Yutaka Ito

Yutaka Ito


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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3 November 2015 in Solid Earth
Verified
Journal Article
Open access
ZGZ. Gong
Z. Gong
KKK. Kawamura
K. Kawamura
NIN. Ishikawa
N. Ishikawa
MGM. Goto
M. Goto
TWT. Wulan
T. Wulan
YIYutaka Ito
Yutaka Ito
The Inner Mongolia grassland, one of the most important grazing regions in China, has long been threatened by land degradation and desertification, mainly due to overgrazing. To understand vegetation responses over the last decade, this study evaluated trends in vegetation cover and phenology dynamics in the Inner Mongolia grassland by applying a normalized difference vegetation index (NDVI) time series obtained by the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) during 2002–2014. The results showed that the cumulative annual NDVI increased to over 77.10 % in the permanent grassland region (2002–2014). The mean value of the total change showed that the start of season (SOS) date and the peak vegetation productivity date of the season (POS) had advanced by 5.79 and 2.43 days, respectively. The end of season (EOS) was delayed by 5.07 days. These changes lengthened the season by 10.86 days. Our results also confirmed that grassland changes are closely related to spring precipitation and increasing temperature at the early growing period because of global warming. Overall, productivity in the Inner Mongolia Autonomous Region tends to increase, but in some grassland areas with grazing, land degradation is ongoing.

1 November 2013 in Journal of the Operational Research Society
Verified
Journal Article
Closed access
YIYutaka Ito
Yutaka Ito
SMShunsuke Managi
Shunsuke Managi
AMA Matsuda
A Matsuda
The socially responsible investment (SRI) funds performances remain inconclusive. Hence, more studies need to be conducted to determine if SRI funds systematically underperform or outperform conventional funds. This paper has employed dynamic mean-variance model using shortage function approach to evaluate the performance of SRI and Environmentally friendly funds (EF). Unlike the traditional methods, this approach estimates fund performance considering both the return and risk at the same time. The empirical results show that SRI funds outperformed conventional funds in EU and US. In addition, the results of EU are among the top-performing categories. EF do not perform as well as SRI, but perform in manners equal or superior to conventional funds. These results show statistically significant in some cases.

1 August 2015 in Research in Transportation Economics
Verified
Journal Article
Closed access
YIYutaka Ito
Yutaka Ito
SMShunsuke Managi
Shunsuke Managi

1 March 2014 in International Journal of Disaster Risk Reduction
Verified
Journal Article
Closed access
KIKazuyuki Iwata
Kazuyuki Iwata
YIYutaka Ito
Yutaka Ito
SMShunsuke Managi
Shunsuke Managi

12 December 2019 in Environment, Development and Sustainability
Verified
Journal Article
Closed access
PDF file
SKSatoru Komatsu
Satoru Komatsu
YYYuki Yamamoto
Yuki Yamamoto
YIYutaka Ito
Yutaka Ito
SKShinji Kaneko
Shinji Kaneko
RDRam Prasad Dhital
Ram Prasad Dhital

1 July 2021 in Journal of Cultural Heritage
Verified
Journal Article
Closed access
FKFumiya Kimura
Fumiya Kimura
YIYutaka Ito
Yutaka Ito
TMToshiya Matsui
Toshiya Matsui
HSHidehiko Shishido
Hidehiko Shishido
IKItaru Kitahara
Itaru Kitahara
AMAtsuyuki Morishima
Atsuyuki Morishima