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聚类模型在地方税收分析中的应用——以贵州省经济强县为例
引用本文:崔海波,余杨.聚类模型在地方税收分析中的应用——以贵州省经济强县为例[J].湖北大学学报(自然科学版),2012,34(1):26-30.
作者姓名:崔海波  余杨
作者单位:湖北大学数学与计算机科学学院,湖北武汉,430062
基金项目:贵阳地税风险管理数据建模(070—097491)资助
摘    要:分别利用GDP增幅与税负,税收优惠率与招商引资到位资金,税负、边际税负、税收弹性和地税收入增幅等税收经济指标建立了贵州省27个经济强县地方税收分析的3个聚类模型,并对聚类结果进行解读.

关 键 词:K-均值聚类  地方税收  税负  税收弹性  招商引资到位资金

Application of clustering models in the local tax revenue: a case study of the developed counties in Guizhou Province
CUI Haibo , YU Yang.Application of clustering models in the local tax revenue: a case study of the developed counties in Guizhou Province[J].Journal of Hubei University(Natural Science Edition),2012,34(1):26-30.
Authors:CUI Haibo  YU Yang
Institution:(School of Mathematics and Computer Science,Hubei University,Wuhan 430062,China)
Abstract:Three clustering models were presented about 27 counties in Guizhou Province,where many tax economic indicators including GDP growth and tax burden,rate of tax in contives and attracting in vestment funds,tax burden、tax elasticity、tax growth were used,and the clstering results were interpreted.
Keywords:K-means clustering  tax revenue  tax burden  tax elasticity  attracting investment funds
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