The marked increase in the availability of spatial data has forced researchers engaged in
land use modeling to directly confront the question of space and the theoretical and …

In this paper, I give a personal view on the development of the field of spatial econometrics
during the past 30 years. I argue that it has moved from the margins to the mainstream of …

Soil organic carbon plays a major role in the global carbon budget, and can act as a source
or a sink of atmospheric carbon, thereby possibly influencing the course of climate change …

Agricultural land conversion is resulting from ongoing complex interaction between the
physical environment, policy settings and socio-economic factors. Case studies of the …

Modeling individual choices is one of the main aim in microeconometrics. Discrete choice
models have been widely used to describe economic agents' utility functions and most of …

Forest land use is often associated with the protection of water resources from contamination
and the reduced cost of drinking water supply. This study attempted to measure the value of …

Predictions of future land use areas are an important issue as land use patterns significantly
impact environmental conditions (biodiversity, water pollution, soil erosion, and climate …

Interaction between mitigation and adaptation is a key question for the design of climate
policies. In this paper, we study how land use adaptation to climate change impacts land use …

Electric vehicles (EVs) are predicted to increase in market share as auto manufacturers
introduce more fuel efficient vehicles to meet stricter fuel economy mandates and fossil fuel …

This paper illustrates the impacts of spatial data aggregation on the analysis of urban
development. Spatial econometric methods are used to control for spatial autocorrelation in …