数字政府背景下政府开放数据创新应用提升路径研究——基于31个省域应用数据的模糊集定性比较分析
Improving path of innovative application of open government data under the background of digital government:qualitative comparative study of fuzzy sets based on data of 31 provinces in China
陶志梅 1李芯蕊 1高先涛1
作者信息
- 1. 天津商业大学公共管理学院,天津 300134
- 折叠
摘要
政府开放数据是典型的创新扩散模型,受到国家政治制度和府际关系的深刻影响,解释政府开放数据创新应用的提升路径需要以府际关系和制度压力规制为逻辑起点,构建开放数据创新扩散模型,应用模糊集定性比较分析对我国 31 个省域政府开放数据应用创新扩散规律进行总结.研究发现上级压力规制、公众压力、府际竞争和府际学习因素组合是最典型的政府开放数据应用创新扩散模型,对开放数据创新应用和数据价值实现有更好的促进作用.除此之外,对于经济较发达且对上级财政依赖较小的地区可以通过政策压力、府际竞争和府际学习提升数据开放创新活动;而在经济欠发达且对上级财政依赖较大的地区,上级压力对开放数据应用扩散作用更突出.
Abstract
Open government data,as a typical innovation diffusion model,is deeply affected by political system and inter-governmental relationship in China.To explain the path to improve the innovative application of open government data,it is necessary to take the inter-governmental relationship and institutional pressure regulation as the logical starting point.This paper constructs an open data innovation diffusion model and makes a qualitative comparative study of fuzzy sets to summarize the law of open data application innovation diffusion in 31 provinces of China.It finds that upper-level pressure regulation,public pressure,inter-governmental competition and inter-governmental learning factors are the most typical open government data application innovation diffusion models,which play a better role in promoting the innovative application of open data and the realization of data value.In addition,for regions with more developed economy and less financial dependence on the upper-level government,open data innovation can be promoted by a combination of policy pressure,inter-governmental competition and inter-governmental learning.However,in the less-developed regions with greater financial dependence on the upper-level government,the pressure from the upper level plays a more prominent role in the application and diffusion of open data.
关键词
政府开放数据/开放数据应用/创新扩散理论/模糊集定性比较分析Key words
government open data/open data application/innovation diffusion theory/qualitative comparative study of fuzzy sets引用本文复制引用
基金项目
天津市哲学社会科学研究项目(TJGL18-034)
天津市鑫源浩钢铁有限公司委托项目(WH21011)
天津市大学生创新创业训练计划(202310069138)
出版年
2024
NETL
NSTL
万方数据