Analysis of Credit Access among Cassava Value Chain Actors in Benue State, Nigeria
Author(s) -
Elaigwu Christopher Ogbanje,
O Mary Odah,
A Mohammed Yahaya
Publication year - 2019
Publication title -
journal of asian scientific research
Language(s) - English
Resource type - Journals
eISSN - 2226-5724
pISSN - 2223-1331
DOI - 10.18488/journal.2.2019.91.1.9
Subject(s) - statistic , significant difference , stratified sampling , value (mathematics) , statistics , chain (unit) , variance (accounting) , analysis of variance , business , mathematics , agricultural science , accounting , biology , physics , astronomy
The study examined credit access among cassava value chain actors in Benue State, Nigeria. Stratified random sampling technique was used to select 230 respondents, comprising 138 producers, 40 processors and 52 marketers. Primary data were collected using structured questionnaires. While frequency distribution, mean standard deviation and coefficient of variation were used to realise the objectives, Kruskal-Wallis (H) and one-way analysis of variance were used to test hypotheses one and two, respectively, for the study. The result showed that processors had more access to credit (75.00 %), while marketers obtained more average credit amount (N69,519.00) than the other actors. Findings further showed that the Chi-square statistic (25.56) of Kruskal-Wallis (H) was statistically significant (p
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