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 1-19, 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. 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.
    2. 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.
    3. 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.
    4. 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.
    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. 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. Chiang Ku Fan & Chen-Ying Lee, 2023. "An Empirical Study of Internet Insurance in Taiwan Adopting the Theoretical Framework of UTAUT2," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(5), pages 1-1.
    3. Mehree Iqbal & Afrin Rifat & Nabila Nisha, 2021. "Evaluating Attractiveness and Perceived Risks: The Case of Green Banking Services in Bangladesh," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(1), pages 1-23, January.
    4. Faten Hamad, 2018. "Using Artificial Bee Colony Algorithm for Test Data Generation and Path Testing Coverage," Modern Applied Science, Canadian Center of Science and Education, vol. 12(7), pages 1-99, July.
    5. 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.
    6. 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.
    7. Jiaxu Ling & Yongji Xue & Chenyujing Yang & Yuanyuan Zhang, 2022. "Effect of Farmers’ Awareness of Climate Change on Their Willingness to Adopt Low-Carbon Production: Based on the TAM-SOR Model," IJERPH, MDPI, vol. 20(1), pages 1-17, December.
    8. Shakir Hussain Parrey & Suhail Ahmad Bhat, 2019. "Individual risk propensity and agri-entrepreneurial financing effectiveness: strategy for sustainable agri-financing," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 46(1), pages 75-90, March.
    9. Yong Chen & Yaqi Liang & Hao Zhou & Qiaozhi Wang & Yanzhong Liu, 2022. "Farmers’ Adaptive Behaviors to Heavy Metal-Polluted Cultivated Land in Mining Areas: The Influence of Farmers’ Characteristics and the Mediating Role of Perceptions," IJERPH, MDPI, vol. 19(11), pages 1-17, May.
    10. Jorge Armando Hernández-López & Diana Ximena Puerta-Cortés & Hernán J. Andrade, 2024. "Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia," Sustainability, MDPI, vol. 16(16), pages 1-18, August.
    11. Faten hamad, 2018. "An Overview of Service Composition in Service Oriented Architecture," Modern Applied Science, Canadian Center of Science and Education, vol. 12(8), pages 172-172, August.
    12. Changming Cheng & Qiang Gao & Yuqing Qiu, 2022. "Assessing the Ability of Agricultural Socialized Services to Promote the Protection of Cultivated Land among Farmers," Land, MDPI, vol. 11(8), pages 1-16, August.
    13. Jianping Li & Minglu Li & Dengsheng Wu & Qianzhi Dai & Hao Song, 2016. "A Bayesian Networks-Based Risk Identification Approach for Software Process Risk: The Context of Chinese Trustworthy Software," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1391-1412, November.
    14. Zhou Xue & Jieqiong Li & Guangqiao Cao, 2022. "Training and Self-Learning: How to Improve Farmers’ Willingness to Adopt Farmland Conservation Technology? Evidence from Jiangsu Province of China," Land, MDPI, vol. 11(12), pages 1-15, December.
    15. Hao Li & Junchi Liu & Wei-Yew Chang, 2024. "Influence of Self-Identity and Social Identity on Farmers’ Willingness for Cultivated Land Quality Protection," Land, MDPI, vol. 13(9), pages 1-21, August.
    16. Xiaoying Wang & Hangang Hu & Aifeng Ning & Guan Li & Xueqi Wang, 2022. "The Impact of Farmers’ Perception on Their Cultivated Land Quality Protection Behavior: A Case Study of Ningbo, China," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    17. Zhe Chen & Apurbo Sarkar & Ahmed Khairul Hasan & Xiaojing Li & Xianli Xia, 2021. "Evaluation of Farmers’ Ecological Cognition in Responses to Specialty Orchard Fruit Planting Behavior: Evidence in Shaanxi and Ningxia, China," Agriculture, MDPI, vol. 11(11), pages 1-18, October.

    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.