IMPACT OF IMPROVED VARIETY ADOPTION ON FARM INCOME IN TOLON DISTRICT OF GHANA
DOI:
https://doi.org/10.21776/ub.agrise.2019.019.2.5Keywords:
Adoption, improved maize varieties, farm income, regression with endogenous treatment effect model, GhanaAbstract
This paper estimates the effect of improved maize variety adoption on farm income in the Tolon District of Ghana. The study covered the 2017/2018 farming season and involved 160 randomly selected maize farmers from four communities in the district. A regression with endogenous treatment effect model, which accounts for selection bias arising from both observable and unobservable factors was used to estimate the effect of improved maize variety adoption on farm income. The results indicate that men have lower probability of adoption while adoption increased with extension contact, access to fertilizer subsidy and cattle ownership but decreased with the cost of adoption. The results further indicate that adoption is significantly and positively related to farm income. Adoption of improved maize varieties increased gross farm income of maize farmers by GH¢852. Farm income also increased with farm size and cattle ownership but was lower for female farmers. Institutional factors such as provision of agricultural extension advisory services and subsidized fertilizer are essential to promote adoption of improved varieties; hence these services should be made readily available to farmers. Addressing the problem of inadequate extension staff and logistical challenges confronting extension workers are some of the pragmatic steps required to promote adoption of improved varieties in order to improve farm incomes. Furthermore, subsidized fertilizer should be made available to farmers on time and in the right quantities to enhance adoption and farm incomes, while farmers should be encouraged to rear livestock as this enhances both adoption and farm income.
References
Ajayi, O. C., Franzel, S., Kuntashula, E., Kwesiga, F. 2003. Adoption of improved fallow technology for soil fertility Management in Zambia: Empirical studies and emerging issues. Agroforestry Systems, 59, 317 – 326.
Alemaw, A. T. (2014). Impact of improved maize varieties adoption on smallholder farmers’ marketed maize surplus in Oromia regional state, Ethiopia (Doctoral dissertation, Sokoine University of Agriculture).
Alhassan, A., Salifu, H., Adebanji, A. O. 2016. Discriminant analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana. SpringerPlus, 5(1), 1514.
Amare, M., Asfaw, S., Shiferaw, B. 2012. Welfare impacts of maize–pigeon pea intensification in Tanzania. Agricultural Economics, 43(1), 27-43.
Audu, V. I. – Aye, G. C. 2014. The effects of improved maize technology on household welfare in Buruku, Benue State, Nigeria. Cogent Economics and Finance, 2(1), 960592.
Bank of Ghana (2017). Monetary Policy Report, Vol. 2.1 (May 2017): 1-17. Available at https://www.bog.gov.gh/privatecontent/MPC_Press_Releases/Monetary%20Policy%20Report%20-%20May%202017.pdf. (Accessed 3 April 2019).
Becerril, J., Abdulai, A. 2010. The impact of improved maize varieties on poverty in Mexico: a propensity score matching approach. World development, 38(7), 1024-1035.
Beshir, B., Wegary, D. 2014. Determinants of smallholder farmers’ hybrid maize adoption in the drought-prone Central Rift Valley of Ethiopia. African Journal of Agricultural Research, 9(17), 1334-1343.
Bezu, S., Kassie, G. T., Shiferaw, B., and Ricker-Gilbert, J. (2014). Impact of improved maize adoption on welfare of farm households in Malawi: a panel data analysis. World Development, 59, 120-131.
CIMMYT (International Maize and Wheat Improvement Center) 1993. The adoption of agricultural technology: a guide for survey design. CIMMYT.
De Janvry, A., Sadoulet, E. 2002. World poverty and the role of agricultural technology: direct and indirect effects. Journal of Development Studies, 38, 1-26.
Ebojei, C. O., Ayinde, T. B., Akogwu, G.O. 2012. Socio-economic factors influencing the adoption of hybrid maize in Giwa Local Government Area of Kaduna State, Nigeria. Journal of Agricultural Sciences, 7(1).
Enki, M., Belay, K., Dadi, L. 2001. Determinants of adoption of physical soil conservation measures in central highlands of Ethiopia: the case of three districts of North Shewa. Agrekon, 40(3), 293-315.
Feder, G., Just, R. E., Zilberman, D. 1985. Adoption of agricultural innovations in developing countries: A survey. Economic Development and Cultural Change, 33(2), 255-298.
Gemeda, A., Aboma, G., Verkuijl, H., Mwangi, W. 2001. Farmers’ Maize Seed Systems in Western Oromia, Ethiopia. International Maize and Wheat Improvement Center, Mexico.
Government of Ghana (2017). The Budget Statement and Economic Policy of the Government of Ghana for the 2017 Financial Year (1st ed.). Accra: Ministry of Finance. Retrieved from http://www.mofep.gov.gh/
Ibrahim, M., Wojciech, J. F., Kolavalli, S. 2012. The determinants of farmer adoption of improved peanut varieties and their impact on farm income: International Food Policy Research Institute, Ghana.
Jaleta, M., Kassie, M., Marenya, P. 2015. Impact of improved maize variety adoption on household food security in Ethiopia: an endogenous switching regression approach. Paper presented at the 29th International Conference of Agricultural Economists, Milan, Italy, August 8-14, 2015.
Kalinda, T., Tembo, G., Kuntashula, E., Lusaka, Z. 2014. Adoption of improved maize seed varieties in Southern Zambia. Asian Journal of Agricultural Sciences, 6(1), 33-39.
Karanja, D. D., Renkow, M., Crawford, E.W. 2003. Welfare effects of maize technologies in marginal and high potential regions of Kenya. Agricultural Economics, 29(3), 331-341.
Karki, L. B., Bauer, S. 2004. Technology adoption and household food security. Analyzing factors determining technology adoption and impact of project intervention: A case of smallholder peasants in Nepal. Proceedings of Deutscher Tropentag Workshop (pp. 5-7).
Kassie, M., Jaleta, M., Shiferaw, B. A., Mmbando, F., De Groote, H. 2012. Improved maize technologies and welfare outcomes in smallholder systems: Evidence from application of parametric and non-parametric approaches. 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil (No. 128004). International Association of Agricultural Economists.
Katengeza, S., Mangisoni, J. H., Kassie, G. T., Sutcliffe, C., Langyintuo, A. S., La Rovere, R., Mwangi, W. M. (2012). Drivers of improved maize variety adoption in drought-prone areas of Malawi. Journal of Development and Agricultural Economics, 4(14), 393-403.
Khonje, M., Manda, J., Alene, A.D. and Kassie, M. (2015). Analysis of adoption and impacts of improved maize varieties in Eastern Zambia. World Development 66, 695-706.
Mendola, M. 2007. Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh. Food Policy, 32(3), 372-393.
MOFA 2011. Agriculture in Ghana: Facts and Figures (2010). ed: Accra. Ghana: Statistics, Research, and Information Directorate.
MOFA 2017. Agriculture in Ghana: Facts and Figures (2016). ed: Accra. Ghana: Statistics, Research, and Information Directorate.
Moyo, S., Norton, G. W., Alwang, J., Rhinehart, I., Deom, C.M. 2007. Peanut research and poverty reduction: Impacts of variety improvement to control peanut viruses in Uganda. American Journal of Agricultural Economics, 89(2), 448-460.
Mugisha, J., Diiro, G. 2010. Explaining the adoption of improved maize varieties and its effects on yields among smallholder maize farmers in eastern and central Uganda. Middle-East Journal of Scientific Research, 5(1), 6-13.
Salifu, H., Salifu, K. 2015. Determinants of farmers’ adoption of improved maize varieties in the Wa Municipality. American International Journal of Contemporary Research, 5(4), 27-35.
Tura, M., Aredo, D., Tsegaye, W., La Rovere, R., Tesfahun, G., Mwangi, W., Mwabu, G. 2010. Adoption and continued use of improved maize seeds: Case study of Central Ethiopia. African Journal of Agricultural Research, 5(17), 2350-2358.
Tweneboah, C. K. 2000. Modern agriculture in the tropics with special reference to Ghana. Co-Wood Publishers, Accra.
Wu, H., Ding, S., Pandey, S., Tao, D. 2010. Assessing the Impact of Agricultural Technology Adoption on Farmers' Wellâ€being Using Propensityâ€Score Matching Analysis in Rural China. Asian Economic Journal, 24(2), 141-160.
Zeng, D. 2014. Three essays on the adoption and impacts of improved maize varieties in Ethiopia (Doctoral dissertation, Virginia Tech).
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