Public Administration and Policy Review ›› 2023, Vol. 12 ›› Issue (4): 47-.

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Policy Reproduction of the Internet Plus Government Services Initiative and its Influencing Factors:An Empirical Research Based on Machine Learning and Qualitative Comparative Analysis

  

  • Online:2023-07-17 Published:2023-07-17

“互联网+政务服务” 政策再生产及其影响因素——基于机器学习与定性比较分析的实证研究

  

Abstract:

The Internet Plus Government Services(IPGS)initiative is an important step for deepening the reforms to streamline administration and delegate powers, improve regulation, and upgrade services. The adjustment and update of the relevant policies of the central government in the formulation of the IPGS initiative policy is the policy reproduction. Local governments’ reproduction of the central IPGS initiative policy content has an important impact on the development of the IPGS initiative, but existing studies have not paid enough attention to this. Based on machine learning method, Doc2vec model was constructed to carry out quantitative calculation on the reproduction of the IPGS initiative policy content of Provincial governments in China. The research finds that there are some differences in the reproduction degree of the IPGS initiative policy content of provincial governments, and there is a strong correlation between the reproduction of policy content and the development level of the Government online service capabilities. The influence mechanism of the IPGS initiative policy reproduction is further investigated by qualitative comparative analysis of fuzzy set. The research shows that the leadership’s attention and marketization degree are the necessary conditions to influence the reproduction of provincial government’s policy content. The configuration analysis identified three path combinations of “enabling organization”, “developing consensus” and “riding the momentum” to achieve a higher degree of the IPGS initiative policy reproduction. This paper deepens the understanding of the logic of policy making in the operation of Chinese government, and has certain enlightenment significance for the formulation and introduction of targeted local IPGS initiative policies.

Key words: Policy Reproduction, The Internet Plus Government Services initiative, Machine learning, Qualitative comparative analysis

摘要:

“互联网+政务服务”是深入推进“放管服”改革的重要抓手,地方政府在制定“互联网+政务服务”政策中对中央相关政策的调整与更新即政策再生产会对当地“互联网+政务服务”发展产生重要影响,但已有研究对此关注不足。基于机器学习方法,构建Doc2vec模型对我国省级政府“互联网+政务服务”政策再生产进行量化计算。研究发现,省级政府“互联网+政务服务”政策再生产程度存在一定差异,政策再生产与“互联网+政务服务”发展水平有较强相关性。进一步运用模糊集定性比较分析考察“互联网+政务服务”政策再生产的影响机制。研究表明,领导重视和市场化程度是影响省级政府“互联网+政务服务”政策再生产的必要条件,组态分析识别出“组织赋能型”“发展共识型”与“乘势而上型”三种实现较高程度“互联网+政务服务”政策再生产的路径组合。本文深化了对我国政府运作中政策制定逻辑的理解,对制定和出台有针对性的地方“互联网+政务服务”政策具有一定的启示意义。

关键词: 政策再生产 互联网+政务服务 机器学习, 定性比较分析