کلیلە وشەکان
Data Envelopment Analysis
Tobit Regression Analysis
Soybean farmers
Borno State
چۆنییەتی بەکارهێنانی سەرچاوە
پوختە
This study analyzed productivity among soybean farmers in Biu local Government, Borno State, Nigeria. Specifically, the study identified the socio-economic characteristics of the famers in the study area, examined the productivity of soybean farmers, determined influence of socio-economic characteristics on productivity of famers and identified the constraints of soybean production. A multi stage sampling technique was used to select respondents from 7 wards. Primary and secondary data were used for the study. Data were collected by the use of structured questionnaires administered to the 60 farmers sampled from the seven (7) wards at random. The data were analyzed using descriptive statistics and inferential statistics (that is, Data Envelopment Analysis and Tobit Regression model). The result revealed that majority 55.5% of the respondents were within the age gap of 21-30, 60% were males, 68.3% were formally educated, with household size of 1-5 people (48.3%). Majority were 60% married, about 70% of the farmers had farming experience of 1-10years, 56.7% had a farm size of 1-2 hectares, 75% had access to extension services and 75% were not in any farmer’s association. The DEA results for productivity revealed an average technical efficiency of 0.86. The Tobit regression analysis for socio-economic factors influencing productivity revealed age, gender, household size ,educational level, farm size,, access to extension services were statistically significant at 5% level of probability and positively influenced productivity while farming experience, access to agricultural credit were statistically significant at 1% while marital status and membership of farmers association were not significant. The major constraints faced by soybean farmers were inadequate capital, poor soil fertility and pest and disease.
سەرچاوەکان
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