amethodtovisualizetheskeletonindustrialstructurewithinputoutputanalysisanditsapplicationinchinajapanandusa

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	amethodtovisualizetheskeletonindustrialstructurewithinputoutputanalysisanditsapplicationinchinajapanandusa
	Liu Xiuli
	2018
发表期刊	journalofsystemssciencecomplexity
ISSN	1009-6124
卷号	31 期号:6 页码:1554
摘要	The paper established a double filtering method (dfm) to visualize the skeleton industrial structure (sis) of one economy and find its evolution rule. different with the previous researches, this method is from a new view of industrial conjunctions combined by leading sectors to depict the industrial structure. it was proved that the leading sector selected by dfm must be key sector selected by hirschman-rasmussen method. applied dfm to input-output tables of china, japan and usa and mfa to japan and usa, the results analysis showed that dfm could overtake the two main shortcomings of minimum flow analysis (mfa), scratch sis of each economy with its own characteristics, visualize the general evolution rules of the industrial structure with crisscrossed conjunctions among leading sectors.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/38481
专题	系统科学研究所
作者单位	中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Liu Xiuli. amethodtovisualizetheskeletonindustrialstructurewithinputoutputanalysisanditsapplicationinchinajapanandusa[J]. journalofsystemssciencecomplexity,2018,31(6):1554.
APA	Liu Xiuli.(2018).amethodtovisualizetheskeletonindustrialstructurewithinputoutputanalysisanditsapplicationinchinajapanandusa.journalofsystemssciencecomplexity,31(6),1554.
MLA	Liu Xiuli."amethodtovisualizetheskeletonindustrialstructurewithinputoutputanalysisanditsapplicationinchinajapanandusa".journalofsystemssciencecomplexity 31.6(2018):1554.