中国城乡居民信息消费的半参数估计分析#

发布时间：2018-10-17 19:51

【摘要】：以中国1993-2008年30个省份的面板数据为研究对象,通过构建中国城镇和农村居民信息消费的半参数模型,对信息消费的恩格尔曲线、总消费支出和价格指数对信息消费支出份额的边际影响进行了非参数估计,并在此基础上分析比较中国城乡居民信息消费的差异性。实证结果表明:地区经济发展水平仅对农村信息消费支出有显著影响,而居民受教育水平、居民总消费支出以及价格水平均对城乡居民信息消费支出有显著影响;居民总消费支出和价格水平变量对城乡居民信息消费支出的边际影响均存在一个极大值水平;价格水平对农村居民信息消费支出的负效应要大于总消费支出对信息消费支出的正效用,而城镇居民信息消费中没有表现出这一特征。通过控制价格水平、增加农村居民收入、增加农村基础设施投入等方式,可以缩小城乡居民信息消费的差异。
[Abstract]:Based on panel data of 30 provinces in China from 1993 to 2008, the Engel curve of information consumption is analyzed by constructing a semi-parametric model of information consumption of urban and rural residents in China. Based on the nonparametric estimation of the marginal influence of total consumption expenditure and price index on the share of information consumption, this paper analyzes and compares the differences of information consumption between urban and rural residents in China. The empirical results show that: the level of regional economic development only has a significant impact on rural information consumption expenditure, while the education level of residents, the total consumption expenditure of residents and the price level all have a significant impact on the information consumption expenditure of urban and rural residents; There is a maximum level of the marginal influence of the total consumption expenditure and price level variables on the information consumption expenditure of urban and rural residents. The negative effect of price level on rural residents' information consumption expenditure is greater than the positive effect of total consumption expenditure on information consumption expenditure, which is not shown in urban residents' information consumption. By controlling the price level, increasing the income of rural residents and increasing the input of rural infrastructure, the difference of information consumption between urban and rural residents can be reduced.
【作者单位】：中山大学国际商学院;中山大学岭南学院;
【基金】：国家自然科学基金项目《Tobit模型的非参数和半参数估计研究及其应用》(70971143) 广东高校优秀青年创新人才培养计划项目《考虑流动性约束和不确定性的广东省城镇居民消费研究》(wym 11004)
【分类号】：F126.1;F49;F224

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