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 |