Farm Mechanization Innovation Capacity and Rice Productivity: Evidence from Small Scale Rice Farmers in Kwara State, Nigeria


Authors : Olarinre, Abiola Adebunmi; Ajala, Adedolapo Kemi; Ganiyu, Muibat Omolara

Volume/Issue : Volume 9 - 2024, Issue 9 - September

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DOI : https://doi.org/10.38124/ijisrt/IJISRT24SEP906

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Abstract : Rice is a staple diet eaten by more than fifty percent of households in the whole world. There is a deficit currently in the demand- supply production of rice when carefully observed and this is traceable to the use of crude implements and traditional methods of farming. It is to this effect that this study addresses farm mechanization innovation and rice productivity using small scale rice farmers in Kwara State, Nigeria. A total of 261 rice farmers were used for this study out of which only 78 rice farmers adopted the farm mechanization innovation while 183 rice farmers did not. The focus group discussion (FGD) employed revealed that majority of the rice farmers do not have capacity for farm mechanization, hence the low adoption of the innovation. The FGD revealed that 65.90percent of the rice farmers had medium innovation capacity, 28.74percent had low innovation capacity and 5.36percent had high innovation capacity. Employing the Propensity Score Matching (PSM) method to evaluate the impact of farm mechanization on the productivity of rice farming households in Kwara State, Nigeria; the rice farmers that adopted the use of farm mechanization have a higher productivity of 12.68 kg/m2 as against the rice farmers who do not adopt the use of farm mechanization in their farming activities with their own productivity standing at 6.31kg/m2 . This outcome implies that farm mechanization has a positive impact on the productivity of the farmers. It is therefore recommended that quality extension services be put in place in the study area on the benefits of adopting farm mechanization. Also, the government should provide machineries for lease to the rice farmers so as to boost their productivity.

Keywords : Farm Mechanization, Innovation Capacity, Focus Group Discussion (FGD), Productivity and Rice Farmers.

References :

  1. Afodu, O. J., Afolami, C.A., Akinboye, O., Ndubuisi-Ogbonna, L., Ayodeji, A.T., Shobo, B.,                 Ogunnowo M.D., 2019, Livelihood diversification and its determinants on rice farming households in Ogun State, Nigeria. African Journal of Agricultural Research, 14 (35):
  2. Baudron, F.; Sims, B.; Justice, S.; Kahan, D.G.; Rose, R.; Mkomwa, S.; Kaumbutho, P.; Sariah, J.;    Nazare, R.; Moges, G.; et al. Re-examining appropriate mechanization in Eastern and Southern            Africa: Two-wheel tractors, conservation agriculture, and private sector involvement. Food        Secur. 2015, 7, 889–904. [CrossRef]
  3. Biggs, S.; Justice, S. Rural and Agricultural Mechanization: A History of the Spread of Small Engines               in Selected Asian Countries; International Food Policy Research Institute: Washington, DC,               USA, 2015.
  4. Chambers, R., Pacey, A., and Thrupp, L.A (eds). 1989. Farmers first: farmer innovation and agricultural research. London: Intermediate Technical Publications. Retrieved from: https:// opendocs.ids.ac.uk/opendocs/han dle/20.500.12413/701.
  5. Clarke, L.J. and T. Simalenga (1997). Farm Mechanisation and Strategy Formulation in East and Southern Africa in Proceedings of FAO/FARMESA Regional Workshop, 30 September.     Retrieved December 3, 2006.
  6. Dauda S.M., Agidi G. and Shotunde M.A. (2010): Agricultural Tractor Ownership and Off-Season Utilization in Ogun State South Western Nigeria, African Journal of Agricultural,             6 (3):      95-103. 2104-2111.
  7. Davies R. M. Mechanization of Fish Industry in Nigeria Status and Potential for Self-Sufficiency in Fish Production. A Paper Presented at a one-day Workshop on Intensive Fish Farming. 19th August, 2006, P.10.
  8. Eastwood, C.; Klerkx, L.; Ayre, M.; Rue, B.D. Managing socio-ethical challenges in the development               of smart farming: From a fragmented to a comprehensive approach for responsible research and      innovation. J. Agric. Environ. Ethics 2019, 32, 741–768. [CrossRef]
  9. Feryanto, F., & Rosiana, N. (2021). THE USE OF MOBILE PHONES FOR MARKETING AND ITS IMPACT ON FARMERS' WELFARE. AGRISEP Journal: Study of           Socioeconomic    Problems in Agriculture and Agribusiness, 20 (01), 25–40. https://doi.org/10.31186/jagrisep.20.01.25-40
  10. Feryanto, Herawati , A. Rifin and N. Tinaprilla (2022). Does mechanization have an impact on increasing productivity and income of narrow land corn farmers in Indonesia? 2nd International Conference on Environmental Ecology of Food Security. IOP Conf. Series: Earth and Environmental Science 1107  (2022) 012054 IOP Publishing doi:10.1088/1755-    1315/1107/1/012054
  11. Hayami, Y. and Ruttan, V.W. 1985. Agricultural Development: An International Perspective. Baltimore: Johns Hopkins University Press, Baltimore, MD, pp.512. Retrieved from: https://www.academia.edu/23638693/Agricultural_development_An_international_perspective_YujiroHayami_and_Vernon_W._Ruttan_Johns_Hopkins_University_Press_Baltimore_MD_1985_pp._512_39.50_hardcover_18.95_paperback.
  12. Khandker S, Koolwal G. B. and Samad H. (2010). Handbook on Impact Evaluation: Quantitative Methods and Practices. Washington DC: The World Bank
  13. Kurniawan F. E. (2021). The dilemma of agricultural mechanization and the marginalization of women farmworkers in rural areas Sodality: J Sosiologi Pedesaan 9 1-12.
  14. Li M. (2012). Using the propensity score method to estimate causal effects: a review and practical guide Organizational Research Methods 1-39
  15. Li S, Xue L. The application of the propensity score matching method in stock prediction among      stocks within the same industry. PeerJ Comput Sci. 2024 Jan 30;10:e1819. doi: 10.7717/peerj-cs.1819. PMID: 38435608; PMCID: PMC10909155.
  16. Mabayoje, L. (2017). Mechanization in Nigeria: Yesterday, Today and the Future. Pp.1-8.
  17. Manuwa S.I (1996): Management of Agricultural Tractors and implements in tropical setting in Nigeria.Paper presented at the 17th annual conference of N.S.A.E. Federal University of      Technology Akure, Nigeria.
  18. Mottaleb, K.A.; Krupnik, T.J.; Erenstein, O. Factors associated with small-scale agricultural machinery adoption in Bangladesh: Census findings. J. Rural Stud. 2016, 46, 155–168. [CrossRef]
  19. Olaoye JO and Rotimi AO (2010). Measurement of agricultural mechanization index and analysis of agricultural productivity of farm settlements in Southwest Nigeria. Agric. Eng. Int. J., 12 1 125- 134.
  20. Oni K.C. (2004): Effective Management and Maintenance of Agricultural Tractor in Nigeria. Paper presented at the annual conference of NSAE, O.A.U, Ile-Ife, Nigeria.
  21. Owombo P.T., Akinola A.A., Ayodele O.O. and Koledoye G.F. (2012): Economic Impact of Agricultural Mechanization Adoption: Evidence from Maize Farmers in Ondo State, Nigeria. Journal of Agriculture and Biodiversity Research, 1(2): 25-32.
  22. Peng J, Zhao Z and Liu D (2022) Impact of Agricultural Mechanization on Agricultural Production, Income, and Mechanism: Evidence From Hubei Province, China. Front. Environ. Sci. 10:838686. doi: 10.3389/fenvs.2022.838686
  23. Rahman, S. A. and Lawal, A. B. (2003): Economic analysis of maize-based cropping systems in Giwa Local Government Area of Kaduna State, Nigeria, An International Journal of        Agricultural Sciences, Science, Environment and Technology. 3:139-148.
  24. Rhoades, R. 1989. The role of farmers in the creation of agricultural technology. In: Chambers, R., Pacey, A., and Thrupp, L.A (eds). Farmers first: farmer innovation and agricultural research. London: IntermediateTechnical Publications. Retrieved from: https://opendocs. ids.ac.uk/opendocs/handle/20.500. 12413/701.
  25. Rogers E.M. Diffusion of Innovation” New York Press, 1969, P. 13
  26. Roling, N. 2009. Conceptual and Methodological Developments in Innovation. In: Sanginga et al. (Eds), Innovation Africa: enriching farmers' livelihoods. London, UK: Earthscan. Retrieved from: https:// www.researchgate.net/publication/ 4 0 0 9 5 0 13_Conceptual_and_Methodological_ Developments _in_Innovation.
  27. Rosenbaum P. R and Rubin D. B (1983). The central role of the propensity score in observational studies for causal effects Biometrika 70 1 41–55.
  28. Rogers E. M. (1969). Diffusion of Innovation. New York Press.
  29. Santamaria, L., Nieto, M.J., and Barge, G. A. 2009. ‘Beyond formal R&D: Taking Advantage of Other Sources of Innovation, In. Low and Medium Technology Industries’, Research Policy 38(3), 507–517. Retrieved from: https://www.sciencedirect.com /science/article/abs/pii/S004873330 8002229.
  30. Szeto, E. (2000). Innovation capacity: Working towards a mechanism for improving innovation within an inter-organizational network. TQM Magazine, 12 (2), 149–158.
  31. Usman, A.M. and Umar, B. (2003): Farm tractor Maintenance: Types, Procedures and Related Problem in Nigeria. Proceedings of the 4th international conference of Nigeria institution of Agricultural Engineers, 25: 78-84.
  32. Verma S. R: Impact of Agricultural Mechanization on Production, Productivity, Cropping Intensity Income Generation and Employment of Labour. Status of farm mechanization in India, Punjab Agricultural University, Ludhiana 133-153.
  33. Wang, C.L. and Pervaiz, K. A. 2004. The Development and Validation of the Organisational Innovativeness Construct Using Confirmatory Factor Analysis. European Journal of Innovation Management 7(4), 303–313. Retrieved from: http://doi. org/10.1108/14601060410565056.
  34. World Bank. 2011. Agricultural Innovation Systems: An Investment Source Book. World Bank, Washington, DC. p.34.
  35. Yam, R., Lo, W., Tang, E. and Lau, A. 2011. Analysis of Sources of Innovation, Technological Innovation Capabilities, and Performance: An empirical study of Hong Kong manufacturing industries. Research Policy 40 (3), 737–747.doi:10.1016/ j.respol.2010.10.013.

Rice is a staple diet eaten by more than fifty percent of households in the whole world. There is a deficit currently in the demand- supply production of rice when carefully observed and this is traceable to the use of crude implements and traditional methods of farming. It is to this effect that this study addresses farm mechanization innovation and rice productivity using small scale rice farmers in Kwara State, Nigeria. A total of 261 rice farmers were used for this study out of which only 78 rice farmers adopted the farm mechanization innovation while 183 rice farmers did not. The focus group discussion (FGD) employed revealed that majority of the rice farmers do not have capacity for farm mechanization, hence the low adoption of the innovation. The FGD revealed that 65.90percent of the rice farmers had medium innovation capacity, 28.74percent had low innovation capacity and 5.36percent had high innovation capacity. Employing the Propensity Score Matching (PSM) method to evaluate the impact of farm mechanization on the productivity of rice farming households in Kwara State, Nigeria; the rice farmers that adopted the use of farm mechanization have a higher productivity of 12.68 kg/m2 as against the rice farmers who do not adopt the use of farm mechanization in their farming activities with their own productivity standing at 6.31kg/m2 . This outcome implies that farm mechanization has a positive impact on the productivity of the farmers. It is therefore recommended that quality extension services be put in place in the study area on the benefits of adopting farm mechanization. Also, the government should provide machineries for lease to the rice farmers so as to boost their productivity.

Keywords : Farm Mechanization, Innovation Capacity, Focus Group Discussion (FGD), Productivity and Rice Farmers.

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