Hideo Noda | Environmental | Best Researcher Award
Prof. Hideo Noda, Tokyo University of Science, Japan.
Publivation Profiles
SCOPUS
Education and Experience
Ph.D. in Economics – Kyushu University (2004)
M.A. in Economics – Kyushu University (1999)
B.A. in Economics – Kyushu Kyoritsu University (1996)
Professor, Tokyo University of Science (2019–Present)
Associate Professor, Tokyo University of Science (2013–2019)
Associate Professor, Yamagata University (2006–2013)
Assistant Professor, Asahikawa University (2002–2006)
Suitability summary
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 has progressed through various academic and research positions, shaping his expertise in economic modeling, environmental policies, and food economics . His tenure at Tokyo University of Science and previous roles at Yamagata University and Asahikawa University have allowed him to mentor students, publish influential research, and secure competitive grants
. As a recipient of multiple Grant-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (JSPS)
, he has contributed extensively to economic policy and statistical methodologies. His work integrates Bayesian approaches to macroeconomics, fostering a data-driven decision-making framework for economic policies
.
Research Focus
“Reconsidering Agricultural Productivity, Comparative Advantage, and Economic Growth” – Applied Economics Letters, 2024
“An Integrated Approach for Decomposing Time Series Data into Trend, Cycle, and Seasonal Components” – Mathematical and Computer Modelling of Dynamical Systems, 2024 (Cited by: 1
)