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https://elib.bsu.by/handle/123456789/339957| Заглавие документа: | A method to evaluate the economic growth quality of high-tech industry in China and its regional linkage |
| Авторы: | Jiacheng, G. Zhalezka, B. A. |
| Тема: | ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Экономика и экономические науки ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика |
| Дата публикации: | 2025 |
| Издатель: | Minsk : BSU |
| Библиографическое описание источника: | 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. 95-98. |
| Аннотация: | Based on China’s provincial panel data, this study uses entropy weight model and vector autoregressive model to measure the economic growth quality of high-tech industries in China and test the interaction effect among regions. It is found that the quality of economic growth of high-tech industries in China has shown a steady growth trend during the study period, but there are obvious differences in the growth level among regions. The economic growth quality of high-tech industries in the eastern region is obviously stronger than that in the central region and the western region. In addition, the economic growth quality of high-tech industries in the eastern region is likely to have a siphon effect on the central region and the western region, while the central region is likely to have a radiation effect on the western region |
| URI документа: | https://elib.bsu.by/handle/123456789/339957 |
| ISBN: | 978-985-881-830-2 |
| Лицензия: | info:eu-repo/semantics/restrictedAccess |
| Располагается в коллекциях: | 2025. Computer Data Analysis and Modeling: Stochastics and Data Science |
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