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    Determinants of Efficiency of Contractors in Hong Kong and China: Panel Data Model Analysis

    Source: Journal of Construction Engineering and Management:;2013:;Volume ( 139 ):;issue: 009
    Author:
    Jing Li
    ,
    Yat Hung Chiang
    ,
    Tracy N. Y. Choi
    ,
    King Fai Man
    DOI: 10.1061/(ASCE)CO.1943-7862.0000698
    Publisher: American Society of Civil Engineers
    Abstract: This study investigates how firm attributes affect construction contractors’ efficiency in Hong Kong and Mainland China, from the period 2004 to 2010. This study finds that the efficiency of Hong Kong contractors is associated with their managerial capability to control business costs and financial capability to manage both short-term and long-term capital liquidity. The efficiency of Mainland China contractors is also associated with their managerial capability to control business and administrative costs but not with their financial capability to maintain capital liquidity. Theoretically, this study shows that managerial and technological abilities are two common factors that transcend different institutions and systems. Hong Kong is the freest economy in the world, whereas the economy of Mainland China is more regulated. Methodologically, data envelopment analysis is adopted to establish the efficiency scores of contractors to be analyzed by panel data regression, which controls individual contractor’s return to scale. Few construction competitiveness studies have attempted this methodological process, which can be replicated for future research in other countries, at different stages of their economic development, to ensure equally useful measures for cross-country comparison and to promote the sustainable developments of their construction industries.
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      Determinants of Efficiency of Contractors in Hong Kong and China: Panel Data Model Analysis

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/58860
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    contributor authorJing Li
    contributor authorYat Hung Chiang
    contributor authorTracy N. Y. Choi
    contributor authorKing Fai Man
    date accessioned2017-05-08T21:39:59Z
    date available2017-05-08T21:39:59Z
    date copyrightSeptember 2013
    date issued2013
    identifier other%28asce%29co%2E1943-7862%2E0000710.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58860
    description abstractThis study investigates how firm attributes affect construction contractors’ efficiency in Hong Kong and Mainland China, from the period 2004 to 2010. This study finds that the efficiency of Hong Kong contractors is associated with their managerial capability to control business costs and financial capability to manage both short-term and long-term capital liquidity. The efficiency of Mainland China contractors is also associated with their managerial capability to control business and administrative costs but not with their financial capability to maintain capital liquidity. Theoretically, this study shows that managerial and technological abilities are two common factors that transcend different institutions and systems. Hong Kong is the freest economy in the world, whereas the economy of Mainland China is more regulated. Methodologically, data envelopment analysis is adopted to establish the efficiency scores of contractors to be analyzed by panel data regression, which controls individual contractor’s return to scale. Few construction competitiveness studies have attempted this methodological process, which can be replicated for future research in other countries, at different stages of their economic development, to ensure equally useful measures for cross-country comparison and to promote the sustainable developments of their construction industries.
    publisherAmerican Society of Civil Engineers
    titleDeterminants of Efficiency of Contractors in Hong Kong and China: Panel Data Model Analysis
    typeJournal Paper
    journal volume139
    journal issue9
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000698
    treeJournal of Construction Engineering and Management:;2013:;Volume ( 139 ):;issue: 009
    contenttypeFulltext
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