Xinjiang Industrial Economic Forecast Model——From Keqiang Index

  • Chen Xiaokun ,
  • Wang Jingyi
Expand
  • Xinjiang University of Finance and Economics, Urumqi 830012, China

Received date: 2015-09-25

  Online published: 2020-12-10

Abstract

Based on the existing research achievements of scholars at home and abroad, this paper, with the quarterly data from 2003—2013 parameters related to Keqiang Index in Xinjiang as the object of study, using the nonparametric regression model and log-linear regression model to model, predicts the change of industrial added value, as well as the influence of industrial added value on macroeconomic development. The result shows that the model built on the basis of relevant parameters of Keqiang Index can reflect industrial economic changes rapidly, and forecast effects towards industrial added value by using these models are pretty good.

Cite this article

Chen Xiaokun , Wang Jingyi . Xinjiang Industrial Economic Forecast Model——From Keqiang Index[J]. Finance & Economics of Xinjiang, 2016 , 0(1) : 41 -48 . DOI: 10.16716/j.cnki.65-1030/f.2016.01.005

References

[1]何川.关于我国工业增加值的统计建模与预测[D].大连:辽宁师范大学,2006.
[2]叶允最.广西工业总产值与克强指数的关系研究[J].中国证券期货,2013,(6):186-187.
[3]张潇方,张应应.克强指数反映中国经济现实状况的优越性研究[J].统计与决策,2014,(22):30-32.
[4]陆伟军,宋泽龙.中国国内生产总值增长率的相关因素分析——基于克强指数的研究[J].经济视野,2014,(13):188-189.
[5]吴喜之,赵博娟.非参数统计[M].北京:中国统计出版社,2013.
[6]何晓群,刘文卿.应用回归分析[M].北京:中国人民大学出版社,2013.
[7]王建军,宋香荣.多元统计理论、实验与案例[M].北京:中国统计出版社,2014.
[8]余剑秋.关于克强指数变量对经济增长贡献程度计量研究[J].合作经济与科技,2015,(11):12-14.
[9]祝煦,黄正勇.修正的克强指数与GDP 增长率时间序列建模分析[J].洛阳师范学院学报,2014,(11):111-115.
[10]陈飞,高铁梅.结构时间序列模型在经济预测方面的应用研究[J].数量经济技术经济研究,2005,(2):95-103.
[11]李闽榕,黄茂兴,李军军.省域经济综合竞争力预测模型的构建与精确度验证[J].管理世界,2009,(2):1-11.
Outlines

/