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Factors Influencing the Adoption of Intelligent Agriculture Production Technology by Large-Scale Agricultural Growers in Shandong Province, China

Author

Listed:
  • Yikun An

    (Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia)

  • Mohamad Fadhli Rashid

    (Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia)

  • Khairul Hisyam Kamarudin

    (Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia)

Abstract

The development of intelligent agriculture is an important condition for transforming the mode of agricultural production and accelerating the modernisation of agriculture and rural areas, and it is an important part of China’s sustainable development strategy. In order to transform agricultural production methods and accelerate the development of modernisation of agriculture and rural areas, the paper applies rootedness theory to qualitatively analyse the constraints on the adoption of smart agriculture production behaviours by large agricultural growers based on 16 in-depth interviews in Shandong Province. Based on 16 in-depth interview data in Shandong Province, the paper applies rootedness theory to qualitatively analyse the constraints on adopting intelligent agriculture production behaviours by large agricultural growers. Through triple coding construction using Nvivo 11 software, a theoretical model including the social level (policy environment), the user level (personal cognitive situation, degree of cognition of intelligent agriculture technology), and the level of supply of intelligent agriculture technology (supply of resources) is established, for which suggestions are made to strengthen policy publicity and technology promotion, and to increase policy support to promote the development of intelligent agriculture in Shandong Province. This study deepens the theoretical mechanism of the adoption behaviour of large-scale farmers’ intelligent agriculture production technology, providing suggestions for the government to introduce more targeted policies for the development of intelligent agriculture, which will help promote the transformation and development of China’s agricultural modernization.

Suggested Citation

  • Yikun An & Mohamad Fadhli Rashid & Khairul Hisyam Kamarudin, 2025. "Factors Influencing the Adoption of Intelligent Agriculture Production Technology by Large-Scale Agricultural Growers in Shandong Province, China," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(2), pages 2984-2995, February.
  • Handle: RePEc:bcp:journl:v:9:y:2025:issue-2:p:2984-2995
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    References listed on IDEAS

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    1. Madhu Khanna & Shady S. Atallah & Saurajyoti Kar & Bijay Sharma & Linghui Wu & Chengzheng Yu & Girish Chowdhary & Chinmay Soman & Kaiyu Guan, 2022. "Digital transformation for a sustainable agriculture in the United States: Opportunities and challenges," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 924-937, November.
    2. Wang, Jirong & Cramer, Gail L. & Wailes, Eric J., 1996. "Production efficiency of Chinese agriculture: evidence from rural household survey data," Agricultural Economics, Blackwell, vol. 15(1), pages 17-28, September.
    3. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    4. Jirong Wang & Gail L. Cramer & Eric J. Wailes, 1996. "Production efficiency of Chinese agriculture: evidence from rural household survey data," Agricultural Economics, International Association of Agricultural Economists, vol. 15(1), pages 17-28, September.
    5. Jui-Hsiung Chuang & Jiun-Hao Wang & Yu-Chang Liou, 2020. "Farmers’ Knowledge, Attitude, and Adoption of Smart Agriculture Technology in Taiwan," IJERPH, MDPI, vol. 17(19), pages 1-8, October.
    6. Brown, Calum & Kovács, Eszter & Herzon, Irina & Villamayor-Tomas, Sergio & Albizua, Amaia & Galanaki, Antonia & Grammatikopoulou, Ioanna & McCracken, Davy & Olsson, Johanna Alkan & Zinngrebe, Yves, 2021. "Simplistic understandings of farmer motivations could undermine the environmental potential of the common agricultural policy," Land Use Policy, Elsevier, vol. 101(C).
    7. Vasileios P. Georgopoulos & Dimitris C. Gkikas & John A. Theodorou, 2023. "Factors Influencing the Adoption of Artificial Intelligence Technologies in Agriculture, Livestock Farming and Aquaculture: A Systematic Literature Review Using PRISMA 2020," Sustainability, MDPI, vol. 15(23), pages 1-19, November.
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