IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0307529.html
   My bibliography  Save this article

Quantitative evaluation of science and technology financial policies based on the PMC-AE index model: A case study of China’s science and technology financial policies since the 13th five-year plan

Author

Listed:
  • Hongyuan Shen
  • Panyu Xiong
  • Linfeng Yang
  • Ling Zhou

Abstract

The formulation of science and technology financial policies directly influences the direction of national economic development. Quantitative evaluation of these policies is an important method to reflect the consistency and strengths and weaknesses of policy interrelations. This paper analyzes 16 science and technology financial policy documents issued by the Chinese central government from 2016 to 2022, using text analysis and content analysis to extract keyword frequencies, and constructs 9 primary variables and 34 secondary variables. For the first time, a PMC-AE index model for science and technology financial policies is established, and a quantitative evaluation is conducted on 5 significant policy documents out of the 16. The results show that, from an overall analysis, Policy 1 and Policy 4 are at a good level, while the other three policies are at an excellent level. From the analysis of individual policy PMC-AE indexes, the rankings in descending order are: P2 > P5 > P3 > P4 > P1. Overall, the policies effectively meet the needs of China’s science and technology financial development, with P2, P3, and P5 being at an excellent level, P4 at a good level, and P1 at an acceptable level, mainly reflecting the need for improvement in aspects such as policy synchronization with the current stage, targeted entities, guiding fields, and policy content. It is recommended that Chinese government departments should focus on five aspects in policy formulation: building a talent system for science and technology finance, improving the quality of financial services, coordinating central and local financial policies, protecting intellectual property rights in science and technology finance, and strengthening financial supervision. This will be conducive to the effective implementation of science and technology financial policies.

Suggested Citation

  • Hongyuan Shen & Panyu Xiong & Linfeng Yang & Ling Zhou, 2024. "Quantitative evaluation of science and technology financial policies based on the PMC-AE index model: A case study of China’s science and technology financial policies since the 13th five-year plan," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-28, August.
    • Handle: RePEc:plo:pone00:0307529
    DOI: 10.1371/journal.pone.0307529
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0307529
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0307529&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0307529?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. Alison Young, 1996. "Measuring R&D in the Services," OECD Science, Technology and Industry Working Papers 1996/7, OECD Publishing.
    2. Yuanyuan Li & Yindan Zhang & Yasir Ahmed Solangi, 2023. "Assessing ESG Factors and Policies of Green Finance Investment Decisions for Sustainable Development in China Using the Fuzzy AHP and Fuzzy DEMATEL," Sustainability, MDPI, vol. 15(21), pages 1-23, October.
    3. Shengli Dai & Weimin Zhang & Jiamin Zong & Yingying Wang & Ge Wang, 2021. "How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    4. Zheng, Saina & Lam, Chor-Man & Hsu, Shu-Chien & Ren, Jingzheng, 2018. "Evaluating efficiency of energy conservation measures in energy service companies in China," Energy Policy, Elsevier, vol. 122(C), pages 580-591.
    5. Wentao Feng & Tailong Chen & Longsheng Li & Le Zhang & Bingyan Deng & Wei Liu & Jian Li & Dongsheng Cai, 2024. "Application of Neural Networks on Carbon Emission Prediction: A Systematic Review and Comparison," Energies, MDPI, vol. 17(7), pages 1-15, March.
    6. Yan Dai & Yasir Ahmed Solangi, 2023. "Evaluating and Prioritizing the Green Infrastructure Finance Risks for Sustainable Development in China," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    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. Yu Zhang & Wenxin Xiong & Li Dong, 2024. "Impacts of Policies on Tourism-Oriented Rural Spaces: A Case Study of Minority Villages in Yanbian Prefecture," Land, MDPI, vol. 13(12), pages 1-23, December.
    2. Kai Zhou & Xiang Yuan & Ziyuan Guo & Jianrui Wu & Ruijia Li, 2024. "Research on Sustainable Port: Evaluation of Green Port Policies on China’s Coasts," Sustainability, MDPI, vol. 16(10), pages 1-25, May.
    3. Xuan Liu & Xuexi Huo, 2024. "Green Finance, Land Transfer and China’s Agricultural Green Total Factor Productivity," Land, MDPI, vol. 13(12), pages 1-18, December.
    4. Amable, Bruno & Palombarini, Stefano, 1998. "Technical change and incorporated R&D in the service sector," Research Policy, Elsevier, vol. 27(7), pages 655-675, November.
    5. Chenrui Lu & Bing Wang & Tinggui Chen & Jianjun Yang, 2022. "A Document Analysis of Peak Carbon Emissions and Carbon Neutrality Policies Based on a PMC Index Model in China," IJERPH, MDPI, vol. 19(15), pages 1-16, July.
    6. Shengli Dai & Weimin Zhang & Jiamin Zong & Yingying Wang & Ge Wang, 2021. "How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    7. Liwen Qi & Wenjing Chen & Chunyan Li & Xiaoting Song & Lanqing Ge, 2024. "Quantitative Evaluation of China’s Biogenetic Resources Conservation Policies Based on the Policy Modeling Consistency Index Model," Sustainability, MDPI, vol. 16(12), pages 1-20, June.
    8. Rodriguez, Mercedes & Doloreux, David & Shearmur, Richard, 2017. "Variety in external knowledge sourcing and innovation novelty: Evidence from the KIBS sector in Spain," Technovation, Elsevier, vol. 68(C), pages 35-43.
    9. Faridah Djellal & Faïz Gallouj, 1999. "Services and the search for relevant innovation indicators: a review of national and international surveys," Science and Public Policy, Oxford University Press, vol. 26(4), pages 218-232, August.
    10. Bloom, Nick & Griffith, Rachel & Van Reenen, John, 2002. "Do R&D tax credits work? Evidence from a panel of countries 1979-1997," Journal of Public Economics, Elsevier, vol. 85(1), pages 1-31, July.
    11. Zarbakhshnia, Navid & Ma, Zhenliang, 2024. "Critical success factors for the adoption of AVs in sustainable urban transportation," Transport Policy, Elsevier, vol. 156(C), pages 62-76.
    12. Zhao, Hongli & Lin, Boqiang, 2019. "Will agglomeration improve the energy efficiency in China’s textile industry: Evidence and policy implications," Applied Energy, Elsevier, vol. 237(C), pages 326-337.
    13. Jiaguo Liu & Huida Zhao & Yibing Lyu & Xiaohang Yue, 2023. "The provision strategy of blockchain service under the supply chain with downstream competition," Annals of Operations Research, Springer, vol. 327(1), pages 375-400, August.
    14. Wang, Zhaohua & Liu, Qiang & Zhang, Bin, 2022. "What kinds of building energy-saving retrofit projects should be preferred? Efficiency evaluation with three-stage data envelopment analysis (DEA)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    15. Ark, Bart van & Broersma, Lourens & Jong, Gjalt de, 1999. "Innovation in services : overview of data sources and analytical structures," GGDC Research Memorandum 199944, Groningen Growth and Development Centre, University of Groningen.
    16. Tomasz Rokicki & Aleksandra Perkowska & Bogdan Klepacki & Piotr Bórawski & Aneta Bełdycka-Bórawska & Konrad Michalski, 2021. "Changes in Energy Consumption in Agriculture in the EU Countries," Energies, MDPI, vol. 14(6), pages 1-21, March.
    17. Liang-han Ma & Jin-chi Hsieh & Yung-ho Chiu, 2019. "A Study on the Effects of Energy and Environmental Efficiency at China’s Provincial Level," Energies, MDPI, vol. 12(4), pages 1-13, February.
    18. Bruce Tether, 2003. "The sources and aims of innovation in services: Variety between and within sectors," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(6), pages 481-505.
    19. Zeynep Ceylan, 2020. "Assessment of agricultural energy consumption of Turkey by MLR and Bayesian optimized SVR and GPR models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 944-956, September.
    20. Van Reenen, John & Griffith, Rachel & Bloom, Nicholas, 2000. "Do R&D Credits Work? Evidence From A Panel Of Countries 1979-97," CEPR Discussion Papers 2415, C.E.P.R. Discussion Papers.

    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:pone00:0307529. 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.