Proceedings of the 2026 5th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2026

2026 5th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2026

📍Guiyang, China🗓️ 17-19 July 2026

Spatiotemporal Evolution, Spatial Correlation and Difference Decomposition: A Study on the Evolution Law of Innovation Ecosystem in Western China

Authors
Hanrui Li1, Xiyue Luo1, Hao Lin2, Ruiyan Zhu2, Aiqi Luo1, Jinyang Liu1, *
1School of Statistics, Chengdu University of Information Technology, Chengdu, 610225, China
2School of Management, Chengdu University of Information Technology, Chengdu, 610225, China
*Corresponding author. Email: lista@ciut.edu.cn
Corresponding Author
Jinyang Liu
Available Online 11 September 2026.
DOI
10.2991/978-94-6239-774-3_21How to use a DOI?
Keywords
innovation ecosystem; spatial-temporal evolution; spatial correlation; gravity center migration; western China
Abstract

Taking 12 provinces in western China as research objects, this paper constructs a regional innovation ecosystem index using the DP2 method based on 2014–2023 panel data. It integrates hierarchical standard deviational ellipses, exploratory spatial data analysis, K-Means optimized nested Theil decomposition, and gravity center model to reveal spatiotemporal evolutionary patterns. Results show a significant core–periphery structure with innovation resources concentrated in Sichuan, Shaanxi, and Chongqing. Spatial agglomeration strengthens continuously; hotspots shift from Chongqing–Shaanxi to a stable Chongqing–Guizhou corridor, and Xinjiang persists as a cold spot. The innovation index grows steadily, and regional differences first expand then converge, mainly arising from intra-provincial imbalance rather than geographic divisions. The gravity center moves northwest, southwest, and then stabilizes, covering three development stages. Robustness tests verify the reliability of conclusions. This study supports innovation ecosystem optimization and regional collaborative innovation in western China.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 5th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2026
Series
Advances in Economics, Business and Management Research
Publication Date
11 September 2026
ISBN
978-94-6239-774-3
ISSN
2352-5428
DOI
10.2991/978-94-6239-774-3_21How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Hanrui Li
AU  - Xiyue Luo
AU  - Hao Lin
AU  - Ruiyan Zhu
AU  - Aiqi Luo
AU  - Jinyang Liu
PY  - 2026
DA  - 2026/09/11
TI  - Spatiotemporal Evolution, Spatial Correlation and Difference Decomposition: A Study on the Evolution Law of Innovation Ecosystem in Western China
BT  - Proceedings of the 2026 5th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2026
PB  - Atlantis Press
SP  - 242
EP  - 251
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-774-3_21
DO  - 10.2991/978-94-6239-774-3_21
ID  - Li2026
ER  -