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 paper is concerned with methods for analysing spatial data. After initial discussion on the nature of spatial data, including the concept of randomness, we focus most of our attention on linear regression models that involve interactions between agents across space. The introduction of...

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...

A number of procedures for generating interregional commodity by industry accounts have been developed recently (Canning and Zhi, 2005; Robinson and Liu, 2006; Jackson et al, 2006; Lindall, Olsen and Alward 2006). While each approach shares a common organizational framework, very little attention has been...