Sky Journal of Agricultural Research Vol. 6(2), pp. 022-027, February, 2017. Available online http://www.skyjournals.org/SJAR
ISSN 2315-8751 ©2017 Sky Journals

 

Full length Research Paper

Assessment of rural farm household poverty: Evidence from Potiskum Local Government Area of Yobe State, Nigeria

 

Okpachu, S. A.1, Madu, U. V.2 and Okpachu, G. A.3
 

1Department of Agricultural Education, Federal College of Education (Technical), Potiskum, Yobe State.
2Department of Agricultural Education, Federal College of Education (Technical), Potiskum, Yobe State.
3International Institute for Tropical Agriculture (IITA), Ibadan.
     

 

*Corresponding author. E-mail: steve_okpachu@yahoo.com.

 

 

Accepted 2 March, 2017

 

 

Abstract

The paper examined the poverty status of rural farm households in Yobe State, Nigeria using a descriptive statistics, Foster, Greer and Thorbecke poverty (FGT) indices and probit regression model. The data used were generated from a survey involving 100 rural farm household’s which were selected using simple random sampling technique. The findings revealed that 70%, 80%, 90% and 88% of the respondents were male, married, with farm holding between 1 – 2 ha and no formal education respectively Results of analysis showed that only 10% of the farm households have access to potable water; while the common toilet facility was the bush. The study showed that the poverty incidence (Po) was discovered to be 99%, the poverty depth/gap (P1) was found to be 98.9% and the poverty severity (P2) was 98.8%. The result of probit regression model indicated that gender, age, household size, farm size, education, membership of cooperatives and farm income are the major determinants of poverty among rural farm households. It is therefore recommended that government should create awareness to on birth control to reduce large family size, provide social infrastructure and make education accessible and affordable to rural farmers’ household. Rural farm households should endeavour to be more active in the value chain. 


Key words:
Rural farmers’ household, poverty status, probit regression model, poverty measure.

 

 

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