References 
Addoum, J.M., Eichholtz, P., Steiner, E. & Yönder, E., 2024. Climate change and commercial real estate: Evidence from Hurricane Sandy. Real Estate Economics, 52(3), 687-713. https://doi.org/10.1111/1540-6229.12435
Akerlof, G. A. (1978). The market for “lemons”: Quality uncertainty and the market mechanism. In Uncertainty in Economics (pp. 235–251). Academic Press. https://doi.org/10.1016/B978-0-12-214850-7.50022-X
Alok, S., Kumar, N., & Wermers, R. (2020). Do fund managers misestimate climatic disaster risk? Review of Financial Studies, 33(3), 1146–1183. https://doi.org/10.1093/rfs/hhz143
Atreya, A., Ferreira, S., & Kriesel, W. (2013). Forgetting the flood? An analysis of the flood risk discount over   time. Land Economics, 89(4), 577-596. https://doi.org/10.3368/le.89.4.577
Atreya, A., & Ferreira, S. (2015). Seeing is believing? Evidence from property prices in inundated areas. Risk Analysis, 35(5), 828-848. https://doi.org/10.1111/risa.12307
Barberis, N., Huang, M., & Santos, T. (2001). Prospect theory and asset prices. The Quarterly Journal of Economics, 116(1), 1–53. https://doi.org/10.1162/003355301556310
Bayer, P., Geissler, C., Roberts, J. W., & National Bureau of Economic Research. (2011). Speculators and middlemen: The role of intermediaries in the housing market (Working Paper 16784). National Bureau of  Economic Research. 
Benson, C., & Clay, E. (2004). Understanding the economic and financial impacts of natural disasters. The World Bank. https://doi.org/10.1596/0-8213-5685-2
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. https://doi.org/10.1016/j.jfineco.2019.03.013
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. https://doi.org/10.1016/j.jeem.2012.12.002
Blöschl, G., Kiss, A., Viglione, A., Barriendos, M., Böhm, O., Brázdil, R., ... & Wetter, O. (2020). Current European flood-rich period exceptional compared with past 500 years. Nature, 583(7817), 560-566. https://doi.org/10.1038/s41586-020-2478-3
Broxterman, D., & Zhou, T. (2023). Information frictions in real estate markets: recent evidence and issues. The Journal of Real Estate Finance and Economics, 66(2), 203-298. https://doi.org/10.1007/s11146-022-09918-9
Cavallo, E., Galiani, S., Noy, I., & Pantano, J. (2013). Catastrophic natural disasters and economic growth. The Review of Economics and Statistics, 95(5), 1549–1561. https://doi.org/10.1162/REST_a_00413
Cavallo, E., & Noy, I. (2011). Natural disasters and the economy — a survey. International Review of Environ-mental and Resource Economics, 5(1), 63–102. http://dx.doi.org/10.1561/101.00000039
Chen, Z., Chen, T., Lin, Y., & Wang, J. (2025). Building tall, falling short: An empirical assessment of Chinese skyscrapers. Journal of Urban Economics, 145, 103731. https://doi-org.eproxy.lib.hku.hk/10.1016/j.jue.2024.103731
Chinloy, P., Hardin, W., III, & Wu, Z. (2013). Price, place, people, and local experience. Journal of Real Estate Research, 35(4), 477–506. https://doi.org/10.1080/10835547.2013.12091376
Cohen, J. P., Barr, J., & Kim, E. (2021). Storm surges, informational shocks, and the price of urban real estate:  An application to the case of Hurricane Sandy. Regional Science and Urban Economics, 90, 103694. https://doi.org/10.1016/j.regsciurbeco.2021.103694
Contat, J., Hopkins, C., Mejia, L., & Suandi, M. (2024). When climate meets real estate: A survey of the literature. Real Estate Economics, 52(3), 618-659. https://doi.org/10.1111/1540-6229.12489
Coval, J. D., & Moskowitz, T. J. (1999). Home bias at home: local equity preference in domestic portfolios. The Journal of Finance, 54(6), 2045–2073. https://doi.org/10.1111/0022-1082.00181
Coval, J. D., & Moskowitz, T. J. (2001). The geography of investment: informed trading and asset prices. Journal of Political Economy, 109(4), 811–841. https://doi.org/10.1086/322088
Cvijanović, D., Milcheva, S., & Van De Minne, A. (2022). Preferences of institutional investors in commercial  real estate. The Journal of Real Estate Finance and Economics, 65(2), 321–359. https://doi.org/10.1007/s11146-020-09816-y
Dixit, R. K., & Pindyck, R. S. (1994). Investment under uncertainty. Princeton University Press.
Fisher, J. D., & Rutledge, S. R. (2021). The impact of Hurricanes on the value of commercial real estate. Business Economics, 56(3), 129-145. https://doi.org/10.1057/s11369-021-00212-9
Garmaise, M. J., & Moskowitz, T. J. (2004). Confronting information asymmetries: Evidence from real estate markets. Review of Financial Studies, 17(2), 405–437. https://doi.org/10.1093/rfs/hhg037
Geltner, D. M., & Van De Minne, A. (2017). Do different price points exhibit different investment risk and return in commercial real estate?. The Journal of Portfolio Management, 43(6), 105–119. https://doi.org/10.3905/jpm.2017.43.6.105
Grossman, S. J., & Stiglitz, J. E. (1980). On the impossibility of informationally efficient markets. American Economic Review, 70(3), 393–408. https://www.jstor.org/stable/1805228
Hallstrom, D. G., & Smith, V. K. (2005). Market responses to hurricanes. Journal of Environmental Economics and Management, 50(3), 541–561. https://doi.org/10.1016/j.jeem.2005.05.002
Harrison, D., T. Smersh, G., & Schwartz, A. (2001). Environmental determinants of housing prices: The impact of flood zone status. Journal of Real Estate Research, 21(1-2), 3-20. https://doi.org/10.1080/10835547.2001.12091045
Hino, M., & Burke, M. (2021). The effect of information about climate risk on property values. Proceedings of  the National Academy of Sciences, 118(17). https://doi.org/10.1073/pnas.2003374118
Hirabayashi, Y., Mahendran, R., Koirala, S., Konoshima, L., Yamazaki, D., Watanabe, S., ... & Kanae, S. (2013). Global flood risk under climate change. Nature Climate Change, 3(9), 816-821. https://doi.org/10.1038/nclimate1911
Holtermans, R., Niu, D., & Zheng, S. (2023). Quantifying the impacts of climate shocks in commercial real estate markets. Journal of Regional Science. https://doi.org/10.1111/jors.12715
Huberman, G. (2001). Familiarity Breeds Investment. Review of Financial Studies, 14(3), 659–680. https://doi.org/10.1093/rfs/14.3.659
Hummel, M. A., Griffin, R., Arkema, K., & Guerry, A. D. (2021). Economic evaluation of sea-level rise adaptation strongly influenced by hydrodynamic feedbacks. Proceedings of the National Academy of Sciences, 118(29). https://doi.org/10.1073/pnas.2025961118
Ihlanfeldt, K., & Mayock, T. (2012). Information, search, and house prices: Revisited. The Journal of Real Estate Finance and Economics, 44, 90-115. https://doi.org/10.1007/s11146-010-9282-z
Kang, Y., Niu, D., Song, J., & Sun, W. (2024). Feeling the heat: Extreme temperatures and housing prices in China. Journal of Economic Surveys. https://doi.org/10.1111/joes.12651
Kates, R. W., Colten, C. E., Laska, S., & Leatherman, S. P. (2006). Reconstruction of New Orleans after Hurricane Katrina: a research perspective. Proceedings of the National Academy of Sciences, 103(40), 14653-14660. https://doi.org/10.1073/pnas.0605726103
Kay, A. L., Davies, H. N., Bell, V. A., & Jones, R. G. (2009). Comparison of uncertainty sources for climate change impacts: flood frequency in England. Climate Change, 92(1), 41-63. https://doi.org/10.1007/s10584-008-9471-4
Kim, S. K., Joosse, P., Bennett, M. M., & van Gevelt, T. (2020). Impacts of green infrastructure on flood risk perceptions in Hong Kong. Climatic Change, 162, 2277-2299. https://doi.org/10.1007/s10584-020-02803-5
Kim, S. K., & Wu, L. (2022). Do the characteristics of new green space contribute to gentrification?. Urban Studies, 59(2), 360-380. https://doi.org/10.1177/0042098021989951
Kousky, C. (2010). Learning from extreme events: Risk perceptions after the flood. Land Economics, 86(3), 395-422. https://doi.org/10.3368/le.86.3.395
Kousky, C., (2014). Informing climate adaptation: A review of the economic costs of natural disasters. Energy Economics, 46, 576-592. https://doi.org/10.1016/j.eneco.2013.09.029
Lambson, V. E., McQueen, G. R., & Slade, B. A. (2004). Do out‐of‐state buyers pay more for real estate? An examination of anchoring‐induced bias and search costs. Real Estate Economics, 32(1), 85-126. https://doi.org/10.1111/j.1080-8620.2004.00085.x
Lamond, J., Proverbs, D., & Hammond, F. (2010). The impact of flooding on the price of residential property: A transactional analysis of the UK market. Housing Studies, 25(3), 335-356. https://doi.org/10.1080/02673031003711543
Li, L., & Chau, K. W. (2024). Information Asymmetry with Heterogeneous Buyers and Sellers in the Housing  Market. The Journal of Real Estate Finance and Economics, 68(1), 138-159. https://doi.org/10.1007/s11146-023-09939-y
Ling, D. C., Naranjo, A., & Petrova, M. T. (2018). Search costs, behavioral biases, and information intermediary effects. The Journal of Real Estate Finance and Economics, 57, 114-151. https://doi.org/10.1007/s11146-016-9582-z
Ling, D. C., Wang, C., & Zhou, T. (2022). Asset productivity, local information diffusion, and commercial real estate returns. Real Estate Economics, 50(1), 89-121. https://doi.org/10.1111/1540-6229.12354
Linnenluecke, M. K., Griffiths, A., & Winn, M. (2012). Extreme weather events and the critical importance of anticipatory adaptation and organizational resilience in responding to impacts. Business Strategy and the Environment, 21(1), 17-32. https://doi.org/10.1002/bse.708
Liu, Y., Gallimore, P., & Wiley, J. A. (2015). Nonlocal office investors: Anchored by their markets and impaired by their distance. The Journal of Real Estate Finance and Economics, 50, 129-149. https://doi.org/10.1007/s11146-013-9446-8
Liu, C., Zhou, Z., Su, K., Liu, K., & An, H. (2024). Water risk and financial analysts' information environment: Empirical evidence from China. Business Strategy and the Environment, 33(2), 1265-1304. https://doi.org/10.1002/bse.3539
McDonald, R., & Siegel, D. (1986). The value of waiting to invest. The Quarterly Journal of Economics, 101(4), 707-727. https://doi.org/10.2307/1884175
Meltzer, R., Ellen, I. G., & Li, X. (2021). Localized commercial effects from natural disasters: The case of Hurricane Sandy and New York City. Regional Science and Urban Economics, 86, 103608. https://doi.org/10.1016/j.regsciurbeco.2020.103608
Milly, P. C. D., Wetherald, R. T., Dunne, K. A., & Delworth, T. L. (2002). Increasing risk of great floods in a changing climate. Nature, 415(6871), 514-517. https://doi.org/10.1038/415514a
Nanda, A., & Ross, S. L. (2012). The impact of property condition disclosure laws on housing prices: Evidence  from an event study using propensity scores. The Journal of Real Estate Finance and Economics, 45, 88-109. https://doi.org/10.1007/s11146-009-9206-y
Newell, G., Marzuki, M. J., Hoesli, M., & Lai, R. N. (2023). The performance of non-listed opportunity real estate funds in China. Journal of Property Investment & Finance, 41(6), 583-600. https://doi.org/10.1108/JPIF-09-2021-0075
Newell, G., Chau, K.W., & Wong, S.K. (2009). The significance of Chinese commercial property in an Asi-an property portfolio. Journal of Property Investment & Finance, 27(2), 102-119. https://doi.org/10.1108/14635780910937827
World Bank. (2022). Population density (people per sq. km of land area). https://data.worldbank.org/indicator/EN.POP.DNST?end=2022&start=2022&view=map&year=2018 
World Bank. (2020). Natural disaster challenges in China: Key trends and insights. https://documents1.worldbank.org/curated/en/787561594885965851/pdf/Natural-Disaster-Challenges-in-China-Key-Trends-and-Insights-Learning-from-Experience-Insights-from-China-s-Progress-in-Disaster-Risk-Management.pdf
Ortega, F., & Taṣpınar, S. (2018). Rising sea levels and sinking property values: Hurricane Sandy and New York’s housing market. Journal of Urban Economics, 106, 81-100. https://doi.org/10.1016/j.jue.2018.06.005
Pain, K., Shi, S., Black, D., Blower, J., Grimmond, S., Hunt, A., Milcheva, S., Crawford, B., Dale, N., Doolin, S. and Manna, S. (2023). Real estate investment and urban density: exploring the polycentric urban region using a topological lens. Territory, politics, governance, 11(2), 241-260. https://doi.org/10.1080/21622671.2020.1837665
Pain, K., Zhu, B., Derudder, B., & Taylor, P. J. (2024). The spatial interlocking of commercial office real estate  and advanced producer services: a central flow theory lens. International Journal of Urban Sciences, 1-22. https://doi.org/10.1080/12265934.2024.2358092
Peng, J., Zhao, M., Guo, X., Pan, Y., & Liu, Y. (2017). Spatial-temporal dynamics and associated driving forces of urban ecological land: A case study in Shenzhen City, China. Habitat International, 60, 81-90. https://doi.org/10.1016/j.habitatint.2016.12.005
Perry, C. (2015). The neighborhood unit. In The City Reader (pp. 607-619). Routledge. http://doi.org/10.4324/9780429261732-66
Pindyck, R. S. (1991). Irreversibility, Uncertainty, and Investment. Journal of Economic Literature, 29(3), 1110–1148. http://www.jstor.org/stable/2727613
Pope, J. C. (2008). Do seller disclosures affect property values? Buyer information and the hedonic model. Land Economics, 84(4), 551-572. https://doi.org/10.3368/le.84.4.551
Shi, S., Wong, S. K., & Zheng, C. (2022). Network capital and urban development: An inter-urban capital flow network analysis. Regional Studies, 56(3), 406-419. https://doi.org/10.1080/00343404.2021.1955098
Tellman, B., Sullivan, J. A., Kuhn, C., Kettner, A. J., Doyle, C. S., Brakenridge, G. R., ... & Slayback, D. A. (2021). Satellite imaging reveals increased proportion of population exposed to floods. Nature, 596(7870), 80-86. https://doi.org/10.1038/s41586-021-03695-w
Webb, G. R., Tierney, K. J., & Dahlhamer, J. M. (2002). Predicting long-term business recovery from disaster: A comparison of the Loma Prieta earthquake and Hurricane Andrew. Global Environmental Change Part B: Environmental Hazards, 4(2), 45-58. https://doi.org/10.3763/ehaz.2002.0405
Wei, H., Chen, Y., Chen, B., Shi, S., Tu, Y., & Xu, B. (2024). Built environments, communities, and housing price: A data-model integration approach. Applied Geography, 166, 103270. https://doi.org/10.1016/j.apgeog.2024.103270
Turnbull, G. K., & Sirmans, C. F. (1993). Information, search, and house prices. Regional Science and Urban Economics, 23(4), 545-557. https://doi.org/10.1016/0166-0462(93)90046-H
Zhang, L. (2016). Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis. Regional Science and Urban Economics, 60, 12-19. https://doi.org/10.1016/j.regsciurbeco.2016.06.005
Zhang, S., Zhen, F., Kong, Y., Lobsang, T., & Zou, S. (2023). Towards a 15-minute city: A network-based evaluation framework. Environment and Planning B: Urban Analytics and City Science, 50(2), 500-514. https://doi.org/10.1177/23998083221118570
Zheng, S., Cao, J., Kahn, M. E., & 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. https://doi.org/10.1007/s11146-013-9405-4
Zong, S., Xu, S., Huang, J., Ren, Y., & Song, C. (2025). Distribution patterns and driving mechanisms of land use spatial conflicts: Empirical analysis from counties in China. Habitat International, 156, 103268. https://doi.org/10.1016/j.habitatint.2024.103268