This paper analyses the effect of variety and intensity of knowledge on the innovation of regions. Employing data for Swedish functional regions, the paper tests the role of the variety (related and unrelated) and intensity of (1) internal knowledge generated within the region and also (2) external knowledge networks flowing into the region in explaining regional innovation, as measured by patent applications. The empirical analysis provides robust evidence that both the variety and intensity of internal and external knowledge matter for regions’ innovation. When it comes to variety, related variety of knowledge plays a superior role.

Public Private Partnership (PPP) is adopted throughout the world for delivering public infrastructure. Despite the worldwide experience has shown that PPP can provide a variety of benefits to the government, to fully gain them several critical aspects related to a PPP project need to be managed, among these the determination of the concession period. This paper provides a methodology to calculate the concession period as the best instant of time that creates a 'win win' solution for both the concessionaire and the government and allows for a fair risk sharing between the two parties. In other words, the concession period is able to satisfy the private and the government by guaranteeing for both parties a minimum profit, and, at the same time, to fairly allocate risks between parties. In order to take into account the uncertainty that affects the PPP projects, the Monte Carlo simulation was used. To demonstrate the applicability of the proposed model, a Build Operate Transfer (BOT) port project in Italy has been used as case study. (C) 2014 Elsevier Ltd. APM and IPMA. All rights reserved

Public-private partnerships (PPPs) are adopted throughout the world for delivering public infrastructure. Despite the attractiveness of the PPP structure, its implementation has not been without trouble due to multiple uncertainties embedded with PPP projects. Private investors often require some mitigation of these risks through government support. One of the most common forms of government support is minimum revenue guarantee (MRG). A real option-based model is developed that uses a new mechanism for setting the revenue guarantee level secured by the government, which balances the private sector's profitability needs and the public sector's fiscal management interests and uses the concept of fairness for structuring MRGs. The model uses Monte Carlo simulation to take into account the uncertainty. The model is applied to the projected 1 kilometre long 'Camionale di Bari' toll road that will link the port of Bari (located in Puglia, Southern Italy) with the existing road network without affecting the urban traffic. It was found that government support is often needed to make the project attractive to private investors and that the developed model can be, for both public and private sectors, a valid tool for defining the fair value of the minimum amount of revenue secured by the government