皖江城市带县域经济梯度分析及发展研究被引量：2

Research on county gradient economy of Wanjiang City Belt

下载PDF

导出

摘要采用因子分析和聚类分析对皖江城市带各个县域的经济做实证研究。从经济、资源和民生三方面共选择了18个代表性的测量指标,进行因子分析,采用主因子得分聚类分析进行梯度经济划分。研究发现皖江城市带的县域经济梯度差异明显。最后分别针对不同的发展水平的县域依据其经济特征给出相应的政策建议。 This paper employs factor analysis and cluster analysis to investigate the county gradient economy of Wanjiang City Belt. 18 measure items related to economy, resource, and people life are chosen and used in factor analysis. Then the principle component scores and cluster analysis are employed to classify the gradients of county economy in Wanjiang City Belt. The results showed that the gradient difference of county economy in Wanjiang City Belt is obvious. Finally, policy implications about county e- conomic development of Wanjiang City Belt are presented.

作者林雪勤张琼

机构地区安徽师范大学数学计算机科学学院安徽师范大学经济管理学院

出处《阜阳师范学院学报（自然科学版）》 2015年第3期94-100,共7页 Journal of Fuyang Normal University(Natural Science)

基金安徽省高校省级自然科学基金项目(KJ2012Z125) 安徽师范大学重大项目(FRZD201302)资助

关键词皖江城市带县域梯度经济因子分析聚类分析 Wanjiang City Belt county gradient economy factor analysis cluster analysis

分类号 F224 [经济管理—国民经济] F061.5 [经济管理—政治经济学]

引文网络
相关文献

参考文献8

1高歌,范玉波.分层整群抽样的Warner模型RRT技术及其对大学生婚前性行为调查中的应用[J].数理统计与管理,2010,29(1):185-190. 被引量：8
2Cruyff M J,Van D A,Van D H.Prandomized-response models taking self-protective response[J].Sociological Methods and Research,2007,36(2):266-282.
3Horvitz D G,Shah B V,Simmons W R.The Unrelated Question Randomized Response Model[J].Proceedings of the Social Statistics Section.1967,326:65-72.
4Greenberg B.G.,Abulela E..The Unrelated Question Randomized Response Model:Theoretical Framework[J].Journal of the American Statistical Association.1969,64(326):520-539.
5Abdelfatah S,Mazloum R,Singh S.An alternative randomized response model using two decks of cards[J].Statistica,2011,71(3):381-390.
6孟岩,张燃.国际石油价格波动与我国宏观经济：基于VAR的分析[J].财贸经济,2008,29(10):12-15. 被引量：28
7Koenker R, Bessett G W. Regxession Quantile [ J ]. Econometrica, 1978, 46:33-50.
8Engle R F, Granger C J. Co-integration and Error Cor- rection: Representation, Estimation, and Testing [ J ]. Econometrica, 1987, 55(2): 251-276.

二级参考文献13

1黄运成,李畅,马卫锋.中国石油价格风险管理的困境与选择[J].世界经济研究,2005(10):22-26. 被引量：17
2李畅,杨再斌.国际石油价格波动特点及影响因素的实证分析[J].资源科学,2007,29(1):178-183. 被引量：23
3Cochran W G.抽样技术[M].张尧庭,吴辉,译.北京:中国统计出版社,1987:22,93-95,432,491.
4Hamilton, J. D. ,Oil and the macroeconomy since World War Two. JournalofPolitical Economy, 91, 1983, pp. 228-248.
5Blanchard, Olivier, and Jordi Gali, The Macroeconomie Effects of Oil Price Shocks: Why are the 2000s so different from the 1970s? Working Paper of NBER, 2007.
6Kilian, Lutz, Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market. CEPR Discussion Paper 5994, 2006.
7Robert B. Barsky and Lutz Kilian, Oil and the Macroeconomy Since the 1970s. Journal of Economic Perspective, Vol. 18, No. 4,2004.
8[美]汉密尔顿著.《时间序列分析》,靳云汇等译,中国社会科学出版社1999年版,第378-379页.
9丁元林,高歌主编.卫生统计学(1版)[M].北京:科学出版社,2008.
10Wang J F, Gao G. The estimation of sampling size in multi-stage sampling and its application in medical survey [J]. Applied Mathematics and Computation, 2006, (178): 239--249.