A comparison of residential and commercial real estate values in polycentric cities Aurélien DECAMPS KEDGE Business School

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Presentation transcript:

A comparison of residential and commercial real estate values in polycentric cities Aurélien DECAMPS KEDGE Business School Frédéric GASCHET, Guillaume POUYANNE, Stéphane VIROL GRETHA UMR CNRS 5113 University Montesquieu Bordeaux IV European Real Estate Society 21st Annual Conference 25th-28th June 2014

Presentation  Background  Aim of the paper  Method and Data  Results  Conclusion 2ERES Conference 2014

Background ERES Conference  The « polycentric city » :  Emergence of subcenters (Giuliano and Small, 1991; Cervero and Wu, 1997; Bogart and Anderson, 2001)  Economically specialized (Gaschet, 2001; Bingham and Kimble, 1995)  Two types of subcenters (Muniz et al., 2009) : Suburbanization of jobs - Integration of remote medium-sized city

Background ERES Conference  Density polycentric gradients :  A growing impact of subcenters on :  Residential density (McMillen and McDonald, 1998)  Job density (Small and Song, 1994)  The price gradient :  Impact of centralities on real estate prices  Residential prices: job accessibility and/or amenities (Ommeren et al, 1997; Brueckner et al, 1999)  Commercial prices: firms’ proximity and agglomeration effects (Anas, Kim, 1996; Sivitanidou, 1996; Sasaki, Mun, 1997)  The form of the gradient: spatial pattern of real estate prices in a polycentric city

Background ERES Conference Price gradient regarding type of subcenters Housing prices Distance to the CBD SubcenterCBD Strong complementarity Strong Substituability Medium Complementarity

Aim of the paper ERES Conference  Comparison of the pattern of residential and commercial real estate prices in two french polycentric cities : Bordeaux and Lyon  Do centralities have the same impact on residential and commercial prices or is there a differenciation between residential and economic centralities?  The form of the gradient  Complementarity vs. Substituability  Spatial influence of each type centralities

Method and Data ERES Conference  A 3-steps approach : 1. Identification of subcenters 2. Hedonic model of housing and commercial prices in two polycentric cities 3. Semi parametric regression to estimate the form of the price gradient (Geniaux, Napoleone, 2008; McMillen, Redfearn, 2010)  1. Identification of subcenters  Giuliano and Small (1991)’s criterion : job density and minimum number of jobs (Geolocalized Data from INSEE)

ERES Conference 20148

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Method and Data ERES Conference  2. A log linear hedonic model of housing and commercial prices  Transaction prices and intrinsic characteristics: PERVAL ( )  Location attributes (geolocalized database, INSEE and IGN)  Median income, proximity with transport infrastructures, schools and universities, commercial and industrial areas, airport.  3 Polycentric specifications  Distance to CBD and each subcentres  Distance to CBD and the nearest subcentre  Genaralized job accessibility  3. Semi parametric regression: GAM (General Additive Model)

Results ERES Conference  Polycentric hedonic model  Intrinsic characteristics and location attributes significant with the expected signs  Strong impact of CBD : amenities + job accessibility  Subcentres:  Similarity between adjusted R² of polycentric and genralized accessibility models  Strong impact of Arcachon for Bordeaux  Residential prices : significant impact of several subcenters (number of jobs and specialization allowing complementarity with the CBD) and nearest subcenter  Commercial prices : more selective impact of subcenters (job density and metropolitan functions)

ERES Conference Houses - Bordeaux Houses - Lyon Appt - Bordeaux Appt - Lyon Dist_CBD

ERES Conference Houses - Bordeaux Houses - Lyon Appt - Bordeaux Appt - Lyon Dist_nearestSC

ERES Conference Commercial - Bordeaux Commercial - Lyon Commercial - Bordeaux Commercial - Lyon Dist_CBD Dist_nearestSC

Conclusion ERES Conference  The polycentric structure of real estate prices is confirmed in the two cities  Differenciated impact of centralities:  Residential prices: complementarity, mix of localized amenities and job accessibility  Selectivity of commercial prices and substituability  Different spatial extent between Bordeaux and Lyon, residential and commercial prices  Research perspectives  Segmentation of sample between the several break-points of the price gradients to sharpen the analysis of spatial patterns of real estate prices  Comparison with other metropolitan areas with different size (Ex: Paris)