@article{
 title = {Analysis of Factors Affecting the Technical Efficiency: A Case Study},
 type = {article},
 year = {2018},
 pages = {10-13},
 volume = {6},
 id = {69730a3b-8ebf-3778-9231-08a6ebb86f6c},
 created = {2020-11-12T21:43:58.051Z},
 file_attached = {true},
 profile_id = {3d6b17c2-7de8-3a82-bf4f-ddb0e3081e5f},
 last_modified = {2021-05-05T16:16:40.871Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {The measurement of the production efficiency in agricultural production is very important since it gives useful information for making decisions, resource allocations, and for formulating agricultural policies and institutional improvement. This paper attempts to estimate the individual banana farmer’s technical and scale efficiency in Kushtia district of Bangladesh by input and output-oriented Data Envelopment Analysis (DEA) model considering the variable returns to scale (VRS) assumption. The result specifies that the average technical efficiency (TE) and scale efficiency (SE) for banana farmers in Kushtia district is about 87% and 97% respectively for both input and output oriented VRS. Also, Tobit regression shows the variation of TE is related to farm-specific attributes such as age, experience, education of farmers and firm size. All of these factors provide a positive impact on farmer’s efficiency. Therefore, this study suggests that the existing inefficiency may be reduced through training, policy interventions, adoption and spread of improved agricultural mechanization.},
 bibtype = {article},
 author = {Md. Moyazzem Hossain, and Ajit Kumar Majumder},
 journal = {International Journal of Economics and Statistics}
}

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