論文

査読有り 筆頭著者 責任著者
2020年9月15日

Cost-Benefit Analysis of Adaptation to Beach Loss Due to Climate Change in Japan

Journal of Marine Science and Engineering
  • Kazunori Nakajima
  • ,
  • Naoki Sakamoto
  • ,
  • Keiko Udo
  • ,
  • Yuriko Takeda
  • ,
  • Eiji Ohno
  • ,
  • Masafumi Morisugi
  • ,
  • Ryuta Mori

8
9
開始ページ
715
終了ページ
715
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/jmse8090715
出版者・発行元
MDPI AG

To measure economic effects of changes in environmental quality caused by climate change in Japan, we estimate beach loss damage costs in Japan and in each prefecture and evaluate the economic effectiveness of hypothetical adaptation measures to restore sandy beaches. For analyses, we use a computable general equilibrium model (CGE) that integrates a utility function with environmental quality factors as an independent variable derived from a recreation demand function in a travel cost method (TCM). We use future projections of beach loss rates in 2081–2100 based on ensemble-mean regional sea-level rise (SLR) for four Representative Concentration Pathway (RCPs) scenarios (RCP2.6, RCP4.5, RCP6.0, and RCP8.5). The main findings of our study are presented as follows. (1) In 2081–2100, beach loss damage costs were estimated respectively as 398.54 million USD per year for RCP2.6, 468.96 (m.USD/year) for RCP4.5, 494.09 (m.USD/year) for RCP6.0, and 654.63 (m.USD/year) for RCP8.5. (2) For all RCPs, six prefectures for which the cost–benefit ratio exceeds 1.0 were Kanagawa, Osaka, Hyogo, Hiroshima, Saga, and Kumamoto. Our hypothetical adaptation measure of an artificial beach enhancement is expected to be quite effective as a public works project in these prefectures.

リンク情報
DOI
https://doi.org/10.3390/jmse8090715
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000581208200001&DestApp=WOS_CPL
共同研究・競争的資金等の研究課題
気候変動の影響評価等技術の開発に関する研究
URL
https://www.mdpi.com/2077-1312/8/9/715/pdf
ID情報
  • DOI : 10.3390/jmse8090715
  • eISSN : 2077-1312
  • Web of Science ID : WOS:000581208200001

エクスポート
BibTeX RIS