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https://elib.bsu.by/handle/123456789/339982| Title: | Import intensity dynamics in Chinese economic sectors: time series clustering of input-output data (1981–2018) |
| Authors: | Parkhimenka, U. Bykau, A. |
| Keywords: | ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Экономика и экономические науки ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика |
| Issue Date: | 2025 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – Pp. 203-206. |
| Abstract: | This paper analyzes the evolution of import intensity in Chinese domestic production across 18 economic sectors (1981–2018). Using Dynamic Time Warping (DTW) time-series clustering on annual input-output tables via the dtwclust R package, we identify four distinct temporal patterns of import dependence. As a pilot study using estimated import matrices derived via the proportionality assumption, these findings provide preliminary insights into China’s sectoral import intensity dynamics |
| URI: | https://elib.bsu.by/handle/123456789/339982 |
| ISBN: | 978-985-881-830-2 |
| Licence: | info:eu-repo/semantics/restrictedAccess |
| Appears in Collections: | 2025. Computer Data Analysis and Modeling: Stochastics and Data Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 203-206.pdf | 310,01 kB | Adobe PDF | View/Open |
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