Using Gross Trade Data to Map Archetypal GVCs

This paper introduces a new, publicly available database for tracking merchandise trade in the global value chains for apparel/textile/footwear, motor vehicles and parts, and electronics, developed originally for in-depth analysis at the country le...

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Main Authors:	Ferrantino, Michael J., Schmidt, Gabriela
Format:	Working Paper
Language:	English
Published:	World Bank, Washington, DC 2018
Subjects:	GLOBAL VALUE CHAINS EXPORTS INTER-REGIONAL INTEGRATION
Online Access:	http://documents.worldbank.org/curated/en/860011515427969143/Using-gross-trade-data-to-map-archetypal-GVCs http://hdl.handle.net/10986/29159

id	okr-10986-29159
recordtype	oai_dc
spelling	okr-10986-291592021-06-08T14:42:48Z Using Gross Trade Data to Map Archetypal GVCs Ferrantino, Michael J. Schmidt, Gabriela GLOBAL VALUE CHAINS EXPORTS INTER-REGIONAL INTEGRATION This paper introduces a new, publicly available database for tracking merchandise trade in the global value chains for apparel/textile/footwear, motor vehicles and parts, and electronics, developed originally for in-depth analysis at the country level. The data enable tracking of intermediate and final goods trade by country. Among other results, the study finds that East Asia and Pacific is the most global value chain–intensive region, and Sub-Saharan Africa is the least global value chain–intensive region. Final assembly of motor vehicles is significantly more sophisticated (takes place in higher income countries), while final apparel is the least sophisticated global value chain category and is geographically dispersed. In general, intermediate goods are more likely to be traded within regions, and final goods are more likely to be traded between regions. South Asia produces a large value of relatively unsophisticated global value chain exports, focusing on apparel and textiles; North American exports are the most sophisticated. Within categories, the degree of product sophistication varies markedly. 2018-01-16T17:40:24Z 2018-01-16T17:40:24Z 2018-01 Working Paper http://documents.worldbank.org/curated/en/860011515427969143/Using-gross-trade-data-to-map-archetypal-GVCs http://hdl.handle.net/10986/29159 English Policy Research Working Paper;No. 8296 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English
topic	GLOBAL VALUE CHAINS EXPORTS INTER-REGIONAL INTEGRATION
spellingShingle	GLOBAL VALUE CHAINS EXPORTS INTER-REGIONAL INTEGRATION Ferrantino, Michael J. Schmidt, Gabriela Using Gross Trade Data to Map Archetypal GVCs
relation	Policy Research Working Paper;No. 8296
description	This paper introduces a new, publicly available database for tracking merchandise trade in the global value chains for apparel/textile/footwear, motor vehicles and parts, and electronics, developed originally for in-depth analysis at the country level. The data enable tracking of intermediate and final goods trade by country. Among other results, the study finds that East Asia and Pacific is the most global value chain–intensive region, and Sub-Saharan Africa is the least global value chain–intensive region. Final assembly of motor vehicles is significantly more sophisticated (takes place in higher income countries), while final apparel is the least sophisticated global value chain category and is geographically dispersed. In general, intermediate goods are more likely to be traded within regions, and final goods are more likely to be traded between regions. South Asia produces a large value of relatively unsophisticated global value chain exports, focusing on apparel and textiles; North American exports are the most sophisticated. Within categories, the degree of product sophistication varies markedly.
format	Working Paper
author	Ferrantino, Michael J. Schmidt, Gabriela
author_facet	Ferrantino, Michael J. Schmidt, Gabriela
author_sort	Ferrantino, Michael J.
title	Using Gross Trade Data to Map Archetypal GVCs
title_short	Using Gross Trade Data to Map Archetypal GVCs
title_full	Using Gross Trade Data to Map Archetypal GVCs
title_fullStr	Using Gross Trade Data to Map Archetypal GVCs
title_full_unstemmed	Using Gross Trade Data to Map Archetypal GVCs
title_sort	using gross trade data to map archetypal gvcs
publisher	World Bank, Washington, DC
publishDate	2018
url	http://documents.worldbank.org/curated/en/860011515427969143/Using-gross-trade-data-to-map-archetypal-GVCs http://hdl.handle.net/10986/29159
_version_	1764468642069610496

Using Gross Trade Data to Map Archetypal GVCs

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