IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0310491.html

Assess the efficacy of China’s Inter-provincial Government Services policy: A quantitative evaluation based on PMC-Index model

Author

Listed:
  • Rong-qing Geng
  • Jian Wu

Abstract

To face with the challenges of governance in the digital age, such as insufficient coordination between regional governments and low quality and efficiency of government services, China has proposed the Inter-provincial Government Services Policy. The policy is capable of realizing the government’s ability to handle service matters for the public in different regions, thus facilitating the regional government’s coordination and upgrading the level of government services. This paper collects and organizes the texts of 28 Inter-provincial Government Services policies, and uses ROSTCM6 text mining software to screen and identify the policy text content. Then a quantitative evaluation method based on the PMC model is proposed to examine the consistency and efficacy of the policy in this paper. The results show that: (a) The policy design is generally considered to be rational, with the majority of policies rated as excellent and a few rated as acceptable. There are no policies considered bad or perfect. From a certain point of view, these policies show obvious advantages in terms of policy nature, policy content and policy function. (b) The equilibrium of various policy indicators implies a high level of policy consistency. It indicates the overall coherence and coordination of the policies, contributing to enhanced predictability, credibility, and operationalization of policies, thereby establishing the foundation for their effective implementation. (c) There are still several weak points with the current policies, including the narrow scope of areas, the lack of medium- and long-term planning, and the insufficiently scientific nature of the instruments, evaluations and citations. This paper presents optimization recommendations aimed at addressing the aforementioned issues, which include expanding the scope of the policy, bolstering the long-term impact of the policy, and enhancing the quality of decision-making.

Suggested Citation

  • Rong-qing Geng & Jian Wu, 2024. "Assess the efficacy of China’s Inter-provincial Government Services policy: A quantitative evaluation based on PMC-Index model," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-22, December.
    • Handle: RePEc:plo:pone00:0310491
    DOI: 10.1371/journal.pone.0310491
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0310491
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0310491&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0310491?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
    ---><---

    References listed on IDEAS

    as
    1. Daniel Veit & Jan Huntgeburth, 2014. "Foundations of Digital Government," Springer Texts in Business and Economics, Springer, edition 127, number 978-3-642-38511-7, January.
    2. Sascha Kraus & Paul Jones & Norbert Kailer & Alexandra Weinmann & Nuria Chaparro-Banegas & Norat Roig-Tierno, 2021. "Digital Transformation: An Overview of the Current State of the Art of Research," SAGE Open, , vol. 11(3), pages 21582440211, September.
    3. Brock, William A. & Durlauf, Steven N. & West, Kenneth D., 2007. "Model uncertainty and policy evaluation: Some theory and empirics," Journal of Econometrics, Elsevier, vol. 136(2), pages 629-664, February.
    4. Guilisse La Fortune Nkoua Nkuika & Xia Yiqun, 2022. "Quantitative Evaluation and Optimization Path of Advanced Manufacturing Development Policy Based on the PMC–AE Index Model," International Journal of Global Business and Competitiveness, Springer, vol. 17(1), pages 1-11, December.
    Full references (including those not matched with items on IDEAS)

    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. Carmen Elena Stoenoiu, 2025. "Perspectives on the development of digital techniques and tools with implications for accounting and financial audit services," GATR Journals jfbr232, Global Academy of Training and Research (GATR) Enterprise.
    2. Orphanides, Athanasios & Williams, John C., 2008. "Learning, expectations formation, and the pitfalls of optimal control monetary policy," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 80-96, October.
    3. Marco Del Negro & Frank Schorfheide, 2009. "Monetary Policy Analysis with Potentially Misspecified Models," American Economic Review, American Economic Association, vol. 99(4), pages 1415-1450, September.
    4. Boyao Zhang & Liping Xu, 2025. "Research on Policy Optimization for Coordinated Development of Digital Content Industry in China’s Yangtze River Delta Region—Based on the PMC-Index Model," SAGE Open, , vol. 15(3), pages 21582440251, September.
    5. Muhammad Hammad & Khatijah Omar & Muhammad Abi Sofian Bin Abdul Halim & Muqaddas Abid & Asad Javed & Muhammad Junaid Zafar, 2025. "Digital Transformation in Public Sector: Enhancing Employee Motivation and Performance," Public Organization Review, Springer, vol. 25(3), pages 1459-1481, September.
    6. Hansen, Lars Peter & Sargent, Thomas J., 2007. "Recursive robust estimation and control without commitment," Journal of Economic Theory, Elsevier, vol. 136(1), pages 1-27, September.
    7. Qiu Peiyao & Zhang Runze, 2024. "The Impact of Blockchain Technology Applications on Enterprise Innovation in the Digital Economy Era: An Empirical Test Based on a PSM-DID Model," SAGE Open, , vol. 14(3), pages 21582440241, August.
    8. Durlauf, Steven N. & Navarro, Salvador & Rivers, David A., 2016. "Model uncertainty and the effect of shall-issue right-to-carry laws on crime," European Economic Review, Elsevier, vol. 81(C), pages 32-67.
    9. Seyi Stephen & Clinton Aigbavboa, 2025. "Enhancing Academia–Industry Partnerships for Sustainable Building: A Change Framework for Research and Innovation Integration in Sub-Saharan Africa," Sustainability, MDPI, vol. 17(9), pages 1-33, April.
    10. In-Koo Cho & Kenneth Kasa, 2015. "Learning and Model Validation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(1), pages 45-82.
    11. Andreas Kallmuenzer & Alexey Mikhaylov & Mihaela Chelaru & Wojciech Czakon, 2025. "Adoption and performance outcome of digitalization in small and medium-sized enterprises," Review of Managerial Science, Springer, vol. 19(7), pages 2011-2038, July.
    12. Guo Ying, 2024. "Digital Entrepreneurial Orientation and Green Innovation in the VUCA Era: The Impact of Cross-organizational Improvisation and Social Ties," SAGE Open, , vol. 14(3), pages 21582440241, September.
    13. Chen, Zhenyun & Li, Huxing & Wang, Tianbo & Wu, Junxian, 2023. "How digital transformation affects bank risk: Evidence from listed Chinese banks," Finance Research Letters, Elsevier, vol. 58(PA).
    14. Klaus Ulrich & María Guijarro-García & Esther Pagán-Castaño & Paula Nieto-Alemán, 2025. "Drivers of decision-making towards for digital transformation," Review of Managerial Science, Springer, vol. 19(7), pages 2105-2125, July.
    15. Zhang, Sihan & Chen, Zhibin, 2025. "Experts on the board: How do IT-savvy directors promote corporate digital innovation?," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 791-817.
    16. Michael Ricky Sondak & Retno Ardianti & Serli Wijaya & Toong Tjiek Liauw, 2025. "Bridging Parental Influence and Entrepreneurship Education: The Role of Entrepreneurial and Digital Competencies in Shaping Entrepreneurial Career Aspirations," SAGE Open, , vol. 15(4), pages 21582440251, October.
    17. Athanasios Orphanides & Volker Wieland, 2013. "Complexity and Monetary Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 9(1), pages 167-204, January.
    18. Francesca Rondina, 2017. "Model Uncertainty and the Direction of Fit of the Postwar U.S. Phillips Curve(s)," Working Papers 1702E, University of Ottawa, Department of Economics.
    19. Ali Alichi & Kevin Clinton & Charles Freedman & Mr. Ondrej Kamenik & Michel Juillard & Mr. Douglas Laxton & Mr. Jarkko Turunen & Hou Wang, 2015. "Avoiding Dark Corners: A Robust Monetary Policy Framework for the United States," IMF Working Papers 2015/134, International Monetary Fund.
    20. Paraskevi Boufounou & Magdalini Mavroudi & Kanellos Toudas & Georgios Georgakopoulos, 2022. "Digital Transformation of the Greek Banking Sector in the COVID Era," Sustainability, MDPI, vol. 14(19), pages 1-13, September.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0310491. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.