The goal of this work is to investigate land-use change at the global scale over the long run particularly in the context of analyzing the fundamental drivers behind land-use related GHG emissions. For this purpose, we identify the most important drivers of supply and demand for land. On the...

This study develops a model of land use change in the Midwestern States of Ohio, Indiana, and Illinois. Given the emergence of spatial econometrics, three models are compared to assess the sensitivity of the estimates to alternative assumptions about the distribution of their errors. Projections...

This paper develops a dynamic, regional analysis of the effects of US and European biofuel mandates on land use, forestry stocks, and carbon emissions. The results suggest that these mandates may cause an additional 23-26 million hectares of forestland losses globally, but additional carbon...

We develop a dynamic forest sector in a Computable General Equilibrium model. There has been an increasing demand in using general equilibrium models to examine forests' role in climate change mitigation, global land competition and the energy sector. But modeling forestry sector in a general...

There is widespread recognition that forestry carbon credits can reduce the net emissions of carbon into the atmosphere. Designing systems to sequester carbon, however, has proven difficult due to a number of efficiency issues, including leakage. Leakage occurs when policy makers develop carbon...

We conduct a study to examine the effects of local development pressure and other factors on the value of urban-fringe land parcels. Multiple regression spatial models were estimated using parcel- level data from Delaware County, Ohio. The empirical results provide evidence that such factors as...