Performance of Nigerian Rice Farms from 2010 to 2019: A Stochastic Metafrontier Approach

Toba Stephen Olasehinde, Fangbin Qiao and Shiping Mao
Additional contact information
Toba Stephen Olasehinde: Institute of Agricultural Economics and Development, Graduate School Chinese Academy of Agricultural Sciences, 12 South Avenue, Zhongguancun, Haidian District, Beijing 100081, China
Fangbin Qiao: China Economics and Management Academy, Central University of Finance and Economics, 39 South College Road, Haidian District, Beijing 100081, China
Shiping Mao: Institute of Agricultural Economics and Development, Graduate School Chinese Academy of Agricultural Sciences, 12 South Avenue, Zhongguancun, Haidian District, Beijing 100081, China

Agriculture, 2022, vol. 12, issue 7, 1-13

Abstract: Rice has become the most rapidly growing staple food crop in Nigeria. Despite the country favorable rice production ecology, there is still a huge gap between domestic rice production and consumption patterns. This study uses a two-step stochastic metafrontier model to estimate the performance of rice farms from 2010 to 2019, considering the differences between the North and South rice farms. The results indicate heterogeneity in production technology across farms located in different regions, and that both regions have low technical efficiency. However, Nigeria’s South rice farms were ranked better based on managerial issues rather than technological gaps. To attain self-sufficiency in rice production as proposed in its national plan, there is room for improvement of technical efficiency and output production at current production levels in the country’s rice farms.

Keywords: technical efficiency; technological gaps; regional differential; production (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2077-0472/12/7/1000/pdf (application/pdf)
https://www.mdpi.com/2077-0472/12/7/1000/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:12:y:2022:i:7:p:1000-:d:860185

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().