A Spatial Econometric Analysis of Land Use Efficiency in Large and Small Municipalities

27 Pages Posted: 3 Feb 2017

See all articles by Gianni Guastella

Gianni Guastella

Fondazione Eni Enrico Mattei (FEEM)

Stefano Pareglio

Catholic University of the Sacred Heart of Milan

Paolo Sckokai

Universita Cattolica, Piacenza

Date Written: February 3, 2017

Abstract

We estimate the relationship between urban spatial expansion and its socio-economic determinants in Lombardy, the most urbanised region of Italy (and one of the most urbanized of the European Union), at the municipality level. Test results suggest that this relationship varies significantly among municipalities of different size and findings support the hypothesis that larger ones are more efficient in managing land take. In particular, we find that the marginal land consumption per new household is inversely related to the size of the municipality and we link this evidence to the fact that, since more space is often available, small municipalities pay less institutional attention to the issue of land take and consequently internalise less the environmental externalities. This evidence calls for a reflection on the role of planning policies and the effectiveness of undifferentiated measures to contain land take, especially in the case of Italy, where the municipalities, more than 99% of which have less than 50,000 inhabitants, decide on land use transformations.

Keywords: Land Take, City Size, Threshold Regression, Spatial Econometrics

JEL Classification: O18, Q15, R14

Suggested Citation

Guastella, Gianni and Pareglio, Stefano and Sckokai, Paolo, A Spatial Econometric Analysis of Land Use Efficiency in Large and Small Municipalities (February 3, 2017). FEEM Working Paper No. 3.2017. Available at SSRN: https://ssrn.com/abstract=2910884 or http://dx.doi.org/10.2139/ssrn.2910884

Gianni Guastella (Contact Author)

Fondazione Eni Enrico Mattei (FEEM) ( email )

C.so Magenta 63
Milano, 20123
Italy

Stefano Pareglio

Catholic University of the Sacred Heart of Milan ( email )

Milan, Milan
Italy

Paolo Sckokai

Universita Cattolica, Piacenza ( email )

Via Emilia Parmense 84
Piacenza, Piacenza 29122
Italy

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