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