Spatial Hedonic Analysis of Housing Prices in Earthquake-Prone Areas: Evidence from Yogyakarta, Indonesia
Author/s: Endah Saptutyningsih, Salwa Fauziyyah Hermawan, Romi Bhakti Hartarto, Nursetiawan
Date Published: 29/10/2026
Published in: Volume 31 - 2026 Issue 2 (pages 27 - 48)
DOI: https://doi.org/10.64361/14445921.2026.212331
Abstract
This study examines the relationship between earthquake exposure and housing prices in Sriharjo Village, Imogiri District, Yogyakarta, Indonesia. Using a hedonic pricing framework combined with Geographic Information Systems (GIS)-based spatial analysis, the study analyzes structural, neighborhood, and disaster-related factors associated with residential property values. Primary data were collected from 384 respondents through a household survey and analyzed using ordinary least squares (OLS), with quantile regression employed as a robustness check. The OLS results show that house size, land size, and number of rooms are positively associated with housing prices, while building age is negatively associated with property values. Accessibility also matters, particularly distance to the city center. Most importantly, each additional kilometer from the historical earthquake epicenter is associated with approximately 4.08% higher property values. Quantile regression confirms a positive earthquake-distance coefficient across the conditional housing price distribution, with statistically significant associations from the 0.25 to 0.90 quantiles. GIS analysis further reveals spatial variation in topography, settlement patterns, seismic exposure, and mitigation practices. Overall, the findings provide evidence that seismic exposure is associated with differences in housing values and highlight the importance of integrating disaster risk into housing and spatial planning.
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Earthquake - Hedonic Pricing - Housing Prices - Indonesia - Spatial AnalysisReferences
- Anderson, S.T., & West, S.E. (2006). Open space, residential property values, and spatial
- context. Regional Science and Urban Economics, 36(6), 773–789.
- Badan Perencanaan Pembangunan Nasional (BAPPENAS). (2006). Preliminary damage and loss
- assessment: Yogyakarta and Central Java natural disaster. Government of Indonesia.
- Bakkensen, L.A., & Barrage, L. (2021). Flood risk belief heterogeneity and coastal home price
- dynamics. American Economic Review, 111(7), 2209–2254.
- Beltrán, A., Maddison, D., & Elliott, R.J.R. (2018). Is flood risk capitalised into property values?
- Ecological Economics, 146, 668–685.
- Bernstein, A., Gustafson, M.T., & Lewis, R. (2019). Disaster on the horizon: The price effect of
- sea level rise. Journal of Financial Economics, 134(2), 253–272
- Bin, O., & Landry, C.E. (2013). Changes in implicit flood risk premiums: Empirical evidence
- from the housing market. Journal of Environmental Economics and Management, 65(3), 361–376.
- Bin, O., & Polasky, S. (2004). Effects of flood hazards on property values: Evidence before and
- after Hurricane Floyd. Land Economics, 80(4), 490–500.
- Brookshire, D. S., Thayer, M. A., Tschirhart, J., & Schulze, W.D. (1985). A test of the expected
- utility model: Evidence from earthquake risks. Journal of Political Economy, 93(2), 369–389.
- Daniell, J.E., Khazai, B., Wenzel, F., & Vervaeck, A. (2012). The worldwide economic impact of
- historic earthquakes. Proceedings of the 15th World Conference on Earthquake Engineering, Lisbon,
- Portugal.
- Des Rosiers, F., & Lagana, A. (2024). Landslide hazards, public intervention and property
- values: The case of Saguenay, Quebec, Canada. Journal of Property Research, 41(2), 145–168
- Eberhard, M.O., Baldridge, S., Marshall, J., Mooney, W., & Rix, G.J. (2010). The Mw 7.0 Haiti
- earthquake of January 12, 2010: USGS/EERI advance reconnaissance team report. U.S. Geological
- Survey.
- olloy, R. (2005). Why is Manhattan so expensive? Regulation
- and the rise in housing prices. Journal of Law and Economics, 48(2), 331–369.
- Goda, K., Kiyota, T., Pokhrel, R.M., Chiaro, G., Katagiri, T., Sharma, K., & Wilkinson, S. (2015).
- The 2015 Gorkha Nepal earthquake: Insights from earthquake damage survey. Frontiers in
- Built Environment, 1, 8.
- Inagaki, K., & Sadohara, S. (2019). Spatial analysis to identify factors affecting residential land
- prices in disaster areas. Proceedings of the International Cartographic Association, 2, 47.
- Khoirudin, R., & Kurniawan, M.L.A. (2023). A time-varying of property residential price in
- Indonesia: A VAR approach. Jurnal Ekonomi & Studi Pembangunan, 24(1), 69-80.
- Kim, S., Park, S., Yoon, D., & Cho, K. (2017). Amenity or hazard? The effects of landslide
- hazard on property value in Woomyeon Nature Park area, Korea. Landscape and Urban
- Planning, 157, 523–533.
- Kuminoff, N.V., Parmeter, C.F., & Pope, J.C. (2010). Which hedonic models can we trust to
- recover the marginal willingness to pay for environmental amenities? Journal of Environmental
- Economics and Management, 60(3), 145–160.
- Malpezzi, S. (2002). Hedonic Pricing Models: A Selective and Applied Review. In Housing
- Economics and Public Policy (eds T. O'Sullivan and K. Gibb)
- Marín-Rodríguez, M., Vega, J., Zanabria, O.B., González-Ruiz, J.D., & Botero, S. (2024).
- Towards an understanding of landslide risk assessment and its economic losses: A
- scientometric analysis. Landslides, 21, 1865-1881.
- Melpriyanto, N.D., & Saptutyningsih, E. (2019). Pengaruh keberadaan industri terhadap harga
- rumah menggunakan pendekatan hedonic price. Journal of Economics Research and Social
- Sciences, 3(2), 72-82.
- Muckenhaupt, T., Hoesli, M., & Zhu, B. (2025). Real estate as an inflation hedge: New evidence
- from an international analysis. The North American Journal of Economics and Finance, 80, 102488.
- Murdoch, J.C., Singh, H., & Thayer, M. (1993). The impact of natural hazards on housing
- values: The Loma Prieta earthquake. Journal of the American Real Estate and Urban Economics
- Association, 21(2), 167–184.
- Nakagawa, M., Saito, M., & Yamaga, H. (2007). Earthquake risk and housing rents: Evidence
- from the Tokyo metropolitan area. Regional Science and Urban Economics, 37(1), 87–99.
- Naoi, M., Seko, M., & Sumita, K. (2009). Earthquake risk and housing prices in Japan: Evidence
- before and after massive earthquakes. Regional Science and Urban Economics, 39(6), 658–669.
- Saptutyningsih, E., & Dewanti, D.S. (2023). Measuring the economic impact of landslide
- hazard: Hedonic price approach. IOP Conference Series: Earth and Environmental Science, 1180,
- 012048.
- Syifa, M., Kadavi, P.R., & Lee, C.-W. (2019). An artificial intelligence application for post
- earthquake damage mapping in Palu, Central Sulawesi, Indonesia. Sensors, 19(3), 542.
- United Nations. (2023). The Sustainable Development Goals Report 2023. United Nations.
- World Bank. (2023). Türkiye earthquakes recovery and reconstruction assessment. Washington,
- D.C.: World Bank Group.
