This study models the relationship between regional growth and agricultural land development in the Northeast United States. A system of simultaneous equations is estimated using three-stage-least squares on county-level data. Results indicate that regional growth puts upward pressure on...

This study models the relationship between regional growth and agricultural land development in the Northeast United States. A system of simultaneous equations is estimated using three-stage-least squares on county-level data. Results indicate that regional growth puts upward pressure on...

This study develops a five-equation simultaneous system in a partial lag-adjustment growth-equilibrium framework. It improved previous models in the growth-equilibrium tradition by explicitly modeling local government and regional income in the growth process. It also explicitly modeled gross...

This study focuses on testing the relationship between income inequality and growth within U.S. counties, and the channels through which such effects are observed. Based on a system of equations estimation, the empirical results confirm the hypotheses that income inequality has a growth...

A recursive system of ordered self assessed health (SAH) and a binary indicator of obesity were used to investigate the impact of socioeconomic and environmental factors on health and obesity in the predominantly rural Appalachian state of West Virginia. Behavioral Risk Factor Surveillance...

This study introduces a spatial simultaneous growth model to examine the impact of regional growth on agricultural land development. County level data on growth factors, land values, farmland density and a set of exogenous variables are used from 12 Northeast states. Results indicate that...

In this study, a spatial growth equilibrium model of business growth is developed and empirically estimated by Generalized Spatial Two-Stage Least Squares (GS2SLS) estimator using cross-sectional data from Appalachian States counties for 1990-2000. Beside the existence of spatial spillover...

A spatial panel data analysis at the county level examines how individual food consumption, recreational, and lifestyle choices ? against a backdrop of changing demographic, built environment, and policy factors ? leads to obesity. Results suggest that obesity tends to be spatially autocorrelated;...