1、X7X8X9X10北京11.63293.031316.503661.114173.666847.068375.104289.9693997.0023086.41天津16.85612.86846.572079.072549.219130.254470.431285.0268864.007612.31河北313.76758.53654.112295.624409.5823194.2310516.75549.1242532.0023357.17山西75.4961.12352.801701.623030.1311031.895139.29157.9147417.0013339.37内蒙古150.832
2、82.69518.281720.983686.5214217.385114.16119.9551388.007455.17辽宁165.811038.971026.443343.815197.4225107.6610581.441144.7846310.0019659.51吉林97.23481.46463.531156.962744.819979.265426.43258.3243821.007745.33黑龙江403.13-119.39407.611277.403369.1811453.086251.17388.7942744.0010058.60上海1.48173.001245.924109
3、.514528.615647.798051.964412.6891477.0020486.25江苏227.791972.082903.666568.467798.4736373.3220796.525508.0257984.0033823.90浙江116.741130.331656.093796.924730.4720782.1115225.543357.8957310.0028922.97安徽169.36999.12658.342075.084349.6918621.906542.42455.1948929.0012924.91福建159.601127.36770.902119.453068
4、.8015327.448275.351693.2149328.0011847.25江西116.26728.79544.571621.243470.3012850.254576.11367.4743582.009725.17山东460.931686.742523.424559.956688.8036789.0722294.842665.3247652.0029796.08河南289.441134.191132.922415.455582.3126087.4612426.60599.5738804.0020232.12湖北249.39978.461190.192191.224371.6519307
5、.3310885.94363.8044613.0015507.03湖南95.021010.931241.492030.884690.8917841.409018.64251.7543893.0014539.68广东200.251726.523169.287081.478411.0022308.3925453.9310915.8153611.0049891.35广西171.20615.61556.091317.603208.6711907.675133.08328.2742637.009118.91海南44.9366.82179.17481.011011.172697.93992.89149.8
6、545573.002465.38重庆76.73422.74747.621693.243062.2810435.244599.77686.9251015.009622.31四川128.401245.751013.822784.106220.9120326.1110561.45645.7549019.0022597.30贵州137.14566.16451.291206.413082.667373.602366.2082.9049087.005919.05云南240.79508.62662.031611.304096.519968.304004.56253.0444188.008969.81西藏6.
7、4450.0750.131014.31876.00293.2033.1964409.00496.03陕西155.89837.77597.871748.333665.0714884.154999.54201.2848853.0012249.36甘肃98.87220.95297.99607.272309.626527.942173.83102.3644109.005878.47青海30.68111.9764.86223.861228.052361.09544.0814.0352105.001504.17宁夏23.58105.5994.60308.34922.482651.14610.5132.18
8、52185.001887.23新疆147.72284.41422.801128.493067.127732.302108.15275.6149843.005884.50三、数据分析过程（一）相关性分析用SPSS21.0数据处理系统将10项经济指标处理后，得到相关系数矩阵、巴特利特球度检验和KMO检验方法进行分析。分析结果见表2和表3。表2 相关矩阵10.4720.390.3130.5380.7020.5460.077-0.5050.4030.8290.7660.8460.8870.8580.536-0.1630.7720.9590.8950.7580.9550.1990.9230.9050.7
9、180.8860.3150.9510.8540.920.6830.0190.9180.860.378-0.2630.7480.7640.0340.9530.4450.173 根据表2原有变量的相关系数矩阵，可以看到：大部分的相关系数都较均大于0.3，各变量呈较强的线性关系，能够从中提取公共因子，适合进行因子分析。表3 KMO 和 Bartlett 的检验取样足够度的 Kaiser-Meyer-Olkin 度量。.740Bartlett 的球形度检验近似卡方541.977df45Sig.000 Bartlett检验的F值等于541.977，F值显著，Sig.（显著性）小于0.005，表明所取的数据满足正态总体
