Abstract

In recent years there has been a heightened interest in the management of local growth in general and in land use planning specifically. Regional economic theory suggests that local government has little control over the amount of growth that occurs. The model presented in this paper is a framework for (a) identifying the economic factors affecting the demand for urban land and (b) developing conditional forecasts of the demand for urban land.

Highlights

  • An Approach To Forecasting TheIn recent years there has been a heightened interest in the management of local growth in general and in land use planning

  • Regional economic theory suggests that local government has little con trol over the amount of growth that occurs

  • The data for the dependent variables was obtained by using city lot maps in conjunction with the city directory

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Summary

An Approach To Forecasting The

In recent years there has been a heightened interest in the management of local growth in general and in land use planning . Local government decision makers would like to know what economic factors affect the local demand for land as well as what growth is likely to occur in the future. If local government decision makers have reliable growth forecasts, they can use what policy instruments they have to manage the growth that is expected to occur. Regional economic theory suggests that local government has little con trol over the amount of growth that occurs. This depends on the local and external demand for local production, which basically is in the hands of private decision makers. If local authorities have reliable forecasts of the demand for urban land they can formulate plans to effectively manage urban growth. The model presented in this paper is a framework for(a)identifying the economic factors affecting the demand for urban land and (b) developing conditional forecasts of the demand for urban land

THE MODEL
OF THE MODEL
Public Area Equation
FORECASTING MODELS OF THE INDEPENDENT VARIABLES
ESTIMATED EQUATIONS OE THE INDEPENDENT VARIABLES
Auto Registration Equation
MODEL STRENGTHS AND WEAKNESSES
Full Text
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