KMS Of Academy of mathematics and systems sciences, CAS
| Measuring industrial upgrading: applying factor analysis in a global value chain framework | |
| Tian, Kailan1,2; Dietzenbacher, Erik3; Jong-A-Pin, Richard3 | |
| 2019-05-03 | |
| Source Publication | ECONOMIC SYSTEMS RESEARCH
 |
| ISSN | 0953-5314 |
| Pages | 23 |
| Abstract | A key question for promoting international competition is how to improve the position of countries and industries in global value chains (GVCs). The first step is to properly measure industrial upgrading in GVCs. This is not a trivial issue because upgrading has not been defined unambiguously. Several authors have used different (and sometimes related) measures, all of which indicate certain aspects of upgrading. Rather than trying to find the single, ultimate measure of upgrading, we propose a different approach. We examine the multidimensionality of industrial upgrading, using eight indicators in factor analysis. Four of the eight indicators adopt the GVC perspective and include, for example, the growth of the share in value-added exports. We provide three quantitative dimensions of industrial upgrading: process upgrading, product upgrading, and skill upgrading. With these dimensions, we compare and analyze the upgrading of different countries and industries using the World Input-Output Database. |
| Keyword | Industrial upgrading factor analysis global value chains world input-output tables |
| DOI | 10.1080/09535314.2019.1610728 |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[71673269] ; Junior Fellowships for Advanced Innovation Think-tank Programme, China Association for Science and Technology[DXB-ZKQN-2017-046] |
| WOS Research Area | Business & Economics |
| WOS Subject | Economics |
| WOS ID | WOS:000471554000001 |
| Publisher | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/35012 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Tian, Kailan |
| Affiliation | 1.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Univ Groningen, Fac Econ & Business, Groningen, Netherlands |
| Recommended Citation GB/T 7714 | Tian, Kailan,Dietzenbacher, Erik,Jong-A-Pin, Richard. Measuring industrial upgrading: applying factor analysis in a global value chain framework[J]. ECONOMIC SYSTEMS RESEARCH,2019:23. |
| APA | Tian, Kailan,Dietzenbacher, Erik,&Jong-A-Pin, Richard.(2019).Measuring industrial upgrading: applying factor analysis in a global value chain framework.ECONOMIC SYSTEMS RESEARCH,23. |
| MLA | Tian, Kailan,et al."Measuring industrial upgrading: applying factor analysis in a global value chain framework".ECONOMIC SYSTEMS RESEARCH (2019):23. |
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