Determinants of Deprivation Among Part–time Cassava Farming Households in the Humid Tropic
محورهای موضوعی : Environmental policy and management
Nsikak-Abasi A Etim
1
(Department of Agric. Economics & Extension, University of Uyo, P.M.B. 1017 Uyo, Nigeria)
Sunday Okon
2
(Department of Agric. Economics & Extension, University of Uyo, P.M.B. 1017 Uyo, Nigeria)
Iniobong A. Akpabio
3
(Department of Agric. Economics & Extension, University of Uyo, P.M.B. 1017 Uyo, Nigeria)
کلید واژه: Households, Determinants, Deprivation, Part-Time, Tropic,
چکیده مقاله :
As cost of living rises and people’s wages / salaries do not cover their basic food and dietary needs, interest in parttime farming has risen. Part-time farming activities are being practiced by different people as a food security strategy from vulnerable households. But these part-time farms have had limited success in providing food/nutrition security, increasing incomes and improving well-being. Understanding the factors underlying their persistent deprivation is imperative when designing policies and programmes to meet their needs and improve their welfare. Farm level survey data collected from 60 households with the aid of questionnaire were used to estimate the determinants of deprivation by Tobit regression model. Using the maximum likelihood approach, asymptotic parameters estimates were evaluated to describe determinants of deprivation. Sex, marital status, household size, education, farm income and labour were significant determinants of deprivation.
As cost of living rises and people’s wages / salaries do not cover their basic food and dietary needs, interest in parttime farming has risen. Part-time farming activities are being practiced by different people as a food security strategy from vulnerable households. But these part-time farms have had limited success in providing food/nutrition security, increasing incomes and improving well-being. Understanding the factors underlying their persistent deprivation is imperative when designing policies and programmes to meet their needs and improve their welfare. Farm level survey data collected from 60 households with the aid of questionnaire were used to estimate the determinants of deprivation by Tobit regression model. Using the maximum likelihood approach, asymptotic parameters estimates were evaluated to describe determinants of deprivation. Sex, marital status, household size, education, farm income and labour were significant determinants of deprivation.