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Examining the Influence of Rice Farmers' Characteristics on Extension Service Sources: Insights from Northwestern Ethiopia

Published in Advances (Volume 5, Issue 2)
Received: 9 April 2024     Accepted: 30 April 2024     Published: 24 May 2024
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Abstract

This study aimed to investigate the relationship between farmers' characteristics and their access to agricultural extension services from multiple sources. The researchers collected cross-sectional data from a sample of 384 rice-farming households and analyzed the data using descriptive statistics and a binary Probit regression model. The result showed that age of the household, rice farming experience, plot number, cultivated rice land, dependency ratio, and crop diversification are drivers of receiving agricultural extension service. The study also explored the factors that drive farmers' choice of service providers for agricultural extension at the household level. The findings indicate that factors such as sex, education level, household size, dependency ratio, oxen number, crop income, and cultivated rice land are the main drivers of farmers' selection of service providers. This implies that farmers' socio-economic characteristics influence their choice of extension service providers. Given the current emphasis on demand-driven agricultural extension services, the findings of this study are particularly relevant. It is suggested that for better effectiveness of agricultural extension, it would be practical for providers of extension services to target a certain type of farmer that they can best serve.

Published in Advances (Volume 5, Issue 2)
DOI 10.11648/j.advances.20240502.11
Page(s) 28-40
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Extension Service Providers, Farmers Characteristics, Probit Regression Rice

References
[1] UN. 2015. Transforming Our World: The 2030 Agenda for Sustainable Development. New York: United Nations.
[2] Gerba Leta, Girma Kelboro, Kristof Van Assche, Till Stellmacher and Anna-Katharina Hornidge, 2018. Rhetorics and realities of participation: the Ethiopian agricultural extension system and its participatory turns, Critical Policy Studies.
[3] Birner, R., Davis, K., Pender, J., Nkonya, E., Anandajayasekeram, P., Ekboir, J., Mbabu, A. Spielman, D., Horna, D., Benin, S., Cohen, M., 2006. From best practice to best fit: A framework for designing and analyzing pluralistic agricultural advisory services Worldwide. Discussion paper. IFPRI, Washington, DC, USA.
[4] Norton G., Alwang J. and Masters W., 2014. Economics of Agricultural Development: World Food Systems and Resource Use. 3rd edition. London: Routledge.
[5] Micheal D., Akite I., Atube F, Wamala S. and Ongeng D., 2022. Examining the relationship between farmers’ characteristics and access to agricultural extension: Empirical evidence from northern Uganda. The Journal of Agricultural Education and Extension, 29 (4), pp. 439-461.
[6] Chege M., Lemba K. and Semenye P., 2018. Influence of Agricultural Extension on Household Food Security Status among the Smallholder Farmers. Advances in research.
[7] Ahmed K., Rahman Z., Farouque G., Sarker A. and Sojib R., 2022. Role of Government and Non-Government Organizations in Boosting Agricultural Production towards Meeting Household Nutrition as Perceived by Rural Women. Journal of Extension Education. 34(1), pp. 6740-6749.
[8] Bitzer V., Wongtschowski M., Hani M., Blum M. and Flink I., 2016. Towards inclusive Pluralistic Service Systems Insights for innovative thinking. Food and Agriculture Organization of the United Nations and Royal Tropical Institute, Rome.
[9] Bhakta S., Chaicharn W., Anan P., Patcharee S., 2023. Impact of agricultural extension services on cereal production among rural farmers in Bhutan. Journal of Agricultural Extension 27(1), pp. 13-26.
[10] MoA (Ministry of Agriculture), 2017. Agricultural extension strategy of Ethiopia. Addis Ababa, Ethiopia.
[11] Bitzer M., Wongtschowski M., Hani M., and Flink I., 2016. Towards Inclusive Pluralistic Service Systems: Insights for Innovative Thinking. Rome: Food and Agriculture Organization of the United Nations and Royal Tropical Institute.
[12] Franzel, S., Lowicki-Zucca J., Miiro, and Uwitonze N., 2020. “Demand-driven Extension and Advisory Services – Catalyzing Opportunities for Youth in Agriculture.” Rural 21 2 (20): pp. 23–25.
[13] Roling N., 1988. Extension science: information systems in agricultural development, 218 Wye studies in agricultural and rural development. Cambridge University Press, Cambridge England, New York.
[14] Christoplos I., 2010. Mobilizing the potential of rural and agricultural extension. Food and Agriculture Organization of the United Nations (FAO) and Global Forum for Rural Extension services. FAO, Rome.
[15] Kaleb K., 2016. Analysis Of The Characteristics Of Model Farmers In The Ethiopian Agricultural Extension System. International Journal of Agricultural Extension. pp. 1-8.
[16] Swanson BE, Bentz RP and Sofranko AJ., 1997. Improving agricultural extension system.
[17] Moris J. 1991. Extension alternatives in tropical Africa. Overseas Development Institute, London, UK.
[18] Purcell DL and Anderson JR. 1997. Agricultural research and extension: Achievements and problems in national systems. World Bank Operations Evaluation Study, World Bank, Washington, DC, USA.
[19] Qamar, M. K., 2005. Modernizing national agricultural extension systems: A practical guide for policy makers of developing countries. FAO, Rome, Italy.
[20] Eicher CK., 2007. Agricultural extension in Africa and Asia. Literature review prepared for the World AgInfo Project. Cornell University, Ithaca, New York, USA.
[21] Tsion T & Steven H, 2017. Different Agricultural Extension Systems Implemented in Africa: A Review, Journal of Human Ecology, 55 (3), pp. 183-195.
[22] Gerba Leta, Girma K, Till S and Anna H., 2017. The agricultural extension system in Ethiopia: operational setup, challenges and opportunities. ZEF Working Paper Series, No. 158, University of Bonn, Center for Development Research (ZEF), Bonn.
[23] Leeuwis, C., Ban, A. W. van den, 2003. Communication for rural innovation: rethinking agricultural extension, 3rd ed. ed. Blackwell Science; Iowa State Press, for CTA, Oxford : Ames, Iowa.
[24] Swanson, B. E., Samy, M. M., 2002. Developing an extension partnership among public, private and Nongovernmental organizations. 9(1), Springer.
[25] World bank, 1997. Public and Private Agricultural Extension: Partners or Rivals? The International Bank for Reconstruction and Development. 12(2). pp. 203-224.
[26] Keldman, AM., 1980. Welfare Economics and Social Choice Theory. Boston: Kluwer Nijhoff Publishing.
[27] Catherine R., Guush B., Fanaye T., and Alemayehu S., 2012. Gender differences in access to extension services and agricultural productivity. Strategic support program and International Food Policy Research Institute (IFPRI), Ethiopian Development Research Institute (EDRI), working paper, Ethiopia.
[28] Wilson, M., 1991. Reducing the Costs of Public Extension Services: Initiatives in Latin America. In Rivera and Gustafson.
[29] Swanson and Samy, 2002. Developing an Extension Partnership among Public, Private, and Nongovernmental Organizations. 9(1). University of Illinois at Urbana-Champaign.
[30] Van Assche K., and Hornidge A. 2015. Rural Development: Knowledge and Expertise in Governance. The Netherlands: Wageningen Academic Publishers.
[31] Ayele, K. 2016. Analysis of the characteristics of model farmers in the Ethiopian agricultural extension system. International Journal of Agricultural Extension.
[32] Mamusha L, Solomon G, Abdi E, Annet M and Barbara W., 2020. Gender integration in the Ethiopian agricultural extension system: A literature review. Nairobi, Kenya: ILRI.
[33] MoA, 2022. National Rice Flagship Program NRFP 2023-2027. Addis Ababa, Ethiopia. The Federal Democratic Government of Ethiopia.
[34] EEA. 2008. “Report on the Ethiopian Economy. Volume VI 2006/07.” Addis Ababa: Ethiopian Economic Association. Edition. Harper and Row. New York, 919.
[35] Selam Hailemichael & Ruth Haug, 2020. The use and abuse of the ‘model farmer’ approach in agricultural extension in Ethiopia, The Journal of Agricultural Education and Extension, 26:5, pp. 465-484.
[36] Gideon D., Dennis S. and Robert A., 2018. Agricultural extension and its effects on farm productivity and income: insight from Northern Ghana. Agriculture and food security. 7(74). pp. 1-10.
[37] Togba R., Cecilia V. and Patrick I., 2022. Effect of farmer socio-economic characteristics on extension services demand and its intensity of use in post-conflict Liberia. Heliyon. pp. 1-7.
[38] Akorédé M., Wouter V., Rodrigue I, Achille H., Romain L., Patrick V., 2022. Identification of socio-economic characteristics and farmers’ practices affecting rice. Journal of Agriculture and Rural Development in the Tropics and Subtropics. 123(2). pp. 257-271.
[39] Lahai, B. A. N., Goldey, P. & Jones, G. E., 1999. The Gender of the Extension Agent and Farmers’ Access to and Participation in Agricultural Extension in Nigeria. Journal of Agricultural Education and Extension, 6(4), pp. 223233.
[40] Saima, S., Asif J. & Muhammad, L., 2005. Constraints Faced by Rural Women in Approaching Agricultural Extension Services: A Case Study of District Faisalabad. Indus Journal of Biological Sciences, 2(2), pp. 483488.
[41] Yamane T., 1967. Statistics. An Introductory Analysis. Second edition. Harper and Row. New York, 919.
[42] KidaneMariam Gebregziabher, 2015. The impact of agricultural extension on households’ welfare in Ethiopia. International Journal of Social Economics. 42(8). pp. 733-748.
[43] Kassem H., Alhafi B., Muddassir M. and Herab A., 2021. Factors influencing farmers’ satisfaction with the quality of agricultural extension services. Elsevier. 1-10.
[44] Kalinda T., Shute J. and Filson G., 2008. Access to agricultural extension, credit and markets among small-scale farmers in southern Zambia. Development Southern Africa, 15 (4), pp. 589-608.
[45] Dowsing M. and Cardey S., 2020. Smallholder Farmers’ Perspectives on Advisory Extension Services: A Case Study of the Gamo Communities of Southern Ethiopia. Social sciences. 9(157), pp. 1-17.
[46] Rogers E., 1995. Diffusion of Innovation. New York: Macmillan Publishing.
[47] Chayot, 2022. The Ethiopian agricultural extension services: A mixed perspective, review paper. Cogent food and agriculture. pp. 1-11.
[48] Dereje D., Degefa T. and Abrham S., 2022. A double hurdle estimation of crop diversification decisions by smallholder wheat farmers in Sinana District, Bale Zone, Ethiopia. CABI Agriculture and Bioscience. 3(25). 1-14.
[49] Rehima M, Belay M, Dawit A, Shahidur R., 2013. Factors affecting farmers’ crops diversification: evidence from SNNPR, Ethiopia. International Journal of Agricultural Science, 3(6): pp. 558–65.
[50] Sisay D., 2016. Agricultural technology adoption, crop diversification and efficiency of maize-dominated smallholder farming system in Jimma Zone, Southwestern Ethiopia. Electronic Thesis or Dissertation. Haramaya University, Ethiopia.
[51] Asante BO, Rene AV, George B, Lan P., 2017. Determinants of farm diversification in integrated crop-livestock farming systems in Ghana. Renew Agric Food Syst. 33(2): pp. 1-131.
[52] Emmanuel G., 2016. Factors influencing smallholder crop diversification: a case study of Manicaland and Masvingo Provinces in Zimbabwe. International Journal of Rural Development. 3(2): 2373–9851.
[53] Gloria, 2020, women’s participation in agricultural extension services. Thesis. University of Rwanda.
[54] Sumo V., Ritho C., Irungu P., 2022. Effect of farmer socio-economic characteristics on extension services demand and its intensity of use in post-conflict Liberia. Elsevier. pp. 1-7.
[55] Danso A., Sedem E., Aidoo R., 2018. Agricultural extension and its effects on farm productivity and income: insight from Northern Ghana. Agriculture and food security. 7(74). pp. 1-10.
Cite This Article
  • APA Style

    Gashu, A. T., Beyene, A. M. (2024). Examining the Influence of Rice Farmers' Characteristics on Extension Service Sources: Insights from Northwestern Ethiopia. Advances, 5(2), 28-40. https://doi.org/10.11648/j.advances.20240502.11

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    ACS Style

    Gashu, A. T.; Beyene, A. M. Examining the Influence of Rice Farmers' Characteristics on Extension Service Sources: Insights from Northwestern Ethiopia. Advances. 2024, 5(2), 28-40. doi: 10.11648/j.advances.20240502.11

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    AMA Style

    Gashu AT, Beyene AM. Examining the Influence of Rice Farmers' Characteristics on Extension Service Sources: Insights from Northwestern Ethiopia. Advances. 2024;5(2):28-40. doi: 10.11648/j.advances.20240502.11

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  • @article{10.11648/j.advances.20240502.11,
      author = {Ayele Tesfahun Gashu and Adane Melak Beyene},
      title = {Examining the Influence of Rice Farmers' Characteristics on Extension Service Sources: Insights from Northwestern Ethiopia
    },
      journal = {Advances},
      volume = {5},
      number = {2},
      pages = {28-40},
      doi = {10.11648/j.advances.20240502.11},
      url = {https://doi.org/10.11648/j.advances.20240502.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.advances.20240502.11},
      abstract = {This study aimed to investigate the relationship between farmers' characteristics and their access to agricultural extension services from multiple sources. The researchers collected cross-sectional data from a sample of 384 rice-farming households and analyzed the data using descriptive statistics and a binary Probit regression model. The result showed that age of the household, rice farming experience, plot number, cultivated rice land, dependency ratio, and crop diversification are drivers of receiving agricultural extension service. The study also explored the factors that drive farmers' choice of service providers for agricultural extension at the household level. The findings indicate that factors such as sex, education level, household size, dependency ratio, oxen number, crop income, and cultivated rice land are the main drivers of farmers' selection of service providers. This implies that farmers' socio-economic characteristics influence their choice of extension service providers. Given the current emphasis on demand-driven agricultural extension services, the findings of this study are particularly relevant. It is suggested that for better effectiveness of agricultural extension, it would be practical for providers of extension services to target a certain type of farmer that they can best serve.
    },
     year = {2024}
    }
    

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    T1  - Examining the Influence of Rice Farmers' Characteristics on Extension Service Sources: Insights from Northwestern Ethiopia
    
    AU  - Ayele Tesfahun Gashu
    AU  - Adane Melak Beyene
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    DO  - 10.11648/j.advances.20240502.11
    T2  - Advances
    JF  - Advances
    JO  - Advances
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    PB  - Science Publishing Group
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    AB  - This study aimed to investigate the relationship between farmers' characteristics and their access to agricultural extension services from multiple sources. The researchers collected cross-sectional data from a sample of 384 rice-farming households and analyzed the data using descriptive statistics and a binary Probit regression model. The result showed that age of the household, rice farming experience, plot number, cultivated rice land, dependency ratio, and crop diversification are drivers of receiving agricultural extension service. The study also explored the factors that drive farmers' choice of service providers for agricultural extension at the household level. The findings indicate that factors such as sex, education level, household size, dependency ratio, oxen number, crop income, and cultivated rice land are the main drivers of farmers' selection of service providers. This implies that farmers' socio-economic characteristics influence their choice of extension service providers. Given the current emphasis on demand-driven agricultural extension services, the findings of this study are particularly relevant. It is suggested that for better effectiveness of agricultural extension, it would be practical for providers of extension services to target a certain type of farmer that they can best serve.
    
    VL  - 5
    IS  - 2
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Author Information
  • Agricultural Extension Research, Ethiopian Institute of Agricultural Research, Fogera National Rice Research and Training Centre, Bahir Dar, Ethiopia

  • Agricultural Extension Research, Ethiopian Institute of Agricultural Research, Fogera National Rice Research and Training Centre, Bahir Dar, Ethiopia

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