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| The Inclination of Vertical Policy Diffusion in China Based on Thematic Analysis |
| Wang Fang, Xu Lulu |
| Department of Information Resources Management, Business School, Nankai University, Tianjin 300071 |
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Abstract Policy innovation is implemented and diffused via document circulation. In the era of big data, it is of great significance to employ document mining to analyze the process of policy diffusion among different levels of government. This will allow a better understanding of policy effects, promote construction of digital government systems, and improve government capabilities. However, at present, little research focus is placed on intelligent processing of government documents and policy diffusion among governments at different levels. In light of this, by this study examines themes in policy diffusion and the inclination of different government levels for policy diffusion by analyzing the structure and content of documents texts, with focus on the time of policy release, the number of policy layouts, the intensity of policy themes, the number of implementing departments, and other characteristics. Based on this analysis, the study proposes an index model to detect policy diffusion inclinations based on multi-feature fusion. Taking the policy of big data as an example, the study designs a visualization map for policy diffusion to express the thematic changes that occur during diffusion of policy from the central government to provincial and municipal levels. Through intelligent processing and theme detection in large-scale government document data, this study provides policy makers and implementers with information support and references for decision-making.
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Received: 14 April 2020
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