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Leveraging Text Mining and Network Analysis for the Diffusion of Agricultural Science and Technology Policies in China

Author

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  • Xiaohe Liang

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs, Beijing 100081, China
    These authors contributed equally to this work.)

  • Yu Wu

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    These authors contributed equally to this work.)

  • Jiajia Liu

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs, Beijing 100081, China
    These authors contributed equally to this work.)

  • Jiayu Zhuang

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

  • Tong Yuan

    (Agricultural Trade Promotion Center, Minister of Agriculture and Rural Affairs, Beijing 100125, China)

  • Ying Chen

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Lizhen Cui

    (College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Ailian Zhou

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

  • Jiajia Zhou

    (Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Tong Li

    (School of Agriculture and Food Sustainability, The University of Queensland, St Lucia, QLD 4072, Australia)

Abstract

Agricultural science and technology policies (ASTPs) have played a pivotal role in shaping agricultural innovation, sustainability, and cleaner production practices. Understanding how ASTPs diffuse is essential for optimizing policy design and advancing the green transition in agriculture. This study aims to investigate the diffusion of ASTPs in China, using a quantitative citation-based approach. The goal is to explore diffusion patterns, topic characteristics, and historical trajectories of ASTPs, thereby providing insights into policy transmission mechanisms that can inform future policy improvements. We analyze 3207 ASTP documents, focusing on policy citation links to examine the distribution, diffusion characteristics, and dynamics of policies. The analysis includes tracking topic evolution and identifying key policies while estimating the main diffusion paths. The results show that the top-down diffusion model is the dominant pattern of policy transmission, exhibiting the highest diffusion speed and both short- and long-term impacts. ASTPs have progressively expanded toward industrialization, informatization, and green development, with increased policy transmission efficiency. The diffusion process has formed three primary pathways: (i) enhancing agricultural innovation capacity, (ii) accelerating the transformation of technological achievements, and (iii) improving the agricultural science and technology innovation system. These pathways are critical to advancing sustainable and cleaner agricultural production. This study provides valuable insights into the diffusion of ASTPs and highlights key pathways for policy optimization. The findings suggest that enhancing policy frameworks and improving policy implementation efficiency will be crucial for facilitating the transition toward sustainable, low-carbon, and environmentally friendly agricultural practices. Future research should refine data sources and incorporate semantic analysis to capture more detailed policy transmission mechanisms.

Suggested Citation

  • Xiaohe Liang & Yu Wu & Jiajia Liu & Jiayu Zhuang & Tong Yuan & Ying Chen & Lizhen Cui & Ailian Zhou & Jiajia Zhou & Tong Li, 2025. "Leveraging Text Mining and Network Analysis for the Diffusion of Agricultural Science and Technology Policies in China," Agriculture, MDPI, vol. 15(9), pages 1-26, April.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:9:p:959-:d:1644659
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    References listed on IDEAS

    as
    1. Timilsina, Govind R. & Pang, Jun & Xi, Yang, 2021. "Enhancing the quality of climate policy analysis in China: Linking bottom-up and top-down models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    2. Brian Y. An & Adam Butz & Min-Kyeong Cha & Joshua L. Mitchell, 2023. "Following neighbors or regional leaders? Unpacking the effect of geographic proximity in local climate policy diffusion," Policy Sciences, Springer;Society of Policy Sciences, vol. 56(4), pages 825-868, December.
    3. Juan R. Perilla Jiménez & Thomas H. W. Ziesemer, 2024. "Technology adoption, innovation policy and catching-up," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-24, April.
    4. 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.
    5. 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.
    6. Zhang, Kaiwen & Tan, Rong, 2024. "Land policy making in a complex system: The innovation and diffusion logic of China's retained land policy reform," Land Use Policy, Elsevier, vol. 144(C).
    7. Giulio Fusco, 2021. "Twenty Years of Common Agricultural Policy in Europe: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(19), pages 1-15, September.
    8. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
    9. 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.
    10. Arundel, Anthony & Casali, Luca & Hollanders, Hugo, 2015. "How European public sector agencies innovate: The use of bottom-up, policy-dependent and knowledge-scanning innovation methods," Research Policy, Elsevier, vol. 44(7), pages 1271-1282.
    11. Hu, Yuanhong & Liu, Jing & Zhang, Shuyu & Liu, Yuxin & Xu, Haixin & Liu, Pengling, 2024. "New mechanisms for increasing agricultural total factor productivity: Analysis of the regional effects of the digital economy," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 766-785.
    12. Mennig, Philipp, 2025. "Who cares about agriculture? Analyzing German parliamentary debates on agriculture and food with structural topic modeling," Food Policy, Elsevier, vol. 130(C).
    13. Ehlers, Melf-Hinrich & Huber, Robert & Finger, Robert, 2021. "Agricultural policy in the era of digitalisation," Food Policy, Elsevier, vol. 100(C).
    14. Radhika Lahiri & Zivanemoyo Chinzara, 2022. "Institutional reform, technology adoption and redistribution: a political economy perspective," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 59(2), pages 361-400, August.
    15. Zimm, Caroline, 2021. "Improving the understanding of electric vehicle technology and policy diffusion across countries," Transport Policy, Elsevier, vol. 105(C), pages 54-66.
    16. Anderson, John E. & Giertz, Seth H. & Shimul, Shafiun N., 2022. "Reducing property taxes for agriculture: Diffusion of use-value assessment policy across the United States," Land Use Policy, Elsevier, vol. 120(C).
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