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...

Numerous attempts have been made to evaluate economic impacts by climate change, and the evaluation method can be classified into two approaches. One is a partial equilibrium approach and the other is a general equilibrium approach. The former method includes a travel cost method (TCM) and a...

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...

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...