识别关键行业的一种新方法：主成分分析

Q1 Economics, Econometrics and Finance

Journal of Economic Structures Pub Date : 2021-11-22 DOI:10.21203/rs.3.rs-1053053/v1

Lefteris Tsoulfidis, I. Athanasiadis

{"title":"识别关键行业的一种新方法：主成分分析","authors":"Lefteris Tsoulfidis, I. Athanasiadis","doi":"10.21203/rs.3.rs-1053053/v1","DOIUrl":null,"url":null,"abstract":"This article using the principal components analysis identifies key industries and groups them into particular clusters. The data come from the US benchmark input–output tables of the years 2002, 2007, 2012 and the most recently published input–output table of the year 2019. We observe some intertemporal switches of industries both between and within the top clusters. The findings further suggest that structural change is a slow-moving process and it takes time for some industries to move from one cluster to the other. This information may be proved important in the designation of effective economic policies by targeting key industries and also for the stability properties of the economic system.","PeriodicalId":37562,"journal":{"name":"Journal of Economic Structures","volume":"11 1","pages":"1-23"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new method of identifying key industries: a principal component analysis\",\"authors\":\"Lefteris Tsoulfidis, I. Athanasiadis\",\"doi\":\"10.21203/rs.3.rs-1053053/v1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article using the principal components analysis identifies key industries and groups them into particular clusters. The data come from the US benchmark input–output tables of the years 2002, 2007, 2012 and the most recently published input–output table of the year 2019. We observe some intertemporal switches of industries both between and within the top clusters. The findings further suggest that structural change is a slow-moving process and it takes time for some industries to move from one cluster to the other. This information may be proved important in the designation of effective economic policies by targeting key industries and also for the stability properties of the economic system.\",\"PeriodicalId\":37562,\"journal\":{\"name\":\"Journal of Economic Structures\",\"volume\":\"11 1\",\"pages\":\"1-23\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Economic Structures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21203/rs.3.rs-1053053/v1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Structures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21203/rs.3.rs-1053053/v1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}

引用次数: 1

摘要

本文使用主成分分析确定关键行业，并将其分组到特定的集群中。数据来自美国2002年、2007年、2012年的基准投入产出表和最新公布的2019年投入产出表。我们观察到一些行业在顶级集群之间和内部的跨期转换。研究结果进一步表明，结构变化是一个缓慢的过程，一些产业从一个集群转移到另一个集群需要时间。这些信息对于制定针对关键行业的有效经济政策以及经济系统的稳定性具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A new method of identifying key industries: a principal component analysis

This article using the principal components analysis identifies key industries and groups them into particular clusters. The data come from the US benchmark input–output tables of the years 2002, 2007, 2012 and the most recently published input–output table of the year 2019. We observe some intertemporal switches of industries both between and within the top clusters. The findings further suggest that structural change is a slow-moving process and it takes time for some industries to move from one cluster to the other. This information may be proved important in the designation of effective economic policies by targeting key industries and also for the stability properties of the economic system.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Economic Structures Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)

CiteScore

7.70

自引率

0.00%

发文量

审稿时长

13 weeks

期刊介绍： The Journal of Economic Structures is a peer-reviewed international journal that publishes theoretical and empirical articles that apply to a wide range of formal analytical instruments and statistical techniques to explore the structural interdependencies among various activities immanent in the economy. We collect manuscripts dealing with broad issues, covering subjects such as technological innovations and lifestyle changes, trade and commerce, networks, ecology and development, among others, where structural understanding is essential. The journal supports communication among various related disciplines and encourages contributions from regional practitioners. The journal also welcomes proposals for special issues reflecting the trends in structural economics and other related disciplines.