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Leveraging social media for new energy vehicle policy diffusion in China: A central-local government interaction analysis

Author

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  • Qin, Quande
  • Wen, Zhibin
  • Zhou, Zhihao
  • Fan, Bi

Abstract

Social media is increasingly associated with new energy vehicle (NEV) policy diffusion in China. One way to explore how social media and policy diffusion are linked is to review the government posts on different topics of the policy over time. To investigate the diffusion dynamics of NEV policies, this study proposes a central-local government interaction analysis, leveraging the government posts on social media. Dynamic topic model is deployed to unveil the evolving nature and intergovernmental disparities of policy topics. Subsequently, a net directional connectedness model is employed to construct information overflow networks of different policy topics among governments. A comprehensive examination of 5386 text posts is conducted using the proposed method. It is identified that the central government prioritizes guidance policies, emphasizing industry support and global cooperation, while local governments concentrate on specific implementation measures, following a trajectory of infrastructure development, research and development, and tax exemptions. In the policy diffusion network, central government serves as the primary driver of promotional signals, followed by Shanghai, Guangdong and Beijing, while Chongqing acts as a key recipient. Simultaneously, successful local implementation can feed back experiential knowledge to central policy, constituting a dual-directional diffusion mechanism of NEV policies between the central and local governments. These findings offer valuable insights into the understanding and diffusion of NEV policy in the digital era, revealing the complex interactions across diverse regions and administrative levels.

Suggested Citation

  • Qin, Quande & Wen, Zhibin & Zhou, Zhihao & Fan, Bi, 2025. "Leveraging social media for new energy vehicle policy diffusion in China: A central-local government interaction analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 195(C).
  • Handle: RePEc:eee:transa:v:195:y:2025:i:c:s0965856425000874
    DOI: 10.1016/j.tra.2025.104459
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    References listed on IDEAS

    as
    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Green, Erin H. & Skerlos, Steven J. & Winebrake, James J., 2014. "Increasing electric vehicle policy efficiency and effectiveness by reducing mainstream market bias," Energy Policy, Elsevier, vol. 65(C), pages 562-566.
    3. Greene, Derek & Cross, James P., 2017. "Exploring the Political Agenda of the European Parliament Using a Dynamic Topic Modeling Approach," Political Analysis, Cambridge University Press, vol. 25(1), pages 77-94, January.
    4. Thomas P. Lyon & Haitao Yin, 2010. "Why Do States Adopt Renewable Portfolio Standards?: An Empirical Investigation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 133-158.
    5. Zhang, Lei & Qin, Quande, 2018. "China’s new energy vehicle policies: Evolution, comparison and recommendation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 57-72.
    6. Wu, Zezhou & He, Qiufeng & Li, Jiarun & Bi, Guoqiang & Antwi-Afari, Maxwell Fordjour, 2023. "Public attitudes and sentiments towards new energy vehicles in China: A text mining approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    7. Zhang, Xiang & Bai, Xue, 2017. "Incentive policies from 2006 to 2016 and new energy vehicle adoption in 2010–2020 in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 24-43.
    8. Chenggang Xu, 2011. "The Fundamental Institutions of China's Reforms and Development," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 1076-1151, December.
    9. Hemmati, Reza & Saboori, Hedayat & Jirdehi, Mehdi Ahmadi, 2017. "Stochastic planning and scheduling of energy storage systems for congestion management in electric power systems including renewable energy resources," Energy, Elsevier, vol. 133(C), pages 380-387.
    10. Armstrong, John H., 2019. "Modeling effective local government climate policies that exceed state targets," Energy Policy, Elsevier, vol. 132(C), pages 15-26.
    11. Thomas P. Lyon & Haitao Yin, 2010. "Why Do States Adopt Renewable Portfolio Standards?: An Empirical Investigation," The Energy Journal, , vol. 31(3), pages 133-158, July.
    12. Limei Ma & Qianying Wang & Dan Shi & Qinglong Shao, 2023. "Spatiotemporal patterns and determinants of renewable energy innovation: Evidence from a province-level analysis in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    13. 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.
    14. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    15. Goyal, Srishti & Llop, Maria, 2024. "The shipping industry under the EU Green Deal: An Input-Output impact analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    16. Wang, Zhongcheng & Li, Xinyue & Xue, Xinhong & Liu, Yahuan, 2022. "More government subsidies, more green innovation? The evidence from Chinese new energy vehicle enterprises," Renewable Energy, Elsevier, vol. 197(C), pages 11-21.
    17. Rong-Chang Jou & Chih-Hung Lai & Tzu-Ying Chen, 2023. "College students’ potential purchase intention of electric two-wheeled vehicles," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    18. Youlang Zhang & Xufeng Zhu, 2019. "Multiple mechanisms of policy diffusion in China," Public Management Review, Taylor & Francis Journals, vol. 21(4), pages 495-514, April.
    19. Hu, Zheng & Yuan, Jiahai, 2018. "China’s NEV market development and its capability of enabling premium NEV: Referencing from the NEV market performance of BMW and Mercedes in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 545-555.
    20. Wang, Ke & Wei, Yi-Ming, 2014. "China’s regional industrial energy efficiency and carbon emissions abatement costs," Applied Energy, Elsevier, vol. 130(C), pages 617-631.
    21. Dong, Feng & Liu, Yajie, 2020. "Policy evolution and effect evaluation of new-energy vehicle industry in China," Resources Policy, Elsevier, vol. 67(C).
    22. Qian, Lixian & Grisolía, Jose M. & Soopramanien, Didier, 2019. "The impact of service and government-policy attributes on consumer preferences for electric vehicles in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 70-84.
    23. Zhu, 2014. "Mandate Versus Championship: Vertical government intervention and diffusion of innovation in public services in authoritarian China," Public Management Review, Taylor & Francis Journals, vol. 16(1), pages 117-139, January.
    24. Furman, Jeffrey L. & Porter, Michael E. & Stern, Scott, 2002. "The determinants of national innovative capacity," Research Policy, Elsevier, vol. 31(6), pages 899-933, August.
    25. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    26. repec:nas:journl:v:115:y:2018:p:3308-3313 is not listed on IDEAS
    27. Wang, Ning & Pan, Huizhong & Zheng, Wenhui, 2017. "Assessment of the incentives on electric vehicle promotion in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 177-189.
    28. Bi Fan & Zhibin Wen & Quande Qin, 2024. "Competition and cooperation mechanism of new energy vehicle policies in China’s key regions," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
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