Eg. Irwin et J. Geoghegan, Theory, data, methods: developing spatially explicit economic models of land use change, AGR ECO ENV, 85(1-3), 2001, pp. 7-23
Questions of land use/land cover change have attracted interest among a wid
e variety of researchers concerned with modeling the spatial and temporal p
atterns of land conversion and understanding the causes and consequences of
these changes. Among these, geographers and natural scientists have taken
the lead in developing spatially explicit models of land use change at high
ly disaggregate scales (i.e. individual land parcels or cells of the landsc
ape). However, less attention has been given in the development of these mo
dels to understanding the economic process - namely, the human behavioral c
omponent that underlies land use change. To the extent that researchers are
interested in explaining the causal relationships between individual choic
es and land use change outcomes, more fully articulated economic models of
land use change are necessary.
This paper reviews some of the advances that have been made by geographers
and natural scientists in developing these models of spatial land use chang
e, focusing on their modeling of the economic process associated with land
use change. From this vantage point, it is argued that these models are pri
marily "ad hoc," developed without an economic theoretical framework, and t
herefore are susceptible to certain conceptual and estimation problems. Nex
t, a brief review of traditional economic models of land use determination
is given. Although these models are developed within a rigorous economic fr
amework, they are of limited use in developing spatially disaggregate and e
xplicit models of land use change. Recent contributions from economists to
the development of spatially explicit models are then discussed, in which a
n economic structural model of the land use decision is developed within a
spatially explicit framework and from which an estimable model of land use
change is derived. The advantages of this approach in terms of simulating p
olicy scenarios and addressing econometric issues of spatial dependency and
endogeneity are discussed. We use some specific examples from ongoing rese
arch in the Patuxent Watershed, Maryland, USA. to illustrate our points. Th
e paper concludes with some summary remarks and suggestions for further res
earch. (C) 2001 Elsevier Science B.V. All rights reserved.