Agricultural Education Administration Research

Document Type : Research Paper

Authors

1 Assistant Professor Mazandaran Agricultural and Natural Resources Research and Education Center- Agricultural research Education and Extension organization, Sari, Iran

2 Assistant Professor Agricultural Research and Education Ins titue, Agricultural research Education and Extension organization, Tehran, Iran

10.22092/jaear.2024.366701.2028

Abstract

The purpose of this research was to evaluate of extension comprehensive production model sites in the production of healthy products. The research was quantitative, applied and non-experimental. The population was farmers active in the main production sites of healthy products in the three years ending in 1401. A twos tage sampling method was used. The sample size was determined based on Cochran's formula (n=115). S tratified random sampling method with proportional assignment was used. The main tool for data collection was a researcher-made ques tionnaire that was developed based on the CIPP model of S taffel Beam and Goba. The validity and reliability of the ques tionnaire was obtained. As a result, the ordinal theta value for the research variables was 0.86 (Ï´=0.86). SPSS26 software were used for data analysis. The results showed that mos t of the respondents evaluated the success rate of model sites in producing healthy products as good. Among the variables of the CIPP model, the success rate of the contextual variable was higher and ranked firs t, and the input, process, and product variables were ranked next. The results of the correlation tes t of independent variables showed that; People's work experience, level of education and the number of training courses completed by people had a positive and significant relationship with the variables of the CIPP model.

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Akinnagbe, OM., and Ajayi, AR. (2010). Challenges of Farmer-led Extension Approaches in Nigeria. Journal of Agricultural Extension and Rural Development, 4 (3): 63-68. Altrawneh, M. (2016). Determine the barriers of organic agriculture implementation in Jordan. Bulgarian. Journal of Agricultural Science, 22(1), 10-15. Asadollahpour, A., Omidi Najafabadi, M. Hossein, S.J. (2016). Modeling Behavior Pattern of Organic Agriculture in Iranian Rice producers, Paddy and Water Environment, 14, 221–229. DOI: https://doi-org.libproxy.viko.lt/10.1007/s10333-015-0492-0. Azam, M., and Shaheen, M. (2019). Decisional factors driving farmers to adopt organic farming India: Acrosssectional study. International Journal of Social Economics, 46(4), 562-580. FAO. (2021). FAO Statistical Yearbook 2021, World Food and Agriculture. Rome: Food and Agriculture Organization of the United Nations. FAO. (2013). FAO Statistical Yearbook 2013, World Food and Agriculture. Rome: Food and Agriculture Organization of the United Nations. Issa, I., and Hamm, U. (2017). Adoption of organic farming as an opportunity for Syrian farmers of fresh fruit and vegetables: an application of the theory of planned behavior and structural equation modeling. Journal of Sustainability, 9(11), 1-22. Khaledi, M. et al. (2007). Assessing the Barriers to Conversion to Organic Farming: An Institutional Analysis. Department of Agricultural Economics University of Saskatchewan. Lancini, B. J. (1987). Strengthening the research /extension linkage through appropriate technology: A case study from the Southern Philippines, Journal of Agricultural Administration and Extension, 24, 61-67. Norton, R. (2004), Agricultural Development Policy: Concepts and Experiences. England: John Wiley and Sons. Partap, T. (2010). Emerging Organic Farming Sector in Asia: A Synthesis of Challenges and Opportunities. Published by the Asian Productivity Organization. 8-21. Available on https://www.apo-tokyo.org/00e-books/. Rathore, S., Intodia, S. L., & Singh, R. P. (2016). Analysis of Research–Extension–Farmer Linkage in the Arid Zone Of India. Indian Research Journal of Extension Education, 8(3), 69-72. Rivera, W. M., & Sulaiman, V. R. (2009). Extension: Object of Reform, Engine for Innovation. Outlook on agriculture, 38(3): 267-273. Rivera, K. and Mwandemere, H. (2005), An Analytical and Comparative Review of Country Studies on Knowledge and Information Systems for Rural Development. Rome: FAO. Salehi, M., Abbasi, E., Bijani, M. and Shahpasand, M. (2021). Evaluation of agricultural extension model sites approach in Iran. Journal of the Saudi Society of Agricultural Sciences 20 (2021), 506–518. Shabazi, a. (1992). New approach in research, fundamental linkage of extension – research activities in Iran Agriculture development process. A proceeding of 6th conference on agricultural extension, Ferdousi University of Mashhad.. 143-179. Shahpasand, M.R. (2020). Model Sites: A New Direction towards Cooperation among Extension Agents, Field Experts, Researchers, and Farmers, J. Agr. Sci. Tech, 22(1): 81-94. Shams, A., and Hooshmandan, Z. (2017). Factors affecting wheat farmer’s attitudes toward organic farming.Polish Journal of Environmental Studies, 26(5), 2207-2214. Swanson, B. & Rajalahti, R. (2010). Strengthening Agricultural Extension and Advisory Systems: Procedures for Assessing, Transforming, and Evaluating Extension Systems”. Agriculture and Rural Development Discussion Paper 44, the International Bank for Reconstruction and Development/the World Bank, Washington. Verschoor, A., Morrissey, O., Mosley, P., & Gomanee, K. (2005). Aid, Government Expenditure, and Aggregate Welfare. World Development, 33(3), 355-370.