The Dynamics of Farm Machinery Adoption among Rice and Maize Farmers in Nan, Thailand
Keywords:
Innovation-decision process, Adoption, Discontinuance, RejectionAbstract
This study employed Rogers’ five-stage model of the innovation-decision process to investigate the dynamics of farm machinery adoption, with a particular focus on the confirmation stage. An exploratory case study survey was conducted
with 18 rice and maize farmers in Wiang-Sa district, Nan province, Thailand. Participants were recruited using purposive and convenience sampling methods, and data were analyzed through thematic analysis. The findings revealed four decision patterns: continued adoption, discontinuance, later adoption, and continued rejection. Two key rationales underpinning these decisions were identified: the perceived
effectiveness of farm machinery and the availability of financial resources for
adoption. From a policy perspective, the study suggests that research and development on farm machinery should be strengthened to enhance its effectiveness, while agricultural extension services should provide guidance on the selection and
use of appropriate machinery. Furthermore, it is recommended that tailored financial measures, such as low-interest loans and subsidies, be introduced to support farmers with investment potential but insufficient financial resources.
References
Azumah, S. B., Lamptey, C. Y., Sulemana, N., Donkoh, S.,
Zakaria, A., & Maanikuu, P. M. I. (2022). An explorative
study on the adoption and dis-adoption of improved
rice varieties among farmers in the northern region of
Ghana. Journal of Experimental Biology and Agricultural
Sciences, 10(2), 323-334.
Bank for Agriculture and Agricultural Cooperatives (BAAC). (2020). Machinery Innovation Loan. Bank for
Agriculture and Agricultural Cooperatives [สิินเชื่่อนวััตกรรมเครื่่องจักรเครื่่องยนต์์].
https://www.baac.or.th/th/contentnews.
php?content_id=14974&content_group_sub=1&
content_group=3&content_group_semi=0002&
inside=1
Carrer, M. J., Filho, H. S., & Batalha, M. O. (2017). Factors
influencing the adoption of farm management
information systems (FMIS) by Brazilian citrus
farmers. Computers and Electronics in Agriculture,
, 11-19.
Chen, G. (Ed.). (2018). Advances in Agricultural Machinery
and Technologies. Florida, USA: CRC Press.
Chmiliar, L. (2010). Case study surveys. In A. J. Mills, G.
Durepos, & E. Wiebe (Eds.), Encyclopedia of case
study research (pp. 125-126). SAGE.
Donkoh, S. A., Azumah, S. B., & Awuni, J. A. (2019). Adoption of improved agricultural technologies among rice farmers in Ghana: A multivariate probit approach,
Ghana Journal of Development Studies, 16(1), 46-67.
Edwards, W. (2015). Estimating Farm Machinery Costs.
Retrieved from https://www.extension.iastate.edu/
agdm/crops/html/a3-29.html
Fischer, G., Wittich, S., Malima, G., Sikumba, G., Lukuyu, B.,Ngunga, D., & Rugalabam, J. (2018). Gender and
mechanization: Exploring the sustainability of
mechanized forage chopping in Tanzania. Journal of
Rural Studies, 64, 112-122.
Fischer, S., & Wollni, M. (2018). The role of farmers’
trust, risk and time preferences for contract choices:
Experimental evidence from the Ghanaian pineapple
sector. Food Policy, 81, 67-81.
Kamondetdacha, R., & Janhom, T. (2022). The dynamics of
university’s roles in the participatory guarantee system
(PGS) learning process: A case of the Nan agricultural
communities in Thailand. Kasetsart Journal of Social
Sciences, 43(4), 1059-1066.
King, N., & Brooks, J. M. (2017). Template analysis for
business and management students. London, UK:
SAGE Publications.
Li, H., Chen, L., & Zhang, Z. (2023). A study on the utilization rate and influencing factors of small agricultural machinery: Evidence from 10 hilly and mountainous provinces in China. Agriculture, 13(1), 51.
Li, W., Wei, X., Zhu, R., & Guo, K. (2018). Study on Factors
Affecting the Agricultural Mechanization Level in
China Based on Structural Equation Modeling.
Sustainability, 11, 51.
Mongkoltanatas, J. (1998). Current situation and trend of using and manufacturing of agricultural machinery in
Thailand. [Paper presentation]. In Seminar on current
situation and trend of using and manufacturing of
agricultural machinery in Southeast Asia. Bangkok,
Thailand. Nan Agriculture and Cooperatives Office. (2022). Five-year agricultural and cooperatives of Nan province, (2023-2027) (2023 revision) [in Thai]. Nan, Thailand: Nan Agriculture and Cooperatives Office, Ministry of Agriculture and Cooperatives.
Nan Provincial Office. (2021). Administrative information.
Retrieved from http://www.nan.go.th/about-article/6/
National Statistical Office. (2013). 2013 Agricultural Census.
Bangkok, Thailand: National Statistical Office,
Ministry of Information and Communication Technology.
Office of Agricultural Economics. (2023). Agricultural
production data. Bangkok, Thailand: Office of
Agricultural Economics, Ministry of Agriculture and
Cooperatives.
Paman, U., Bahri, S., Khairizal, A., & Wahyudy, H. A. (2018).
Farm machinery development and utilization system
policies for small-scale rice farming. International
Journal on Advanced Science Engineering Information
Technology, 3, 701-707.
Quan, X., & Doluschitz, R. (2021). Factors influencing the
adoption of agricultural machinery by Chinese maize
farmers. Agriculture, 11(11), 1090.
Rogers, E. M. (2003). Diffusion of innovations (5th Ed.). New York, NY: Free Press.
Rijk, A. G. (1986). The role of farm mechanization in
developing countries: Experiences in Asian countries.
In International Rice Research Institute (Ed.). Small
farm equipment for developing countries: Proceedings
of the International Conference on Small Farm
Equipment for Developing Countries: Past Experiences
and Future Priorities, 2-6 September 1986 (pp. 3-22).
Manila, Philippines: International Rice Research
Institute.
Rijk, A. G. (1989). Agricultural Mechanization Policy and
Strategy: The case of Thailand. Tokyo, Japan: Asian
Productivity Organization.
Sandberg, J., & Alvesson, M. (2020). Meanings of theory:
Clarifying theory through typification. Journal of
Management Studies, 58, 487–516.
Sherry, L. (1997). The boulder valley internet project: Lessons learned. Technological Horizons in Education Journal, 25(2), 68-73.
Tanwattana, P., Janhom, T., Thongpun, S., & Northao, W.
(2018). Participatory process for land use change: Haze
free agriculture, Nan province, Thailand. Environmental
Journal, 22(3), 22-30.
Takeshima, H. & Salau, S. (2010). Agricultural mechanization and the smallholder farmers in Nigeria. Washington, D.C., USA: International Food Policy Research Institute.
Thailand Development Research Institute (TDRI). (2020).
Farming 4.0 policy. Bangkok, Thailand: Thailand
Development Research Institute.
Thepent, V., & Chamsing, A. (2009). Agricultural mechanization development in Thailand. [Paper presentation]. In The Fifth Session of the Technical Committee of APCAEM. Los Banos, Philippines.
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