The objective of this study is to determine the effect of credit constraints on production for farm and nonfarm sole proprietorships. A propensity score-matching estimator is employed to provide unbiased estimates of the production impacts of being denied credit. The empirical results...

Using a panel of parcel-level data we estimate a hazard model and find strong evidence that the mere existence of an option to preserve farmland delays decisions to convert farmland to developed uses by about six years, a reduction in median conversion time of 12 to 43% depending on parcel size....

The objective of this study is to determine the effect of credit constraints on production for farm and nonfarm sole proprietorships. A propensity score-matching estimator is employed to provide unbiased estimates of the production impacts of being denied credit. The empirical results...

The need for models that forecast land use change spans many disciplines and encompasses many approaches. Pattern-based models were the first in which projections of change at specific locations in actual landscapes could be predicted. In contrast, recent economic models have modeled the...

Many studies have examined the effects of land use regulations on land prices and urban spatial form. Increasingly, jurisdictions have adopted incentive based mechanisms, such as purchase of development rights (PDR) programs, to manage the pace and pattern of urban growth and the conversion of...

Minimum lot size zoning requirements are a frequent policy tool used to restrict the density and location of residential development. Zoning regulations are typically instituted and adopted locally, often with limited input from surrounding jurisdictions. Autonomous local land use regulations...

The objective of this study is to explain the determinants of farm and non-farm sole proprietorship households access to credit as well as the extent their credit constraints impact their value of production. A propensity, kernel-based matching estimator was employed to provide unbiased...