TY - JOUR
T1 - Model for predicting the success of public-private partnership infrastructure projects in developing countries : a case of Ghana
AU - Osei-Kyei, Robert
AU - Chan, Albert P. C.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Ghana
KW - building
KW - developing countries
KW - infrastructure (economics)
KW - public-private sector cooperation
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:49910
U2 - 10.1080/17452007.2018.1545632
DO - 10.1080/17452007.2018.1545632
M3 - Article
SN - 1752-7589
SN - 1745-2007
VL - 15
SP - 213
EP - 232
JO - Architectural Engineering and Design Management
JF - Architectural Engineering and Design Management
IS - 3
ER -