Factors influencing Labour Allocation Decision among Smallholder Farmers in Ondo State, Nigeria

Authors

  • Ibidapo I.   Department of Agricultural Science,Adeyemi College of Education, Ondo
  • Oni  Department of Agricultural Economics, University of Ibadan, Ibadan
  • O. A.  

Keywords:

Labour Allocation, Smallholder, Farm Wage Employment, Farming Household.

Abstract

Labour allocation and shortage for agricultural production is a serious concern of smallholder farmers in the rural areas of Ondo state, Nigeria. However, there is little empirical evidence to understand labour allocation decisions of smallholder farmers. Hence, the determinants of labour allocation decisions among smallholder farmers in Ondo state, Nigeria were investigated. A multistage sampling technique was used to select respondents for the study using structured questionnaire to elicit information on socio-economic/demographic, farm and locational characteristics of respondents. Data were analysed using descriptive statistics and Multinomial Logit model (MNL). The result showed that the mean age of household head was 44.5±4.3years, 55.7% were male headed households while 56.5% of the respondents were married. The result of the MNL indicated that, age, gender, educational attainment, household size and access to credit, among others were the significant variables influencing labour allocation in the study area. Labour allocation of smallholder farmers plays significant role in agricultural and rural development. It was recommended that access to education, credit and infrastructure would enhance household heads to allocate more time and labour to farm and non-farm activities in the study area.

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International Journal of Scientific Research in Science and Technology

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Published

2017-10-31

Issue

Volume 3, Issue 7, September-October-2017

Section

Research Articles

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How to Cite

[1]
Ibidapo I. , Oni, O. A., " Factors influencing Labour Allocation Decision among Smallholder Farmers in Ondo State, Nigeria, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 7, pp.1028-1036, September-October-2017.