Positioning in Global Value Chains: World Map and Indicators, a New Dataset Available for GVC Analyses

M. Mancini, P. Montalbano, S. Nenci, D. Vurchio
{"title":"Positioning in Global Value Chains: World Map and Indicators, a New Dataset Available for GVC Analyses","authors":"M. Mancini, P. Montalbano, S. Nenci, D. Vurchio","doi":"10.1093/wber/lhae005","DOIUrl":null,"url":null,"abstract":"\n This work reviews and computes the commonly used Global Value Chains (GVC) positioning indicators found in the empirical literature, providing scholars with a novel and comprehensive global dataset of upstreamness and downstreamness measures. This dataset covers a wide range of countries, including many developing nations, and industries, and spans an extensive timeframe. Specifically, it offers GVC positioning indicators for all economies and industries included in prominent Inter-Country Input-Output tables, such as ADB, EORA, OECD TiVA, WIOD, and Long-run WIOD. This work also delves into the degree of comparability across the different datasets, offering informative comparisons of the GVC positioning measures encompassing overlapping countries and periods, sectors, geographical regions, and income levels. Notably, these indicators are “ready-to-use” and open access, presenting an exceptional opportunity for qualitative and quantitative analyses of various economic dimensions on GVCs and for informing policymaking.","PeriodicalId":361118,"journal":{"name":"The World Bank Economic Review","volume":"31 16","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The World Bank Economic Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/wber/lhae005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

This work reviews and computes the commonly used Global Value Chains (GVC) positioning indicators found in the empirical literature, providing scholars with a novel and comprehensive global dataset of upstreamness and downstreamness measures. This dataset covers a wide range of countries, including many developing nations, and industries, and spans an extensive timeframe. Specifically, it offers GVC positioning indicators for all economies and industries included in prominent Inter-Country Input-Output tables, such as ADB, EORA, OECD TiVA, WIOD, and Long-run WIOD. This work also delves into the degree of comparability across the different datasets, offering informative comparisons of the GVC positioning measures encompassing overlapping countries and periods, sectors, geographical regions, and income levels. Notably, these indicators are “ready-to-use” and open access, presenting an exceptional opportunity for qualitative and quantitative analyses of various economic dimensions on GVCs and for informing policymaking.
全球价值链中的定位:世界地图和指标,用于全球价值链分析的新数据集
这项研究回顾并计算了实证文献中常用的全球价值链(GVC)定位指标,为学者们提供了一个新颖、全面的全球上游和下游数据集。该数据集涵盖了广泛的国家(包括许多发展中国家)和行业,时间跨度也很大。具体来说,它为亚行、EORA、经合组织 TiVA、WIOD 和长期 WIOD 等著名国家间投入产出表中包含的所有经济体和行业提供了全球价值链定位指标。这项工作还深入研究了不同数据集之间的可比性程度,对涵盖重叠国家和时期、行业、地理区域和收入水平的全球价值链定位指标进行了翔实的比较。值得注意的是,这些指标是 "即用型 "和开放式的,为对全球价值链的各个经济层面进行定性和定量分析以及为决策提供信息提供了难得的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信