Improving farmers access to agricultural extension services delivery systems: Lessons from a field study in western Uttar Pradesh, India

Improving farmers access to agricultural extension services delivery systems: Lessons from a field study in western Uttar Pradesh, India

Authors

  • Ankit Nagar Indian Institute of Technology (IIT) Roorkee, Roorkee- 247667 Uttarakhand
  • Dinesh Kumar Nauriyal Indian Institute of Technology Roorkee, Uttarakhand, India
  • Sukhpal Singh Indian Institute of Technology Roorkee, Uttarakhand, India

Keywords:

Agriculture, Access, Extension Services, Ordered Logistic regression

Abstract

This paper examines the key determinants of farmers access to agricultural extension services, and the sources of agricultural extension services preferred and accessed by farmers. An ordered logistic regression model was used to analyse the data of 360 sample households based on a primary survey conducted in western Uttar Pradesh, India. The study finds that farmers decision to engage in the agricultural extension programme is significantly influenced by factors such as education level, gender, farming experience, social group, group membership, farm size, credit access, awareness of the extension scheme, farmers perception and distance from extension sources. The most intriguing finding of this study is that progressive farmers, who have long been regarded as a major source of knowledge diffusion, are the most distrusted sources of information as they are suspected of withholding vital information from potential beneficiaries. The positive relationship between farm size and ‘Access’ underlines that the extension services should revisit their strategies for targeting more marginal and small farmers by incorporating their priorities into their outreach programs. The study suggests that marginal and small farmers productive potential could still be greatly augmented by the appropriate technology, advisory services, guidance and improved market access.

Author Biographies

Ankit Nagar, Indian Institute of Technology (IIT) Roorkee, Roorkee- 247667 Uttarakhand

Research scholar, Department of Humanities and Social Sciences, Indian Institute of Technology, Roorkee, Uttarakhand, India, E-mail ID: anagar@hs.iitr.ac.in

Dinesh Kumar Nauriyal, Indian Institute of Technology Roorkee, Uttarakhand, India

Professor, Department of Humanities and Social Sciences, Indian Institute of Technology Roorkee, Uttarakhand, India, E-mail ID: dk_nauriyal@yahoo.com

Sukhpal Singh, Indian Institute of Technology Roorkee, Uttarakhand, India

Professor, Department of Humanities and Social Sciences, Indian Institute of Technology Roorkee, Uttarakhand, India, E-mail ID: s.singh@hs.iitr.ac.in

References

Abdallah, Abdul-Hanan, and Rahaman, Awal Abdul (2016). ‘Determinants of Access to Agricultural Extension Services: Evidence from Smallholder Rural Women in Northern Ghana’. Asian Journal of Agricultural Extension, Economics & Sociology 9(3): pp.1-8.

Admassie, A., & Ayele, G. (2010). Adoption of improved technology in Ethiopia. Ethiopian Journal of Economics, 19(1), 155-179.

Ali, Muhammad and Man, Norsida (2017). Reaching the Millions: Accelerating Agricultural Extension Services Through Information and Communication Technologies (ICTS). World Applied Sciences Journal 35 (3): 352-355.

Anang, BenjaminTetteh; Bäckman, Stefan; and Sipiläinen,Timo (2020). Adoption and income effects of agricultural extension in northern Ghana. Scientific African 7.

Anderson, S. (2011). Caste as an Impediment to Trade. American Economic Journal: Applied Economics, 3(1), 239-63.

Anderson, Jock R. and Feder, Gershon (2003). Rural Extension Services. Agriculture and Rural Development Department. World Bank, Washington, DC. World Bank, Washington, DC. World Bank Policy Research Working Paper 2976, February

Arias, D.; Leguia, J. S.; and SY, A. (2013). Determinants of Agricultural Extension Services: The Case of Haiti. LCSSD Food Papers Series, World Bank, LCSAR.

Babu S C, Joshi PK, Glendenning C J, Kwadwo A O and Rasheed S V. (2013). The State of Agricultural Extension Reforms in India: Strategic Priorities and Policy Options. Agricultural Economics Research Review 26 (2), 159-172.

Balasubramaniam, D., Chatterjee, S., and Mustard, D. B. (2014). Got water? Social divisions and access to public goods in rural India. Economica, 81(321):140–160.

Bhogal, Preety. (2016). Policy Imperatives for India’s Small Farmers. ORF Issue Brief, December, 8.

Birkhaeuser, D., Evenson, R. E., & Feder, G. (1991). The Economic Impact of Agricultural Extension: A Review. Economic Development and Cultural Change, 39(3), 607-650.

Deshpande, A. (2011). The grammar of caste: Economic discrimination in contemporary India. Oxford University Press.

Doss, Cheryl R. and Morris, Michael L. (2001). How does gender affect the adoption of agricultural innovations? The case of improved maise technology in Ghana. Agricultural Economics 25. pp.27-39.

Elias, Asres; Nohmi, Makoto; Yasunobu, Kumi; and Ishida, Akira. (2013). Effect of Agricultural Extension Program on Smallholders’ Farm Productivity: Evidence from Three Peasant Associations in the Highlands of Ethiopia. Journal of Agricultural Science; Vol. 5, No. 8; 2013. pp.163-181.

Franklin Simtov, Manfred Zeller (2006), The Impact of Access to Credit on the Adoption of hybrid maise in Malawi: An Empirical test of an Agricultural Household Model under credit market failure; Munich Personal RePEc Archive.

Ganguly, S., Feder, G., & Anderson, J. R. (2006). The rise and fall of training and visit extension: an Asian mini-drama with an African epilogue. World Bank Policy Research Working Paper, (3928).

Genius, M., Pantzios, C. J., & Tzouvelekas, V. (2006). Information acquisition and adoption of organic farming practices. Journal of Agricultural and Resource Economics, 93-113.

Glendenning, C. J., & Ficarelli, P. P. (2012). The relevance of content in ICT initiatives in Indian agriculture. International Food Policy Research Institute, 1-40.

Glendenning, C. J., & Ficarelli, P. P. (2011). Content development and management processes of ICT initiatives in Indian agriculture. Information Development, 27(4), 301-314.

Glendenning, C. J., Babu, S., & Asenso-Okyere, K. (2010). Review of agricultural extension in India: Are farmers' information needs being met? IFPRI Discussion Paper 01048. International Food Policy Research Institute (IFPRI).

Grilli, L, and Rampichini, C (2014). Ordered logit models. In: Michalos AC (Ed.). Encyclopedia of Quality of Life and Well-Being Research. Dordrecht, Netherlands: Springer, pp 4510-4513.

Gupta, I., Veettil, P. C., & Speelman, S. (2020). Caste, Social Networks and Variety Adoption. Journal of South Asian Development, 15(2), 155-183.

IFPRI–World Bank (2010). Gender and governance in rural services: Insights from India, Ghana, and Ethiopia. Agriculture and Rural Development. Washington, DC, USA: The World Bank.

Idowu, O. O. (2005). Farmers' perception of agricultural extension agents' characteristics as factors for enhancing adult learning in Mezam division of Northwest Province of Cameroon. Australian Journal of Adult Learning, 45(2), 223.

Jafry, T., & Sulaiman V, R. (2013). Gender inequality and agricultural extension. The Journal of Agricultural Education and Extension 19: 433–436.

Kaegi, S. (2015). The experiences of India’s agricultural extension system in reaching a large number of farmers with rural advisory services. In Background paper for Workshop Reaching the Millions at Hanoi, Vietnam.

Karlan, Dean; Osei-Akoto, Issac; Osie, Robert; and Udry, Chris (2010). Examining Underinvestment in Agriculture: Returns to Capital and Insurance in Ghana.” Presentation given at the 6th Annual Microinsurance Conference in Manila, Philippines. Nov. 10.

Krishna VV, Aravalath LM, Vikraman S (2019). ‘Does caste determine farmer access to quality information?’ PLoS ONE 14(1): e0210721.

Kumar, S. M., & Venkatachalam, R. (2019). Caste and credit: A Woeful Tale? The Journal of Development Studies, 55(8), 1816-1833.

Kumar, A., Mishra, A. K., Sonkar, V. K., & Saroj, S. (2020). Access to credit and economic well-being of rural households: Evidence from eastern India. Journal of Agricultural and Resource Economics, 45(1), 145-160.

Lahai, B. A., Goldey, P., & Jones, G. E. (1999). The gender of the extension agent and farmers' access to and participation in agricultural extension in Nigeria. The Journal of Agricultural Education and Extension, 6(4), 223-233.

Lavison, R. (2013). Factors Influencing the Adoption of Organic Fertilisers in Vegetable Production in Accra, M.Sc. Thesis, Accra Ghana.

Magar, Santa Bahadur Gharti (2011). An Assessment of Men and Women Farmers’ Accessibility to Governmental Agriculture Extension Program: A Case of Arghakhanchi District, Nepal. Master Degree in Management of Development Specialization: Rural Development and Gender Wageningen, the Netherlands.

Mendola, M. (2007). Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh. Food Policy, 32(3), 372-393.

Moahid, Masaood; Maharjan, Keshav Lall (2020) "Factors Affecting Farmers’ Access to Formal and Informal Credit: Evidence from Rural Afghanistan," Sustainability, MDPI, Open Access Journal, vol. 12(3), pages 1-16, February.

Mwamakimbula, A. M. (2014). Assessment of the factors impacting agricultural extension training programs in Tanzania: A Descriptive Study. Iowa State University. Graduate Theses and Dissertations. 14227.

National Sample Survey Office (NSSO)-Jan-Dec. 2013. Household Ownership and Operational Holdings in India, NSS 70th Round, Government of India, Ministry of Statistics and Programme Implementation.

O'Donoghue, C., & Hennessy, T. (2015). Policy and economic change in the agri-food sector in Ireland. The Economic and Social Review, 46(2, Summer), 315-337.

OECD (2000). Adoption of Technologies for Sustainable Farming Systems, Wageningen Workshop Proceedings, Ministry of Agriculture, Nature Management and Fisheries, The Netherlands, 4-7 July.

Ofuoku, A. U. (2013). Influence of extension agents’ and farmers’ communications factors on the effectiveness poultry technology messages. Tropical Agricultural Research and Extension, 15(1)

Paltasingh, K. R., & Goyari, P. (2018). Impact of farmer education on farm productivity under varying technologies: case of paddy growers in India. Agricultural and Food Economics, 6(1), 7.

Parmar, I. S., Soni, P., Kuwornu, J. K., & Salin, K. R. (2019). Evaluating farmers’ access to agricultural information: Evidence from Semi-arid region of Rajasthan State, India. Agriculture, 9(3), 60.

Ragasa, C., & Mazunda, J. (2018). The Impact of Agricultural Extension Services in the Context of a Heavily Subsidised Input System: The Case of Malawi. World Development, 105, 25-47.

Rao S (2017) Caste Discrimination and Agricultural Performance in India. Economic and Political Weekly 52 (25 & 26): pp.32–38.

Rimal, N. S., & Kumar, S. (2015). Yield gap analysis of major pulses in India. Journal of the Institute of Agriculture and Animal Science, 213-219.

Sajesh, V. K. and Suresh, A. (2016), ‘Public-Sector Agricultural Extension in India: A Note’, Review of Agrarian Studies vol. 6, no. 1, January–June, pp.116-131.

Sajesh, V. K., Padaria, R. N., & Sadamate, V. V. (2018). Pluralism in agricultural extension in India: imperatives and implications. Economic Affairs, 63(4), 1017-1025.

Sendhil, R., Singh, R., Ramasundaram, P., Kumar, A., Singh, S., & Sharma, I. (2014). Yield gap in wheat: Approach, quantification and resetting research priorities in India. Journal of Wheat Research, 6(2), 138-149.

Singh, S., Singh, R. K., & Singh, R. (2013). Enhancing rice and wheat production by bridging yield gap in western Uttar Pradesh of India. Journal of Wheat Research, 5(2).43-47.

Syiem, R., & Raj, S. (2015). Access and usage of ICTs for agriculture and rural development by the tribal farmers in Meghalaya state of North-East India. Agrárinformatika/Journal of Agricultural Informatics, 6(3), 24-41.

Tiwari, K. R., Sitaula, B. K., Nyborg, I. L., & Paudel, G. S. (2008). Determinants of farmers’ adoption of improved soil conservation technology in a middle mountain watershed of central Nepal. Environmental Management, 42(2), 210-222.

World Bank (2019), ‘Employment in Agriculture’, World Bank Data, Accessed on 21 June. 2019 from https://data.worldbank.org/indicator/SL.AGR.EMPL.ZS).

Wossen, T., Abdoulaye, T., Alene, A., Haile, M. G., Feleke, S., Olanrewaju, A., & Manyong, V. (2017). Impacts of extension access and cooperative membership on technology adoption and household welfare. Journal of Rural Studies, 54, 223-233.

Yimer, F., Abay, K., Degu, T. (2019). Evaluation of modern agricultural technologies adoption and impact of adoption on productivity. FARA Res. Rep. Volume 4, Issue 3, pp-1-26.

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Published

26-02-2022

How to Cite

Nagar, A., Nauriyal, D. K., & Singh, S. (2022). Improving farmers access to agricultural extension services delivery systems: Lessons from a field study in western Uttar Pradesh, India. Journal of Tropical Agriculture, 59(2). Retrieved from https://jtropag.kau.in/index.php/ojs2/article/view/1110

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