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Global Value Chains: Measurement and Application

Autor Su Qingyi
en Limba Engleză Paperback – 30 iul 2025
This book aims to help readers understand the status of the division of labour in global value chains, its impact on traditional research topics and to familiarise readers with the application of input-output methods in Global Value Chain (GVC) research.
The book features a combination of practices in China and offers international comparisons. Chapters 1 to 4 discuss the measurement of global value chains, specifically the measurement of the location of production, the status of the division of labour and the risk of the GVC, as well as the GVC and the Domestic Value Chain (DVC). Chapters 5 to 8 focus on the applications of GVCs in the study of traditional topics such as the structure of international trade, the factor content of foreign trade, the real effective exchange rate and environmental pollution.
This book will be a great read to students and scholars of statistics, economics, international trade and those interested in China’s economy in general.
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Specificații

ISBN-13: 9781032670249
ISBN-10: 103267024X
Pagini: 222
Ilustrații: 54
Dimensiuni: 156 x 234 x 12 mm
Greutate: 0.36 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom

Public țintă

General, Postgraduate, Undergraduate Advanced, and Undergraduate Core

Cuprins

1. GVC Production Location Measurement  2. GVC Division of Labour Position Measurement  3. GVC Risk Measurement  4. GVC and Domestic Value Chain (DVC) Measurement  5. GVCs and International Trade Structure  6. GVC and Factor Content of Foreign Trade  7. GVCs and Exchange Rates 8. GVCs and Environment

Notă biografică

Dr. Su Qingyi is Senior Fellow at the Institute of World Economics and Politics (IWEP), Chinese Academy of Social Sciences (CASS). He specialises in global value chains, free trade agreement and China’s foreign trade.

Descriere

This book aims to help readers understand the status of the division of labour in global value chains, its impact on traditional research topics, and to familiarise readers with the application of input-output methods in GVC research.