Factors affecting awareness on good agriculture practices among citrus growers in Palpa, Nepal: Through binary logistic regression approach
https://doi.org/10.26832/24566632.2023.0804016
Abstract
Being an indigenous high-value commodity, with significant market demand in the mid-hills of Nepal, citrus requires the incorporation of sustainable techniques in orchard to increase fruit production. For farmers in Nepal, Good Agricultural Practices (GAP) is a novel concept. The majority of farmers are unaware of it, and those who are aware also have not fully embraced the techniques. Therefore, the study was conducted in summer 2022 to assess the factors that affect the awareness of GAP among the farmers at Palpa, Nepal. Rainadevi Chahara and Ribdikot rural municipality of Palpa district, Nepal was purposively selected, and altogether, 64 commercial citrus growers from the municipalities were taken by simple random sampling technique. The binary logistic regression model was used for analyzing the effect of different variables on the awareness of GAP among citrus growers. Different demographic and socioeconomic variables have been found associated for odds of being GAP aware. The findings revealed that, farmers’ who are GAP aware have an access to trainings and contact with extension agents, 4.164 and 10.293 times higher than those farmers who are GAP unaware respectively. Therefore, the study suggests that farmers knowledge on GAP can be further expanded through trainings and frequent contact with extension agents as they are the major factors affecting commercial citrus growers’ awareness to GAP in Palpa district, Nepal.
Keywords:
Certification, Commercial, Extension, GAP, TrainingDownloads
References
Bernier, Q., Meinzen-Dick, R., Kristjanson, P., Haglund, E., Kovarik, C., Bryan, E., Ringler, C., & Silvestri, S. (2015). Gender and Institutional Aspects of Climate-Smart Agricultural Practices: Evidence from Kenya. www.ccafs.cgiar.org
Cochran, W. G. (1977) Sampling Techniques. 3rd Edition, John Wiley & Sons, New York.
Dearing, J. W. (2021). Diffusion of Innovations. In The Oxford Handbook of Organizational Change and Innovation. https://doi.org/10.1093/oxfordhb/9780198845973.013.23
Dorji, K., Lakey, L., Chophel, S., Dorji, S. D., & Tamang, B. (2016). Adoption of improved citrus orchard management practices: A micro study from Drujegang growers, Dagana, Bhutan. Agriculture and Food Security, 5(1), 1–8, https://doi.org/10.1186/S40066-016-0050-Z/FIGURES/2
Hosmer, D. W., & Lemeshow, S. (1980). Goodness of fit tests for the multiple logistic regression model. Communications in Statistics - Theory and Methods, 9(10), 1043–1069, https://doi.org/10.1080/03610928008827941
James G, Witten D, Hastie T, T. R. (2017). An Introduction to Statistical Learning: With Applications in R |. In 1st ed. 2013, Corr. 7th printing 2017 edition. Springer, 2013.
Joshi, A., Kalauni, D., & Tiwari, U. (2019). Determinants of awareness of good agricultural practices (GAP) among banana growers in Chitwan, Nepal. Journal of Agriculture and Food Research, 1, 100010, https://doi.org/10.1016/J.JAFR.2019.100010
Kharel, M., Dahal, B. M., & Raut, N. (2022). Good agriculture practices for safe food and sustainable agriculture in Nepal: A review. Journal of Agriculture and Food Research, 10, 100447, https://doi.org/10.1016/J.JAFR.2022.100447
Kumar, A., Takeshima, H., Thapa, G., Adhikari, N., Saroj, S., Karkee, M., & Joshi, P. K. (2020). Adoption and diffusion of improved technologies and production practices in agriculture: Insights from a donor-led intervention in Nepal. Land Use Policy, 95, 104621. https://doi.org/10.1016/J.LANDUSEPOL.2020.104621
Kunwar, B., Dhakal, D., & Panta, H. K. (2018). Determinants of smallholders’ adoption of off-season vegetable production technology in Okhaldhunga District of Nepal. Journal of the Institute of Agriculture and Animal Science, 228, 221–228,https://doi.org/10.3126/jiaas.v33i0.20708
Leong, W. H., Teh, S. Y., Hossain, M. M., Nadarajaw, T., Zabidi-Hussin, Z., Chin, S. Y., Lai, K. S., & Lim, S. H. E. (2020). Application, monitoring and adverse effects in pesticide use: The importance of reinforcement of Good Agricultural
Practices (GAPs). Journal of Environmental Management, 260, 109987. https://doi.org/10.1016/J.JENVMAN.2019.109987
Liguori, J., Trübswasser, U., Pradeilles, R., Le Port, A., Landais, E., Talsma, E. F., Lundy, M., Béné, C., Bricas, N., Laar, A., Amiot, M. J., Brouwer, I. D., & Holdsworth, M. (2022). How do food safety concerns affect consumer behaviors and diets in low- and middle-income countries? A systematic review. Global Food Security, 32, 100606. https://doi.org/10.1016/J.GFS.2021.100606
MOAD. (2021). Statistical Information On Nepalese Agriculture (2020/21).
Ministry of Agriculture and Livestock Development Government of Nepal, Kathmandu, Nepal, 73, 1–26.
MOF. (2020). Ministry of Finance.Government of Nepal.
Nagelkerke, N. J. D. (1991). A note on a general definition of the coefficient of determination. Biometrika, 78(3), 691–692, https://doi.org/10.1093/BIOMET/78.3.691
Nasser, H. (2020). Binomial logistic regression using SPSS. University of Miami, 30. https://statistics.laerd.com/spss-tutorials/binomial-logistic-regression-using-spss-statistics.php#procedure
Pandey, G., Basnet, S., Pant, B., Bhattarai, K., Gyawali, B., & Tiwari, A. (2017). An Analysis of Vegetables and Fruits Production Scenario in Nepal. Asian Research Journal of Agriculture, 6(3), 1–10, https://doi.org/10.9734/ARJA/2017/36442
Rokaya, P. R., Baral, D. R., Gautam, D. M., Shrestha, A. K., & Paudyal, K. P. (2019). Effects of foliar application of urea and micronutrients on yield and fruit quality of Mandarin (Citrus reticulata Blanco). Agriculture and Forestry University, 3, 63–68.
Sedhai, S., Panth, B. P., Dulal, P. R., Adhikari, G., & Dhungana, S. (2022). Good agricultural practices in mandarin (Citrus reticulata Blanco); Perception and factors affecting awareness among farmers in Gulmi, Nepal. Archives of Agriculture and Environmental Science, 7(2), 142–149, https://doi.org/10.26832/24566632.2022.070201
Suvedi, M., Ghimire, R., & Kaplowitz, M. (2017). Farmers’ participation in extension programs and technology adoption in rural Nepal: a logistic regression analysis. The Journal of Agricultural Education and Extension, 23(4), 351–371. https://doi.org/10.1080/1389224X.2017.1323653
Tega, M., & Bojago, E. (2023). Farmer’s Perceptions of Agroforestry Practices, Contributions to Rural Household Farm Income, and Their Determinants in Sodo Zuria District, Southern Ethiopia. International Journal of Forestry
Research, 2023. https://doi.org/10.1155/2023/5439171
Vatcheva, K. P., Lee, M., Mccormick, J. B., & Rahbar, M. H. (2016). Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies HHS Public Access. Epidemiology (Sunnyvale), 6(2). https://doi.org/10.4172/2161-1165.1000227
Vejlgaard, H., & Vejlgaard, H. (2018). Process Knowledge in the Innovation-Decision Period. Digital Communication Management. https://doi.org/10.5772/INTECHOPEN.73307
Wang, H., Ma, B., & Bai, R. (2019). How Does Green Product Knowledge Effectively Promote Green Purchase Intention? Sustainability, 11(4), 1193. https://doi.org/10.3390/SU11041193
Zach. (2019). What is a Good R-squared Value? - Statology. 2019. https://www.statology.org/good-r-squared-value/
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