Community Rating System (CRS) incentivizes investments in risk reduction above NFIP standards using discounts on insurance premiums. These discounts are cross-subsidized by increasing premiums in non-CRS communities. We examine the distribution of these subsidies and find that redistribution does occur, but the gains and losses are not economically large with 95% of households gaining or losing no more than 0.3% of household income. We also examine their relationship with other community characteristics and find that the strongest predictor of premium reductions is the underlying flood risk level within the community. Thus, CRS appears to reduce the cost of living in the riskier communities.

Agriculture in Sub-Saharan Africa is regularly threatened by the occurrence of weather shocks. We wonder whether the way farmers respond to shocks can affect land use and induce deforestation. Reviewing the existing literature, we found that this question has only been marginally studied. Drawing from the adaptation and land-use change literatures, we then expose the mechanisms through which weather shocks can push farmers to induce land-use change, or conversely to foster conservation. As farmers cope with shocks, their responses can cause degradations in ecosystems which could, in the long term, encourage deforestation and land-use change. To prepare for the next growing season, or adapt to climate variability and risk in the longer term, farmers also make structural adjustments in their farm and land-use decisions, which may lead to changes in land holding. They also resort to adaptation strategies that can indirectly affect land-use decisions by affecting households’ resources (labor, income).

This study examines the relationship between urban forests and household income and population density in the 149 cities with populations over 40,000 in nine southeastern states. Our empirical results show that urban forest percentage across the cities has characteristics of the environmental Kuznets curve. We find that household income around $39,000 is a threshold that changes the relationship between income and urban forest coverage from negative to positive, whereas the impact of population density on urban forests is just the opposite, from positive to negative when population density is around 180 persons per square kilometer.

The impact of an urban growth boundary (UGB) on land development in Knox County, TN is estimated via two-stage probit and neural-network models. The insignificance of UGB variable in the two-stage probit model and more visible development patterns in the western part of Knoxville and the neighboring town of Farragut during the post-UGB period in both models suggest that the UGB has not curtailed urban sprawl. Although the network model is found to be a viable alternative to more conventional discrete choice approach for improving the predictability of land development, it is at the cost of evaluating marginal effects.

The Nariva Swamp on the island of Trinidad in the Caribbean is being degraded due to increasing human activity. However, its conservation is desirable, as it is an internationally recognized wetland. The study examined an ecotourism project, with an emphasis on community participation, as a conservation approach to the Swamp, via benefit–cost analysis, where the benefits of conservation were measured by contingent valuation. Contingent valuation showed that the residents of Trinidad were willing to pay an average of $56 for conserving the Swamp. The analysis also showed that ecotourism represents an economically feasible use of ecologically fragile resources of this wetland.

This study estimates the contribution of both urban-rural fringe location and lake proximity on residential property values in three upstate counties of South Carolina through estimation of spatial hedonic housing price models. Location in the urban fringe and the urban–rural interface are found to have a positive impact on residential housing values relative to either urban or more rural locations. Lakes in the upstate contribute positively to housing values to the extent that the house has a view of a lake, lake access, or lake frontage.

Hurricanes have caused substantial damage in parts of the U.S. Damages are increasing, perhaps as part of a natural cycle or perhaps in part related to global warming. This paper examines the economic damages that hurricanes cause to U.S. agriculture, estimates the increased damage from an increase in hurricane frequency/intensity, and examines the way that sectoral reactions reduce damages. The simulation results show that hurricanes and associated adjustments cause widespread damage and redistribute agricultural welfare. We find that crop mix shifts of vulnerable crops from stricken to nonstricken regions significantly mitigate hurricane damages.

In this study we apply a spatial conditional logit model to determine factors influencing land cover change in three contiguous counties in West Georgia between 1992 and 2001 using point (pixel) based observations of land characteristics. We found that accessibility to population and population growth affect not only development of rural lands and transition between agricultural and forestry uses, but also influence changes between forest types. The model could be used to project land use–land cover change at watershed or subwatershed level and thus serve as a valuable tool for county and city planners.

In the last settler's syndrome, each new settler wants the area to remain as it was on their arrival. Newcomers' preferences often differ from long-term residents, and conflicts arise. To explore land use issues among various groups, a survey of opinions on mountain views was developed and administered to Watauga County residents in western North Carolina. Watauga County provides an interesting case study, because it is a growing area with an influx of newcomers along with long-time residents. The results suggest that agreements can be achieved on some land use issues, whereas disagreements will arise on others.

Cet article propose une analyse du zonage à partir d'une modélisation explicite des économies d'agglomération et des coûts de congestion. La ville est considérée comme un ensemble de zones homogènes au sein desquelles interviennent des économies d'agglomération. Au sein de chaque zone, les firmes et les ménages sont en concurrence pour occuper le sol. Le transport pour aller d'une zone à l'autre est soumis à de la congestion. L'interaction entre les économies d'agglomération et les coûts de congestion peut engendrer un équilibre de marché pour lequel les firmes sont trop concentrées en centre-ville ou bien trop dispersées. En cas de concentration trop faible, il est montré qu'un seul instrument fiscal peut rétablir l'efficacité. Au contraire, si la concentration est trop forte, il est possible d'utiliser une régulation quantitative simple. Toutefois, l'usage pratique de ces instruments demeure délicat du fait de la sensibilité de l'organisation urbaine optimale à certains paramètres difficiles à estimer. Le reste de l'analyse propose un certain nombre de variations autour du modèle initial.