Skip Navigation Links.
Collapse <span class="m110 colortj mt20 fontw700">Volume 12 (2024)</span>Volume 12 (2024)
Issue 1, Volume 12, 2024
Collapse <span class="m110 colortj mt20 fontw700">Volume 11 (2023)</span>Volume 11 (2023)
Issue 4, Volume 11, 2023
Issue 3, Volume 11, 2023
Issue 2, Volume 11, 2023
Issue 1, Volume 11, 2023
Collapse <span class="m110 colortj mt20 fontw700">Volume 10 (2022)</span>Volume 10 (2022)
Issue 4, Volume 10, 2022
Issue 3, Volume 10, 2022
Issue 2, Volume 10, 2022
Issue 1, Volume 10, 2022
Collapse <span class="m110 colortj mt20 fontw700">Volume 9 (2021)</span>Volume 9 (2021)
Issue 3, Volume 9, 2021
Issue 2, Volume 9, 2021
Issue 1, Volume 9, 2021
Collapse <span class="m110 colortj mt20 fontw700">Volume 8 (2020)</span>Volume 8 (2020)
Issue 4, Volume 8, 2020
Issue 3, Volume 8, 2020
Issue 2, Volume 8, 2020
Issue 1, Volume 8, 2020
Collapse <span class="m110 colortj mt20 fontw700">Volume 7 (2019)</span>Volume 7 (2019)
Issue 4, Volume 7, 2019
Issue 3, Volume 7, 2019
Issue 2, Volume 7, 2019
Issue 1, Volume 7, 2019
Collapse <span class="m110 colortj mt20 fontw700">Volume 6 (2018)</span>Volume 6 (2018)
Issue 4, Volume 6, 2018
Issue 3, Volume 6, 2018
Issue 2, Volume 6, 2018
Issue 1, Volume 6, 2018
Collapse <span class="m110 colortj mt20 fontw700">Volume 5 (2017)</span>Volume 5 (2017)
Issue 6, Volume 5, 2017
Issue 5, Volume 5, 2017
Issue 4, Volume 5, 2017
Issue 3, Volume 5, 2017
Issue 2, Volume 5, 2017
Issue 1, Volume 5, 2017
Collapse <span class="m110 colortj mt20 fontw700">Volume 4 (2016)</span>Volume 4 (2016)
Issue 6, Volume 4, 2016
Issue 5, Volume 4, 2016
Issue 4, Volume 4, 2016
Issue 3, Volume 4, 2016
Issue 2, Volume 4, 2016
Issue 1, Volume 4, 2016
Collapse <span class="m110 colortj mt20 fontw700">Volume 3 (2015)</span>Volume 3 (2015)
Issue 6, Volume 3, 2015
Issue 5, Volume 3, 2015
Issue 4, Volume 3, 2015
Issue 3, Volume 3, 2015
Issue 2, Volume 3, 2015
Issue 1, Volume 3, 2015
Collapse <span class="m110 colortj mt20 fontw700">Volume 2 (2014)</span>Volume 2 (2014)
Issue 6A, Volume 2, 2014
Issue 6, Volume 2, 2014
Issue 5, Volume 2, 2014
Issue 4, Volume 2, 2014
Issue 3, Volume 2, 2014
Issue 2, Volume 2, 2014
Issue 1, Volume 2, 2014
Collapse <span class="m110 colortj mt20 fontw700">Volume 1 (2013)</span>Volume 1 (2013)
Issue 6, Volume 1, 2013
Issue 5, Volume 1, 2013
Issue 4, Volume 1, 2013
Issue 3, Volume 1, 2013
Issue 2, Volume 1, 2013
Issue 1, Volume 1, 2013
World Journal of Agricultural Research. 2013, 1(6), 108-113
DOI: 10.12691/WJAR-1-6-3
Original Research

Effect of Ill Health on Technical Efficiency of Dry Season Vegetable Farmers in Ojo Local Government Area of Lagos State Nigeria

Aminu F.O.1, , Ayinde I.A.1 and Ambali O.I.2

1Department of Agricultural Economics and Farm Management, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria

2Department of Agricultural Economics and Farm Management, Olabisi Onabanjo University, Yewa Campus, Ayetoro, Ogun State, Nigeria

Pub. Date: October 16, 2013

Cite this paper

Aminu F.O., Ayinde I.A. and Ambali O.I.. Effect of Ill Health on Technical Efficiency of Dry Season Vegetable Farmers in Ojo Local Government Area of Lagos State Nigeria. World Journal of Agricultural Research. 2013; 1(6):108-113. doi: 10.12691/WJAR-1-6-3

Abstract

This paper examined the effect of ill health on technical efficiency of dry season vegetable farmers in Ojo Local Government Area of Lagos State, South-West, Nigeria. A total of 80 dry season vegetable farmers were sampled through a multi-stage sampling procedure. Data were analysed using descriptive statistics and stochastic frontier analysis. The results showed that majority (68%) of the farmers were within the economic active age group of 25 and 35 years. The mean number of days absent from farm work due to illness was 3 days while majority (70%) of the farmers had contact with extension workers. The major problems confronting the farmers were inadequate land, capital and pest infestation among others. The return to scale value of 1.15estimated from the Stochastic Frontier Analysis revealed that farmers were operating in stage 1 of the production surface, hence, the need to employ more resources in order to maximize benefits. The mean technical efficiency was 0.701. This implies that the efficiency of the vegetable farmers can be improved at the existing technology by about 29.9% in the short run. The health variable which was captured by illness episodes and number of days absent from work due to illness had positive coefficient and statistically significant at p < 0.10. The study therefore concludes that ill health have adverse effect on the technical efficiency of the dry season vegetable farmers in the study area, thereby reducing their productivity levels.

Keywords

effect, ill health, technical efficiency, dry season, vegetables, farmers

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]  Mensah, J.K., Okoli, R.I., Ohaju-Obodo J.O., and Eifediyi, K. “Phytochemical, nutritional and medical properties of some leafy vegetables consumed by Edo people of Nigeria.” Afr. J. Biotechnol., 7: 2304-2309, 2008.
 
[2]  Ajewole, O.C. and Folayan, J.A. “Stochastic Frontier Analysis of Technical Efficiency in Dry Season Leaf Vegetable Production among Small Holders in Ekiti State, Nigeria” Medwell Agricultural Journal 3(4): 252-257, 2008.
 
[3]  Ogunniyi, L.T., and Oladejo, J.A. “Technical Efficiency of Tomato Production in Oyo State, Nigeria.” Agric. Sci. Research Journal Vol 1(4) Pp. 84-91, June, 2011.
 
[4]  Dipeolu, A.O. and Mommoh, S. “Economics of Dry- Season vegetable production in Abeokuta Environs”. A paper presented at the 16th annual conference of the Horticultural society of Nigeria (HORTSON), University of Agriculture, Abeokuta. Pp. 46-47, 1998.
 
[5]  FAO. “vegetable production under arid and semi-arid conditions in tropical Africa.” FAO plant production and protection paper 89, 1998.
 
[6]  Ajao, A.O. “Technical efficiency of dry season vegetable in Osun State, Nigeria.” Journal of Amer. Sci.; 8(9), 616-620, 2012.
 
[7]  Aminu, F.O. “An Assessment of the Profitability and Constraints to Vegetable Production Under Fadama in Freshwater Forest Zone of Nigeria.” Advances in Agriculture, Sciences and Engineering Research Vol. 3(4) April: 792-800, 2013.
 
[8]  \Akindode, S.O., Dipeolu, A.O., Ibrahim, D.A. “Effect of Disease Burden on Technical Efficiency among Lowland Rice Farming Households in North Central Nigeria”. World Journal of Agricultural Sciences 7 (3): 359-367, 2011.
 
[9]  Asenso-Okyere, K., Asante,F.A., Tarekegn,J. and Andam, K.S. “The linkage between agriculture and health.” International Food Policy Research Institute Discussion Paper 00861. Washington, D.C. International Food Policy Research Institute. 1-16, 2009.
 
[10]  Schultz, P. “Productive benefit of improving health: Evidence from low income countries”. Mimeo,Yale-University, 1999.
 
[11]  Strauss, J., and Thomas, D. “Health, nutrition and economic development.” J. Econ. Literature, 36: 766-817, 1998.
 
[12]  Ajani, O.I.Y. and Ugwu, P. C. “Impact of Adverse Health on Agricultural Productivity of Farmers in Kainji Basin North-Central Nigeria Using a Stochastic Production Frontier Approach”. Trends in Agricultural Economics, 1: 1-7, 2008.
 
[13]  Farrell, J.M. “The Measurement of Productive Efficiency” J. Royal Stat., Vol.120, 253-290, 1957.
 
[14]  Alwris,K.N. and Francis, E. “Technical Efficiency of Broiler Farms in the Central Region of Saudi Arabia”: Stochastic Frontier Approach. Res. Bult., No. (116), Agric Res. Center, King Saud University, Pp 5-34, 2003.
 
[15]  Coelli, T.J., D.S., Prasada Rao, and Battese, G.E. “An Introduction to Efficiency and Productivity Analysis” Kluwer Academic Publishers, London,UK, 1998.
 
[16]  Bravo-Ureta, B.E. and Rieger, L. “Alternative Production Frontier Methodologies and Dairy Farm Efficiencies.” J. Agr. Econs. 14: 215-26, 1990.
 
[17]  Aigner, D.J., Lovel, C.A.K., and Schmidt, P.J. “Formulation and estimation of Stochastic Production Function Models.” Journal of Econometrics 6: 21-37, 1977.
 
[18]  Amaza, P.S. and Olayemi, J.K. “Technical efficiency in food crop production in Gombe state, Nigeria.” Nigeria Agricultural Journal 32:140-151, 2000.
 
[19]  Ogundari K. and Ojo S.O “Economic Efficiency of Small Scale Food Crop Production in Nigeria: A Stochastic Frontier Approach”. J. Soc. Sci., 14(2): 123-130, 2007.
 
[20]  Battese, G.E., and Corra, G.S. “Estimation of a Production Frontier Model: With Application to the Pastoral Zone of Eastern Australia” Aust. J. Agric. Econ., 21(3): 169-179, 1977.
 
[21]  Ogundari, K., and Ojo, S.O. “An examination of Technical Economic and Allocative Efficiency of small farms: the case study of cassava farmers in Osun State of Nigeria”. Journal of Central European Agriculture, 3:423-432, 2006.
 
[22]  Ogundari K., and Ojo S.O. “The Determinants of Technical Efficiency in Mixed-Crop Food Production in Nigeria.” A Stochastic Parametric Approach. East Afri. J. Rural Develop., 2: 1, December 2005.
 
[23]  Muhammad-Lawal, A. “Efficiency of Sweet Orange Production among small scale farmers in Osun State, Nigeria”. African Journal of General Agriculture, vol.3 No2 Pp127-132, 2007.
 
[24]  Akinbode, S.O.. Dipeolu, A.O., and Ayinde, I.A. “An examination of technical, allocative and economic efficiencies in Ofada rice farming in Ogun State, Nigeria.” African Journal of Agricultural Research Vol. 6(28), Pp. 6027-6035, 26 November, 2011.