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Model for predicting the success of public-private partnership infrastructure projects in developing countries: a case of Ghana

机译:预测发展中国家公私伙伴关系基础设施项目成功的模型:加纳的案例

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This paper develops a practical tool for predicting public-private partnership (PPP) project success in developing countries using Ghana as example. The predictive model examines the causal relationship between CSFs and success criteria for PPP projects. First, a conceptual model for PPP projects success was proposed. Second, the theoretical model was tested by means of a questionnaire survey with experienced PPP experts. Using the regression analysis technique, a predictive model for PPP project success was developed. The regression model shows three best predictors of PPP project success in Ghana, these include; appropriate risk allocation and sharing, sound economic policy and right project identification. Various statistical tests including ANOVA, tolerance and variance inflation factor (VIF), homoscedasticity and Durbin-Watson tests confirmed the validity and goodness of fit for the model. The substantive model will enable PPP practitioners including designers, public clients and engineers in Ghana and other neighbouring developing countries particularly sub-Saharan Africa to predict the likely success of their PPP projects prior to their implementations.
机译:本文开展了一种实用的工具,用于预测使用加纳的发展中国家的公私合作伙伴关系(PPP)项目成功。预测模型检查了PPP项目CSFS与成功标准之间的因果关系。首先,提出了一个PPP项目成功的概念模型。其次,通过与经验丰富的PPP专家调查调查测试的理论模型进行了测试。利用回归分析技术,开发了一种PPP项目成功的预测模型。回归模型在加纳显示了PPP项目成功的三个最佳预测因子,其中包括;适当的风险分配和共享,良好的经济政策和正确的项目识别。各种统计测试包括ANOVA,耐受性和差异通胀因子(VIF),同性恋和Durbin-Watson测试证实了拟合模型的有效性和良好。实质性模式将使PPP从业者在加纳和其他邻近的发展中国家和其他邻国的邻近的发展中国家提供PPP从业者,特别是撒哈拉以南非洲,以预测其在实施之前的PPP项目的可能成功。

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