Analysis of Distribution Patterns and Competitiveness of the Ethnic
Medicine and Healthcare Industry Using Multi-Source Data
Abstract
The healthcare industry is widely regarded as a key driver of economic
growth and social development in the 21st century. This study employs
multi-source data alongside hybrid analytical techniques, including
Principal Component Analysis (PCA), hotspot analysis, and clustering
analysis, to explore the development factors and spatial patterns of the
ethnic medicine and healthcare industry (EMH) in Yunnan Province, China.
The results indicate that the first five principal components account
for 79.80% of the total variance, providing significant insights into
the industry’s competitive drivers. Using the Porter Diamond Model,
spatial clustering of the EMH sector across Yunnan reveals a distinct
pattern of ”one ring, two points, three areas, and multiple clusters.”
The analysis further shows that industrial competitiveness is closely
linked to the spatial distribution of regional factors, suggesting the
need for a targeted development strategy: ”central innovation, western
optimization, eastern enhancement, northern strengthening, and southern
expansion.” These findings provide valuable recommendations for
policymakers aiming to enhance the EMH sector’s contribution to regional
economic development and healthcare modernization.