Abstract
This paper aimed to assess the technical efficiency (TE) of aman rice farms and analyzed the major factors affecting inefficiency of aman rice farms. In doing so, a multistage random sampling method was used to collect primary data from a survey of 455 rice farmers between May and June in 2023 in Kaligonj sub-district of Satkhira district. Stochastic frontier approach (SFA) was employed to predict the efficiency of aman rice farms while the Tobit model was used to identify the factors that influence technical inefficiency. The findings of TE ranged from 0.98 to 0.51 with an average score of 0.8469. Technical inefficiency is largely affected by years of schooling, household size, salinity of land, agriculture policy and access to credit variables. The policy implications of this finding is that the government might provide the agricultural extension network so that the extension agent can better engage with targeted farmers rather than just recommendations. International Journal of Statistical Sciences, Vol. 24(2), November, 2024, pp 97-108
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.