ESDA Analysis of Spatial Characteristics of Scientific and Technological Talents. (April 2020)

• Record Type: Journal Article
• Authors: Li, Xiankun
• Is Part Of: Journal of physics. Volume 1533:Number 2(2020)
• Publication Date: 2020-04
• Subjects: ESDA -- LISA -- Scientific and Technological Talents -- Shandong Province; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1533/2/022108
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: This paper uses exploratory spatial data analysis (ESDA) to study the spatial distribution pattern and spatial correlation of scientific and technological personnel in Shandong province by selecting the panel data of the full-time R&D personnel in 17 cities of Shandong province in China from 2009 to 2018. The results show that the distribution pattern of the talents in Shandong province tends to be discrete and random in general, and the test results of Moran' s I measured by global autocorrelation are not significant. From the local spatial autocorrelation analysis, Moran scatter plots show that the distribution of the talents in Shandong province has certain spatial differences and most cities did not pass local indicators of spatial association (LISA) test. The plots further show the heterogeneity of the spatial distribution of scientific and technological talents in Shandong province, which makes it clear that the core areas of the cities under the jurisdiction of Jinan-Qingdao metropolitan area are mostly positive spatial autocorrelation, while most peripheral areas show negative spatial autocorrelation.