基于GIS的中国城镇家庭消费的空间自相关性研究

对全国主要地区的各项消费性支出进行了全局空间自相关分析和局域空间自相关分析.全局空间自相关分析表明,食品支出、居住支出、教育文化娱乐支出、医疗支出、家庭设备及服务、总消费性支出、恩格尔系数等表现为明显的全局自相关性,而衣着、杂项商品和服务支出方面在空间上倾向于随机状态.局域空间自相关分析表明,各项支出表现出不同的局域自相关性,其中食品支出表现为南北差异,居住、教育文化娱乐支出表现为东西部差异,医疗保健支出表现为以华北为高值中心和以青海为低值中心;恩格尔系数表现为以内蒙古、河北、山西、黑龙江为低值中心,以云南为高值中心.

On spatial autocorrelation of Chinese urban household consumption

Information of the spatial patterns of urban household consumption is necessary for companies as well as governments.In this paper,global spatial autocorrelation analysis is conducted,and the results show that total household consumption,food consumption,etc.have positive spatial autocorrelation,while distribution pattern of costume consumption and miscellaneous consumption seems random.Results of local spatial autocorrelation analysis show the local autocorrelation of provinces,which indicates a series of high or low center of certain consumption term.We point out that spatial autocorrelation analysis can provide a fresh perspective for the study of household consumption and more research is needed to reveal the spatial autocorrelation of household consumption at other scale levels.