Abstract
This paper attempts to investigate this claim through measuring the technical efficiency
for 26 companies surveyed in 1995-2005 in Libyan construction industry. In measuring
technical efficiency data envelopment analysis (DEA) will be adopted. Further, this
paper looks at determine the level of technical efficiency where as the input variables
comprise assets, equity and number of employees. The output variables used were
revenue and profit. The results from this study show that the majority of the Libya
companies are operating inefficiency. The overall (pooled) technical efficiency (TE)
estimate was 0.807. Whereas 69 percent of the firms were operate above the average,
and 31 percent below it. Only 2 firms scored full efficiency (TE = 1.00) while 24 others
were inefficient. Detailed analysis showed that majority of firms suffer over
employment of workers, overstatement of assets and equity and using obsolete
technology. The results also showed that larger firms are more efficient than the
smaller firms, and technical efficiency is not a consequence of firm’s age, and that
change of government policy has a strong effect on technical efficiency. That is, after
the government implemented the open door policy, technical efficiency scores gradually
increase.
Metadata
Item Type: | Article |
---|---|
Creators: | Creators Email / ID Num. Ahmad A. Eltaief, Abdullah UNSPECIFIED Mohamad, Saadiah UNSPECIFIED Kamaruddin, Badrul Hisham UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Analysis T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics |
Divisions: | Universiti Teknologi MARA, Shah Alam > Institute of Business Excellence (IBE) |
Journal or Publication Title: | Business and Management Quarterly Review (BMQR) |
UiTM Journal Collections: | Others > Business and Management Quarterly Review (BMQR) |
ISSN: | 2180-2777 |
Volume: | 1 |
Number: | 4 |
Page Range: | pp. 8-21 |
Keywords: | Libya; Technical efficiency; Data envelopment analysis, Construction firms; Scale of production; Optimal. |
Date: | 2010 |
URI: | https://ir.uitm.edu.my/id/eprint/875 |
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