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    Determinants of Efficient Risk Allocation in Privately Financed Public Infrastructure Projects in Australia

    Source: Journal of Construction Engineering and Management:;2010:;Volume ( 136 ):;issue: 002
    Author:
    Xiao-Hua Jin
    DOI: 10.1061/(ASCE)CO.1943-7862.0000118
    Publisher: American Society of Civil Engineers
    Abstract: Risk allocation in privately financed public infrastructure projects, which are mainly referred to as public-private partnership (PPP) projects, is a challenging job due to the nature of incomplete contracting. An investigation into the mechanism that guides the formation of efficient risk allocation strategies is thus desirable. Drawing on the transaction cost economics and resource-based view of organizational capability, this paper has identified five main features of the transactions associated with risk allocation in PPP projects. They include partners’ risk management routine, partners’ risk management mechanism, partners’ cooperation history, risk management environmental uncertainty, and partners’ risk management commitment. For achieving cost efficiency, different risk allocation strategies may suit different conditions of the features. Accordingly, a theoretical framework and five hypotheses were proposed for testing. Data collected in an industrywide survey were analyzed using multiple linear regression technique. It was found that generally, the identified features are determinants in the decision-making process of efficient risk allocation. Therefore, the proposed theoretical framework provides both government and private agencies with not only a logical and holistic understanding of but also a support tool for decision making on risk allocation strategy in PPP projects. Study limitations and future research directions are also set out.
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      Determinants of Efficient Risk Allocation in Privately Financed Public Infrastructure Projects in Australia

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    http://yetl.yabesh.ir/yetl1/handle/yetl/58266
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    contributor authorXiao-Hua Jin
    date accessioned2017-05-08T21:39:01Z
    date available2017-05-08T21:39:01Z
    date copyrightFebruary 2010
    date issued2010
    identifier other%28asce%29co%2E1943-7862%2E0000123.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58266
    description abstractRisk allocation in privately financed public infrastructure projects, which are mainly referred to as public-private partnership (PPP) projects, is a challenging job due to the nature of incomplete contracting. An investigation into the mechanism that guides the formation of efficient risk allocation strategies is thus desirable. Drawing on the transaction cost economics and resource-based view of organizational capability, this paper has identified five main features of the transactions associated with risk allocation in PPP projects. They include partners’ risk management routine, partners’ risk management mechanism, partners’ cooperation history, risk management environmental uncertainty, and partners’ risk management commitment. For achieving cost efficiency, different risk allocation strategies may suit different conditions of the features. Accordingly, a theoretical framework and five hypotheses were proposed for testing. Data collected in an industrywide survey were analyzed using multiple linear regression technique. It was found that generally, the identified features are determinants in the decision-making process of efficient risk allocation. Therefore, the proposed theoretical framework provides both government and private agencies with not only a logical and holistic understanding of but also a support tool for decision making on risk allocation strategy in PPP projects. Study limitations and future research directions are also set out.
    publisherAmerican Society of Civil Engineers
    titleDeterminants of Efficient Risk Allocation in Privately Financed Public Infrastructure Projects in Australia
    typeJournal Paper
    journal volume136
    journal issue2
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000118
    treeJournal of Construction Engineering and Management:;2010:;Volume ( 136 ):;issue: 002
    contenttypeFulltext
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