Analysis of demographic characteristics of “poor” and “non poor” cassava- based farmers in Cross River State, Nigeria

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Emmanuel E. Agbachom
Gabriel N. Odok
Idiong C. Idiong

Abstract

This study analyzed the demographic characteristics of cassava-based farmers in Cross River State. The specific objectives were to analyze the socioeconomic characteristics of cassava-based farmers and determine the number of poor and non poor cassava-based farmers. Data were obtained from structured questionnaires and personal interviews. Multi-stage pre-survey and random sampling techniques were adopted to select the sample size of 360 cassava-based farmers with a sample spread of 144, 108 and 108 for Calabar, Ikom and Ogoja agricultural zones. The socioeconomic characteristics were analyzed using descriptive analysis, percentages and frequency tables. The result from the socioeconomic analyses showed that, 47.09% of respondents had family sizes of 4-6 persons. While in terms of educational qualification, cassava farmers with FSLC category had 34.84% and 29.03% in the category of farmers within age bracket of 41-50 years. The result for farm sizesshowed that, majority of farmers with less than three (< 3) hectares of land, were majority with 83.3%, and those who were able to access credit had 55.4%, number of extension visit was 59.6%. The female households were more prone to poverty of 40% and the males were 10% “non-poor”. Therefore, female farmers were prone to high level of poverty in Ogoja zone. Based on the findings it was recommended that policies that would enhance the income of cassava-based female farmers should be put in place and implemented in the State to help reduce their levels of poverty.

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Agbachom, E. E., Odok, G. N., & Idiong, I. C. (2018). Analysis of demographic characteristics of “poor” and “non poor” cassava- based farmers in Cross River State, Nigeria. Journal Of Agriculture, Forestry & Environment , 3(1), 216-225. https://jafe.net.ng/index.php/home/article/view/34

References

Agbachom, E. E. & Amalu, E. M. (2016). Promoting implementation of sustainable development goals in rural Nigeria. Poverty issues and its determinant among cassava-based farming households in Akpabuyo L.G.A. Global Journal of Pure and Applied Sciences, 22:7-13.

Coelli, T. & Battese, G. E. (1996). Identification of factors which influence the technical inefficiency of Indian farmers.

Australian Journal of Agricultural Economics, 40 (2)

Ellis, F. (2000). Peasant Economics of farm households and rural development. Cambridge, Cambridge University Press.

FAO (2010). Agriculture towards 2015/30. Food and Agriculture Organization. Technical Herein Report, April 2, 2009. FAO Rome.

FAO (2014). The state of world cassava. Food and Agriculture Organization. http://www.fao.org retrieved 30 June, 2013.

Foster, J., Greer, J. & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrical, 52(1): 20 – 25.

Kalra, K. B. (2006). Dictionary of Economics. 2nd Ed. New Delhi, Academic India publisher.

Lipsey, R. G. & Steiner, P. O. (1981). Economics. 6th Ed. New York, Harper and Row publisher.

Meier, G. M. (1973). Leading issues in economics of agricultural development. New York, Cornell University Press..

Onwubuke, M. I. (2014). Analysis of food security and poverty status of households in Calabar metropolis in Cross River State Nigeria. Unpublished B Agric project, Department of Agricultural Economics and Extension, University of Calabar, Calabar.

Salama, A., Kamara, A. B. & Brixiova, Z. (2010). Small holder Agriculture in fast Africa, Trends Constraints and opportunities. Working paper series No. 105 African Development Bank May 5th – 10th,2009.

UNDP (2014). Poverty and human development, issues using income as a determinant. United Nation Development Programme. http://www.hdrsundp.org./country -fact sheet pelf retrieved 16th Nov. 2015.

UNHC (2004). Human rights dimension of poverty. United Nations High Commission for Refugees. Available at http/www.chr.org./english/issues/p overty accessed 4th Dec. 2015

Wadud, A. & White, B. (2000). Farm household efficiency in Bangladesh: A comparison of stochastic frontier and data envelopment analysis methods. Applied Economics, 32: 1665-1673.

Weir, S. (2003). The Effect of Education on farmers productivity in Rural Ethiopia.Working paper presented at centre for the study of African Economics, University of Oxford. July 15th – 20th, 1998.

Wooland, H. & Liebbrand, T. (1999).Determinants and effects of incomes diversification among farm households. Journal of

Development Studies, 28(2): 264-239.