Technical Efficiency in Large-Scale Manufacturing: Evidence from Bangladesh’s Recent Census

This study investigates the technical efficiency (TE) trends in Bangladesh’s large-scale manufacturing sector using stochastic frontier analysis (SFA) on panel data from 98 four-digit industries across four census years (2001, 2006, 2012, and 2019). The findings reveal that TE initially improved in 2006 but declined in 2012 and 2019, indicating that early industrial gains were not sustained due to structural inefficiencies. Export-driven industries, such as textiles, pharmaceuticals, and furniture manufacturing, demonstrate higher efficiency, benefiting from global integration and technological investment. Conversely, domestic-market-dependent industries, including metal, rubber and plastic, tobacco, and printing and publishing, exhibit persistently low efficiency, primarily due to capital underinvestment, outdated production techniques, and weak supply chain integration. Moreover, despite raw material availability, jute and sugar manufacturing continue to decline in efficiency, highlighting the need for modernization and strategic policy interventions. These results underscore the urgency of technological upgradation, workforce training, R&D investment, and infrastructure development to enhance industrial competitiveness.

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Publication Details

Journal
Journal of International Commerce Economics and Policy
Published
2025-11-20
DOI
https://doi.org/10.1142/s1793993325500309
Primary Topic
Efficiency Analysis Using DEA
Type
article
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article

Technical Efficiency in Large-Scale Manufacturing: Evidence from Bangladesh’s Recent Census

Sheue-Li Ong, Mst. Noiyan Tara, Lim Thye Goh
Journal of International Commerce Economics and Policy
Efficiency Analysis Using DEA
article

Technical Efficiency in Large-Scale Manufacturing: Evidence from Bangladesh’s Recent Census

Sheue-Li Ong, Mst. Noiyan Tara, Lim Thye Goh
article en

Abstract

This study investigates the technical efficiency (TE) trends in Bangladesh’s large-scale manufacturing sector using stochastic frontier analysis (SFA) on panel data from 98 four-digit industries across four census years (2001, 2006, 2012, and 2019). The findings reveal that TE initially improved in 2006 but declined in 2012 and 2019, indicating that early industrial gains were not sustained due to structural inefficiencies. Export-driven industries, such as textiles, pharmaceuticals, and furniture manufacturing, demonstrate higher efficiency, benefiting from global integration and technological investment. Conversely, domestic-market-dependent industries, including metal, rubber and plastic, tobacco, and printing and publishing, exhibit persistently low efficiency, primarily due to capital underinvestment, outdated production techniques, and weak supply chain integration. Moreover, despite raw material availability, jute and sugar manufacturing continue to decline in efficiency, highlighting the need for modernization and strategic policy interventions. These results underscore the urgency of technological upgradation, workforce training, R&D investment, and infrastructure development to enhance industrial competitiveness.

Journal of International Commerce Economics and Policy
Comilla University (BD), University of Malaya (MY)
Openalex Percentile: Top 59%
Efficiency Analysis Using DEA
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Technical Efficiency in Large-Scale Manufacturing: Evidence from Bangladesh’s Recent Census — Sheue-Li Ong, Mst. Noiyan Tara, et al. · Journal of International Commerce Economics and Policy (2025) | TGRS Research Map | TGRS