Skip to main content

Differentials at firm level productive capacity realization in Bangladesh food manufacturing: an empirical analysis

Buy Article:

$47.00 plus tax (Refund Policy)

This article empirically estimates the firm-specific productive capacity realization (PCR) indices using the stochastic frontier production function and analyses a number of variables explaining realization rates across firms and over time. Following Battese and Coelli (1995) the stochastic frontier production function is used to estimate capacity output and thereby PCR. Using the Firm level panel data from Bangladesh food manufacturing, the results show that capacity realization rates widely vary across firms and over time. The average rate of realization is about 65% implying that most of the firms are producing away from their full production capacity. This article also identifies several firm-specific and policy-related variables explaining capacity realization. The results show that firm size (SZE) and outward orientation (OPN) have positive while capital intensity (CNSTY), market structure (MSTRE) and effective rate of assistance (ERA) have negative impact on realization rates. Strikingly, both policy-related variables are statistically insignificant. Sensitivity analysis using the 'extreme bound analysis' also confirms the fragility (insignificance) of these two variables. Excessive support to firms and piecemeal liberalization reform may be attributed to these results. Thus, further reform of the domestic and trade policies are suggested to ensure competition and competitiveness of the manufacturing sector and of the country.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: Curtin Business School (CBS), Perth, WA 6845, Australia

Publication date: 2008-12-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more