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Analysis of the Employment Spatial Characteristics of Wuxi City Based on the Big Data from 51job.com

饶加旺; 周秀华; 周松; 马荣华
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摘要

In order to explore the effect of COVID-19 on recruitment jobs, data of February to April 2019 and February to April 2020 from 51job.com of Wuxi city were quickly obtained by web crawl which contained 11 industries. Employment demand change and spatial distribution characteristics were analyzed by statistical analysis, kernel density, and spatial auto-correlation analysis methods. Results showed that: there was bigger negative impact by COVID-19 on Wuxi city labor market, especially for service and accounting/finance; recruitment demand of this city presented a mass of two cores spatial distribution and high demand was shifted to eastern part of Wuxi after COVID-19; the global Moran's I of all industries before and after outbreak of COVID-19 were all positive indicated significant spatial clustering of recruitment demand; H-H cluster type of recruitment demand mainly distributed in the center of Wuxi city; and L-L cluster type mainly concentrated in Yixing; both were increased after COVID-19. From the perspective of the employment demand, this paper provided effective data base and decision support to return to work and production, and optimize the industrial layout.

关键词

新冠肺炎疫情就业空间特征差异性招聘网无锡市Moran’s I指数COVID-19Spatial Characteristics of EmploymentThe Differences51job.comWuxi CityMoran’s I

出版信息

论文状态
公开发表
期刊名称
计算机科学与应用
发表日期
2022
卷
12
期
01
页码
-
DOI
10.12677/CSA.2022.121017

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