Abstract/Overview
Technical efficiency measures the effectiveness of an enterprise given the available resources at disposal and how well it transforms these resources to get maximum output. This study therefore investigated the technical efficiency of cricket, A. domesticus and G. bimaculatus, production at JOOUST cricket farm using parametric approach. Stochastic frontier analysis was used to analyze the data collected from the farm between 2015-2017. Maximum likelihood estimates results indicated that labour, cotton wool and feed had significant effect on the technical efficiency of cricket production at 1% and 5% significant levels respectively. Species had significant positive (P
Akinyi</div>, < (2024). Technical Efficiency of Cricket (A. domesticus and G.bimaculatus) Production: A Cobb-Douglas Stochastic Frontier Approach. Afribary. Retrieved from https://track.afribary.com/works/technical-efficiency-of-cricket-a-domesticus-and-g-bimaculatus-production-a-cobb-douglas-stochastic-frontier-approach
Akinyi</div>, <div>Orinda "Technical Efficiency of Cricket (A. domesticus and G.bimaculatus) Production: A Cobb-Douglas Stochastic Frontier Approach" Afribary. Afribary, 04 Jun. 2024, https://track.afribary.com/works/technical-efficiency-of-cricket-a-domesticus-and-g-bimaculatus-production-a-cobb-douglas-stochastic-frontier-approach. Accessed 06 Jul. 2024.
Akinyi</div>, <div>Orinda . "Technical Efficiency of Cricket (A. domesticus and G.bimaculatus) Production: A Cobb-Douglas Stochastic Frontier Approach". Afribary, Afribary, 04 Jun. 2024. Web. 06 Jul. 2024. < https://track.afribary.com/works/technical-efficiency-of-cricket-a-domesticus-and-g-bimaculatus-production-a-cobb-douglas-stochastic-frontier-approach >.
Akinyi</div>, <div>Orinda . "Technical Efficiency of Cricket (A. domesticus and G.bimaculatus) Production: A Cobb-Douglas Stochastic Frontier Approach" Afribary (2024). Accessed July 06, 2024. https://track.afribary.com/works/technical-efficiency-of-cricket-a-domesticus-and-g-bimaculatus-production-a-cobb-douglas-stochastic-frontier-approach