Technical Efficiency Analysis of Small-holder Farmers in Rural and Peri-urban Areas of Nigeria

2012 ◽  
Vol 37 (1) ◽  
pp. 57-66 ◽  
Author(s):  
Benjamin C. Asogwa ◽  
Joseph C. Umeh ◽  
Simon T. Penda
2021 ◽  
Vol 11 (2) ◽  
pp. 277
Author(s):  
Paul Maganga Nsimbila

This study assessed the productivity and technical efficiency variability among small-holder cotton farmers in Bunda district, Tanzania. The efficiency analysis results have shown that the scores of technical efficiency sample of contract farmers varied from 1.75% to 87.07%, with an average of 46.05%. The implication of this is that there existed considerable technical deficiency in cotton farming. That is to say, usually, small-holder cotton contract farmers in the investigation region incurred loss of about 53.95% in outputs as a result of technical deficiency. The sources of inefficiency for contract farmers were experience of contract farmers, gender of household head and owning Television (TV)On the other hand, non-contract small-holder farmers’ technical efficiencies varied from 3.94% to 82.05%, having a mean of 46.79%. Usually, small-holder non-contract farmers in the investigation region incurred loss of about 53.21% in outputs as result of technical deficiency. The implication of this is that output average can be raised by at least 53.21% through the application of resources available as well as the given technology if the deficiency factors are addressed fully. The source of inefficiency for non-contract farmers is owning TV.It is recommended that young farmers need to be encouraged to join contract farming in order to get high productivity, more female headed households should be encouraged to participate in contract farming, both contract and non-contract farmers should watch TV programs which are educative and can assist them gain farm management knowledge for high productivity and lastly, ginners are required to provide more services in exchange of exclusive purchasing rights as agreed when signing contracts.


2018 ◽  
Vol 20 (4) ◽  
pp. 2583-2608
Author(s):  
Yiorgos Gadanakis ◽  
Francisco José Areal

Abstract The physical environment of farming systems is rarely considered when conducting farm level efficiency analysis, which is likely to lead to bias of performance measurements based on benchmarking methods such as Data Envelopment Analysis (DEA). We incorporate variations of the physical environment (rainfall and length of growing season) through the specifications of the linear programming in DEA to investigate performance measurement bias. The derived technical efficiency estimates are obtained using a sub-vector DEA which ensures farms are compared in a homogenous environment (i.e. accounting for differences in rainfall levels amongst distinct farm units). We use the Farm Business Survey to analyse a representative sample of 245 cereal farms in the East Anglia region between 2009 and 2010. Efficiency rankings obtained from a standard DEA model and a non-discretionary DEA model that incorporates the variations in the physical environment. We show that incorporating rainfall and the length of the growing season as non-discretionary inputs into the production function had significantly altered the farm efficiency ranking between the two models. Hence, to improve extension services to farmers and to reduce biased estimates of farm technical efficiency, variations in environmental conditions need to be integral to the analysis of efficiency.


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