PurposeThe purpose of this paper is to analyze the factors that determine Public Private Partnership (PPP) in infrastructure by using a unique data set on Private Participation in Infrastructure (PPI) for the period 1990‐2008. The study mainly focuses on developing countries, because these countries need PPP arrangement more urgently than any other group of countries.Design/methodology/approachFor the analysis, a range of advanced panel estimators, namely random‐Poisson, negative binomial, random‐generalized least square (GLS), random‐tobit, zero‐inflated Poisson (ZIP), are utilized to overcome the potential data‐related problems and for the robustness check of the estimated results.FindingsThe results of the analysis suggest that large size and relatively higher income markets attract more PPP projects. The empirical evidence also suggests that macroeconomic stability, quality of regulation and governance are important factors in determining PPP in the infrastructure. Surprisingly, however, the evidence fails to provide any strong support for the role of political factors and budget constraint in the process.Practical implicationsThe findings of this study will help the policymakers of developing countries in framing up such policies, so as to encourage more private firms to engage in infrastructure building through PPP.Originality/valueThe paper describes the first attempt of its kind to investigate the determinants of PPP in the context of developing countries.

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Purpose -The purpose of this paper is to provide an empirical evaluation of the impact of infrastructure development on industry-level productivity, output and efficiency in India over the period 1994-2006. Design/methodology/approach -The first stage, estimated total factor productivity (TFP) and technical efficiency of eight important industries. In the next stage, the effects of infrastructure were estimated on TFP, output, labor productivity and technical efficiency. Fully modified ordinary least squares procedure was utilized to generate consistent estimates of the relevant panel variables in the cointegrated frameworks. Findings -The results of this study are mixed. On the one hand, TFP, output and technical efficiency appear to be positively and largely affected by infrastructure. On the other hand, the effect of infrastructure on the labor productivity is somewhat negligible. In addition, the effects of information and communication technology on the industrial performance are found to be very weak. Originality/value -This is the first study of its kind in the related literature which attempts to investigate the role of infrastructure in industrial performance, using alternative frameworks, namely, growth accounting and production function approach. The paper uses appropriate techniques to account for the potential endogeneity of regressors as well as for multicollinearity among infrastructure variables.