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...

This paper provides quantitative estimates of the effect of proximity to fast food restaurants and grocery stores on obesity in urban food markets. Our empirical model combined georeferenced micro data on access to fast food restaurants and grocery stores with data about salient personal...

In the vicinity of a city, farmers are confronted with increasing agricultural land prices and rents along the rural-urban gradient, but they concurrently enjoy the advantages associated with proximity to a larger and wealthier consumer base. We hypothesize that farmers transition from...

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

Inuential individuals in a social network environment are important in shaping preferences for new products. In this study, we adopt an incentive compatible choice-based conjoint analysis approach to generate data on the introduction of a new ice cream product. We use spatial econometric methods...

The inclusion of spatial correlation of house price in hedonic pricing model may produce better marginal implicit price estimate(s) of the environmental variable(s) of interest. Most applications where a spatial econometric model is applied to the estimation of a hedonic property value model...

This study aims to analyze the management of the Specific Allocation Fund (DAK). The three largest DAK-recipient sectors are the focus of the study : education, health, and roads infrastructure. The study sample areas are four districts. This paper was compiled based on the results of in-depth...