| Issue |
SHS Web Conf.
Volume 169, 2023
4th International Symposium on Frontiers of Economics and Management Science (FEMS 2023)
|
|
|---|---|---|
| Article Number | 01032 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/shsconf/202316901032 | |
| Published online | 29 May 2023 | |
Spatio-temporal Agglomeration and Coupling Effects of Inputs and Outputs in China’s Biomedical Industry
1 Center for Medical Science Technology and Education Development, Hangzhou, Zhejiang 310002, China
2 Leuven Statistics Research Centre (LStat), KU Leuven, Leuven 3000, Belgium
3 Institute of Basic Medicine and Cancer, Chinese Academy of Sciences 310000, China
* Corresponding author: kjzxgyc@163.com
Biomedical industry is one of the major development industries in the world and academics are interested in the inputs and outputs of biomedical industry. We used the inputs and outputs data of biomedical industry of 31 provinces and municipalities in China from 2009 to 2020 (except 2017). Using the Theil index and Moran’s I, the spatial distribution and agglomeration of the inputs and outputs of the biomedical industry among 31 provinces and municipalities were analyzed. To examine the coupling effects and possible relevant factors for the inputs and outputs of the biomedical industry, the coupling coordination degree (CCD) and spatial lag model (SLR) were used. The overall development of the biomedical industry in China’s 31 provinces and municipalities was found to be relatively balanced, with a high concentration in Jiangsu, Shandong, Zhejiang, and other provinces. Moreover, there is a widening development disparity between provinces. Government investment and enterprise investment have a significant impact on the development of the biomedical industry, with enterprise R&D capital investment being the most influential factor. In the meantime, the development of the biomedical industry has a close relationship with the investment and development levels of neighboring provinces.
Key words: Biomedical Industry / Inputs and Outputs / Spatio-temporal Agglomeration / Coupling Coordination Degree / Moran’s I / Spatial Lag Model
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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