摘要
遴选1996-2012年我国(除重庆、港、澳、台外)30个省(市)城镇和农村居民消费支出及国内生产总值的面板数据,基于非参数核估计方法,建立固定效应半参数面板数据模型,对我国东、中、西部城乡居民消费与经济增长关系的区域差异性进行实证分析.计算显示,运用半参数面板数据模型显著提高了估计的精度.分析结果表明,不论是城镇居民消费还是农村居民消费,对经济增长的促进作用均是东部高于中部、中部高于西部;且农村居民消费对经济增长的促进作用又大于城镇居民消费.
In this paper, to aim to investigate the regional differences about residents＇ con- sumption and economic growth between the urban and rural regions, we establish fixed effect semi-parametric econometrics model by using of nonparametric kernel estimation method based on the urban and rural household cons^tmption expenditure and gross domestic product data of 30 provinces in China during 1996-2011. The results show that the estimation accu- racy of the semi-parametric econometrics model is improved significantly. The conclusions are as follows： The order of positive influence of household consumption to economic growth is the eastern, the central and the western regions both in the urban and rural areas. The rural household consumption is more important to the economic growth than the urban household consumption.
出处
《数学的实践与认识》
CSCD
北大核心
2014年第22期89-95,共7页
Mathematics in Practice and Theory
基金
国家社会科学基金(11BTJ017)
国家自然科学基金数学天元基金(11126114)
河南省教育厅自然科学研究计划项目(2010B110009)
关键词
区域差异性
面板数据
半参数模型
核估计
regional differences
panel data
semi-parametric model
kernel estimation
