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JDR Vol.18 No.3 pp. 261-269
(2023)
doi: 10.20965/jdr.2023.p0261

Paper:

Analysis of Land Price Changes Before and After Designation as Tsunami Disaster Alert Areas

Jun Sakamoto

Kochi University
2-5-1 Akebono-cho, Kochi, Kochi 780-8520, Japan

Corresponding author

Received:
August 30, 2022
Accepted:
December 26, 2022
Published:
April 1, 2023
Keywords:
tsunami disaster alert area, propensity score matching, difference-in-difference
Abstract

Learning from the Great East Japan Earthquake, the Japanese government enacted the “Tsunami Disaster Prevention Community Development Law.” Following the law’s enactment, local prefectures could designate areas that required special preparation for tsunami disasters as “tsunami disaster alert areas.” However, more than 10 years after the law’s enactment, only about half of the prefectures with estimated tsunami inundation have designated disaster alert areas. One reason for this lack of progress is that it is difficult to reach a consensus owing to concerns regarding falling land prices caused by rumors. Thus, this study presents an empirical analysis of the impact of designating tsunami disaster alert areas on land prices. The difference in land prices between designated tsunami disaster alert areas and other areas is analyzed using the difference-in-difference and propensity score matching methods, using data on 26 prefectures. The eight prefectures in the “treatment group” were designated as tsunami disaster alert areas before 2018. The other prefectures are assigned to the “control group.” The results show a significant difference between designated tsunami disaster alert areas and other locations. The results are confirmed in kernel matching bandwidths of 0.06 for the entire sample, sample of only residential use, and sample of an estimated tsunami inundation depth below 2 m. Thus, this study concludes that before designating tsunami alert areas, local prefectures must carefully consider the impact of such designation on land prices.

Cite this article as:
J. Sakamoto, “Analysis of Land Price Changes Before and After Designation as Tsunami Disaster Alert Areas,” J. Disaster Res., Vol.18 No.3, pp. 261-269, 2023.
Data files:
References
  1. [1] Ministry of Land, Infrastructure, Transport and Tourism (MLIT), “Outline of Tsunami Disaster Prevention Community Development Law,” (in Japanese). http://www.mlit.go.jp/sogoseisaku/point/tsunamibousai.html [Accessed August 1, 2022]
  2. [2] Asahi Shimbun, “(Disaster-prone country: Protecting lives) Less than 30% of the prefectures have designated tsunami disaster alert areas. – Reasons are concerns about land prices, little sense of urgency,” p. 26, October 26, 2020 (in Japanese).
  3. [3] A. Troy and J. Romm, “Assessing the price effects of flood hazard disclosure under the California natural hazard disclosure law (AB 1195),” J. of Environmental Planning and Management, Vol.47, No.1, pp. 137-162, 2004.
  4. [4] N. R. Netusil, K. Moeltner, and M. Jarrad, “Floodplain designation and property sale prices in an urban watershed,” Land Use Policy, Vol.88, 104112, 2019.
  5. [5] L.-H. C. Hsieh, “Is it the flood, or the disclosure? An inquiry to the impact of flood risk on residential housing prices,” Land Use Policy, Vol,106, 105443, 2021.
  6. [6] Y. Sato and K. Shiba, “The impact of tsunamis on land appraisals: Evidence from western Japan,” PLoS One, Vol.16, No.4, e0248860, 2021.
  7. [7] H. Watanabe and E. Inoue, “On residents’ acceptance factors for designation of alert area for tsunami disaster and measures for designation promotion – case study at Toi Area in Izu City,” J. of Social Safety Science, Vol.37, pp. 57-67, 2020 (in Japanese).
  8. [8] A. Nanda and S. L. Ross, “The impact of Property Condition Disclosure Laws on housing prices: Evidence from an event study using propensity scores,” The J. of Real Estate Finance and Economics, Vol.45, No.1, pp. 88-109, 2012.
  9. [9] K. von Graevenitz, D. Römer, and A. Rohlf, “The effect of emission information on housing prices: Quasi-experimental evidence from the European Pollutant Release and Transfer Register,” Environmental and Resource Economics, Vol.69, No.1, pp. 23-74, 2018.
  10. [10] E. Leuven and B. Sianesi, “PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing,” Statistical Software Components S432001, Boston College Department of Economics, 2018.
  11. [11] M. Caliendo and S. Kopeinig, “Some practical guidance for the implementation of propensity score matching,” J. of Economic Surveys, Vol.22, No.1, pp. 31-72, 2008.
  12. [12] National Land Information Download Service, “Posted land price,” (in Japanese). https://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-L01-v3_1.html [Accessed August 1, 2022]
  13. [13] National Land Information Download Service, “Estimated tsunami inundation,” (in Japanese). https://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-A40-v2_0.html [Accessed August 1, 2022]
  14. [14] C. Kawai, F. Nakai, and E. Hideshima, “Analysis of causal effects of designating tsunami inundation zone on land price,” Proc. of Infrastructure Planning, JSCE, Vol.62, 43-3, 2021 (in Japanese).
  15. [15] Zenrin Marketing Solutions Co., Ltd., “2010 Census Regional Mesh Statistics,” (in Japanese). https://www.zenrin-ms.co.jp/gis_marketing/database/statistics/census_h22/ [Accessed December 10, 2022]
  16. [16] Statistics Bureau of Japan, “Chapter 1: Characteristics and history of regional mesh statistics,” Statistics Bureau of Japan, “Regional mesh statistics overview,” (in Japanese). https://www.stat.go.jp/data/mesh/pdf/gaiyo1.pdf [Accessed Decmenber 6, 2022]
  17. [17] National Spatial Planning and Regional Policy Bureau, MLIT, “Digital national land information (posted land price): Product Specifications (version 2.3),” 2017 (in Japanese). https://nlftp.mlit.go.jp/ksj/gml/product_spec/KS-PS-L01-v2_3.pdf [Accessed December 6, 2022]
  18. [18] National Spatial Planning and Regional Policy Bureau, MLIT, “Elevation and slope Tertiary mesh: Product Specifications (version 2.2),” 2011 (in Japanese). https://nlftp.mlit.go.jp/ksj/gml/product_spec/KS-PS-G04-a-v2_2.pdf [Accessed December 6, 2022]
  19. [19] MLIT, “Results of the survey on the current status of damage caused by the Great East Japan Earthquake (First Report),” 2011 (in Japanese). https://www.mlit.go.jp/common/000162533.pdf [Accessed December 6, 2022]
  20. [20] H. Wu, S. Ding, S. Pandey, and D. Tao, “Assessing the impact of agricultural technology adoption on farmers’ well-being using propensity-score matching analysis in rural China,” Asian Economic J., Vol.24, No.2, pp. 141-160, 2010.
  21. [21] MLIT, “Case studies of designation of alert areas,” 2020 (in Japanese). https://www.mlit.go.jp/sogoseisaku/point/content/001340424.pdf [Accessed August 1, 2022]
  22. [22] O. Bin and C. E. Landry, “Changes in implicit flood risk premiums: Empirical evidence from the housing market,” J. of Environmental Economics and Management, Vol.65, No.3, pp. 361-376, 2013.
  23. [23] K. R. Ihlanfeldt, “The effect of land use regulation on housing and land prices,” J. of Urban Economics, Vol.61, No.3, pp. 420-435, 2007.

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