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A bibliometrics-based research framework for exploring policy evolution: A case study of China's information technology policies

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  • Yang, Chao
  • Huang, Cui
  • Su, Jun

Abstract

Qualitative methods for analyzing policy evolution are often unequipped to process high volumes of policy texts that involve many domains and long timespans. This makes it difficult to take full advantage of the semantic information contained in policy literature. It is also difficult to use traditional qualitative methods to systematically analyze the characteristics of a complex policy mix network, such as the locations, evolution, and relationships between policy actors/targets. In order to address these issues, we propose a bibliometrics-based research framework for exploring policy evolution. We first collect all relevant policy documents from a target domain. We then construct networks of policymaker based on co-occurrence relationships in policy promulgation, in order to determine core policymakers, as well as changes in their status in the networks over time. Lastly, we use semantic analysis to identify policy targets and construct policy target keyword co-occurrence networks for discrete time periods. The evolution of a specific policy domain can then be examined based on changes in network centrality. Information technology policies in China were used as a case study to demonstrate the reliability of our method. The results reflect the practical value of using this method for the quantitative analysis of policy documents.

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  • Yang, Chao & Huang, Cui & Su, Jun, 2020. "A bibliometrics-based research framework for exploring policy evolution: A case study of China's information technology policies," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    • Handle: RePEc:eee:tefoso:v:157:y:2020:i:c:s0040162520309422
    DOI: 10.1016/j.techfore.2020.120116
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    References listed on IDEAS

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    1. Cui Huang & Jun Su & Xiang Xie & Jiang Li, 2014. "Basic research is overshadowed by applied research in China: a policy perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 689-694, June.
    2. Marja-Liisa Niinikoski & Stefan Kuhlmann, 2015. "In discursive negotiation: Knowledge and the formation of Finnish innovation policy," Science and Public Policy, Oxford University Press, vol. 42(1), pages 86-106.
    3. Cui Huang & Jun Su & Xiang Xie & Xuanting Ye & Zhang Li & Alan Porter & Jiang Li, 2015. "A bibliometric study of China’s science and technology policies: 1949–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1521-1539, February.
    4. Laver, Michael & Benoit, Kenneth & Garry, John, 2003. "Extracting Policy Positions from Political Texts Using Words as Data," American Political Science Review, Cambridge University Press, vol. 97(2), pages 311-331, May.
    5. Niinikoski, Marja-Liisa & Moisander, Johanna, 2014. "Serial and comparative analysis of innovation policy change," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 69-80.
    6. Lutz Bornmann & Robin Haunschild & Werner Marx, 2016. "Policy documents as sources for measuring societal impact: how often is climate change research mentioned in policy-related documents?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1477-1495, December.
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    Cited by:

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    8. Meng, Jia-Hui & Wang, Jian, 2023. "The policy trajectory of dual-use technology integration governance in China: A sequential analysis of policy evolution," Technology in Society, Elsevier, vol. 72(C).
    9. Sun, Yutao & Jiang, Lin & Cao, Cong & Tseng, Fang-Mei, 2024. "From contributors to boundary spanners: Evolving roles of government agencies in China’s innovation policy network (1980–2019)," Technovation, Elsevier, vol. 132(C).
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