Indicators on global value chains: A guide for empirical work
Traditionally, the main source of data used to measure countries' participation in international production networks or global value chains (GVCs) has been conventional international trade statistics. However, international fragmentation of production has weakened the analytic interpretability...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Paris
OECD Publishing
2017
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| Schriftenreihe: | OECD Statistics Working Papers
no.2017/08 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Traditionally, the main source of data used to measure countries' participation in international production networks or global value chains (GVCs) has been conventional international trade statistics. However, international fragmentation of production has weakened the analytic interpretability of these data as intermediate goods but also services cross borders many times on the way to their final destination. This is often referred to as the double (or multiple)-counting problem of international trade Statistics. This, in turn, has led to the development of a new branch of trade statistics, referred to as Trade in Value-Added (TiVA) providing new insights on GVCs, and corresponding databases, notably the OECD-WTO TiVA database, which provide a measure of international interdependencies through the construction of global input-output tables that show how producers in one country provide goods and/or services to producers and consumers in others. But with the field still relatively new, many users are struggling to fully understand how these new indicators should be used and indeed how they have been constructed. This document is designed to address those difficulties, providing, where appropriate guidance on "dos" and "don'ts". It also reviews many other typical GVC indicators derived outside of input-output frameworks; recognising that gross measures of trade, and indicators derived from them, remain important and relevant for policy making. |
| Beschreibung: | 1 Online-Ressource (44 p.) |
| DOI: | 10.1787/8502992f-en |
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| 520 | |a Traditionally, the main source of data used to measure countries' participation in international production networks or global value chains (GVCs) has been conventional international trade statistics. However, international fragmentation of production has weakened the analytic interpretability of these data as intermediate goods but also services cross borders many times on the way to their final destination. This is often referred to as the double (or multiple)-counting problem of international trade Statistics. This, in turn, has led to the development of a new branch of trade statistics, referred to as Trade in Value-Added (TiVA) providing new insights on GVCs, and corresponding databases, notably the OECD-WTO TiVA database, which provide a measure of international interdependencies through the construction of global input-output tables that show how producers in one country provide goods and/or services to producers and consumers in others. But with the field still relatively new, many users are struggling to fully understand how these new indicators should be used and indeed how they have been constructed. This document is designed to address those difficulties, providing, where appropriate guidance on "dos" and "don'ts". It also reviews many other typical GVC indicators derived outside of input-output frameworks; recognising that gross measures of trade, and indicators derived from them, remain important and relevant for policy making. | ||
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| spelling | Ahmad, Nadim VerfasserIn aut Indicators on global value chains A guide for empirical work Nadim, Ahmad ... [et al] Paris OECD Publishing 2017 1 Online-Ressource (44 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Statistics Working Papers no.2017/08 Traditionally, the main source of data used to measure countries' participation in international production networks or global value chains (GVCs) has been conventional international trade statistics. However, international fragmentation of production has weakened the analytic interpretability of these data as intermediate goods but also services cross borders many times on the way to their final destination. This is often referred to as the double (or multiple)-counting problem of international trade Statistics. This, in turn, has led to the development of a new branch of trade statistics, referred to as Trade in Value-Added (TiVA) providing new insights on GVCs, and corresponding databases, notably the OECD-WTO TiVA database, which provide a measure of international interdependencies through the construction of global input-output tables that show how producers in one country provide goods and/or services to producers and consumers in others. But with the field still relatively new, many users are struggling to fully understand how these new indicators should be used and indeed how they have been constructed. This document is designed to address those difficulties, providing, where appropriate guidance on "dos" and "don'ts". It also reviews many other typical GVC indicators derived outside of input-output frameworks; recognising that gross measures of trade, and indicators derived from them, remain important and relevant for policy making. Economics Bohn, Timon MitwirkendeR ctb Mulder, Nanno MitwirkendeR ctb Vaillant, Marcel MitwirkendeR ctb Zaclicever, Dayna MitwirkendeR ctb FWS01 ZDB-13-SOC FWS_PDA_SOC https://doi.org/10.1787/8502992f-en Volltext |
| spellingShingle | Ahmad, Nadim Indicators on global value chains A guide for empirical work Economics |
| title | Indicators on global value chains A guide for empirical work |
| title_auth | Indicators on global value chains A guide for empirical work |
| title_exact_search | Indicators on global value chains A guide for empirical work |
| title_full | Indicators on global value chains A guide for empirical work Nadim, Ahmad ... [et al] |
| title_fullStr | Indicators on global value chains A guide for empirical work Nadim, Ahmad ... [et al] |
| title_full_unstemmed | Indicators on global value chains A guide for empirical work Nadim, Ahmad ... [et al] |
| title_short | Indicators on global value chains |
| title_sort | indicators on global value chains a guide for empirical work |
| title_sub | A guide for empirical work |
| topic | Economics |
| topic_facet | Economics |
| url | https://doi.org/10.1787/8502992f-en |
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