IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i10p3972-d1391364.html
   My bibliography  Save this article

Does Farmers’ Cognition Enhance Their Enthusiasm for Adopting Sustainable Digital Agricultural Extension Services? Evidence from Rural China

Author

Listed:
  • Tianzhi Gao

    (School of Economic and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Qian Lu

    (School of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Yiping Zhang

    (School of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Hui Feng

    (School of Economics and Management, Northwest A&F University, Yangling 712100, China)

Abstract

The service model of digital agricultural technology extension, as a novel and sustainable approach, plays a pivotal role in facilitating the digital transformation of farmers’ agricultural practices. Leveraging survey data from 1475 farmers in China, the study employed a multivariate ordered logit model to investigate the relationship between farmers’ cognition and enthusiasm to adopt digital agricultural extension services. The findings revealed that subjective and objective cognitions positively influence farmers’ enthusiasm for adopting digital agricultural extension services. Furthermore, policy incentives, as a significant regulatory factor, effectively influence farmers’ cognition levels and enthusiasm to adopt digital agricultural extension services. Additionally, female respondents, farmers with higher educational levels, and membership in agricultural cooperatives all facilitate the adoption of these services. This study not only enriches the theoretical framework for agricultural technology promotion, aiding in the understanding of farmers’ decision-making processes when adopting digital agricultural extension services, but also provides a deeper insight into the role of digital agricultural technologies in promoting sustainable agricultural development, offering scientific evidence for relevant policy formulation and implementation.

Suggested Citation

  • Tianzhi Gao & Qian Lu & Yiping Zhang & Hui Feng, 2024. "Does Farmers’ Cognition Enhance Their Enthusiasm for Adopting Sustainable Digital Agricultural Extension Services? Evidence from Rural China," Sustainability, MDPI, vol. 16(10), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:3972-:d:1391364
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/10/3972/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/10/3972/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adel Al Khattab & Hasan Al-Shalabi & Khamis Al-Khattab & Mahmaod Al-Rawad, 2015. "The effect of trust and risk perception on citizen's intention to adopt and use e-government services in Jordan," Proceedings of International Academic Conferences 1003157, International Institute of Social and Economic Sciences.
    2. Chen, Jiahui & Liao, Hua & Zhang, Tong, 2024. "Empowering women substantially accelerates the household clean energy transition in China," Energy Policy, Elsevier, vol. 187(C).
    3. Hongbin Liu & Yuepeng Zhou, 2018. "Farmers’ Cognition and Behavioral Response towards Cultivated Land Quality Protection in Northeast China," Sustainability, MDPI, vol. 10(6), pages 1-12, June.
    4. Rainer Hirk & Kurt Hornik & Laura Vana, 2019. "Multivariate ordinal regression models: an analysis of corporate credit ratings," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 507-539, September.
    5. Zheng, Hongyun & Ma, Wanglin & Wang, Fang & Li, Gucheng, 2021. "Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis," Food Policy, Elsevier, vol. 102(C).
    6. Nawab Khan & Jiliang Ma & Hazem S. Kassem & Rizwan Kazim & Ram L. Ray & Muhammad Ihtisham & Shemei Zhang, 2022. "Rural Farmers’ Cognition and Climate Change Adaptation Impact on Cash Crop Productivity: Evidence from a Recent Study," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
    7. Mario Silic & Andrea Back, 2016. "The Influence of Risk Factors in Decision-Making Process for Open Source Software Adoption," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 151-185, January.
    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. Hongwei Yu & Yue Sun & Yixin Cui & Xinyue Tan & Yufeng Hou & Zongren Kuang, 2025. "The Impact of Farmers’ Cognition and Attitudes on the Adoption of Conservation Tillage: An Empirical Study Based on the Lishu Model," Sustainability, MDPI, vol. 17(12), pages 1-12, June.

    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. Faten Hamad, 2018. "An Overview of Hadoop Scheduler Algorithms," Modern Applied Science, Canadian Center of Science and Education, vol. 12(8), pages 1-69, August.
    2. Thanh‐Tung Nguyen & Trung Thanh Nguyen & Ulrike Grote, 2023. "Internet use and agricultural productivity in rural Vietnam," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1309-1326, August.
    3. Yiwei Fan & Jiaqi Gu & Guosheng Yin, 2023. "Sparse concordance‐based ordinal classification," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(3), pages 934-961, September.
    4. Xiaofang Dai & Zhenhua Zhang & Weiming Gan & Dongshou Fan, 2025. "Can Digital Economy Facilitate Household Clean Cooking Fuel Transition? Empirical Evidence from China," Sustainability, MDPI, vol. 17(1), pages 1-20, January.
    5. Lu, Hongwei & Li, Tingting & Li, Guojing & Luo, Qiyou & Gao, Mingjie, 2025. "Digital literacy and the rural cooking energy transition: Evidence from rural China," Energy Policy, Elsevier, vol. 198(C).
    6. Jaspreet Kaur & Madhu Vij & Ajay Kumar Chauhan, 2023. "Signals influencing corporate credit ratings—a systematic literature review," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 50(1), pages 91-114, March.
    7. Vicent, Lukyamuzi & Senyonga, Livingstone & Namagembe, Sheila & Nantumbwe, Shamim, 2025. "Analysis of the impact of women's empowerment and social network connections on the adoption and sustained use of clean cooking fuels and technologies in Uganda," Energy Policy, Elsevier, vol. 198(C).
    8. Diro, Samuel & Mohammed, Ali & Getahun, Wudineh & Mamo, Tadele, 2024. "Technical Efficiency of Smallholder Wheat Farmers in Ethiopia: A Panel Data Approach," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344277, International Association of Agricultural Economists (IAAE).
    9. Awal Abdul‐Rahaman & Gazali Issahaku & Wanglin Ma, 2023. "Agrifood system participation and production efficiency among smallholder vegetable farmers in Northern Ghana," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 812-835, July.
    10. Awaworyi Churchill, Sefa & Smyth, Russell & Trinh, Trong-Anh, 2025. "Gender norms and solar panel energy adoption in Australia: Evidence from a natural experiment," Energy Economics, Elsevier, vol. 141(C).
    11. Chandio, Abbas Ali & Ozdemir, Dicle & Jiang, Yuansheng, 2023. "Modelling the impact of climate change and advanced agricultural technologies on grain output: Recent evidence from China," Ecological Modelling, Elsevier, vol. 485(C).
    12. Shen, Zhiyang & Wang, Songkai & Boussemart, Jean-Philippe & Hao, Yu, 2022. "Digital transition and green growth in Chinese agriculture," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    13. Nguyen-Anh, Tuan & Hoang-Duc, Chinh & Tiet, Tuyen & Nguyen-Van, Phu & To-The, Nguyen, 2022. "Composite effects of human, natural and social capitals on sustainable food-crop farming in Sub-Saharan Africa," Food Policy, Elsevier, vol. 113(C).
    14. Hongbin Liu & Yuepeng Zhou, 2018. "Urbanization, Land Use Behavior and Land Quality in Rural China: An Analysis Based on Pressure-Response-Impact Framework and SEM Approach," IJERPH, MDPI, vol. 15(12), pages 1-11, November.
    15. Shipeng Yang & Wanxiang Xu & Yuxuan Xie & Muhammad Tayyab Sohail & Yefang Gong, 2023. "Impact of Natural Hazards on Agricultural Production Decision Making of Peasant Households: On the Basis of the Micro Survey Data of Hunan Province," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    16. Deng, Zhilong & Liu, Jian & Hong, Yu & Liu, Weigang, 2024. "The effect of internet use on nutritional intake and health outcomes: New evidence from rural China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11, pages 01-11.
    17. Xin Deng & Lingzhi Zhang & Rong Xu & Miao Zeng & Qiang He & Dingde Xu & Yanbin Qi, 2022. "Do Cooperatives Affect Groundwater Protection? Evidence from Rural China," Agriculture, MDPI, vol. 12(7), pages 1-14, July.
    18. Vana-Gür, Laura, 2024. "Multivariate ordinal regression for multiple repeated measurements," Computational Statistics & Data Analysis, Elsevier, vol. 199(C).
    19. Sen, Kanchan Kumar & Chapman, Andrew J. & Saha, Bidyut Baran, 2024. "Women's empowerment: A catalyst for addressing energy poverty and energy inequality in developing countries," Energy, Elsevier, vol. 313(C).
    20. Shilei Qiao & Jiyao Liu & Tao Xu & Desheng Zhang, 2025. "Livelihood Capital, Speculative Preferences, and Natural Rubber Farmers’ Participation in Cooperatives," Agriculture, MDPI, vol. 15(5), pages 1-18, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jsusta:v:16:y:2024:i:10:p:3972-:d:1391364. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.