Evaluation of cost efficiency and influencing factors of construction firms using stochastic frontier approach

博士 === 國立交通大學 === 土木工程系所 === 101 === Construction firms require a large cash flow, thereby creating a significant financial leverage. Therefore, identifying a highly effective cost efficiency model is essential for construction firms, especially under the pressure of competition in today's glob...

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Main Authors: Wu, Jih-Shong, 吳繼熊
Other Authors: Dzeng, Ren-Jye
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/48299374439027599741
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spelling ndltd-TW-101NCTU50150542016-07-02T04:20:27Z http://ndltd.ncl.edu.tw/handle/48299374439027599741 Evaluation of cost efficiency and influencing factors of construction firms using stochastic frontier approach 隨機邊界法應用於營建公司成本效率及影響因子之研究 Wu, Jih-Shong 吳繼熊 博士 國立交通大學 土木工程系所 101 Construction firms require a large cash flow, thereby creating a significant financial leverage. Therefore, identifying a highly effective cost efficiency model is essential for construction firms, especially under the pressure of competition in today's global market. In this study, 26 Taiwan listed construction companies are examined using the Stochastic Frontier Analysis (SFA). By using the regression model and the translog cost function to evaluate the cost inefficiency, equipment cost, and firm scale. The main findings include: (1) the cost efficiency showed that there was still a room for improvement, (2) appropriate financial leverage increases cost efficiency and capital, (3) subcontracting reduces labour costs, (4) larger firms can be more cost efficient, (5) reducing equipment costs increases cost efficiency, and (6) real estate developers are more cost efficiency. It is hoped that through the findings of this study, we can help construction firms to strategically adjust the management of their firm and improve cost efficiency. Dzeng, Ren-Jye 曾仁杰 2013 學位論文 ; thesis 95 zh-TW
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language zh-TW
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description 博士 === 國立交通大學 === 土木工程系所 === 101 === Construction firms require a large cash flow, thereby creating a significant financial leverage. Therefore, identifying a highly effective cost efficiency model is essential for construction firms, especially under the pressure of competition in today's global market. In this study, 26 Taiwan listed construction companies are examined using the Stochastic Frontier Analysis (SFA). By using the regression model and the translog cost function to evaluate the cost inefficiency, equipment cost, and firm scale. The main findings include: (1) the cost efficiency showed that there was still a room for improvement, (2) appropriate financial leverage increases cost efficiency and capital, (3) subcontracting reduces labour costs, (4) larger firms can be more cost efficient, (5) reducing equipment costs increases cost efficiency, and (6) real estate developers are more cost efficiency. It is hoped that through the findings of this study, we can help construction firms to strategically adjust the management of their firm and improve cost efficiency.
author2 Dzeng, Ren-Jye
author_facet Dzeng, Ren-Jye
Wu, Jih-Shong
吳繼熊
author Wu, Jih-Shong
吳繼熊
spellingShingle Wu, Jih-Shong
吳繼熊
Evaluation of cost efficiency and influencing factors of construction firms using stochastic frontier approach
author_sort Wu, Jih-Shong
title Evaluation of cost efficiency and influencing factors of construction firms using stochastic frontier approach
title_short Evaluation of cost efficiency and influencing factors of construction firms using stochastic frontier approach
title_full Evaluation of cost efficiency and influencing factors of construction firms using stochastic frontier approach
title_fullStr Evaluation of cost efficiency and influencing factors of construction firms using stochastic frontier approach
title_full_unstemmed Evaluation of cost efficiency and influencing factors of construction firms using stochastic frontier approach
title_sort evaluation of cost efficiency and influencing factors of construction firms using stochastic frontier approach
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/48299374439027599741
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