(完整)中国城镇居民消费结构分析Word格式.docx

1、1970.941610.703781.513695.981658.371154.18 天 津20024.247343.641881.431854.221151.163083.372254.221556.35899.87 河 北12531.124211.161541.991502.41876.101723.751203.801047.28424.63 山 西12211.533855.561529.471438.88832.521672.291506.20905.88470.72 内蒙古17717.105463.182730.231583.561242.642572.931971.781354.0

2、9798.68 辽 宁16593.605809.392042.401433.281069.652323.291843.891309.62762.07 吉 林14613.534635.272044.801594.14871.461780.671642.701447.50597.00 黑龙江12983.554687.231806.921336.85742.221462.611216.561180.67550.51 上 海26253.479655.602111.171790.481906.494563.803723.741016.651485.53 江 苏18825.286658.371915.97

3、1437.081288.422689.513077.761058.11700.06 浙 江21545.187552.022109.581551.691161.394133.502996.591228.02812.39 安 徽15011.665814.921540.661396.97811.231809.721932.741142.96562.44 福 建18593.217317.421634.211753.861254.712961.782104.83773.22793.17 江 西12775.655071.611476.631173.91966.231501.341487.30670.714

4、27.93 山 东15778.245201.322196.981572.351125.992370.231655.911005.25650.21 河 南13732.964607.471885.991190.811145.421730.351525.331085.47562.13 湖 北14495.975837.931783.411371.15978.261476.981651.921029.55366.78 湖 南14608.955441.631624.571301.601034.302084.151737.64918.41466.65 广 东22396.358258.441520.59209

5、9.751467.204176.662954.131048.28871.30 广 西14243.985552.561146.461377.261125.392088.641626.05883.56444.06 海 南14456.556556.10864.961521.04777.202004.341319.54993.24420.13 重 庆16573.146870.232228.761177.021196.031903.241470.641101.56625.66 四 川15049.546073.861651.141284.091097.931946.721587.43772.75635.6

6、2 贵 州12585.704992.851399.001013.53849.941891.031396.00654.53388.82 云 南13883.935468.171759.89973.76634.092264.231434.30939.13410.35 西 藏11184.335517.691361.57845.18474.691387.45550.48467.23580.05 陕 西15332.845550.711789.061322.22986.821788.382078.521212.44604.69 甘 肃12847.054602.331631.401287.93833.1515

7、75.671388.211049.65478.72 青 海12346.294667.341512.241232.39923.701549.761097.21906.14457.51 宁 夏14067.154768.911875.701193.37929.012110.411515.911063.09610.74 新 疆13891.725238.892031.141166.59950.171660.271280.811027.60536.24资料来源：中国统计年鉴2013四实证分析（一）描述分析（Description analysis）描述分析：在数据分析的时候，一般首先要对数据进行描述性统计

8、分析以发现其内在的规律，再选择进一步分析的方法。描述性统计分析要对调查总体所有变量的有关数据做统计性描述，一般包括均值、中位数、众数、方差、四分位表、峰度、偏度、频数等等，一般什么数据都可以作描述性分析，没有数据类型限制的。首先，根据原始数据我们可以得到，中国居民消费支出中的各项支出与地区间的折线分布图如下图所示：图一：折线图分析：根据该图，我们可以看出8个数据的分布趋势大致是相同的，在上海、浙江、广东等经济发达地区呈现较高值，且食品支出的数值远远大于其他各类支出，其余7个数据的的数据分布是相似的，因而其数据呈现出焦灼之势。然后，根据原始数据表，我们可以得到8类支出所占现金总支出的数据表为：表

9、二：8类支出占总支出的百分比表 支出地区 交通通信文教娱乐医疗保健北 京0.3133720.1097440.0819660.0669850.1572620.1537050.0689670.047999天 津0.3667380.0939580.0925990.0574880.1539820.1125750.0777230.044939河 北0.3360560.1230530.1198940.0699140.1375580.0960650.0835740.033886山 西0.3157310.1252480.117830.0681750.1369440.1233420.0741820.038547

10、内蒙古0.3083560.1541010.089380.0701380.1452230.1112920.0764280.045080辽 宁0.3500980.1230840.0863750.0644620.1400110.1111210.0789230.045926吉 林0.3171900.1399250.1090870.0596340.1218510.1124100.0990520.040853黑龙江0.3610130.139170.1029650.0571660.1126510.0937000.0909360.042401上 海0.3677840.0804150.068200.072619

11、0.1738360.1418380.0387240.056584江 苏0.3536930.1017760.0763380.0684410.1428670.1634910.0562070.037187浙 江0.350520.0979140.072020.0539050.1918530.1390840.0569970.037706安 徽0.387360.1026310.0930590.0540400.1205540.1287490.0761380.037467福 建0.3935530.0878930.0943280.0674820.1592940.1132040.0415860.042659江 西

12、0.3969750.1155820.0918870.0756310.1175160.1164170.0524990.033496山 东0.3296510.1392410.0996530.0713630.1502210.1049490.0637110.041209河 南0.3355050.1373330.0867120.0834070.1260000.1110710.0790410.040933湖 北0.4027280.1230280.0945880.0674850.1018890.1139570.0710230.025302湖 南0.3724860.1112040.0890960.070799

13、0.1426630.1189440.0628660.031943广 东0.368740.0678950.0937540.0655110.1864880.1319020.0468060.038904广 西0.3898180.0804870.0966910.0790080.1466330.1141570.062030.031175海 南0.4535040.0598320.1052150.0537610.1386460.0912760.0687050.029062重 庆0.414540.134480.071020.0721670.1148390.0887360.0664670.037751四 川0.

14、4035910.1097140.0853240.0729540.1293540.1054800.0513470.042235贵 州0.3967080.1111580.080530.0675320.1502520.1109200.0520060.030894云 南0.3938490.1267570.0701360.0456710.1630830.1033060.0676420.029556西 藏0.4933410.1217390.0755680.0424420.1240530.0492190.0417750.051863陕 西0.3620140.1166820.0862350.0643600.1

15、166370.135560.0790750.039438甘 肃0.358240.1269860.1002510.0648510.1226480.1080570.0817040.037263青 海0.3780360.1224850.0998190.0748160.1255240.0888700.0733940.037056宁 夏0.339010.1333390.0848340.0660410.1500240.1077620.0755730.043416新 疆0.3771230.1462120.0839770.0683980.1195150.0922000.0739720.038601平 均0.3

16、705590.1149380.0903010.0656980.1393510.1126890.0673900.039075根据上面所示的百分比表我们可以看到：以全国31个地区的每项支出占其总支出的比例，经计算8个支出的31个省份的平均值，可得食品支出所占比例颇重，平均占37.06%，衣着、居住、交通通信、文教娱乐所比重差不多，均在10%左右，而家庭设备及用品、医疗保健和其他所占比重相交其余几项较少，特别是其他项，仅占3.91%。其次，我们可以根据原始数据表得到全国31个地区的8项消费支出间的合计、均值、方差、均方差，具体结果见下表：表三：全国31个地区的8项消费支出间的合计、均值、方差、均方差

17、表：合计均值方差均方差3005.7332069.8612503.032067.8291566.391146.7551526.4411030.62517717.12214.6381468.46516593.62074.21594.3611826.6911230.2221622.9441299.3293281.6842836.1832353.161917.8452693.1482250.3631876.4581658.7922324.1512140.8161596.9561459.4621972.281429.0261716.621239.611811.9961687.6511826.119154

18、7.4012799.5442461.2861780.4981600.5171807.0691980.1092071.6432001.4161881.1931751.41212585.71573.2131460.911735.4911625.1281398.0411706.5031916.6051544.5951605.8811270.8681543.2861310.6771758.3941312.9771736.4651485.804根据上述表格，我们可以得到每一个地区的8项消费支出间的总值，由此可以看出各地区的实际现金消费支出，以此可以来衡量该地区的经济消费情况；根据均值我们可以得到每一地区的8项消费支出的平均水平，根据方差、协方差可以看出这8种消费支出间的差异程度的大小。最后，再次依据原始数据表，我们就可以得到8项消费支出间在全国31个地区间的合计、均值、方差、均方差，中位数、最大值、最小值以及其相应的地区，具体结果见下表表四：8项消费支出间在全国31个地区间的相关数据表地区180817.155267.2243748.3132314.2170068.585832.8091782.8141411.2361042.3942260.277151237.580158.4380227.96742379.61299.822388.8927283.12