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Production and scale efficiency of maize farming households in South-Western Nigeria

Author

Listed:
  • Aziz Karimov
  • Bola Amoke Awotide
  • Taiwo Timothy Amos

Abstract

Purpose - – The purpose of this paper is to estimate production and scale efficiency of maize producing farms in South-Western Nigeria. Design/methodology/approach - – This study is based on a semi-parametric approach and uses a combination of econometrics and linear programming to build two stage Data Envelopment Analysis (DEA) model. Findings - – Model findings shows existence of production and scale inefficiencies in maize production. The study concludes that there is still room for efficiency improvements in the existence of the current maize production technology. It also finds several socio-economic variables such as, off-farm work, education, extension services and credit, which positively impact on technical efficiency of farm households. Practical implications - – Efficiency indicators could be used to monitor resource use efficiency in crop production by local government. Social implications - – Efficiency improvements will increase maize production in the country which in turn reduce social unrest and food insecurity. Originality/value - – This study is one of the first which has employed DEA approach to analyze maize productivity and pioneer in using non-traditional bootstrapping approach to obtain robust efficiency scores in the case of Nigeria.

Suggested Citation

  • Aziz Karimov & Bola Amoke Awotide & Taiwo Timothy Amos, 2014. "Production and scale efficiency of maize farming households in South-Western Nigeria," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 41(11), pages 1087-1100, November.
    • Handle: RePEc:eme:ijsepp:v:41:y:2014:i:11:p:1087-1100
    DOI: 10.1108/IJSE-12-2012-0260
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    Citations

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    Cited by:

    1. Benjamin Tetteh Anang & Stefan Bäckman & Antonios Rezitis, 2016. "Does farm size matter? Investigating scale efficiency of peasant rice farmers in northern Ghana," Economics Bulletin, AccessEcon, vol. 36(4), pages 2275-2290.
    2. Xiaotuan Li & Panfei Yang & Yuntao Zou, 2023. "An Empirical Investigation of the “Mezzogiorno Trap” in China’s Agricultural Economy: Insights from Data Envelopment Analysis (2015–2021)," Agriculture, MDPI, vol. 13(9), pages 1-30, September.
    3. DJOKOTO, Justice Gameli & OWUSU, Victor & AWUNYO-VITOR, Dadson, 2020. "Is Organic Agriculture More Scale Efficient Than Conventional Agriculture? The Case Of Cocoa Cultivation In Ghana," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 23(2), October.
    4. Embaye, Weldensie T. & Bergtold, Jason S. & Schwab, Benjamin & Zereyesus, Yacob A., 2018. "Modeling Farm Household’s Productivity under Inseparable Production and Consumption decisions," 2018 Annual Meeting, August 5-7, Washington, D.C. 274226, Agricultural and Applied Economics Association.
    5. Raoul Akanro & Abraham Amoussouga Gero & Marie Odile Attanasso, 2022. "Estimation and determinants of technical efficiency of smallholder cashew (anacardium) farmers in Dassa district, Benin: a bootstrap data envelopment approach," SN Business & Economics, Springer, vol. 2(12), pages 1-17, December.

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