Quantifying and modelling industrial and commercial land-use demand in France

Eda Ustaoglu (), Filipe Batista e Silva and Carlo Lavalle ()
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Eda Ustaoglu: European Commission-Joint Research Centre, Institute for Environment and Sustainability, Sustainability Assessment Unit
Carlo Lavalle: European Commission-Joint Research Centre, Institute for Environment and Sustainability, Sustainability Assessment Unit

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2020, vol. 22, issue 1, No 24, 519-549

Abstract: Abstract Determinants of industrial/commercial land uses are controversial, and few studies have so far considered the factors influencing industrial and commercial developments. The understanding of such dynamics is important to simulate future land-use demand, which is an essential input for land-use modelling applications. The rigorous estimation of demand for industrial and commercial land is also important to support planning policies and decisions, which aim at allocating scarce land resources efficiently. This study uses regional data from 1990 and 2000 to investigate potential driving factors of industrial/commercial land demand for France, and 2012 data for model validation concerning the projections of land demand. A static model and a change model are specified based on the supply and demand relationship of the regional industrial/commercial land market in France. The estimated models indicate that regional characteristics of location and area, mineral resources and infrastructure, and socio-economic factors are critical to understanding industrial/commercial land developments. From regression analysis, static models show better performance over land-use change models in both the estimation and model validation stages. The change models are biased towards unobserved variables and time-lag effects of the changes in explanatory variables. The use of regression approaches is a valuable tool to explore the factors underlying industrial and commercial expansion at regional level, but their usage for long-term projections is subject to high uncertainties.

Keywords: Industrial and commercial land; Land-use demand; Regression analysis; Model validation; France (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10668-018-0199-7

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