In EU countries, knowledge on spatial disparities in overall price level is extremely scarce. When interregional price disparities are large, however, nominal income measures fail to assess prosperity and the catch-up processes of regions. Despite its importance for regional policy, no official regional price statistic is available as a standard. On account of this gap, this paper deals with th...

This paper aims at evaluating the impacts of climate change on land use patterns in Brazil. To this purpose, we specify and estimate an econometric land use model to assess how climate variables affect land allocation decisions according to three types of use: cropland, pasture and forestland. Based on the econometric model estimates, we then simulate how farmers will adapt their land use choic...

In this paper, a combined cross-section and time-series econometric analysis of Spanish regional growth is presented. This analysis operates with a database where the number of cross-sectional units is small for a typical panel of data, while the time dimension is clearly dominant. First, using recent techniques in the econometric analysis of panel data (both panel unit root and panel co-integr...

Local Indicators of Spatial Aggregation (LISA) can be used as objectives in a multicriteria framework when highly autocorrelated areas (hot-spots) must be identified and geographically located in complex areas. To do so, a Multi-Objective Evolutionary Algorithm (MOEA) based on SPEA2 (Strength Pareto Evolutionary Algorithm v.2) has been designed to evaluate three different fitness functions (fin...

Spatial econometrics has been an ongoing research …eld. Recently, it has been extended to the panel data settings. The spatial panel data can allow cross sectional dependence as well as state dependence, and it can also enable researchers to control for unknown heteorgeneity. This paper reports some recent developments in the econometric speci…cation and estimation on spatial panel data models....

In this paper we endogenously group 311 U.S. cities by using dynamic clustering techniques. Then, we try to determine what the economic determinants of clustering are. In so doing, we use a spatial econometric model that disentangles the effect of intercity interactions operating through the input-output matrix from the effect of all others interactions. Preliminary incomplete version Do not ci...

The frequent occurrence of meteorological disasters in China has caused huge losses to agriculture. Risk assessment serves as a bridge from disaster crisis management risk management. Therefore, it is necessary carry out refined comprehensive typical areas. However, several limitations remain the loss research, such too coarse resolution and single indicator. Additionally, less research examine...