Decoding economic forecasts: A novel approach to predict trends through long-term time series analysis of transportation data and GDP causal relationships Cover

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Decoding economic forecasts: A novel approach to predict trends through long-term time series analysis of transportation data and GDP causal relationships

International Journal of Management and Economics

Volume 61 (2025): Issue 3 (September 2025)

By: Makoto Saito , Tetsuaki Oda , Kiminori Gemba and Keiko Kubota

Open Access

|Feb 2025

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DOI: https://doi.org/10.2478/ijme-2024-0038 | Journal eISSN: 2543-5361 | Journal ISSN: 2299-9701

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Language: English

Page range: 174 - 186

Submitted on: Apr 27, 2024

Accepted on: Oct 12, 2024

Published on: Feb 14, 2025

Published by: Warsaw School of Economics

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

correlation analysis,

logistics data,

prediction of economic growth

Related subjects:

Business and economics,

Political economics,

Economic theory, systems and structures,

Business management,

Management accounting, financial controlling, cost calculation, investment

© 2025 Makoto Saito, Tetsuaki Oda, Kiminori Gemba, Keiko Kubota, published by Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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