Xing Complex Network-Based Global Value Chain Accounting System

From the Perspective of Econophysics
1. Auflage 2022
ISBN: 978-981-16-9264-2
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 358 Seiten

Reihe: Business and Management (R0)

This book aims to theoretically and empirically enrich the GVC accounting framework with statistical physics and complex network theory from the perspective of econophysics, thus adding up to the existing theories. Besides, it also aims at capturing the essences of network models such as topological complexity, hierarchy, transmissibility, interaction, and causality and reflecting the objective interrelations among economies or between economies and economic systems on the GVC, so as to reveal the inherent evolution of the cross-regional and even global economic systems.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Xing, Lizhi

Inhaltsverzeichnis

Preface.- Part I  Background.- Chapter 1  Fundamental Issues in This Book.- Part II  Topological Structure.- Chapter 2  Recognize the Trade Roles of Industrial Sectors.- Chapter 3  Probe the Industrial Linkages Reasonably and Effectively.- Chapter 4  Find the Vital Industrial Sectors and IO Relations.- Part III  Markov Process.- Chapter 5  Measure the Global Impact of Industrial Sectors.- Chapter 6  Measure the Impact of Final Demands on the Global Production System.- Chapter 7  Industrially Economic Impacts of Trump Administration's Trade Policy toward China.- Part IV  Competition and Collaboration.- Chapter 8  Quantify the Competitive Strength and Weakness of Economies.- Chapter 9  Quantify the Collaborative Opportunity and Threat of Economies .- Part V  Evolutionary Mechanism.- Chapter 10  Extract the Backbone of Global Value Chain.- Chapter 11  Identify the Worldwide Industrial Transfer Pattern.- Chapter 12  Depict the Nested Structure of Production System.- Part VI  Causal Inference.- Chapter 13  Connect the Structural Features and Economic Status.- Postscript.- Appendix.- References

Über Autor(innen)

Lizhi Xing, Ph. D. in management, is Associate Researcher in College of Economics and Management, Beijing University of Technology. His work adopts Inter-Country Input–Output (ICIO), also called Multi-Region Input–Output (MRIO), data to build weighted and directed complex network models, which are the basis of measurement, simulation, and prediction on the international trade.