This study investigates the costs of subsidies for land retention and conversion, in addition to a policy that combines the incentives. A Markov model of forest and agricultural land use is estimated for the U.S. South Central region and used to simulate retention and conversion policies....

When and if the United States chooses to implement a greenhouse gas reduction program, it will be necessary to decide whether carbon sequestration policies — such as those that promote forestation and discourage deforestation — should be part of the domestic portfolio of compliance...

Changes in the use of land in the United States produce significant economic and environmental effects with important implications for a wide variety of policy issues, including protection of wildlife habitat, management of urban growth, and mitigation of global climate change. In contrast to...

We conduct a national-scale study of the determinants of agricultural land values to better understand how current farmland prices are influenced by the potential for future land development. The theoretical basis for the empirical analysis is a spatial city model with stochastic returns to...

Economic theory predicts that individual migration decisions for working-age adults will depend on area differences in wages, housing costs, and amenities. While the importance of wages and amenities is well-established from previous empirical studies, evidence regarding housing costs is far...

When and if the United States chooses to implement a greenhouse gas reduction program, it will be necessary to decide whether carbon sequestration policies — such as those that promote forestation and discourage deforestation — should be part of the domestic portfolio of compliance...

We conduct a national-scale study of the determinants of agricultural land values to better understand how current farmland prices are influenced by the potential for future land development. The theoretical basis for the empirical analysis is a spatial city model with stochastic returns to...