我国地方大数据政策的扩散模式与转移特征研究

Research on the diffusion models and transfer characteristic of local big data policy in China

为揭示我国地方大数据政策的发展趋势与内容关联性,基于政策扩散与政策转移理论,采用内容分析法、社会网络分析方法,探索我国各省市68条地方大数据政策的时空扩散模式与内容转移特征。研究发现:我国地方大数据政策发布与参照的时间扩散模式均符合政策扩散一般规律,时间扩散曲线呈S型;政策参照扩散模式为目前中国常见的"中央—地方扩散"与自上而下层级参照扩散模式;此外,地方大数据政策对重要国家政策内容的继承性较高,不同区域政策内容的创新各具特色。

To reveal the development trend and content relevance of local big data policy in China,based on the theory of policy diffusion and policy transfer,the models of time-space diffusion and the characteristics of content transfer for 68 local big data policies in various provinces and cities in China were explored by using the methods of content analysis and social network analysis.The study finds that the time-spreading model of China local big data policy release and reference is in line with the general law of policy diffusion,and the time-diffusion curve is S-type.The policy reference diffusion models are'central-local diffusion'and'top-down diffusion',which are common in China.In addition,local big data policies have a high inheritance of important national policy content,and policy innovations vary from region to region.