面板数据(2000~2019)的分析[J]. 电子科技大学学报社科版, 2023, 25(5): 1-13. DOI: 10.14071/j.1008-8105(2023)-1102
引用本文: 张友浪, 彭雨馨, 王培杰. 地方政府创新性的影响因素研究:基于全国市级面板数据(2000~2019)的分析[J]. 电子科技大学学报社科版, 2023, 25(5): 1-13. DOI: 10.14071/j.1008-8105(2023)-1102
ZHANG You-lang, PENG Yu-xin, WANG Pei-jie. What Factors Influence Local Government Innovativeness? An Empirical Study Based on the Prefecture-Level Panel Data (2000-2019) from China[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2023, 25(5): 1-13. DOI: 10.14071/j.1008-8105(2023)-1102
Citation: ZHANG You-lang, PENG Yu-xin, WANG Pei-jie. What Factors Influence Local Government Innovativeness? An Empirical Study Based on the Prefecture-Level Panel Data (2000-2019) from China[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2023, 25(5): 1-13. DOI: 10.14071/j.1008-8105(2023)-1102

地方政府创新性的影响因素研究:基于全国市级面板数据(2000~2019)的分析

What Factors Influence Local Government Innovativeness? An Empirical Study Based on the Prefecture-Level Panel Data (2000-2019) from China

  • 摘要:
    目的/意义 近几十年来,地方政府创新已成为国内外公共管理研究中最重要的主题之一,但是已有研究大多局限于具体的创新案例(Government Innovation),难以解释组织层面的政府创新性(Government Innovativeness),即地方政府倾向采纳创新的程度。
    设计/方法 本文主要贡献在于提出中国地方政府创新性这一新的概念与结果变量,并通过构建理论分析框架、提出系列假设、设计组织层面的综合性测量指标,对2000~2019年中国280个地级市面板数据开展分析。
    结论/发现 相较于行政首长个体层面因素,区域层面因素对地方政府创新性影响更大。此外,各类外部或内部因素的作用会随时段、区域和所在省份创新性高低的变化而变化。

     

    Abstract: Purpose/Significance In recent decades, local government innovation has become one of the most significant topics in public administration research. However, existing studies have only focused on the specific policy innovation cases. Little research has examined the overall innovativeness of local governments, meaning the extent to which local governments tend to adopt innovation. Design/Methodology This study puts forward a new conceptualization and measurement of Chinese local government innovativeness. Through constructing a theoretical analysis framework, proposing a series of assumptions, and designing comprehensive measurement indicators, this study analyzes the panel data of 280 prefecture-level cities in China from 2000 to 2019. Conclusions/Findings Compared with policy-maker characteristics, regional factors have a greater impact on local government innovativeness. In addition, the effects of external or internal factors will vary with time, space and innovativeness at the provincial level.

     

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