This paper attempts to analyze the impact of knowledge and knowledge spillovers on regional total factor productivity (TFP) in Europe. Regional patent stocks are used as a proxy for knowledge, and TFP is measured in terms of a superlative index. We follow Fischer et. al (2008) by using a...

Classical spatial autoregressive models share the same weakness as the classical linear regression models, namely it is not possible to estimate non-linear relationships between the dependent and independent variables. In the case of classical linear regression a semi-parametric approach can be...

This paper presents a comparative assessment of two distinct urban growth modeling approaches. The first urban model uses a traditional Cellular Automata methodology, based on Markov transition chains to prospect probabilities of future urban change. Drawing forth from non-linear cell dynamics,...

In this paper an attempt is made to assess the hypothesis of re- gional club-convergence, using a spatial panel analysis combined with B-Splines. In this context, a 'convergence-club' is conceived as a group of regions that in the long-run move towards steady-state equilib- rium, approximated in...

This paper proposes the consistent method with general equilibrium models to measure use value and non-use value of large-scale change in environmental quality. First, we develop a general equilibrium model that parameters of the utility function with environmental quality as a dependent...

Based on the international agreements after the Kyoto Protocol, some projects to reduce the greenhouse gas emission have been promoted even in Japan. Therefore, policies such as various regulations and introduction of the environmental tax have been discussed, so people will be asked for big...

To explain economic impacts of flood damage due to climate change over time in Japan, this study develops a dynamic spatial computable general equilibrium model, and measures flood damage costs through some numerical experiments. It is inferred that the frequency and the intensity of flood are...

Spatial Filter for spatial autoregressive models like the spatial Durbin Model have seen a great interest in the recent literature. Pace et al. (2011) show that the spatial filtering methods developed by Griffith (2000) have desireable estimation properties for some parameters associated with...

This study proposes a consistent definition of natural disaster damage costs, i.e., equivalently, of natural disaster prevention benefits in accordance with general definition of benefits, Willingness to Pay, more concretely, Equivalent Variation, of any policy such as tax reforms,...