-
2025
City-level population prediction in Japan from 2020 to 2100 by machine learning
Li, C., Keeley, A. R., Takeda, S., Seki, D., Zhang, J., Shi, B., & Managi, S. (2025). City-level population prediction in Japan from 2020 to 2100 by machine learning. Expert Systems with Applications, 285, Article 128005. https://doi.org/10.1016/j.eswa.2025.128005
-
2025
Beyond carbon: Environmental and social impacts of Japan’s vehicle electrification transition
Rinawati, D. I., Keeley, A. R., Itsubo, N., & Managi, S. (2025). Beyond carbon: Environmental and social impacts of Japan’s vehicle electrification transition. Journal of Environmental Management, 383, Article 125509. https://doi.org/10.1016/j.jenvman.2025.125509
-
2025
Quantifying human rights in global supply chain: socially extended input-output analysis (MRSEIO)
Takeda, S., Shimamura, T., Shinohara, N., Iwamoto, M., Seki, D., Keeley, A. R., & Managi, S. (2025). Quantifying human rights in global supply chain: socially extended input-output analysis (MRSEIO). In EcoDesign for Circular Value Creation: Volume II (pp. 511-528). Springer. https://doi.org/10.1007/978-981-97-6958-7_40
-
2025
Investor’s ESG tendency probed by pre‐trained transformers
Li, C., Keeley, A. R., Takeda, S., Seki, D., & Managi, S. (2025). Investor’s ESG tendency probed by pre‐trained transformers. Corporate Social Responsibility and Environmental Management, 32(2), 2051-2071. https://doi.org/10.1002/csr.3055
-
2025
ESG Tendencies From News Investigated by AI Trained by Human Intelligence
Li, C., Keeley, A. R., Takeda, S., Seki, D., & Managi, S. (2025). ESG Tendencies From News Investigated by AI Trained by Human Intelligence. Business Strategy and the Environment, 34(2), 1880-1895. https://doi.org/10.1002/bse.4089
-
2025
Low well-being among middle-aged people: inherent or external factors
Li, C., Mi, J., Zhang, J., Shi, B., Keeley, A., & Managi, S. (2025). Low well-being among middle-aged people: inherent or external factors. Humanities and Social Sciences Communications, 12(1), Article 10. https://doi.org/10.1057/s41599-025-05708-9
-
2025
Forecasts and Insights into Japan’s Fiscal Future: Machine Learning-Based Projections of City-level Taxpayer Numbers and Total Income from 2020 to 2100
Li, C., Keeley, A. R., & Managi, S. (2025). Forecasts and Insights into Japan’s Fiscal Future: Machine Learning-Based Projections of City-level Taxpayer Numbers and Total Income from 2020 to 2100. Machine Learning with Applications, 21, Article 100699. https://doi.org/10.1016/j.mlwa.2025.100699
Japan’s Fiscal Future Projections
-
2024
The impact of fuel cell vehicles deployment on road transport greenhouse gas emissions through 2050: Evidence from 15 G20 countries
Abdullah, Z., Keeley, A. R., Coulibaly, T. Y., & Managi, S. (2024). The impact of fuel cell vehicles deployment on road transport greenhouse gas emissions through 2050: Evidence from 15 G20 countries. Journal of Environmental Management, 370, Article 122660. https://doi.org/10.1016/j.jenvman.2024.122660
-
2024
How corporate climate change mitigation actions affect the cost of capital
Wang, Y., Shen, S., Xie, J., Fujii, H., Keeley, A. R., & Managi, S. (2024). How corporate climate change mitigation actions affect the cost of capital. Corporate Social Responsibility and Environmental Management, 31(6), 5139-5154. https://doi.org/10.1002/csr.2853
研究業績
Publications