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Technical Efficiency of Some Selected Manufacturing Industries in Bangladesh

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dc.contributor.author Md. Azizul Baten
dc.contributor.author Masud Rana
dc.contributor.author Sumonkanti Das
dc.contributor.author Md. Abdul Khaleque
dc.date.accessioned 2014-08-11T09:50:27Z
dc.date.available 2014-08-11T09:50:27Z
dc.date.issued 2006-12
dc.identifier.citation The Lahore Journal of Economics Volume 11, No.2 en_US
dc.identifier.issn 1811-5438
dc.identifier.issn http://121.52.153.179/Volume.html
dc.identifier.uri http://hdl.handle.net/123456789/5665
dc.description PP.19 ;ill en_US
dc.description.abstract This paper investigates the technical efficiency of selected manufacturing industries of Bangladesh using a stochastic frontier production function approach suggested by Battese and Coelli (1992) applied to panel data. A feasible Cobb-Douglas stochastic frontier production function, which has time-varying technical inefficiency effects, was estimated. Two alternative distributions were used to model the random inefficiency term: a truncated normal distribution and a half-normal distribution. The estimated average technical efficiency for four groups of industries of Bangladesh over the reference period was 40.22% of potential output for the truncated normal distribution, whereas it was 55.57% of potential output for the half-normal distribution. en_US
dc.language.iso en en_US
dc.publisher © The Lahore School of Economics en_US
dc.subject Technical efficiency en_US
dc.subject Stochastic frontier en_US
dc.subject Manufacturing en_US
dc.title Technical Efficiency of Some Selected Manufacturing Industries in Bangladesh en_US
dc.title.alternative A Stochastic Frontier Analysis en_US
dc.type Article en_US


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