Perceived constraints in agro-processing in unorganized agri-businesses: Learning from Trans-Gangetic Plains
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Keywords:
Adoption, Agro-processing, Agri-business, Constraints, Post-harvest technologyAbstract
Agro-processing within the production catchment has the potential to enhance farmers’ income, reducing post- harvest losses, and generating rural employment in India. A study was carried out during 2019–22 to identify the constraints impacting performance of agro-processing units being run by the unorganized sector in Trans-Gangetic Plains. A total of 60 current and 60 potential agro-processing farmers were undertaken using simple random technique to carry out the study. A combination of quantitative and qualitative approaches were used in collecting data. Data were analyzed using Friedman's, Nemenyi's and Kruskal-Wallis's tests. Study highlighted the issues that current agro- processors encounter, various constraits including high interest rates, inadequate storage, few marketing avenues, slow information access, and expensive equipment maintenance. Further, the challenges faced by aspiring agro-processors were information deficits, marketing and high operating expenses. The insights suggest measures to promote the adoption of post-harvest technologies among stakeholders.
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References
APEDA. 2022. India production. Accessed from https://agriexchange.apeda.gov.in/India%20Production/Result_ SearchProduct.aspx
Ayuba B and Kazeem O A. 2015. The role of marketing research on the performance of business organizations. European Journal of Business and Management 7(6): 148–57.
Chodavarapu S, Giertz A and Jaeger P. 2016. Agribusiness in South Asia. World Bank.
Churchill G A and Brown T J. 2006. Basic Marketing Research. The Dryden Press International, London.
Committee on Doubling Farmers’ Income. 2017. Empowering the farmers through extension and knowledge dissemination. Vol. 11. Ministry of Agriculture and Farmers’ Welfare, New Delhi.
Cronbach L J. 1951. Coefficient alpha and the internal structure of tests. Psychometrika 16(3): 297–334.
Deloitte. 2021. Study to determine the level of food processing in India. Ministry of Food Processing Industries, Government of India.
Dixit A K, Sharma P C, Nanda S K and Kudos S K A. 2010. Impact of processing technology in hilly region: A study on extraction of apricot kernel oil. Agricultural Economics Research Review 23: 405–10.
Edward A L. 1969. Techniques of Attitude Scale Construction. Vakils, Feffer and Simons Pvt. Ltd., Mumbai, India.
Espinoza-Ortega A, Espinosa-Ayala E, Bastida-Lopez J, Castañeda- Martinez T and Arriaga-Jordán C M. 2007. Small-scale dairy farming in the highlands of Central Mexico: Technical, economic and social aspects and their impact on poverty. Experimental Agriculture 43(2): 241–56.
Ferris S, Robbins P, Best R, Seville D, Buxton A, Shriver J and Wei E. 2014. Linking smallholder farmers to markets and the implications for extension and advisory services. MEAS Brief # 4. USAID.
Ganguly K, Gulati A and Braun V J. 2017. Innovations spearheading the next transformations in India's agriculture. ZEF Working Paper Series, No. 159. Center for Development Research (ZEF), University of Bonn, Germany.
Ghanghas B S, Nain M S and Malik J S. 2017. Adoption of post- harvest management practices by vegetable growers in Haryana state. Indian Journal of Extension Education 53(1): 104–10.
Gills R, Sharma J P, Burman R R, Sharma R R and Kar A. 2017. Constraint analysis of fish processing in peri-urban areas of national capital region. Economic Affairs 62(1): 75–81.
GoI. 2021. BRICS Joint Statistical Publication, 2021: Brazil, Russia, India, China, South Africa. Ministry of Statistics and Programme Implementation, New Delhi.
GoI. 2022. Economic Survey 2021–22. Ministry of Finance, Department of Economic Affairs, Economic Division, New Delhi.
Gulati A, Roy R and Hussain S. 2017. Getting Punjab agriculture back on high growth path: Sources, drivers and policy lessons. Indian Council for Research on International Economic Relations (ICRIER), New Delhi.
Gulati A and Juneja R. 2020. Farm mechanization in Indian agriculture with focus on tractors. ZEF discussion papers on development policy, No. 297. Center for Development Research (ZEF), University of Bonn, Germany.
Jha S N, Vishwakarma R K, Ahmad T, Rai A and Dixit A K. 2015. Report on Assessment of quantitative harvest and post-harvest losses of major crops and commodities in India. ICAR-All India Coordinated Research Project on Post-Harvest Technology, ICAR-Central Institute of Post-Harvest Engineering and Technology, Ludhiana.
Kachru R P. 2010. Agro-processing industries in India: Growth, status and prospects. Journal Indonesian Agroindustries 13(2): 167–81.
Khoza T M, Senyolo G M, Mmbengwa V M and Soundy P. 2019. Socio-economic factors influencing smallholder farmers’ decision to participate in agro-processing industry in Gauteng Province, South Africa. Cogent Social Sciences 5(1): 1664193.
Kumar R, Dixit A K, Kumar A and Singh S. 2016. Agro-processing industries in Haryana: Status, problems and prospects. Economic Affairs 61(4): 707–15.
Lambert I. 2001. Problems and constraints to the development of the agro-processing sector. http://www.uwichill.edu.bb/bnccde/dominica/conference/papers/ Lambert.html
Likert R. 1932. A technique for the measurement of attitudes. Archives of Psychology 22(140): 1–55.
Liu C Y, Lin Y and Feng B. 2019. Migrant entrepreneurship in China: Entrepreneurial transition and firm performance. Small Business Economics 52: 681–96.
Mafimisebi T E, Onyeka U P, Ayinde I A and Ashaolu O F. 2006. Analysis of farmer-specific socio-economic determinants of adoption of modern livestock management technologies by farmers in southwest Nigeria. Journal of Food Agriculture and Environment 4(1): 183–86.
Meena M S, Kumar A, Singh K M and Meena H R. 2009. Farmers’ attitude towards post-harvest issues of horticultural crops. Indian Research Journal of Extension Education 9(3): 15–9.
MoF. 2022. Economic Survey 2021–22. Government of India, New Delhi.
MoF. 2023. Economic Survey 2022–23. Government of India, New Delhi.
MoFPI. 2018. Annual Report 2017–18. Government of India, New Delhi.
MoSPI. 2021. Press note on provisional estimates of annual national income 2020–21 and quarterly estimates of gross domestic product for the fourth quarter (Q4) of 2020–21. Government of India, New Delhi.
NABCONS. 2022. Study to determine post-harvest losses of agri-produces in India. Ministry of Food Processing Industries, Government of India.
NSSO. 2018. Economic characteristics of unincorporated non- agricultural enterprises (excluding construction) in India (NSS Report No. 582). Ministry of Statistics and Programme Implementation, Government of India.
Nunnaly J C. 1978. Psychometric Theory. McGraw-Hill, New York. Sekyi S, Abu B M and Nkegbe P K. 2020. Effects of farm credit access on agricultural commercialization in Ghana: Empirical evidence from the northern Savannah ecological zone. African Development Review 32(2): 150–62.
Serra T, Zilberman D and Gil J. 2011. Price volatility in ethanol markets. European Review of Agricultural Economics 38(2): 259–80.
Siegel S and Castellan N J. 1988. Nonparametric Statistics for the Behavioral Sciences, 2nd Edn. McGraw-Hill, New York.
Srinivasarao C, Dixit S, Srinivas I, Reddy B S, Adake R V and Borkar S. 2013. Operationalization of custom hiring centres on farm implements in hundred villages in India. Central Research Institute for Dryland Agriculture, Hyderabad.
Ukwuru M U. 2018. The need for quality control and assurance in local food processing. Food Science and Nutrition Technology 3(1): 1–2.
Weldegiorges Z K. 2015. ‘Benefits, constraints and adoption of technologies introduced through the eco-farm project in Ethiopia’. MSc Thesis, Norwegian University of Life Sciences, Norway. Accessed from https://nmbu.brage.unit.no/nmbu-xmlui/handle/11250/2967
Zhou D and Li L. 2022. Farming experience, personal characteristics, and entrepreneurial decisions of urban residents: Empirical evidence from China. Frontiers in Psychology 13: 859936.
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