摘要
通过区位熵指数对2001-2010年我国信息服务业人才集聚优势分析发现:东西中部地区呈现依次分布格局;京津冀、珠三角、长三角地区人才优势呈现依次减弱格局。并运用θi指数法分别对2001-2010年我国30省信息服务业劳动生产率、资本要素禀赋进行了差异比较分析。通过Spearman等级相关系数分析,发现劳动生产率、资本要素禀赋排序显著性相关,相关系数为0.329。通过劳动生产率与资本要素禀赋面板数据模型的Hausman检验,显示固定效应模型更适合,回归系数为0.7536,表示提高资本劳动要素配置结构有利于提高劳动生产率。最后,运用灰色关联分析方法,劳动生产率、资本要素禀赋角度对30省信息服务业产业集聚进行综合评价。
The paper empirically analyzes the advantages of concentrating talents of information service industry in China from 2001 to 2010 by location entropy index and concludes that the eastern region is best, the next is the western region, and the last one is the middle re- gion. The Jing-Jin-Ji, Yangtze River Delta and Pearl River Delta present weakened in turn. The paper makes a difference comparative a- nalysis on labor productivity and capital factor endowment of 30 provinces in China from 2001 to 2010 by＇means of 0i index. Through Spearman rank correlation coefficient analysis, the paper finds that the rank between labor productivity and capital factor endowment is sig nificantly related ~ and the correlation coefficient is 0. 329. Fixed effects model is more suitable by Hausman test for the paneled model be- tween labor productivity and capital factor endowment and the regression coefficient is 0. 7536. This means that improving allocation structure of capital and labor can increase labor productivity. At last, the paper evaluates industrial agglomeration level of information serv ice industry of 30 provinces in China by using grey clustering method from the perspective of labor productivity and capital factor endow- meat.
出处
《情报杂志》
CSSCI
北大核心
2012年第10期165-169,共5页
Journal of Intelligence
关键词
信息服务业
劳动生产率资本要素禀赋产业集聚水平
information service industry labor productivity capital factor endowment industrial agglomeration level
