Determinants of creative agriculture among farmers in main urban areas of northern Thailand
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Abstract
The agricultural sector is a cornerstone of the northern Thai economy, contributing substantially to income and employment, but it is beset by various challenges. Creative agriculture is an approach farming whereby agriculturists must rely on initiative, application of knowledge and technology, social networks and valuing effective farming. This article aims to explore determinants of creative agriculture amongst farmers in the main urban areas of northern Thailand. A set of questionnaires was used for data collection from 400 farmers obtained by systematic sampling. Data were analyzed by using descriptives statistics and multiple regression. Results of the study revealed that most of the respondents were male, 44 years old on average, married and elementary school graduates. They lived in extended families and engaged in various agricultural occupations in their own area. They had not less than 5 years of experience in farming and were group members established in their respective communities. Some of the respondents were extended knowledge about farming. Determinants of creative agriculture of the respondents included age, educational attainment, agricultural group/ organization membership, debt burden, occasional participation in social activities, self-adaptation/appropriate implementation method, and production management. All variables could explain variance of the determinants for 68.3 percent (R2 = 0683). Thus, the provincial government agencies responsible for agricultural extension or public sector should put the importance the extension of knowledge about agricultural production management to farmers. This also includes production technology processing and standard agricultural products which are safe for consumers to address the challenges faced by farmers and provide them with viable solutions.
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References
Beck, U. (1992). Risk society: Towards a new modernity. Sage.
Bunsin, O. (2014). Guidelines to create production oriented enterprise for community enterprises in the industrial sector. WMS Journal of Management Walailak University, 3(3), 22–31. https://so06.tci-thaijo.org/index.php/wms/article/view/52787 [in Thai]
Chenphuengpawn J., Chantarat, S., Attavanich, W., & Sa-ngimnet, B. (2019, June 19). The dynamics of Thai agriculture and its implications for household returns and risks: Why do most Thai farmers still choose high-risk, low-return agriculture? Puey Ungphakorn Institute for Economic Research. https://www.pier.or.th/abridged/2019/14/ [in Thai]
Chiang Mai Agricultural Extension Office. (2020, September 23). Number of farm households and number of agricultural workers in Chiang Mai province. Basic agricultural information, Chiang Mai Province, 2019/20 (all year). https://chiangmai.doae.go.th/province/?page_id=2042 [in Thai]
Chomtohsuwan, T. (2016). The study of relationship between return on human capital and education: Thailand case study. Rangsit University. [in Thai]
Cronbach, L. J., & Shavelson, R. J. (2004). My current thoughts on coefficient alpha and successor procedures. Educational and Psychological Measurement, 64(3), 391–418. https://doi.org/10.1177/0013164404266386
Freifeld, L. (2014, July 7). Bridging the skills gap. Training Magazine. https://trainingmag.com/bridging-the-skills-gap/
Guo, G., Wen, Q., & Zhu, J. (2015). The impact of aging agricultural labor population on farmland output: From the perspective of farmer preferences. Mathematical Problems in Engineering, 2015(1), Article 730618. http://dx.doi.org/10.1155/2015/730618
Hair, J. F., Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Pearson Education.
Hinviman, S. (2010). Communication and risk society. Journal of Management Science Chiangrai Rajabhat University, 5(1), 27–52. https://so03.tci-thaijo.org/index.php/jmscrru/article/view/127399 [in Thai]
Hong, M., Tian, M., & Wang, J. (2023). The impact of digital economy on green development of agriculture and its spatial spillover effect. China Agricultural Economic Review, 15(4), 708–726. https://doi.org/10.1108/CAER-01-2023-0004
Jeerat, P., Kruekum, P., Sakkatat, P., & Fongmul, S. (2019). Factors affecting farming at the household level in accordance with the philosophy of sufficiency economy of farmers in U-mong municipality, Meuang district, Lamphun province. Journal of Agricultural Research and Extension, 36(1), 55–67. https://li01.tci-thaijo.org/index.php/MJUJN/article/view/191333 [in Thai]
Kaewchuer, S., Phungniran, B., & Kortana, T. (2019). Factors for success for online business entrepreneurs in the digital age. The Journal of Industrial Technology, 15(2), 33–44. https://ph01.tci-thaijo.org/index.php/jit_journal/article/view/213962 [in Thai]
Kahan, D. (2012). Entrepreneurship in farming. Food and Agriculture Organization of the United Nations. https://www.fao.org/4/i3231e/i3231e.pdf
Kavi, R. K., Bugyei, K. A., Obeng-Koranteng, G., & Folitse, B. Y. (2018). Assessing sources of information for urban mushroom growers in Accra, Ghana. Journal of Agricultural and Food Information, 19(2), 176–191. https://doi.org/10.1080/10496505.2017.1361328
Khamraeva, S. N., Samiyeva, G. T., & Ochilova, N. A. (2024). Prospects of innovative development of the agricultural sector. Naturalita Campano, 28(1), 1610–1619. https://www.museonaturalistico.it/index.php/journal/article/view/305
Kungwon, S. (2019). A structural equation model of factors affecting decisions making for organic rice production in Chiang Mai. Journal of Agricultural Research and Extension, 36(3), 34–43. https://li01.tci-thaijo.org/index.php/MJUJN/article/view/232885 [in Thai]
Maneetorn, P. (2023). Problems and obstacles of local farmer groups in Chiang Mai province in product development to expand commercial and public benefits under the Asean economic community. Panyapiwat Journal, 15(1), 61–75. https://so05.tci-thaijo.org/index.php/pimjournal/article/view/254280 [in Thai]
Meedaycha, N., Kruekum, P., Sakkatat, P., & Kanokhong, K. (2020). Perception of agricultural development under Thailand's 4.0 policy of farmers in Sobperng sub–district, Maetaeng district, Chiang Mai. Journal of Agricultural Research and Extension, 37(3), 60–70. https://li01.tci-thaijo.org/index.php/MJUJN/article/view/211824 [in Thai]
Meekaew, N., & Chamaratana, T. (2024). Cultivating entrepreneurial skills in organic farming with design thinking and community-based education. International Journal of Learning, Teaching and Educational Research, 23(5), 139–157. https://doi.org/10.26803/ijlter.23.5.8
Msoffe, G., & Ngulube, P. (2016). Farmers' access to poultry management information in selected rural areas of Tanzania. Library and Information Science Research, 38(3), 265–271. https://doi.org/10.1016/j.lisr.2016.08.004
Mungkhun, M., Poungsuk, P., Intorrathed, S., & Sittijinda, P. (2021). A creative agricultural resource management to support tourism in Phuket province. International Journal of Agricultural Technology, 17(2), 557–570. https://www.thaiscience.info/Journals/Article/IJAT/10994543.pdf
Office of the National Economic and Social Development Council. (2019). The Thai economy in the first quarter of 2023 and the outlook for 2023. Macroeconomic Strategy and Planning Division, National Economic and Social Development Board. [in Thai]
Omthuan, K., Omthuan, R., & Plangmal, C. (2023). Farmer’s way to change based on creative economy: Case study of Lohdon Nonna Cafe in Nadoon district, Mahasarakham province. Journal of Humanities and Social Sciences Mahasarakham University, 42(2), 161–169. https://hujmsu.msu.ac.th/pdf.php?id=1684135224 [in Thai]
Penpong, M. S. (2022). Human capital factors affecting the income and labor productivity of rubber farmers: Case study of Surat Thani province. Journal of Agricultural Research and Extension, 39(2), 130–140. https://li01.tci-thaijo.org/index.php/MJUJN/article/view/246639 [in Thai]
Pholphirul, P. (2013). Creative economy and development issues in Thailand. NIDA Economic Review, 7(1), 1–69. https://so06.tci-thaijo.org/index.php/NER/article/view/22675 [in Thai]
Pink, D. H. (2009). Drive: The surprising truth about what motivates us. Riverhead Books.
Sakkatat, P., & Kruekum, P. (2017). Factors affecting organic or chemical agricultural practice of farmers in Chiang Mai. Journal of Agricultural Research and Extension, 34(2), 66–77. https://li01.tci-thaijo.org/index.php/MJUJN/issue/view/14576 [in Thai]
Sayamol, P., Pechniramon, C., Tongintarad, W., & Klomnara Kaewruksa, C. (2023). Creative marketing of agricultural products in Bang Hin subdistrict, Kapur district, Ranong province. Inthaninthaksin Journal, 18(3), 33–45. https://so02.tci-thaijo.org/index.php/HUSOTSU/article/view/267329 [in Thai]
Sikkhabandit, S. (2017). Thailand's 4.0 policy: Opportunities, threats and benefits of Thailand in the ASEAN region. https://old.parliament.go.th/ewtadmin/ewt/parliament_parcy/ewt_dl_link.php?nid=%0946816&filename=foreign2_index [in Thai]
Simonton, D. K. (2003). Creative cultures, nations, and civilizations: Strategies and results. In P. B. Paulus, & B. A. Nijstad (Eds.), Group creativity: Innovation through collaboration (pp. 304–325). Oxford University Press.
Sinha, S. (2021). Thailand: Agriculture outlook and response during Covid 19. Journal of Food Health and Bioenvironmental Science, 14(3), 60–70. https://li01.tci-thaijo.org/index.php/sdust/article/view/260607
Soonthornvipat, T., Sansawat, B., Somyana, W., Chanrattanayothin, P., & Sinthuya, P. (2023). Creative research and agricultural personnel potential development of the Chiang Mai community to ASEAN community. Journal of Graduate School, Pitchayatat, Ubon Ratchathani Rajabhat University (Humanities and Social Sciences), 18(3), 73–85. https://so02.tci-thaijo.org/index.php/Pitchayatat/article/view/263431 [in Thai]
Strategic and Information Group for Provincial Development, Chiang Mai Provincial Office. (2022, August 24). Chiang Mai provincial development plan 2023–2027. https://www.chiangmai.go.th/managing/public/D2/2D24Aug2022155450.pdf [in Thai]
Sukprasert, P. (2015). Local wisdom and agricultural extension. Department of Agricultural Extension and Communication, Faculty of Agriculture, Kasetsart University. [in Thai]
Sukglun, A., Suttapong, K., & Pianroj, N. (2018). Strategies for creating competitive advantage for smart farming enterprise. Executive Journal, 38(1), 91–100. https://so01.tci-thaijo.org/index.php/executivejournal/article/view/111945 [in Thai]
Sullivan, P. (2017). Agri-entrepreneurs and their characteristics. In C. Chan, B. Sipes., & T. S. Lee (Eds.), Enabling agri-entrepreneurship and innovation: Empirical evidence and solutions for conflict regions and transitioning economies (pp. 1–17). CABI.
Sumnaphan, P., Jittimongkol, S., & Dolsophon, K. (2023). The impact of dynamic capabilities on business competitive advantage of smart farmer in Mahasarakham province. Journal of Accountancy and Management, 15(2), 130–146. https://so02.tci-thaijo.org/index.php/mbs/article/view/252750 [in Thai]
Sura, K. (2013). Development of community tourism management potential in Chiang Mai Province under the academic cooperation between Chiang Mai Rajabhat University and local government, Chiang Mai Province, Year 2. Chiang Mai Rajabhat University. [in Thai]
Suriyachaipun, K., Sakkatat, P., Fongmul, S., & Sangsupho, S. (2023). Factors affecting the organic agriculture of highland farmers in Chiang Mai province. Journal of Agricultural Production, 5(1), 13–26. https://li01.tci-thaijo.org/index.php/japmju/article/view/253153 [in Thai]
Thongsrikate, I., & Kanokhong, K. (2024). The model of creative agriculture among farmers in Chiang Mai City. AgBioForum, 26(3), 128–137. https://agbioforum.org/menuscript/index.php/agb/article/view/410
United Nations Thailand. (2020, December 2). Thai agricultural sector: From problems to solutions. https://thailand.un.org/en/103307-thai-agricultural-sector-problems-solutions
Wirakul, W. (2021). Factors affecting the competitiveness of large rice plots, Khon Kaen province. Neuarj Neu Academic and Research Journal, 11(2), 197–211. https://so04.tci-thaijo.org/index.php/neuarj/article/view/249487 [in Thai]
Yamane, T. (1973). Statistics: An introductory analysis (3rd ed.). Harper and Row.
Yanpiboon, T., Popaitoon, S., & Songsrirote, N. (2020). Knowledge absorptive capacity and innovation through salient issues of agricultural new firms. Chulalongkorn Business Review, 42(2), 54–72. https://so01.tci-thaijo.org/index.php/CBSReview/article/view/242102 [in Thai]
Zscheischler, J., Brunsch, R., Rogga, S., & Scholz, R. W. (2022). Perceived risks and vulnerabilities of employing digitalization and digital data in agriculture – Socially robust orientations from a transdisciplinary process. Journal of Cleaner Production, 358, Article 132034. https://doi.org/10.1016/j.jclepro.2022.132034
