Efficiency Dynamics and Productivity Analysis of Manufacturing Industries in Bangladesh

Author:

Sanusi Olajide1ORCID,Adeeko Omotara2

Affiliation:

1. United Arab Emirates University

2. Massachusetts College of Liberal Arts

Abstract

Abstract In this study we use the stochastic frontier model in estimating total factor productivity (TFP) growth and technical efficiencies for manufacturing industries in Bangladesh by using surveys collected during five rounds in 1982/83, 1984/85, 1988/89, 2005/06 and 2012. To detect the source of growth, we further decompose Total Factor Productivity growth into efficiency growth, scale component, and technological progress. Our result establishes that, on average, technical efficiency was 80%, noting that the export focused industries are comparatively more efficient than non-export focused industries. Furthermore, medium, and large-scale industries have a lower TFP growth than small scale industries. Furthermore, the Total Factor Productivity growth estimations shows that productivity in the manufacturing industries in Bangladesh was approximately 5.5% in the review period illustrating that technological progress is a major driver of growth. Additionally, this study provides evidence on the likelihood of TFP growth convergence over time among the manufacturing industries in Bangladesh. JEL classification: D24; O14

Publisher

Research Square Platform LLC

Reference51 articles.

1. Formulation and estimation of stochastic frontier production function models;Aigner D;Journal of econometrics,1977

2. Efficiency of Listed Manufacturing Firms in Jordan: A Stochastic Frontier Analysis;Al-Durgham L;International Journal of Economics and Financial Issues,2020

3. Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level;Auci S;Economia Politica,2020

4. Autor D, Salomons A (2018) Is automation labor-displacing? Productivity growth, employment, and the labor share (No. w24871). National Bureau of Economic Research.

5. Technical efficiency in stochastic frontier production model: an application to the manufacturing industry in Bangladesh;Baten MA;Australian Journal of Basic and Applied Sciences,2009

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