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Flooding risks and housing markets: a spatial hedonic analysis for La Plata City

Published online by Cambridge University Press:  06 January 2016

Mariano Javier Rabassa
Affiliation:
Facultad de Economía and Facultad de Ciencias Fisicomatemáticas e Ingeniería, Pontificia Universidad Católica Argentina, 1600 Av. Alicia Moreau de Justo, Edificio San José, C1107AAZ, Buenos Aires, Argentina. E-mail: [email protected]
Juan Ignacio Zoloa
Affiliation:
Departamento de Economía, Universidad Nacional de La Plata, La Plata, Argentina. E-mail: [email protected]

Abstract

On 2 April 2013 a major flood struck the City of La Plata, Argentina, killing 89 people and displacing thousands of others. That event, the worst flood the city has suffered in the past 100 years, prompted plans for a new hydraulic infrastructure. Although such an investment is necessary, little is known about its benefits. This paper intends to shed some light on this issue by estimating the willingness to pay to avoid the risk of experiencing a flooding event. For this purpose, we have taken thousands of real estate prices in the La Plata Metropolitan Area and combined them with a high-resolution flood risks map to estimate spatial hedonic price models. The results show significant price discounting for properties in flood-prone areas.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2016 

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References

Anselin, L. (1988), Spatial Econometrics: Methods and Models, Dordrecht: Kluwer Academic Publishers.Google Scholar
Anselin, L. and Bera, A.K. (1998), ‘Spatial dependence in linear regression models with an introduction to spatial econometrics’, in Ullah, A. and Giles, D.E. (eds), Handbook of Applied Economic Statistics, New York: Marcel Lekker, pp. 237289.Google Scholar
Anselin, L. and Florax, R.J.G.M. (1995), ‘Small sample properties of tests for spatial dependence in regression models: some further results’, in Anselin, L. and Florax, R. (eds), New Directions in Spatial Econometrics, Berlin: Springer, pp. 2174.Google Scholar
Bartosova, A., Clark, D., Novotny, V., and Taylor, K.S. (2000), ‘Using GIS to evaluate the effects of flood risk on residential property values’, Unpublished manuscript, Marquette University.Google Scholar
Bin, O. and Kruse, J.B. (2006), ‘Real estate market response to coastal flood hazards’, Natural Hazards Review 7(4): 137161.Google Scholar
Bin, O. and Polasky, S. (2004), ‘Effects of flood hazards on property values: evidence before and after Hurricane Floyd’, Land Economics 80(4): 490500.Google Scholar
Bin, O., Kruse, J.B., and Landry, C.E. (2008), ‘Flood hazards, insurance rates, and amenities: evidence from the coastal housing market’, Journal of Risk and Insurance, 75(1): 6382.CrossRefGoogle Scholar
Carbone, J.C., Hallstrom, D.G., and Smith, K.V. (2006), ‘Can natural experiments measure behavioral responses to environmental risks?’, Environmental and Resource Economics, 33(3): 273–97.Google Scholar
Case, K. and Shiller, R. (2003), ‘Is there a bubble in the housing market?’, Brookings Papers on Economic Activity 2: 299342.Google Scholar
Daniel, V., Florax, R., and Rietveld, P. (2009), ‘Flooding risk and housing values: an economic assessment of environmental hazard’, Ecological Economics 69: 355365.Google Scholar
Donnelly, W.A. (1989), ‘Hedonic price analysis of the effect of a floodplain on property values’, Journal of the American Water Resources Association 25(3): 581586.Google Scholar
Hallegatte, S., Green, C., Nicholls, R.J., and Corfee-Morlot, J. (2013), ‘Future flood losses in major coastal cities’, Nature Climate Change 3: 802806.Google Scholar
Harrison, D.M., Smersh, G.T., and Schwartz, A.L. (2001), ‘Environmental determinants of housing prices: the impact of flood zone status’, Journal of Real Estate Research 21 (1–2): 320.Google Scholar
Hurtado, M., Giménez, J., and Cabral, M. (2006), Análisis ambiental del partido de La Plata: aportes al ordenamiento territorial, Buenos Aires: Consejo Federal de Inversiones (in Spanish).Google Scholar
IFRC (2014), World Disasters Report 2014, Geneva: International Federation of Red Cross and Red Crescent Societies.Google Scholar
IPCC (2014), ‘Summary for policymakers’, in Field, C.B, Barros, V.R., Dokken, D.J., et al. (eds), Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge and New York: Cambridge University Press, pp. 132.Google Scholar
Kousky, C. (2010), ‘Learning from extreme events: risk perceptions after the flood’, Land Economics 86(3): 395422.Google Scholar
Lancaster, K.J. (1966), ‘A new approach to consumer theory’, Journal of Political Economy 74(2): 132157.Google Scholar
LeSage, J.P. and Pace, R.K.. (2009), Introduction to Spatial Econometrics, Boca Raton, FL: CRC Press.Google Scholar
MacDonald, D.N., Murdoch, J.C., and White, H.L. (1987), ‘Uncertain hazards, insurance, and consumer choice: evidence from housing markets’, Land Economics 63(4): 361371.Google Scholar
Ozimek, A. and Miles, D. (2011), ‘Stata utilities for geocoding and generating travel time and travel distance information’, Stata Journal 11(1): 106119.Google Scholar
Palmquist, R.B. (2005), ‘Property value models’, in Mäler, K.-G. and Vincent, J. (eds), Handbook of Environmental Economics, Vol. 2, Amsterdam: North Holland, pp. 763819.Google Scholar
Park, W.M. and Miller, W.L. (1982), ‘Flood risk perceptions and overdevelopment in the floodplain’, Journal of the American Water Resources Association 18(1): 8994.Google Scholar
Rambaldi, A.N., Fletcher, C.S., Collins, K., and McAllister, R.R.J. (2013), ‘Housing shadow prices in an inundation-prone suburb’, Urban Studies 50(9): 18891905.Google Scholar
Rosen, S. (1974), ‘Hedonic prices and implicit markets: product differentiation in pure competition’, Journal of Political Economy 82(1): 3455.Google Scholar
Samarasinghe, O. and Sharp, B. (2010), ‘Flood prone risk and amenity values: a spatial hedonic analysis’, Australian Journal of Agricultural and Resource Economics 54(4): 457475.Google Scholar
Shilling, J.D., Sirmans, C.F., and Benjamin, J.D. (1989), ‘Flood insurance, wealth redistribution, and urban property values’, Journal of Urban Economics 26(1): 4353.Google Scholar
Speyrer, J.F. and Ragas, W.R. (1991), ‘Housing prices and flood risk: an examination using spline regression’, Journal of Real Estate Finance and Economics 4(4): 395407.Google Scholar
Thompson, M.E. and Stoevener, H.H. (1983), ‘Estimating residential flood control benefits using implicit price equations’, Journal of the American Water Resources Association 19(6): 889896.Google Scholar
Wake, B. (2013), ‘Flooding costs’, Nature Climate Change 3: 778.CrossRefGoogle Scholar
Zhai, G., Fukuzono, T., and Ikeda, S. (2003), ‘Effect of flooding on megalopolitan land prices: a case study of the 2000 Tokai flood in Japan’, Journal of Natural Disaster Science 25(1): 2336.Google Scholar