Analysis of Rice Productivity among Beneficiaries of Anchor Borrowers Programme in Adamawa State, Nigeria: Data Envelopment Analysis Approach

Main Article Content

A. Bitrus
I. M. Sulumbe
A. Ibrahim

Abstract

Rice production in Nigeria has always been dominated by small scale farmers using traditional crude methods which are inefficient, resulting in low yield.  Various measures have been taken by the government to improve rice production with the view of achieving self-sufficiency in rice production for consumption as well as export. Despite these measures, rice has not been sufficiently produced to meet the demand of the growing population in Adamawa State. So many problems might have contributed to this, which could be due to lack of adaptable rice varieties and low level of productivity of resources used by the rice farmers among others. Recently, the federal government introduced the anchor borrowers programme (ABP) with the goal of helping rice farmers to achieve desired output using improved production resources. This paper examined rice productivity and factors affecting rice farmers’ productivity among beneficiaries of anchor borrowers programme in Adamawa State, Nigeria. A multistage random sampling procedure was used in selecting the respondents. A structured questionnaire is administered to 139 farmers spread across 3 Local Government Areas to obtain information on farmer’s socio-economic variables, inputs used and output obtained in rice production. The objectives were analyzed using descriptive statistics, data envelopment analysis and OLS regression. The DEA result for level of productivity revealed that the average technical efficiency of 0.71, a minimum of 0.02 and a maximum of 1.0, indicating that the inefficient farmers could decrease their levels of input usage by 29% to produce the same levels of outputs to be at the same level with the frontier farmers. The results showed that the double log functional form gave the best line of fit. R2 value was about 86% and statistically significant at 1% level. Seed (0.882), family labour (0.712), hired labour (0.109), herbicide (0.548), fertilizer (0.200) and land (0.211) were positively and significantly related to productivity at different probability levels. Based on the findings, the study concluded that the mean technical efficiency (productivity) score was 0.71 indicating a high level of productivity. The study also found that all the production factors used by rice farmers among anchor borrower’s beneficiaries had a positive influence on the productivity levels of the rice farmers. Hence, productivity among rice farmers depends largely on their production factors.

Keywords:
Productivity, ABP, data envelopment analysis, regression, Adamawa State, rice farmers.

Article Details

How to Cite
Bitrus, A., Sulumbe, I. M., & Ibrahim, A. (2020). Analysis of Rice Productivity among Beneficiaries of Anchor Borrowers Programme in Adamawa State, Nigeria: Data Envelopment Analysis Approach. Asian Journal of Agricultural Extension, Economics & Sociology, 38(11), 34-44. https://doi.org/10.9734/ajaees/2020/v38i1130448
Section
Original Research Article

References

Samarendu M. Trends in global rice consumption. Rice Today, International Rice Research Institute. 2013;12(1).

FAO. FAO website; 2018. Available:http://www.fao.org/faostat/en/data/QC/visualize

United States Department of Agriculture; 2018.

Apata TG, Folayan A, Apata OM, Akinlua, J. The economic role of Nigeria’s subsistence agriculture in the transition process: Implications for rural development. A paper presented at the 85th Annual Conference of the Agricultural Economics Society, Warwick University. 2011;18–20. Available:http://ageconsearch.umn.edu/bitstream/108942/2/64apata_folayan_apata_akinlua.Pdf

Udemezue JC. Analysis of rice production and consumption trends in Nigeria. Journal of Plant Science and Crop Protection. 2018;1(3):305-340.

National Population Commission. National population commission. population census of the Federal Republic of Nigeria. Census Report. National Population Commission, Abuja; 2006.

Saka MG, Jatau DF, Olaniyi WA. Status of indigenous tree species in Girei Forest Reserve of Adamawa State. Department of Forestry and Wildlife Management, Modibbo Adama University of Technology, Yola, Adamawa State, Nigeria. Department of Forest Resources Management, University of Ibadan, Ibadan, Nigeria. Jfewr Publications. FAO (2002): FAOSTAT; 2013. Available:www.fao.org

Adedeji IA, Tiku NE, Waziri-Ugwu PR, Sanusi SO. The effect of climate change on rice production in Adamawa state, Nigeria. Agroeconomia Croatica. 2018; 7(1):1-3.

Yamane T. Statitics, an introductory analysis, 2nd E.D; New York: Harper and Row; 1967.

Shaikh SA, Hongbing O, Khan K, Ahmed M. Determinants of rice productivity: An analysis of Jaffarabad District- Balochistan, Pakistan European Scientific Journal. 2016;32(12):41-50.

Rios AR, Masters AW, Shively EG. Linkage between market participation and productivity. Results from a multi-country farm household sample. A paper presented at the American Agrcultural Economics Annual Meeting, Orlando, FL; 2008.

Makinta AA. Analysis of causality between market participation and productivity among rice farmers in selected local government area’s in Borno State, Nigeria. Unpublished Ph.D thesis, university of Maiduguri, department of agricultural economics; 2018.

Odoemenem IU, Inakwa JA. Economic analysis of rice production in Cross River State, Nigeria. Journal of Development and Agricultural Economics. 2011;3(9):469-474.

Maurice DC, Joseph M, Garba A. Analysis of technical inefficiency in food crop production system among small-scale farmers in some selected local government areas of Adamawa State, Nigeria. ATBU, Journal of Science, Technical and Education (JOSTE). 2015;3(1):78-87.

Buba TJ. Economic analysis of maize production in Kaduna State, Nigeria. Unpublished M.Sc Thesis, Department of Agricultural Economics and Rural Sociology, Faculty of Agriculture, Ahmadu Bello University Zaria, Nigeria. 2005;10-62.

Olumba CC. Productivity of improved plantain technologies in Anambra State, Nigeria. African Journal of Agricultural Research. 2014;9(29):2196-2204.

Amaza PS. Resource-use efficiency in food production in Gombe State, Nigeria. An unpublished Ph.D, Dissertation Submitted to the Department of Agricultural Economics, University of Ibadan; 2000.

Awotide DO. Resource use efficiency and inputs institutions in upland rice production in Ogun State, Nigeria. Unpublished PhD Thesis, Department of Agricultural Economics, University of Ibadan; 2004.

Ekong EE. Rural Sociology: An introduction and analysis of rural Nigeria.

Dove Educational Publication, Uyo; 2003.

Nasiru MO. Microcredit and agricultural productivity in Ogun state, Nigeria. World Journal of Agricultural Sciences. 2010;6 (3):290-296.

Ajibefun IA, Battesse GE, Daramola AG. Determinants of technical efficiency in smallholder food crop farming: Application of stochastic frontier production function. Journal of International Agriculture. 2002; 41(3):225-240.

Oni O, Pender J, Phillips D, Kato E. Trends and drivers of agricultural productivity in Nigeria. Nigeria strategy support program (NSSP) Report 001: IFPRI; 2009.

Umar SI, Ndanitsa MA, Olaleye SR. Adoption of improved rice production technology among youth farmers in Gbako LGA, Niger State. Journal of Agricultural Extension. 2009;13(1):95-101.

Gwandi O. Economics analysis of beniseed in Mubi Region. MSc Unpublished Thesis, Department on Agricultural Economics, Modibbo Adama University of Technology Yola Nigeria; 2012.

Ogundele OO, Okoruwa O. Technical efficiency differentials in rice production technologies in Nigeria. African Economic Research Paper. 2006; 17.

Obasi PC, Henri-Ukoha A, Ukewuihe IS, Chidiebere-Mark NM. Factors affecting agricultural productivity among arable crop farmers in Imo State, Nigeria. American Journal of Experimental Agriculture. 2013; 3(2):443-454.