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作者

J.K. Adachi;L. Li

来源

CITIES,Vol.136,Issue1,Article 104255

语言

英文

关键字

作者单位

Department of Land Economy, The University of Cambridge, Silver Street 19, CB3 9EP Cambridge, UK;School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen, PR China;Department of Land Economy, The University of Cambridge, Silver Street 19, CB3 9EP Cambridge, UK;School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen, PR China;Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, Portugal;University of Oxford, United Kingdom;Department of Social, Political and Territorial Sciences (DCSPT), University of Aveiro, Portugal;Department of Technology and Society, College of Engineering and Applied Sciences, State University of New York, Stony Brook, NY 11794-4404, United States of America;SUNY Korea, Republic of Korea;Stony Brook University USA;Kelley School of Business, Indiana University USA;Politecnico di Milano, Department of Architecture, Building Environment and Civil Constructions, Piazza L. da Vinci 32, Milano, Italy;Erasmus School of History, Culture and Communication, Department of Arts and Culture Studies, Netherlands;CUNY Urban Food Policy Institute, CUNY Graduate School of Public Health & Health Policy, The City University of New York, New York, NY, USA;National Council of Research CNR, Institute of Atmospheric Pollution Research, UNICAL-Polifunzionale, Rende 87036, Italy;Department of Social Sciences and Educational Sciences in the Mediterranean Area, University for Foreigners “Dante Alighieri”, Reggio Calabria, Italy

摘要

This research investigates the impact of wildfire occurrence on the price of properties subject to wildfire risk. This is relevant considering anthropogenic climate change is increasing wildfire frequency, size, and severity and the expansion of wildland-urban interface is exposing more people to the costs associated with fires. The study addresses the methodological limitations of prior research by exploiting the difference-in-differences method and a comprehensive dataset comprising transaction data, location and neighbourhood amenity elements, and spatial data on wildfire risk area identification to analyse the impact of the 2015 Sampson Flat Bushfire on housing price differences between the designated Bushfire Prone Area (BPA) and non-BPA within the City of Mitcham in South Australia. The results show that houses in the BPA (i.e., facing bushfire risk) are sold at a 4.96 % discount compared to those within the non-BPA (i.e., not facing bushfire risk) after the fire, suggesting that wildfire risk perception significantly rises following the disaster. Based on a dynamic analysis, houses in BPAs experience an immediate discount of 4.55 % compared to non-BPAs in the first six months following the fire, and this effect continues for at least two years afterward. Most interestingly, a heterogeneity analysis unique to this paper shows that houses within the Medium-Risk BPA are more negatively impacted than those in the High-Risk BPA.