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A citation-based research framework for exploring policy diffusion: Evidence from China's new energy policies

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  • Ba, Zhichao
  • Ma, Yaxue
  • Cai, Jinyao
  • Li, Gang

Abstract

The citation-based approach has been applied extensively to explore the dynamic evolution and historical development of scientific research and technological advances, while it has rarely been used to analyze the dynamics of policy diffusion. Policy citations signify the flow of specific legislative knowledge in the legal system, which can provide traceable and measurable footprints for tracing the path of policy progress. To this end, this paper proposes a quantitative citation-based research framework for inspecting the patterns and evolution process of policy diffusion. First, time-varying policy citation networks at different stages are constructed by extracting citing/cited links of policies embedded in the textual content of policy documents. Pattern characteristics, topic dynamics, and historical trajectories of policy diffusion are then revealed by scrutinizing succinct structures of policy citation networks. An experimental study of large-scale new energy policies (NEPs) in China confirms the reliability of the citation-based approach in tracking policy diffusion. The introduced approach enriches the current methodology for policy research and provides valuable references for policymakers to judge their policymaking process.

Suggested Citation

  • Ba, Zhichao & Ma, Yaxue & Cai, Jinyao & Li, Gang, 2023. "A citation-based research framework for exploring policy diffusion: Evidence from China's new energy policies," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    • Handle: RePEc:eee:tefoso:v:188:y:2023:i:c:s0040162522007946
    DOI: 10.1016/j.techfore.2022.122273
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    as
    1. Lu, Louis Y.Y. & Hsieh, Chih-Hung & Liu, John S., 2016. "Development trajectory and research themes of foresight," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 347-356.
    2. Yoonki Rhee & Sejun Yoon & Hyunseok Park, 2022. "Exploring Knowledge Trajectories of Accounting Information Systems Using Business Method Patents and Knowledge Persistence-Based Main Path Analysis," Mathematics, MDPI, vol. 10(18), pages 1-22, September.
    3. Edmondson, Duncan L. & Kern, Florian & Rogge, Karoline S., 2019. "The co-evolution of policy mixes and socio-technical systems: Towards a conceptual framework of policy mix feedback in sustainability transitions," Research Policy, Elsevier, vol. 48(10).
    4. Xiaoqian Zhang & Feng Yang, 2019. "Rural informatization policy evolution in China: a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 129-153, July.
    5. Sun, Hao & Su, Jun & Ma, Liang, 2021. "The diffusion of the utility tunnel policy: Evidence from Chinese cities," Utilities Policy, Elsevier, vol. 72(C).
    6. Prabhakaran, Thara & Lathabai, Hiran H. & Changat, Manoj, 2015. "Detection of paradigm shifts and emerging fields using scientific network: A case study of Information Technology for Engineering," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 124-145.
    7. Cherni, Judith A. & Kentish, Joanna, 2007. "Renewable energy policy and electricity market reforms in China," Energy Policy, Elsevier, vol. 35(7), pages 3616-3629, July.
    8. Baghersad, Milad & Emadikhiav, Mohsen & Huang, C. Derrick & Behara, Ravi S., 2023. "Modularity maximization to design contiguous policy zones for pandemic response," European Journal of Operational Research, Elsevier, vol. 304(1), pages 99-112.
    9. Kong, Yuan & Feng, Chao & Yang, Jun, 2020. "How does China manage its energy market? A perspective of policy evolution," Energy Policy, Elsevier, vol. 147(C).
    10. Chao Yang & Jun Su, 2017. "Quantitative Research on Policy Literature," Journal of Chinese Governance, Taylor & Francis Journals, vol. 2(4), pages 478-480, October.
    11. Mutz, Rüdiger & Daniel, Hans-Dieter, 2019. "How to consider fractional counting and field normalization in the statistical modeling of bibliometric data: A multilevel Poisson regression approach," Journal of Informetrics, Elsevier, vol. 13(2), pages 643-657.
    12. Li, Hui & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2021. "Policy analysis for high-speed rail in China: Evolution, evaluation, and expectation," Transport Policy, Elsevier, vol. 106(C), pages 37-53.
    13. John S. Liu & Hsiao-Hui Chen & Mei Hsiu-Ching Ho & Yu-Chen Li, 2014. "Citations with different levels of relevancy: Tracing the main paths of legal opinions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(12), pages 2479-2488, December.
    14. Junseop Shim & Chisung Park & Mark Wilding, 2015. "Identifying policy frames through semantic network analysis: an examination of nuclear energy policy across six countries," Policy Sciences, Springer;Society of Policy Sciences, vol. 48(1), pages 51-83, March.
    15. Li, Lili & Taeihagh, Araz, 2020. "An in-depth analysis of the evolution of the policy mix for the sustainable energy transition in China from 1981 to 2020," Applied Energy, Elsevier, vol. 263(C).
    16. Marlene Kammerer & Chandreyee Namhata, 2018. "What drives the adoption of climate change mitigation policy? A dynamic network approach to policy diffusion," Policy Sciences, Springer;Society of Policy Sciences, vol. 51(4), pages 477-513, December.
    17. Zhihong Huang & Qianjin Zong & Xuerui Ji, 2022. "The associations between scientific collaborations of LIS research and its policy impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6453-6470, November.
    18. Russo, Margherita & Pavone, Pasquale, 2021. "Evidence-based portfolios of innovation policy mixes: A cross-country analysis," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    19. Huang, Cui & Yang, Chao & Su, Jun, 2021. "Identifying core policy instruments based on structural holes: A case study of China’s nuclear energy policy," Journal of Informetrics, Elsevier, vol. 15(2).
    20. Taedong Lee & Susan Meene, 2012. "Who teaches and who learns? Policy learning through the C40 cities climate network," Policy Sciences, Springer;Society of Policy Sciences, vol. 45(3), pages 199-220, September.
    21. Morton, Craig & Wilson, Charlie & Anable, Jillian, 2018. "The diffusion of domestic energy efficiency policies: A spatial perspective," Energy Policy, Elsevier, vol. 114(C), pages 77-88.
    22. Walker, Jack L., 1969. "The Diffusion of Innovations among the American States," American Political Science Review, Cambridge University Press, vol. 63(3), pages 880-899, November.
    23. Nuñez-Jimenez, Alejandro & Knoeri, Christof & Hoppmann, Joern & Hoffmann, Volker H., 2022. "Beyond innovation and deployment: Modeling the impact of technology-push and demand-pull policies in Germany's solar policy mix," Research Policy, Elsevier, vol. 51(10).
    24. Stritzke, Susann & Trotter, Philipp A. & Twesigye, Peter, 2021. "Towards responsive energy governance: Lessons from a holistic analysis of energy access in Uganda and Zambia," Energy Policy, Elsevier, vol. 148(PA).
    25. Su, Chi-Wei & Yuan, Xi & Tao, Ran & Shao, Xuefeng, 2022. "Time and frequency domain connectedness analysis of the energy transformation under climate policy," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    26. Ndiritu, S. Wagura & Engola, Monica Katungi, 2020. "The effectiveness of feed-in-tariff policy in promoting power generation from renewable energy in Kenya," Renewable Energy, Elsevier, vol. 161(C), pages 593-605.
    27. 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.
    28. Ghazinoory, Sepehr & Aghaei, Parvaneh, 2021. "Differences between policy assessment & policy evaluation; a case study on supportive policies for knowledge-based firms," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    29. Chao Zhang & Jiancheng Guan, 2022. "How policies emerge and interact with each other? A bibliometric analysis of policies in China," Science and Public Policy, Oxford University Press, vol. 49(3), pages 441-459.
    30. Ho, Jonathan C. & Saw, Ewe-Chai & Lu, Louis Y.Y. & Liu, John S., 2014. "Technological barriers and research trends in fuel cell technologies: A citation network analysis," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 66-79.
    31. Liu, Xingmin & Ren, Hong & Wu, Yong & Kong, Deping, 2013. "An analysis of the demonstration projects for renewable energy application buildings in China," Energy Policy, Elsevier, vol. 63(C), pages 382-397.
    32. Destek, Mehmet Akif & Aslan, Alper, 2020. "Disaggregated renewable energy consumption and environmental pollution nexus in G-7 countries," Renewable Energy, Elsevier, vol. 151(C), pages 1298-1306.
    33. Walker, Jack L., 1969. "The Diffusion of Innovations among the American States," American Political Science Review, Cambridge University Press, vol. 63(3), pages 880-899, November.
    34. Malhotra, Abhishek & Zhang, Huiting & Beuse, Martin & Schmidt, Tobias, 2021. "How do new use environments influence a technology's knowledge trajectory? A patent citation network analysis of lithium-ion battery technology," Research Policy, Elsevier, vol. 50(9).
    35. Yang, Chao & Huang, Cui, 2022. "Quantitative mapping of the evolution of AI policy distribution, targets and focuses over three decades in China," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    36. Charles R. Shipan & Craig Volden, 2008. "The Mechanisms of Policy Diffusion," American Journal of Political Science, John Wiley & Sons, vol. 52(4), pages 840-857, October.
    37. 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).
    38. Adam B. Jaffe & Manuel Trajtenberg, 1996. "Flows of Knowledge from Universities and Federal Labs: Modeling the Flowof Patent Citations Over Time and Across Institutional and Geographic Boundari," NBER Working Papers 5712, National Bureau of Economic Research, Inc.
    39. Yan, Jianghui & Tseng, Fang-Mei & Lu, Louis Y.Y., 2018. "Developmental trajectories of new energy vehicle research in economic management: Main path analysis," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 168-181.
    40. 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.
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    Cited by:

    1. Wang, Jiaxi & Zhang, Jingjing, 2023. "The impact of policy collaboration networks and policy topic networks on policy diffusion: Empirical evidence from the energy field," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

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