Target-oriented policy diffusion analysis: a case study of China's information technology policy

被引:3
作者
Yang, Chao [1 ]
Huang, Cui [1 ]
机构
[1] Zhejiang Univ, Sch Publ Affairs, Dept Informat Resource Management, Hangzhou 310058, Peoples R China
基金
中国国家自然科学基金;
关键词
Policy diffusion path; Policy documents; Policy target; Policy citation network; KNOWLEDGE DIFFUSION; NETWORK; SCIENCE; DOCUMENTS;
D O I
10.1007/s11192-023-04895-z
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Current quantitative research on policy diffusion tends to focus on the citation relationship between policies, while ignoring the nature of policy diffusion, that is, the diffusion of policy targets and instruments contained in policy. As a result, the identified policy path is often a hodgepodge, which contains multiple unrelated policies. It also lacks quantitative and reproducible methods for policy diffusion path analysis. Therefore, this paper proposes a policy target-oriented and citation-based policy diffusion analysis framework. Firstly, we collected relevant policy documents. Secondly, the article identified the policy citation relationships and the policy target patterns embedded in the policy documents. Then, we constructed target-oriented policy citation network and analyzed the patterns and characteristics of policy diffusion. Finally, based on the main path analysis method, we identified the policy diffusion paths of the policy mixes in the multi-target case. A case study of China's information technology policies was used to demonstrate our method's reliability.
引用
收藏
页码:1347 / 1376
页数:30
相关论文
共 62 条
[1]   Regional Intergovernmental Organizations as Catalysts for Transnational Policy Diffusion: The Case of UNASUR Health [J].
Agostinis, Giovanni .
JCMS-JOURNAL OF COMMON MARKET STUDIES, 2019, 57 (05) :1111-1129
[2]   PolicyFlow: Interpreting Policy Diffusion in Context [J].
Ahn, Yongsu ;
Lin, Yu-Ru .
ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS, 2020, 10 (02)
[3]   Trend monitoring for linking science and strategy [J].
Bakhtin, Pavel ;
Saritas, Ozcan ;
Chulok, Alexander ;
Kuzminov, Ilya ;
Timofeev, Anton .
SCIENTOMETRICS, 2017, 111 (03) :2059-2075
[4]   Critical discourse analysis of political press conferences [J].
Bhatia, A .
DISCOURSE & SOCIETY, 2006, 17 (02) :173-203
[5]   SPID: A New Database for Inferring Public Policy Innovativeness and Diffusion Networks [J].
Boehmke, Frederick J. ;
Brockway, Mark ;
Desmarais, Bruce A. ;
Harden, Jeffrey J. ;
LaCombe, Scott ;
Linder, Fridolin ;
Wallach, Hanna .
POLICY STUDIES JOURNAL, 2020, 48 (02) :517-545
[6]   Policy documents as sources for measuring societal impact: how often is climate change research mentioned in policy-related documents? [J].
Bornmann, Lutz ;
Haunschild, Robin ;
Marx, Werner .
SCIENTOMETRICS, 2016, 109 (03) :1477-1495
[7]   Characterizing in-text citations in scientific articles: A large-scale analysis [J].
Boyack, Kevin W. ;
van Eck, Nees Jan ;
Colavizza, Giovanni ;
Waltman, Ludo .
JOURNAL OF INFORMETRICS, 2018, 12 (01) :59-73
[8]   Taking 'Galton's problem' seriously - Towards a theory of policy diffusion [J].
Braun, Dietmar ;
Gilardi, Fabrizio .
JOURNAL OF THEORETICAL POLITICS, 2006, 18 (03) :298-322
[9]   The Ties that Bind Us: The Influence of Perceived State Similarity on Policy Diffusion [J].
Bricker, Christine ;
LaCombe, Scott .
POLITICAL RESEARCH QUARTERLY, 2021, 74 (02) :377-387
[10]   Studying policy diffusion at the individual level: Experiments on nationalistic biases in information seeking [J].
Butler, Daniel M. ;
De Vries, Catherine E. ;
Solaz, Hector .
RESEARCH & POLITICS, 2019, 6 (04)