Google Scholar: 860 Citations; h-index: 11; i10-index: 12.
Articles
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Yi, J., Dai, S., Cheng, J., & Dai, Y. 2024. Heterogeneous effect of renewable energy policies on resource misallocation: Evidence from Chinese zombie firms. The Energy Journal. Forthcoming.
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Dai, S., Fang, Y.H., Lee, C.Y. & Kuosmanen, T. 2024. pyStoNED: A Python package for convex regression and frontier estimation. Journal of Statistical Software. Forthcoming.
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Yi, J., Dai, S., Li L., & Cheng, J. 2024. How does digital economy development affect renewable energy innovation? Renewable and Sustainable Energy Reviews, 192, 114221.
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Liao, Z., Dai, S.*, & Kuosmanen T. 2024. Convex Support Vector Regression. European Journal of Operational Research, 313, 858-870.
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Yi, J., Dai, S., Cheng, J., & Liu, K. 2023. How urban sprawl affects local and adjacent ecosystem services? Evidence from a spatial analysis of China. Regional Environmental Change, 23, 139.
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Dai, S., Kuosmanen, T., & Zhou, X. 2023. Non-crossing convex quantile regression. Economics Letters, 233, 111396.
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Dai, S., Kuosmanen, T. & Zhou, X. 2023. Generalized quantile and expectile properties for shape constrained nonparametric estimation. European Journal of Operational Research, 310, 914-927.
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Kuosmanen, T., Tan, Y. & Dai, S. 2023. Performance analysis of English hospitals during the first and second waves of the coronavirus pandemic. Health Care Management Science, 26, 447–460.
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Dai, S. 2023. Variable selection in convex quantile regression: L1-norm or L0-norm regularization? European Journal of Operational Research, 305, 338-355.
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Yi, J., Dai, S., Cheng, J., Wu, Q. & Liu, K. 2021. Production quota policy in China: Implications for sustainable supply capacity of critical minerals. Resources Policy, 72, 102046.
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Dai, S., Zhou, X. & Kuosmanen, T. 2020. Forward-looking assessment of the GHG abatement cost: Application to China. Energy Economics, 88, 104758.
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Kuosmanen, T., Zhou, X. & Dai, S. 2020. How much climate policy has cost for OECD countries? World Development, 125, 104681.
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Cheng, J., Yi, J., Dai, S. & Xiong, Y. 2019. Can low-carbon city construction facilitate green growth? Evidence from China’s pilot low-carbon city initiative. Journal of Cleaner Production, 231, 1158-1170. [ESI top 1%; Highly cited paper]
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Dai, Q., Ye, X., Wei, Y.D., Ning, Y. & Dai, S. 2018. Geography, ethnicity and regional inequality in Guangxi Zhuang autonomous region, China. Applied Spatial Analysis and Policy, 11, 557-580.
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Chen, J., Cheng, J. & Dai, S. 2017. Regional eco-innovation in China: An analysis of eco-innovation levels and influencing factors. Journal of Cleaner Production, 153, 1-14.
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Cheng, J., Dai, S.* & Ye, X. 2016. Spatiotemporal heterogeneity of industrial pollution in China. China Economic Review, 40, 179-191.
Preprints
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Liao, Z., Dai, S.*, Lim, E. & Kuosmanen, T. 2024. Overfitting reduction in convex regression. arXiv:2404.09528.
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Kuosmanen, T. & Dai, S.* 2023. Modeling economies of scope in joint production: Convex regression of input distance function. arXiv:2311.11637.
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Dai, S., Kuosmanen, N., Kuosmanen, T. & Liesiö, J. 2023. Optimal resource allocation: Convex quantile regression approach. arXiv:2311.06590.
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Dai, S., Kuosmanen, T. & Zhou, X. 2023. Can Omitted Carbon Abatement Explain Productivity Stagnation? Quantile Shadow-Price Fisher Index Applied to OECD Countries. Available at SSRN: https://ssrn.com/abstract=4489827 or http://dx.doi.org/10.2139/ssrn.4489827.
Technical reports
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Kuosmanen, T., Kauria, E., Kantola, S., Dai, S., Virtanen, T., & Kauppi, H. 2024. Liikennejärjestelmän saavutettavuusvaikutukset työmarkkinoilla : Rekisteriaineistojen hyödyntäminen vaikutusarvioinnissa. Prime Minister’s Office of Finland.
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Kuosmanen, T., Kuosmanen, N., & Dai, S. 2022. Kohtuullinen muuttuva kustannus sähkön jakeluverkkoyhtiöiden valvontamallissa: Ehdotus tehostamiskannustimen kehittämiseksi 6. ja 7. valvontajaksoilla vuosina 2024-2031. Energiavirasto, Finland.
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Dai, S., Kuosmanen, N., Kuusi, T., Kuosmanen, T. (Editor), Liesiö, J., & Maczulskij, T. 2022. Misallocation of labor and capital in Finland’s business sector. Prime Minister’s Office of Finland.
Thesis
- Dai, S. 2022. Essays on Convex Regression and Frontier Estimation. Aalto University publication series DOCTORAL THESES, 111/2022.