Hideo Noda | Environmental | Best Researcher Award
Prof. Hideo Noda, Tokyo University of Science, Japan.
Publivation Profiles
SCOPUS
Education and Experience
ย Ph.D. in Economicsย โ Kyushu University (2004)
ย M.A. in Economicsย โ Kyushu University (1999)
ย B.A. in Economicsย โ Kyushu Kyoritsu University (1996)
ย Professor, Tokyo University of Scienceย (2019โPresent)ย
ย Associate Professor, Tokyo University of Scienceย (2013โ2019)
ย Associate Professor, Yamagata Universityย (2006โ2013)
ย Assistant Professor, Asahikawa Universityย (2002โ2006)
Suitability summaryย
Professor Hideo Noda, a distinguished researcher at the School of Management, Tokyo University of Science, is an outstanding candidate for the Best Researcher Award due to his exceptional contributions in Applied Econometrics, Bayesian Statistics, Economic Growth, and Environmental Economics. With a Ph.D. in Economics from Kyushu University, his career spans over two decades, marked by cutting-edge research, impactful publications, and prestigious grants from the Japan Society for the Promotion of Science.
Professional Development
Hideo Noda hasย progressed through various academic and research positions, shaping his expertise inย economic modeling, environmental policies, and food economicsย . His tenure atย Tokyo University of Scienceย and previous roles atย Yamagata University and Asahikawa Universityย have allowed him toย mentor students, publish influential research, and secure competitive grantsย
. As a recipient of multipleย Grant-in-Aid for Scientific Researchย from theย Japan Society for the Promotion of Science (JSPS)ย
, he has contributed extensively toย economic policy and statistical methodologies. His work integratesย Bayesian approaches to macroeconomics, fostering aย data-driven decision-making frameworkย for economic policiesย
.
Research Focus
ย “Reconsidering Agricultural Productivity, Comparative Advantage, and Economic Growth”ย โย Applied Economics Letters,ย 2024
ย “An Integrated Approach for Decomposing Time Series Data into Trend, Cycle, and Seasonal Components”ย โย Mathematical and Computer Modelling of Dynamical Systems,ย 2024ย (Cited by:ย 1ย
)