Evaluating the nexus between farm size, fertilizer input and technical efficiency of rice production in north west, Nigeria: A parametric approach

Document Type : Original Article

Authors

1 Department of Agricultural Economics, Faculty of Agriculture, University of Abuja, PMB 117 Gwagwalada-Abuja, Federal Capital Territory, Nigeria

2 Department of Agricultural-Economics, Faculty of Agriculture, Kaduna State University (KASU), Kaduna State, Nigeria

3 Department of Agricultural-Extension and Management, School of Agricultural Technology, Nuhu Bamali Polytechnic, Zaria, Samaru Kataf Campus, Kaduna State, Nigeria.

4 Department of Agricultural Economics, Faculty of Agriculture, University of Abuja, PMB 117 Gwagwalada-Abuja, Federal Capital Territory, Nigeria.

5 Federal University of Agriculture, Zuru, PMB 28, Zuru, Kebbi State, Nigeria

10.21608/svuijas.2024.292243.1372

Abstract

Rice contributes significantly to reducing food insecurity in sub-Saharan Africa, including Nigeria. This study evaluates the nexus between farm size, fertilizer input, and technical efficiency (TE) of rice production in Nigeria. Data covered 200 rice farmers proportionally distributed in Kano and Kaduna states. The TE levels were obtained using a parametric approach such as the stochastic production efficiency frontier model (SPEFM) and descriptive statistics. The production constraints of rice farmers were evaluated using PCA (Principal Component Analysis). The average TE score of rice producers is 53.13% leaving an efficiency gap of 46.87% for improvement. Inferential analysis showed that the significant predictors influencing TE of rice production include fertilizer, farm size, agrochemicals, seed, and family labour. The addition of the first-order of the production predictors, which is called the scale elasticity, shows increasing RTS (return to scale), which is estimated at 1.958. The sources of TIE (technical inefficiency) of rice production were age, experience in rice farming, education level, members of cooperatives, and amount of credit accessed. The coefficient of variance ratio open paren gamma close paren the gamma is 0.7827; this connotes that 78.27% of variations in rice output were due to differences in TE. The major production constraints facing rice producers include lack of access to farmland (1st), high cost of fertilizers (2nd), and lack of agrochemicals (3rd). The cost of fertilizers should be reduced and made affordable for increased rice productivity and efficiency. Secondly, easy access to farmland is necessary in terms of policy formulations and implementations.

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