Understanding the agricultural support services for rice farmers using ordinal correlation and regression
Từ khóa
DOI:
https://doi.org/10.46223/HCMCOUJS.econ.en.16.7.4209.2026Tóm tắt
This paper assessed the rice farmers’ satisfaction with the agricultural support services in Carigara, Leyte, Philippines. A sample of 102 farmers was surveyed using a developed questionnaire. The data were analyzed using descriptive statistics, Spearman rho correlation, and ordered logit regression. Results depicted that, on average, farmers are “satisfied (Median = 2)” with agricultural support services provided for their rice production activities. This implies that the agricultural needs of farmers are being met to improve their production level and income. The correlation analysis revealed that farm advisory is associated with rice seed subsidy (rs = 0.201; p-value = 0.042) and crop insurance (rs = 0.282; p-value = 0.004). This means that farmers need guidance and advice to improve their farming practices, adoption of agricultural technologies, and financial protection. Regression analysis showed that educational attainment (p-value = 0.037) is a predictor of rice seed subsidy; tenurial status (p-value = 0.011) and income (p-value = 0.096) are predictors of fertilizer subsidy; farm size (p-value = 0.052), tenurial status (p-value = 0.092) and income (p-value = 0.006) are predictors of crop insurance; and farm size (p-value = 0.062) is a predictor of farm advisory. This implies that the farmers’ satisfaction with the agricultural support services is associated with their profile. Hence, farmers must be provided with valuable information, innovative technologies, training, and technical assistance. Conclusively, agricultural support must be maintained and strengthened to significantly aid the farmers in their production activities and improve business operations. It is recommended that the government should increase the recruitment and training of extension workers to improve the ability of extension workers to reach and help more small-scale rice farmers obtain sustainable farming.Lượt tải
Tài liệu tham khảo
Aditya, K. S., Khan, T., & Kishore, A. (2018). Adoption of crop insurance and impact: Insights from India. Agricultural Economics Research Review, 31(2), 163-174.
Aguda, M. I. D., Amestoso, N. T., & Casinillo, L. (2022). Service quality and farmer-beneficiaries’ satisfaction on the plant-now-pay-later program of Baybay City agriculture office. Review of Socio-Economic Research and Development Studies, 6(1), 1-18.
Allison, P. D. (2012). Logistic regression using SAS: Theory and application. SAS Institute. https://books.google.com.ph/books?hl=en&lr=&id=NF9kwF1lOF4C&oi=fnd&pg=PR3&dq=Logistic+regression+using+SAS:+Theory+and+application
Alzahrani, K., Ali, M., Azeem, M. I., & Alotaibi, B. A. (2023). Efficacy of public extension and advisory services for sustainable rice production. Agriculture, 13(5), Article 1062. https://doi.org/10.3390/agriculture13051062
Armstrong, N. E. (2024). Sweat equity: A contemporary analysis of land dispossession of black farmers in the Southern United States.Washington University Journal of Law and Policy, 73(1), Article 408.
Biswal, D., & Bahinipati, C. S. (2025). Farmers’ preference for crop-diversification in India: does crop-insurance play a part? Mitigation and Adaptation Strategies for Global Change, 30(3), Article 17.
Bulut, H., & Collins, K. J. (2014). Designing farm supplemental revenue coverage options on top of crop insurance coverage. Agricultural Finance Review, 74(3), 397-426. https://doi.org/10.1108/AFR-08-2013-0032
Casinillo, L. F. (2020). Econometric modelling on satisfaction in rice farming under Philippine rice tariffication law. Journal of Research and Multidisciplinary, 3(2), 326-336. https://doi.org/10.5281/jrm.v3i2.38
Casinillo, L. F. (2022). Econometric analysis on rice farmers’ income as influenced by extension agent’s role. Scientific Papers: Management, Economic Engineering in Agriculture & Rural Development, 22(4), 149-156.
Casinillo, L. F., Clava, C. A., & Bales, M. C. (2024). Modeling the adoption of aquaculture technologies among the members of 4-H club youth. Canadian Journal of Family and Youth, 16(1), 1-15. https://doi.org/10.29173/cjfy29978
Casinillo, L. F., & Guarte, J. (2018). Evaluating the effectiveness of teaching strategies: The case of a national vocational school in Hilongos, Leyte. Review of Socio-Economic Research and Development Studies, 2(1), 65-80.
Casinillo, L. F., & Seriño, M. N. (2022). Econometric evidence on happiness and its determinants among rice farmers in Leyte, Philippines. Independent Journal of Management & Production, 13(5), 1026-1044.
Dustova, M., & Ochilova, S. (2023). Foreign experience of financial support of agricultural enterprises. The Innovation Economy, 1(2), 79-86.
Falco, S. D., Adinolfi, F., Bozzola, M., & Capitanio, F. (2014). Crop insurance as a strategy for adapting to climate change. Journal of Agricultural Economics, 65(2), 485-504. https://doi.org/10.1111/1477-9552.12053
Fujimoto, T., & Suzuki, A. (2024). Do fertilizer and seed subsidies strengthen farmers’ market participation? Evidence from Tanzania’s subsidy program. Review of Development Economics, 28(1), 339-359. https://doi.org/10.1111/rode.13061
Ganpat, W. G., Webster, N., & Narine, L. (2014). Farmers’ satisfaction with extension services in the organization of Eastern Caribbean States. Journal of International Agricultural and Extension Education, 21(3), 49-62. https://doi.org/10.5191/jiaee.2014.21304
Gautam, S., Rahut, D. B., Guzman, D. B., Dangol, P., KC, D. B., Beshir, A., & Choudhary, D. (2024). Does subsidizing seed help farmers? Nepal’s rice seed subsidies. Development Policy Review, 42(5), e12802. https://doi.org/10.1111/dpr.12802
Goudappa, S. B., Reddy, B. S., & Chandrashekhar, S. M. (2012). Farmers perception and awareness about crop insurance in Karnataka. Indian Research Journal of Extension Education, 2(1), 218-222.
Ituriaga, J., Mariñas, K. A., & Saflor, C. S. (2024). Enhancing government services to rice farmers in the Philippines: A service quality - Sustainability-focused approach for long-term agricultural resilience. Sustainability, 16(18), Article 8108. https://doi.org/10.3390/su16188108
Kassem, H. S., Alotaibi, B. A., Muddassir, M., & Herab, A. (2021). Factors influencing farmers’ satisfaction with the quality of agricultural extension services. Evaluation and Program Planning, 85(1), Article 101912. https://doi.org/10.1016/j.evalprogplan.2021.101912
Kovalenko, V., Sheludko, S., Semenova, V., Kotsіurubenko, G., & Danylina, S. (2023). Credit and Investment support for the development of Ukraine’s agricultural and economy sector. Scientific Horizons, 5(26), 151-163. https://doi.org/10.48077/scihor5.2023.151
Li, X., Yu, G., Wen, L., & Liu, G. (2023). Research on the effect of agricultural science and technology service supply from the perspective of farmers’ differentiation. Innovation and Green Development, 2(3), Article 100055. https://doi.org/10.1016/j.igd.2023.100055
Liu, X., & Koirala, H. (2012). Ordinal regression analysis: Using generalized ordinal logistic regression models to estimate educational data. Journal of Modern Applied Statistical Methods, 11(1), 242-254. https://doi.org/10.22237/jmasm/1335846000
Mujawamariya, G., & Kalema, E. (2017). Limited usage of mechanical equipment in small-scale rice farming: A cause for concern. Journal of Agriculture and Environment for International Development (JAEID), 111(1), 5-21. https://doi.org/10.12895/jaeid.20171.493
Mwalyagile, N., Jeckoniah, J. N., & Salanga, R. J. (2024). Gender differences in rice production participation among smallholder farmers in small-scale irrigation schemes in mbarali district, Tanzania. Journal of Agriculture and Food Research, 18(1), Article 101390.https://doi.org/10.1016/j.jafr.2024.101390
Nakano, Y., Tsusaka, T. W., Aida, T., & Pede, V. O. (2018). Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania. World Development, 105(1), 336-351. https://doi.org/10.1016/j.worlddev.2017.12.013
Omar, M. M., Shitindi, M. J., Massawe, B. J., Fue, K. G., Pedersen, O., & Meliyo, J. L. (2022). Exploring farmers’ perception, knowledge, and management techniques of salt-affected soils to enhance rice production on small land holdings in Tanzania. Cogent Food & Agriculture, 8(1), Article 2140470. https://doi.org/10.1080/23311932.2022.2140470
Poon, K., & Weersink, A. (2014). Growing forward with agricultural policy: Strengths and weaknesses of Canada’s agricultural data sets. Canadian Journal of Agricultural Economics, 62(2), 191-218.
Rajeev, M., & Nagendran, P. (2023). Protecting land and livelihood under climate risks: What hinders crop insurance adoption? Land Use Policy, 131(1), Article 106711. https://doi.org/10.1016/j.landusepol.2023.106711
Red, F. S., Amestoso, N. T., & Casinillo, L. F. (2021). Effect of Farmer Field School (FFS) on the knowledge, attitude, practices and profitability of rice farmers. Philippine Social Science Journal, 4(4), 145-154. https://doi.org/10.52006/main.v4i4.420
Sahu, K. K., Bardhan, R., Chouhan, N. S., Dixit, D., Tripathi, S., Pandey, A., & Ahmed, R. (2023). A Comprehensive review on role of agricultural extension services in the sustainable development of global agriculture. International Journal of Environment and Climate Change, 13(10), 3514-3525. https://doi.org/10.9734/ijecc/2023/v13i103021
Saleh, A., Ochi, J. E., Sani, M. H., & Sulaiman, A. (2024). Constraints to effective participation in small scale dry season rice production by rural farmers of Gombe State Nigeria. Journal of Agripreneurship and Sustainable Development, 7(2), 68-77.
Shah, T., Muhammad, T., & Akbar, N. (2023). Assessing the implications of farm advisory services of model farm services center from a productivity perspective. Journal of Applied Economics and Business Studies, 7(2), 1-22. https://doi.org/10.34260/jaebs.721
Sujianto, S., Ariningsih, E., Ashari, A., Wulandari, S., Wahyudi, A., & Gunawan, E. (2024). Investigating the financial challenges and opportunities of organic rice farming: An empirical long-term analysis of smallholder farmers. Organic Agriculture, 14(2), 245-261.
Tang, C. S., Wang, Y., & Zhao, M. (2024). The impact of input and output farm subsidies on farmer welfare, income disparity, and consumer surplus. Management Science, 70(5), 3144-3161. https://doi.org/10.1287/mnsc.2023.4850
Umair, M., Ahmad, W., Hussain, B., Antohi, V. M., Fortea, C., & Zlati, M. L. (2024). The role of labor force, physical capital, and energy consumption in shaping agricultural and industrial output in Pakistan. Sustainability, 16(17), Article 7425. https://doi.org/10.3390/su16177425
Vua, V. H., Hob, H., & Lec, Q. H. (2019). Impact of farmer education on production efficiency: The case of rice farms in Vietnam. Management Science Letters, 9(1), 1909-1918.
Yuan, X., Li, S., Chen, J., Yu, H., Yang, T., Wang, C., Huang, S., Chen, H., & Ao, X. (2024). Impacts of global climate change on agricultural production: A comprehensive review. Agronomy, 14(7), Article 1360. https://doi.org/10.3390/agronomy14071360
Zakaria, A., Alhassan, S. I., Kuwornu, J. K., & Azumah, S. B. (2021). Beyond participation: The effect of fertilizer subsidy on the adoption of certified seeds among rice farmers in Northern Ghana. The European Journal of Development Research, 33(1), 684-709.
