This paper aims to verify the existence of relationship between environmental degradation and economic growth, based on the Environmental Kuznets Curve hypothesis for the Brazilian Cerrado in 2008. The deforested area of the Cerrado’s municipalities was defined as dependent variable and...

The objective of this study is to develop spatially-explicit choice model and investigate its validity and applicability in CA studies. This objective is achieved by applying locally-regressed geographically weighted regression (GWR) and GIS to survey data on hypothetical dogrun facilities...

Replaced with revised version of paper 08/06/10.

Panel data are used in almost all subfields of the agricultural economics profession. Furthermore, many research areas have an important spatial dimension. This article discusses some of the recent contributions made in the evolving theoretical and empirical literature on spatialeconometric...

Auf Grundlage der garantierten Einspeisevergütungen des Erneuerbaren-Energien-Gesetzes sind in den vergangenen Jahren vermehrt Biogasanlagen auf Basis landwirtschaftlichen Energiepflanzenanbaus errichtet worden. Der vorliegende Beitrag prüft, ob die gestiegene Biogaserzeugung...

Panel data are used in almost all subfields of the agricultural economics profession. Furthermore, many research areas have an important spatial dimension. This article discusses some of the recent contributions made in the evolving theoretical and empirical literature on spatial econometric...

In the 2009 Copenhagen Accord, China agreed to slash its carbon intensity (carbon dioxide emissions/GDP) by 40% to 45% from the 2005 level by 2020. We assess whether China can achieve the target under the business-as-usual scenario by forecasting its emissions from energy consumption. Our...

We suggest a new class of cross-sectional space-time models based on local AR models and nearest neighbors using distances between observations. For the estimation we use a tightness prior for prediction of regional GDP forecasts. We extend the model to the model with exogenous variable model...

We suggest a new class of cross-sectional space-time models based on local AR models and nearest neighbors using distances between observations. For the estimation we use a tightness prior for prediction of regional GDP forecasts. We extend the model to the model with exogenous variable model...