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How does air pollution affect housing rental prices in Chile? An economic assessment of PM2.5 concentration across Chilean communes

Published online by Cambridge University Press:  08 January 2021

Katty Gómez Open the ORCID record for Katty Gómez [Opens in a new window]  and
Victor Iturra
Katty Gómez*
Affiliation:
Department of Economics-IDEAR, Universidad Católica del Norte, Antofagasta, Chile
Victor Iturra
Affiliation:
Department of Economics-IDEAR, Universidad Católica del Norte, Antofagasta, Chile
*
*Corresponding author. E-mail: [email protected]
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Abstract

This paper addresses a serious environmental concern in Chile: PM2.5 concentration, a health threat especially affecting the population living in the central and southern communes of Chile. Using housing data for 312 spatial units, along with interpolation techniques to predict air pollution for communes with missing information, we find that, on average, 1 μg/m3 increase in PM2.5 produces a decrease of 4.1 per cent in housing rental prices. These estimates also show an important upward bias in the estimated coefficient when the endogeneity of air pollution is not addressed. An average Chilean household would be willing to pay US$12.31 per month for a one-unit reduction in PM2.5 concentration. Similar monetary values have been found in previous studies for both México and Chile. As with PM2.5 concentration, the average marginal willingness to pay exhibits marked differences across communes. From these results, the study addresses some policy implications and proposes avenues for future research.

Keywords

air pollutionhedonic modelhousing rental pricewillingness to payChile

JEL classification

R21: Housing Demand Q51: Valuation of Environmental Effects Q53: Air Pollution • Water Pollution • Noise • Hazardous Waste • Solid Waste • Recycling
Type
Research Article
Information
Environment and Development Economics , Volume 26 , Issue 4 , August 2021 , pp. 364 - 380
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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References

Ahumada, G, Iturra, V and Sarrias, M (2020) We do not have the same tastes! Evaluating individual heterogeneity in the preferences for amenities. Journal of Happiness Studies 21, 53–74.CrossRefGoogle ScholarPubMed
Anselin, L (2001) Spatial effects in econometric practice in environmental and resource economics. American Journal of Agricultural Economics 83, 705–710.CrossRefGoogle Scholar
Anselin, L and Le Gallo, J (2006) Interpolation of air quality measures in hedonic house price models: spatial aspects. Spatial Economic Analysis 1, 31–52.CrossRefGoogle Scholar
Bayer, P, Keohane, N and Timmins, C (2009) Migration and hedonic valuation: the case of air quality. Journal of Environmental Economics and Management 58, 1–14.CrossRefGoogle Scholar
Brereton, F, Moro, M, Ningal, T and Ferreira, S (2011) Technical report on GIS analysis, mapping and linking of contextual data to the European social survey. Mimeo. Available at https://www.ucd.ie/happy/index_files/Technical_description_for_Data_Merging.pdf.Google Scholar
Cameron, AC and Miller, DL (2015) A practitioner's guide to cluster-robust inference. Journal of Human Resources 50, 317–372.CrossRefGoogle Scholar
Carriazo, F and Gomez-Mahecha, JA (2018) The demand for air quality: evidence from the housing market in Bogotá, Colombia. Environment and Development Economics 23, 121–138.CrossRefGoogle Scholar
Carriazo, F, Ready, R and Shortle, J (2013) Using stochastic frontier models to mitigate omitted variable bias in hedonic pricing models: a case study for air pollution in Bogotá, Colombia. Ecological Economics 91, 80–88.CrossRefGoogle Scholar
Chakraborti, L, Heres, D and Hernandez, D (2019) Are land values related to ambient air pollution levels? Hedonic evidence from Mexico City. Environment and Development Economics 24, 252–270.CrossRefGoogle Scholar
Chasco, C and Le Gallo, J (2013) The impact of objective and subjective measures of air quality and noise on house prices: a multilevel approach for downtown Madrid. Economic Geography 89, 128–148.CrossRefGoogle Scholar
Chasco, C and Le Gallo, J (2015) Heterogeneity in perceptions of noise and air pollution: a spatial quantile approach on the city of Madrid. Spatial Economic Analysis 10, 317–343.CrossRefGoogle Scholar
Chen, J, Hao, Q and Ch, Yoon (2017) Measuring the welfare cost of air pollution in Shanghai: evidence from the housing market. Journal of Environmental Planning and Management 61, 1744–1757.CrossRefGoogle Scholar
Cheng, Z, Luo, L, Wang, S, Wang, Y, Sharma, S, Shimadera, H, Wang, X, Bressi, M, Maura de Miranda, R, Jiang, J, Zhou, W, Fajardo, O, Yan, N and Hao, J (2016) Status and characteristics of ambient PM2.5 pollution in global megacities. Environment International 89–90, 212–221.CrossRefGoogle ScholarPubMed
Cheng, Z, Li, L and Liu, J (2017) Identifying the spatial effects and driving factors of urban PM2.5 pollution in China. Ecological Indicators 82, 61–75.CrossRefGoogle Scholar
Currie, J, Davis, L, Greenstone, M and Walker, R (2015) Environmental health risks and housing values: evidence from 1,600 toxic plant openings and closings. American Economic Review 105, 678–709.CrossRefGoogle ScholarPubMed
Davis, L (2011) The effect of power plants on local housing values and rents. The Review of Economics and Statistics 93, 1391–1402.CrossRefGoogle Scholar
Donaldson, D and Storeygard, A (2016) The view from above: applications of satellite data in economics. Journal of Economic Perspectives 30, 171–198.CrossRefGoogle Scholar
Elvidge, C, Kimberly, B, Mikhail, Z, Feng, CH and Tilottama, G (2017) VIIRS night-time lights. International Journal of Remote Sensing 38, 5860–5879.CrossRefGoogle Scholar
Ferreira, S and Moro, M (2010) On the use of subjective well-being data for environmental valuation. Environmental and Resource Economics 46, 249–273.CrossRefGoogle Scholar
Ferreira, S, Akay, A, Brereton, F, Cuñado, J, Martinsson, P, Moro, M and Ningal, TF (2013) Life satisfaction and air quality in Europe. Ecological Economics 88, 1–10.CrossRefGoogle Scholar
Fontenla, M, Goodwin, MB and Gonzalez, F (2019) Pollution and the choice of where to work and live within Mexico City. Latin American Economic Review 28, 1–17.CrossRefGoogle Scholar
Freeman, A, Herriges, JA and Kling, CL (2014) The Measurement of Environmental and Resource Values: Theory and Methods. New York: Routledge.CrossRefGoogle Scholar
Freeman, R, Liang, W, Song, R and Timmins, C (2019) Willingness to pay for clean air in China. Journal of Environmental Economics and Management 94, 188–216.CrossRefGoogle Scholar
Greene, W (2003) Econometric Analysis, 7th Edn. Upper Saddle River: Prentice Hall.Google Scholar
Henderson, JV, Storeygard, A and Weil, DN (2012). Measuring economic growth from outer space. American Economic Review 102, 994–1028.CrossRefGoogle ScholarPubMed
IQAir (2018) 2018 World Air Quality Report: Region & City PM2.5 Ranking. Available at https://www.iqair.com/world-most-polluted-cities.Google Scholar
Iturra, V and Paredes, D (2014) Construction of a spatial housing price index by estimating an almost ideal demand system. Tijdschrift voor Economische en Sociale Geografie 105, 301–314.CrossRefGoogle Scholar
Jorquera, H (2009) Source apportionment of PM10 and PM2.5 at Tocopilla, Chile (22 05′S, 70 12′W). Environmental Monitoring and Assessment 153, 235–251.CrossRefGoogle Scholar
Jorquera, H, Barraza, F, Heyer, J, Valdivia, G, Schiappacasse, LN and Montoya, LD (2018) Indoor PM2.5 in an urban zone with heavy wood smoke pollution: the case of Temuco, Chile. Environmental Pollution 236, 477–487.CrossRefGoogle Scholar
Landrigan, PJ, Fuller, R, Acosta, NJR, Adeyi, O, Arnold, R, Basu, N, Baldé, AB, Bertollini, R, Bose-O'Reilly, S, Boufford, JI, Breysse, PN, Chiles, T, Mahidol, C, Coll-Seck, AM, Cropper, ML, Fobil, J, Fuster, V, Greenstone, M, Haines, A, Hanrahan, D, Hunter, D, Khare, M, Krupnick, A, Lanphear, B, Lohani, B, Martin, K, Mathiasen, KV, McTeer, MA, Murray, JL, Ndahimanjara, JD, Perera, F, Potočnik, J, Preker, AS, Ramesh, J, Rockström, J, Salinas, C, Samson, LD, Sandilya, K, Sly, PD, Smith, KR, Steiner, A, Steward, RB, Suk, WA, van Schayck, ONP, Yadama, GN, Yumkella, K, Zhong, M (2017) The Lancet Commission on pollution and health. The Lancet 391, 462–512.CrossRefGoogle ScholarPubMed
Lavín, FV, Dresdner, J and Aguilar, R (2011) The value of air quality and crime in Chile: a hedonic wage approach. Environment and Development Economics 16, 329–355.CrossRefGoogle Scholar
Li, M, Li, C and Zhang, M (2018) Exploring the spatial spillover effects of industrialization and urbanization factors on pollutants emissions in China's Huang-Huai-Hai region. Journal of Cleaner Production 195, 154–162.CrossRefGoogle Scholar
Luechinger, S (2009) Valuing air quality using the life satisfaction approach. The Economic Journal 119, 482–515.CrossRefGoogle Scholar
Mardones, C (2006) Impacto de la percepción de la calidad del aire sobre el precio de las viviendas en Concepción-Talcahuano, Chile. Cuadernos de Economía 43, 301–329 (in Spanish).Google Scholar
Mendoza, Y, Loyola, R, Aguilar, A and Escalante, R (2019) Valuation of air quality in Chile: the life satisfaction approach. Social Indicators Research 145, 367–387.CrossRefGoogle Scholar
Ministry of the Environment of Chile (2011) Establece Norma Primaria de Calidad Ambiental para Material Particulado Fino Respirable MP 2.5. Available at https://www.leychile.cl/Navegar?idNorma=1025202 (in Spanish).Google Scholar
Ministry of the Environment of Chile (2017) Plan de Prevención y Descontaminación Atmosférica para la Región Metropolitana de Santiago. Available at https://www.leychile.cl/N?i=1111283&f=2017-11-24&p (in Spanish).Google Scholar
Naoum, S and Tsanis, IK (2004) Ranking spatial interpolation techniques using a GIS-based DSS. Global NEST: the International Journal 6, 1–20.Google Scholar
Oliver, MA and Webster, R (1990) Kriging: a method of interpolation for geographical information systems. International Journal of Geographical Information System 4, 313–332.CrossRefGoogle Scholar
Paredes, D (2013) The role of human capital, market potential and natural amenities in understanding spatial wage disparities in Chile. Spatial Economic Analysis 8, 154–175.CrossRefGoogle Scholar
Ridker, RG and Henning, JA (1967) The determinants of residential property values with special reference to air pollution. The Review of Economics and Statistics 49, 246–257.CrossRefGoogle Scholar
Roback, J (1982) Wages, rents, and the quality of life. Journal of Political Economy 90, 1257–1278.CrossRefGoogle Scholar
Rodríguez-Sánchez, JI (2014) Do Mexicans care about air pollution? Latin American Economic Review 23, 1–24.CrossRefGoogle Scholar
Rogat, CJ, Firinguetti, L and Figueroa, E (1996) An estimation of the economic value of air quality improvement program in Santiago de Chile. Available at http://repositorio.uchile.cl/handle/2250/127585.Google Scholar
Rosen, S (1974) Hedonic prices and implicit markets: product differentiation in pure competition. Journal of Political Economy 82, 34–55.CrossRefGoogle Scholar
Rosen, S (1979) Wage-based indexes of urban quality of life. In Mieszkowski, P and Strashaim, M (eds), Current Issues in Urban Economics. Baltimore, MD: Johns Hopkins University, pp. 74–104.Google Scholar
Smith, VK and Huang, JC (1995) Can markets value air quality? A meta-analysis of hedonic property value models. Journal of Political Economy 103, 209–227.CrossRefGoogle Scholar
Soto, JD, Vargas, M and Berdegué, JA (2018) How large are the contributions of cities to the development of rural communities? A market access approach for a quarter century of evidence from Chile. Working paper series of the Latin American Center for Rural Development – Rimisp, vol. 239, pp. 1–41.CrossRefGoogle Scholar
Tian, G, Yehua, W and Li, H (2017) Effects of accessibility and environmental health risk on housing prices: a case of Salt Lake County, Utah. Applied Geography 89, 12–21.CrossRefGoogle Scholar
Vargas, M (2016) Tacit collusion in housing markets: the case of Santiago, Chile. Applied Economics 48, 5257–5275.CrossRefGoogle Scholar
WHO (2016) Ambient air pollution: a global assessment of exposure and burden of disease. Available at https://doi.org/9789241511353.Google Scholar
Winters, J (2009) Wages and prices: are workers fully compensated for cost of living differences? Regional Science and Urban Economics 39, 632–643.CrossRefGoogle Scholar
Xie, YF, Chen, TB, Lei, M, Yang, J, Guo, QJ, Song, B and Zhou, XY (2011) Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: accuracy and uncertainty analysis. Chemosphere 82, 468–476.CrossRefGoogle ScholarPubMed
Yusuf, A and Resosudarmo, B (2009) Does clean air matter in developing countries’ megacities? A hedonic price analysis of the Jakarta housing market, Indonesia. Ecological Economics 68, 1398–1407.CrossRefGoogle Scholar
Zheng, S, Cao, J, Kahn, ME and Sun, C (2014) Real estate valuation and cross-boundary air pollution externalities: evidence from Chinese cities. The Journal of Real Estate Finance and Economics 48, 398–414.CrossRefGoogle Scholar
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