| 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 |