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海南城乡居民消费水平差异性分析和预测
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  • 英文篇名:Analysis and Forecast on the Difference of Consumption Level between Urban and Rural Residents in Hainan
  • 作者:孔朝莉
  • 英文作者:KONG Zhao-li;College of Science and Technology,Sanya University;
  • 关键词:城乡居民 ; 可支配收入 ; 消费水平 ; 自回归模型 ; GM(1 ; 1)模型
  • 英文关键词:urban and rural residents;;disposable income;;consumption level;;autoregressive model;;GM(1,1)model
  • 中文刊名:CYYK
  • 英文刊名:Science Technology and Industry
  • 机构:三亚学院理工学院;
  • 出版日期:2019-06-25
  • 出版单位:科技和产业
  • 年:2019
  • 期:v.19
  • 基金:海南省自然科学基金资助项目(20151007)
  • 语种:中文;
  • 页:CYYK201906006
  • 页数:5
  • CN:06
  • ISSN:11-4671/T
  • 分类号:43-47
摘要
从1985—2018年海南城乡居民收入、消费数据出发,分别建立消费关于收入、消费差距关于收入差距的自回归模型,结果表明农村居民当期消费更易受近期收入和消费水平的影响,具有不稳定性。再利用GM(1,1)模型预测城乡居民收入差距,结合自回归模型,完成未来10年海南城乡消费差距的预测:收入差距和消费差距将呈直线递增趋势,收入差距的增幅高于消费差距增幅。缩小海南城乡居民消费差距的根本途径在于缩小收入差距,应因地制宜,切实提高农民收入水平。
        Based on the income and consumption data of urban and rural residents in Hainan from 1985 to 2018,firstly this paper established autoregressive models of consumption on income,then by contrasting the autoregressive models,the paper got the conclusion that the rural residents' current consumption level was more susceptible to the influence of recent income and consumption level than the urban residents',indicating that rural residents' consumption level was more unstable.Then the paper established autoregressive model of the consumption gap on the income gap.By establishing GM(1,1)model the paper got forecast values of the income gap of the next 10 years,which realized the forecasting of the consumption gap through the previous autoregressive model.The forecasting results indicated that the income gap and consumption gap would increase linearly,and the increasing speed of income gap would be faster than that of the consumption gap.At last the paper pointed out that the way to narrow the consumption gap lied in narrowing the income gap,and that the local government should take measures to improve the farmers' income according to local conditions.
引文
[1]李凤升,孙彦彬,赵俊平.城乡居民消费与收入关系比较研究——基于状态空间模型的中国统计数据分析[J].经济问题探索,2011(7):103-106.
    [2]孔朝莉.海南省城乡居民消费水平差异性分析——基于误差修正模型[J].安徽农业科学,2016,44(26):204-209,212.
    [3]海南省统计局,国家统计局海南稽查总队.海南统计月报[EB/OL].[2018-12-20].http://stats.hainan.gov.cn/tjj/tjsu/jdsj/.
    [4]海南省统计局,国家统计局海南稽查总队.海南统计年鉴2018[EB/OL].[2018-12-20].http://stats.hainan.gov.cn/tjj/tjsu/ndsj/.
    [5]海南省人民政府.调查信息[EB/OL].[2018-12-20].http://www. hainan. gov. cn/hn/zwgk/tjdc/hndc/zhfx/201901/t20190125_3094447.html.

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