use. We developed a spatial agricultural groundwater extraction model by coupling a hydrological model and a contamination … migration model. We find that the optimal groundwater extraction is reduced if spatial interactions are incorporated, and that … spatial heterogeneities such as crop varieties and soil types affect individual extraction. The socially optimal paths of …

two cropping systems at the farm level rely on spatial isolation measures-separation distances and/or buffer zones …. However, the interaction of practical measures and costs of spatial isolation with the farmer’s economic incentive to plant a … feasibility of the implementation of spatial coexistence measures. Using spatial geo-referenced data from the actual agricultural …

distance (e.g. Loomis 2000) – a phenomenon we refer to as “spatial value decay”. This paper begins a new strand of the … using a reserve design approach that considers demand-side factors is large. Finally, we find that spatial value decay …. When spatial value decay is present because people are simply unaware of environmental resources farther away from where …

open access parks and green spaces. For every 10% increase in the share of green space and park area near a house, its … value, however due to spatial multicollinearity the results were mixed. -- Hedonic Regression ; Green Spaces ; Urban Parks …

set of geo-tagged photos shared in internet communities serves as a proxy for urbanity. From the spatial pattern of house …

A spatial Durbin model (SDM) is developed to estimate the open space proximity values in Fresno-Clovis metropolitan … out of equilibrium, leads to biased results. In addition, our findings suggest that ignoring spatial dependence and … spillover pricing effects presents a potential bias in estimating open space amenity values. The SDM, which considers spatial …