Disaggregated productivity measurement of industrial firms using the data envelopment analysis method

Firms in the industrial sector in the Sultanate of Oman need to strategise by measuring and evaluating their current status regarding productivity, efficiency, and technology. Productivity measurement was conducted using data envelope analysis with data from 31 decision-making units between 2015 and 2020. It was observed that productivity performance deteriorated over this period. The average efficiency change was measured at 2.14%. Furthermore, industrial firms, on average, performed well in determining the efficiency frontier, with a measured change of 0.54%. Additionally, the calculated decomposed efficiency change score suggests that while the industrial sector is generally effective in scaling operations, it faces challenges in utilising inputs effectively. This indicates that the industrial sector did not manage its resources efficiently during the sample period.

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Journal
International Journal of Computational Economics and Econometrics
Published
2025-01-01
DOI
https://doi.org/10.1504/ijcee.2025.145024
Primary Topic
Efficiency Analysis Using DEA
Type
article
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article

Disaggregated productivity measurement of industrial firms using the data envelopment analysis method

Umair Saeed Bhutta, Ahmar Qasim Qazi, Muhammad Rehan Shaukat, Amitabh Mishra
International Journal of Computational Economics and Econometrics
Efficiency Analysis Using DEA
article

Disaggregated productivity measurement of industrial firms using the data envelopment analysis method

Umair Saeed Bhutta, Ahmar Qasim Qazi, Muhammad Rehan Shaukat, Amitabh Mishra
article en

Abstract

Firms in the industrial sector in the Sultanate of Oman need to strategise by measuring and evaluating their current status regarding productivity, efficiency, and technology. Productivity measurement was conducted using data envelope analysis with data from 31 decision-making units between 2015 and 2020. It was observed that productivity performance deteriorated over this period. The average efficiency change was measured at 2.14%. Furthermore, industrial firms, on average, performed well in determining the efficiency frontier, with a measured change of 0.54%. Additionally, the calculated decomposed efficiency change score suggests that while the industrial sector is generally effective in scaling operations, it faces challenges in utilising inputs effectively. This indicates that the industrial sector did not manage its resources efficiently during the sample period.

International Journal of Computational Economics and EconometricsVol. 15(1/2)
Higher Colleges of Technology (AE), College of Applied Sciences, Nizwa (OM)
Decent work and economic growth
Openalex Percentile: Top 94%
Efficiency Analysis Using DEA
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Disaggregated productivity measurement of industrial firms using the data envelopment analysis method — Umair Saeed Bhutta, Ahmar Qasim Qazi, et al. · International Journal of Computational Economics and Econometrics (2025) | TGRS Research Map | TGRS