Koichi Kuriyama

Prof. Koichi Kuriyama

Division of Natural Resource Economics, Graduate School of Agriculture, Kyoto University

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
23 September 2009 in Environmental and Resource Economics
Verified
Journal Article
Closed access
PDF file
THTadao Hoshino
Tadao Hoshino
KKKoichi Kuriyama
Koichi Kuriyama

1 November 2021 in Urban Forestry & Urban Greening
Verified
Journal Article
Closed access
HKHyerin Kim
Hyerin Kim
YSYasushi Shoji
Yasushi Shoji
TTTakahiro Tsuge
Takahiro Tsuge
TATetsuya Aikoh
Tetsuya Aikoh
KKKoichi Kuriyama
Koichi Kuriyama

1 December 2020 in Journal of Choice Modelling
Verified
Journal Article
Closed access
KKKoichi Kuriyama
Koichi Kuriyama
YSYasushi Shoji
Yasushi Shoji
TTTakahiro Tsuge
Takahiro Tsuge

27 June 2022 in Nature Sustainability
Verified
Journal Article
Closed access
PDF file
KMKayo Murakami
Kayo Murakami
Norihiro ItsuboNorihiro Itsubo
Norihiro Itsubo
KKKoichi Kuriyama
Koichi Kuriyama

15 April 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
TTTakahiro Tsuge
Takahiro Tsuge
YSYasushi Shoji
Yasushi Shoji
KKKoichi Kuriyama
Koichi Kuriyama
AOAyumi Onuma
Ayumi Onuma
With the increase in disasters due to climate change, there has been a growing interest in green infrastructures that utilize nature for disaster risk reduction (DRR). However, green infrastructures cannot completely protect against hazards. Therefore, this study investigates the public preference in Japan for DRR and its uncertainty using a survey-based choice experiment. The results showed that benefits were obtained from the increase in “success probability”, “reduction in human damage”, “reduction in property damage”, and “reduction in indirect damage”; however, the benefits obtained from additional improvements diminished. Moreover, the results of our analyses revealed that preferences for DRR and its uncertainty were heterogeneous among respondents, and the population segment that includes more women, older people, and more people who live in areas that may be directly affected by floods had higher ratings for “success probability” and relatively slightly lower ratings for “reduction in indirect damage”.