IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v197y2023ics0040162523005681.html
   My bibliography  Save this article

The impact of policy collaboration networks and policy topic networks on policy diffusion: Empirical evidence from the energy field

Author

Listed:
  • Wang, Jiaxi
  • Zhang, Jingjing

Abstract

Policy networks have strong explanatory power for policy processes and policy results. Previous studies have proven the importance of the role played by policy collaboration networks. Recently, the value of policy topic networks has gradually been revealed. However, there has been a lack of interpretation of policy results through topic network characteristics. Therefore, a comparative research framework for policy collaboration and topic networks is proposed. Based on a search and screening results for China's energy policies, we construct a policy collaboration network composed of policymaking agencies and their collaborations and a topic network composed of policy topics and their co-occurrences. After analysing the characteristics of institutions and topics, we empirically test hypotheses concerning the relationship between the network characteristics of these two networks and policy diffusion in China. We find that in policy collaboration networks, the centrality of agencies has a positive effect on the degree of policy diffusion and the structural holes of agencies exert an inverted U-shaped effect on the degree of policy diffusion. In the topic networks, policy topics with high centrality have a greater degree of policy diffusion and the structural holes of topics are not significantly associated with policy diffusion.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:197:y:2023:i:c:s0040162523005681
    DOI: 10.1016/j.techfore.2023.122883
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523005681
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2023.122883?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Hongshu & Jin, Qianqian & Wang, Ximeng & Xiong, Fei, 2022. "Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    3. Richarz, Jan & Wegewitz, Stephan & Henn, Sarah & Müller, Dirk, 2023. "Graph-based research field analysis by the use of natural language processing: An overview of German energy research," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    4. Jo Thori Lind & Halvor Mehlum, 2010. "With or Without U? The Appropriate Test for a U‐Shaped Relationship," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 109-118, February.
    5. Richard F. J. Haans & Constant Pieters & Zi-Lin He, 2016. "Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1177-1195, July.
    6. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
    7. Yan Yan & Jiatao Li & Jingjing Zhang, 2022. "Protecting intellectual property in foreign subsidiaries: An internal network defense perspective," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(9), pages 1924-1944, December.
    8. Grande, Edgar & Peschke, Anke, 1999. "Transnational cooperation and policy networks in European science policy-making," Research Policy, Elsevier, vol. 28(1), pages 43-61, January.
    9. Guan, Jiancheng & Zhang, Jingjing & Yan, Yan, 2015. "The impact of multilevel networks on innovation," Research Policy, Elsevier, vol. 44(3), pages 545-559.
    10. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    11. Ayres, Ian & Vars, Fredrick E, 2000. "Determinants of Citations to Articles in Elite Law Reviews," The Journal of Legal Studies, University of Chicago Press, vol. 29(1), pages 427-450, January.
    12. Sokolov, Alexander & Shashnov, Sergey & Kotsemir, Maxim & Grebenyuk, Anna, 2019. "Quantitative analysis for a better-focused international STI collaboration policy: A case of BRICS," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 221-242.
    13. Guan, JianCheng & Zuo, KaiRui & Chen, KaiHua & Yam, Richard C.M., 2016. "Does country-level R&D efficiency benefit from the collaboration network structure?," Research Policy, Elsevier, vol. 45(4), pages 770-784.
    14. Fatemeh Rostami & Asghar Mohammadpoorasl & Mohammad Hajizadeh, 2014. "The effect of characteristics of title on citation rates of articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2007-2010, March.
    15. Tim Rowley & Dean Behrens & David Krackhardt, 2000. "Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 369-386, March.
    16. Holden, Carol A. & Lin, Vivian, 2012. "Network structures and their relevance to the policy cycle: A case study of The National Male Health Policy of Australia," Social Science & Medicine, Elsevier, vol. 74(2), pages 228-235.
    17. Zhang, Zhengang & Luo, Taiye, 2020. "Network capital, exploitative and exploratory innovations——from the perspective of network dynamics," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    18. Stremersch, Stefan & Camacho, Nuno & Vanneste, Sofie & Verniers, Isabel, 2015. "Unraveling scientific impact: Citation types in marketing journals," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 64-77.
    19. Tang, Tian, 2018. "Explaining technological change in the US wind industry: Energy policies, technological learning, and collaboration," Energy Policy, Elsevier, vol. 120(C), pages 197-212.
    20. Georgalakis, James, 2020. "A disconnected policy network: The UK's response to the Sierra Leone Ebola epidemic," Social Science & Medicine, Elsevier, vol. 250(C).
    21. Fernandez de Arroyabe, Juan Carlos & Schumann, Martin & Sena, Vania & Lucas, Pablo, 2021. "Understanding the network structure of agri-food FP7 projects: An approach to the effectiveness of innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    22. 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).
    23. Zhang, Yi & Chen, Kaihua, 2022. "Network growth dynamics: The simultaneous interaction between network positions and research performance of collaborative organisations," Technovation, Elsevier, vol. 115(C).
    24. 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).
    25. Wu, Shu & Han, Hongyun, 2022. "Energy transition, intensity growth, and policy evolution: Evidence from rural China," Energy Economics, Elsevier, vol. 105(C).
    26. Ba, Zhichao & Mao, Jin & Ma, Yaxue & Liang, Zhentao, 2021. "Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field," Journal of Informetrics, Elsevier, vol. 15(3).
    27. Sun, Yutao & Cao, Cong, 2018. "The evolving relations between government agencies of innovation policymaking in emerging economies: A policy network approach and its application to the Chinese case," Research Policy, Elsevier, vol. 47(3), pages 592-605.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Jinglong & Wang, Dandan & Wang, Qinqin & Cai, Qiran, 2024. "Quantifying the synergy of China's carbon neutrality policies through policy documents," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    2. Nepal, Rabindra & Zhao, Xiaomeng & Liu, Yang & Dong, Kangyin, 2024. "Can green finance strengthen energy resilience? The case of China," Technological Forecasting and Social Change, Elsevier, vol. 202(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zakaryan, Arusyak, 2023. "Organizational knowledge networks, search and exploratory invention," Technovation, Elsevier, vol. 122(C).
    2. Martorell Cunil, Onofre & Otero González, Luis & Durán Santomil, Pablo & Mulet Forteza, Carlos, 2023. "How to accomplish a highly cited paper in the tourism, leisure and hospitality field," Journal of Business Research, Elsevier, vol. 157(C).
    3. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    4. Yao, Li & Li, Jun & Li, Jian, 2020. "Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    5. Chen, Wei & Yan, Yan, 2023. "New components and combinations: The perspective of the internal collaboration networks of scientific teams," Journal of Informetrics, Elsevier, vol. 17(2).
    6. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    7. Vinayak, & Raghuvanshi, Adarsh & kshitij, Avinash, 2023. "Signatures of capacity development through research collaborations in artificial intelligence and machine learning," Journal of Informetrics, Elsevier, vol. 17(1).
    8. Zhou, Dan & Yan, Tingting & Zhao, Lilong & Guo, Jingjing, 2020. "Performance implications of servitization: Does a Manufacturer's service supply network matter?," International Journal of Production Economics, Elsevier, vol. 219(C), pages 31-42.
    9. Wang, Cheng-Jun & Yan, Lihan & Cui, Haochuan, 2023. "Unpacking the essential tension of knowledge recombination: Analyzing the impact of knowledge spanning on citation impact and disruptive innovation," Journal of Informetrics, Elsevier, vol. 17(4).
    10. Guan, JianCheng & Zhang, JingJing, 2018. "The dynamics of partner and knowledge portfolios in alternative energy field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2869-2879.
    11. Yan Yan & Shanwu Tian & Jingjing Zhang, 2020. "The impact of a paper’s new combinations and new components on its citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 895-913, February.
    12. Zhang, JingJing & Yan, Yan & Guan, JianCheng, 2019. "Recombinant distance, network governance and recombinant innovation," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 260-272.
    13. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    14. Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
    15. Shukla, Dhirendra Mani & Mital, Amita & Qureshi, Israr & Wang, Taiyuan, 2020. "Valuation effects of alliance portfolio expansion speed and strength: Evidence from high-tech firms," Journal of Business Research, Elsevier, vol. 113(C), pages 370-383.
    16. Juan Xie & Kaile Gong & Jiang Li & Qing Ke & Hyonchol Kang & Ying Cheng, 2019. "A probe into 66 factors which are possibly associated with the number of citations an article received," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1429-1454, June.
    17. Chen, Kaihua & Zhang, Yi & Zhu, Guilong & Mu, Rongping, 2020. "Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?," Technovation, Elsevier, vol. 94.
    18. Sarah Cheah & Cristiano Bellavitis & Alessandro Muscio, 2021. "The impact of technology complexity on the financial performance of R&D projects: evidence from Singapore," The Journal of Technology Transfer, Springer, vol. 46(2), pages 431-458, April.
    19. Ye, Silin & Zhou, Jing & Jiang, Yunwen & Liu, Xiaming, 2023. "Managers as the bridge: How cultural friction influences the integration of cross-border mergers and acquisitions," International Business Review, Elsevier, vol. 32(4).
    20. Xiaodong Teng & Kun-Shan Wu & Lopin Kuo & Bao-Guang Chang, 2023. "Investigating the double-edged sword effect of environmental, social and governance practices on corporate risk-taking in the high-tech industry," Oeconomia Copernicana, Institute of Economic Research, vol. 14(2), pages 511-549, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:197:y:2023:i:c:s0040162523005681. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.