Sustainability is a key topic nowadays, mostly because in the last decade the pollution levels have reached an all-time high. National governments are searching for sustainable and environmentally friendly solutions to decrease the amount of pollution. This study is a cross-sectional study on 27...

Spatial effects are endemic in models based on spatially referenced data. The increased awareness of the relevance of spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics. Spatial econometrics focuses on the specification and...

Abstract A spatial vector autoregressive model (SpVAR) is defined as a VAR which includes spatial as well as temporal lags among a vector of stationary state variables. SpVARs may contain disturbances that are spatially as well as temporally correlated. Although the structural parameters are not...

L'objectif de cet article est d'analyser la dépendance spatiale dans les processus de convergence des régions européennes. D'une part nous appliquons les méthodes récemment développées de l'analyse exploratoire des données spatiales (Anselin, 1996) pour affiner la description de la...

Les méthodes de l'économétrie spatiale visent à traiter les deux grandes particularités des données spatiales : l'autocorrélation spatiale qui se réfère à l'absence d'indépendance entre observations géographiques et l'hétérogénéité spatiale qui est liée à la différenciation...

The main purpose of the article is to consider a important issue of spatial econometrics, which is a proper interpretation of structural parameters of econometric models with spatial autoregression. The problem will be considered basing on the example of the spatial SAR model. Another purpose of...

This paper presents various approaches dealing with heterogeneous reaction combined with interaction between neighboring units of observation developed in the spatial econometric literature, in the framework of cross-sectional models, and applied to the study of growth and convergence processes....

This paper reviews a number of conceptual issues pertaining to the implementation of an explicit "spatial" perspective in applied econometrics. It provides an overview of the motivation for including spatial effects in regression models, both from a theory-driven as well as from a data-driven...

¡°Spatial thinking¡± is increasingly popular in housing market studies and spatial dependence across properties has been widely investigated in the intra-city housing market. The contribution of this paper is to study the spatial dependence and spillover effect of house prices from...