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ISSN : 2456-8643

Title:
ADOPTION EFFECT OF CROP MANAGEMENT PRACTICES ON THE TECHNICAL EFFICIENCY OF MA1ZE FARMERS IN SOUTH WESTERN NIGERIA

Authors:
OLAPADE-OGUNWOLE, Folayimi*, TAIWO, John Olayinka and OJEDOKUN, Idris Kayode ,Nigeria

Abstract:
Adoption of improved maize production technologies and management practices has received much attention in recent years because of increase in the demand for maize. Over the years however, the recorded maize yield of an average Nigeria farmer has not been able to match the efforts put into effectively make use of modern production technologies and management practices. The need therefore the examine improved maize production technologies is-a-vis some management practices becomes pertinent in order to identify th factors responsible for the inefficiency of maize farmers. This research therefore focused on the adoption effects of crop management practices on the technical efficiency of maize farmers in Oyo and Osun States Nigeria. A multistage sampling technique was used in collecting data from a cross-sectional sample of 300 maize farming households in Oyo and Osun States. Descriptive statistics (means, frequency counts, percentages, etc.) Data Envelopment Analysis (DEA) Tobit regression analysis were employed in analyzing the data. Results from the Tobit analysis showed that adoption is determined by gender (p < 0.05), years spend in school (p < 0.1) marital status (p < 0.05) and access to extension training (p < 0.1). The average overall technical efficiencies for farmers in Oyo State were 41.6 and 69.5 respectively for Constant Returns to Scale, Variable Returns to Scales and Scale Efficiency while for Osun State; these were 39,66.6 and 61.5 for CRS, VRS and scale efficiency respectively. These results revealed that substantial inefficiencies exist in the farming operations of the two states. The return to scale, where the sub-optimal (VRS), optimal (CRS) and super optimal (DRS) are considered for Oyo State respondents were 88%, 8.7% and 3.3% of the farmers were respectively. For Osun State respondents, 89.3%, 2.7% and 8% of the farmers were sub-optimal, optimal and super-optimal respectively.

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