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A spatially determined production function to model the fiscal impacts of community development
Conference paper   Open access

A spatially determined production function to model the fiscal impacts of community development

Scott Lieske, D McLeod and R Coupal
Western Regional Science Association Annual Meeting, 49th (Sedona, United States, 21-Feb-2010–24-Feb-2010)
2010
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Abstract

Urban and Regional Planning spatial index fiscal impact model production model geographic information science
This paper develops a production function model to illustrate local government provision of public safety in Albany County, Wyoming, USA. The research extends previous production modeling of public services to include a spatial index representing pattern of development as an explanatory variable in the production function. The spatial index is based on the Moran's I measure of spatial autocorrelation. The index is calculated from observations of building values aggregated spatially within grid cells. The technique allows calculation of a global value for spatial autocorrelation which is used to integrate time series and panel data in the production function. Results suggest the pattern of residential land use is a statistically significant driver of local government spending on policing services. This research contributes to both a more richly specified production function and may contribute to the development of the next step in fiscal impacts modeling, spatially precise evaluation. The integration of time series and derived panel data may be useful in areas where cross-sectional data are limited or do not exist. Products derived from these proposed methods will be a useful addition in evaluations of community development and service provision as well as discussions concerning the costs of growth.

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