摘要
文章结合空间马尔科夫链改进了金融支持效率的时空分析方法，实施了马尔科夫链-MCMC样本抽取基础上的SVM向量累积。结果证实，我国产业金融支持效率的中、高水平在2009-2015年问表现出相对稳定性，且总体上金融支持发展的效应存在时序累积差异和空间差别；我国东部区域主要以前期的金融产业发展和后期的资本累积类型为主获得了金融支持效应，中部区域和西部区域相对集中于资本累积途径的金融支持，但总体水平较低。
This paper adopts spatial Markov chain to improve the spatial analysis method of financial support rate, and realiz- es the SVM vector accumulation on the basis of Markov-MCMC sample selection. The result confirms that the medium and high level of financial support efficiency are relatively stable from 2009 to 2015, and on the whole there exists difference of temporal ac- cumulation and space in the financial support efficiency; the eastern regions gain financial support through financial industries＇ development in the earlier stages as well as the later period of capital accumulation, while the central and western regions mainly ~ain the financial support from the capital accumulation with a relatively lower level.
出处
《统计与决策》
CSSCI
北大核心
2018年第1期152-156,共5页
Statistics & Decision
基金
国家统计局研究项目(2015JL20)
河南省科技厅软科学项目(15240041047)
河南省软科学研究项目(162400410210)
关键词
金融支持
时空演变
空间马尔科夫链
financial support
spatial evolution
spatial Markov chain
