Determinants of Women Farmers’ Land Management Decisions in Osun State of Nigeria
J. O. Oladeebo
Abstract
J. O. Oladeebo
Abstract
The study examined determinants of women farmers’ land management decisions in Osun State of Nigeria. Data were obtained from 100 women farmers with the aid of structured questionnaire. Respondents were selected using multi-stage sampling technique. Data collected were analyzed using descriptive statistics and multiple regression technique. Results showed that the average age of respondents was 41 years while the average farm size cultivated was about 3 hectares. Regression results revealed that farm size and farm income were the major significant factors determining women farmers land management decisions in Osun State of Nigeria. The study recommends that strategies which will encourage women farmers to expand their farm size should be designed and implemented. Extension agents should educate women farmers on modern techniques in soil conservation. Government should design policy which will make it easy for women farmers to have access to fertilizer at affordable cost.
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The study examined determinants of women farmers’ land management decisions in Osun State of Nigeria. Data were obtained from 100 women farmers with the aid of structured questionnaire. Respondents were selected using multi-stage sampling technique. Data collected were analyzed using descriptive statistics and multiple regression technique. Results showed that the average age of respondents was 41 years while the average farm size cultivated was about 3 hectares. Regression results revealed that farm size and farm income were the major significant factors determining women farmers land management decisions in Osun State of Nigeria. The study recommends that strategies which will encourage women farmers to expand their farm size should be designed and implemented. Extension agents should educate women farmers on modern techniques in soil conservation. Government should design policy which will make it easy for women farmers to have access to fertilizer at affordable cost.
Key concepts: Descriptive statistics, Hectare, Multistage sampling, Government (linguistics), Socioeconomics, Business, Local government area, Agricultural science