Complex Network-Based Global Value Chain Accounting System: From the Perspective of Econophysics

Preface
Contents
Part I Background
1 Fundamental Issues in This Book
1.1 Concept of Econophysics
1.2 Purpose of Book
1.3 Literature Review
1.3.1 Industrial Complex Network
1.3.2 Global Value Chain
1.3.3 Input–Output Network
1.4 Data Structure
1.4.1 Advantage of IO Table
1.4.2 Available ICIO Database
1.4.3 Hierarchy of Economies
1.4.4 Classification of Industrial Sectors
1.5 ICIO Network Model
1.6 Summary
References
Part II Topological Structure
2 Recognize the Trade Roles of Industrial Sectors
2.1 Introduction
2.2 Definition
2.2.1 Trade Types on the GVC
2.2.2 Decomposition of Trade Roles
2.3 Measurement
2.3.1 Statistical Inference on TBPs
2.3.2 Measurment of Dependency
2.4 Empirical Analysis: Economies’ Two Sorts of Dependence on Foreign Trade
2.4.1 Statistics on All Economies
2.4.2 Significance of Dual Circulation
2.4.3 Economic Meanings of Network-Based Dependency
2.5 Summary
References
3 Probe the Industrial Linkages Reasonably and Effectively
3.1 Introduction
3.2 Methodology
3.2.1 Path Issue in Similarity-Weight Network
3.2.2 Revised Floyd-Warshall Algorithm
3.2.3 Theoretical Basis of SRPL in GIVCN Model
3.2.4 Computation of SRPL in Consideration of Self-loops
3.3 Empirical Analysis: Fragments of GVC
3.3.1 Single-Tuple Motif
3.3.2 Double-Tuple Motif
3.3.3 Triple-Tuple Motif
3.4 Summary
References
4 Find the Vital Industrial Sectors and IO Relations
4.1 Introduction
4.2 Measurement
4.2.1 Average/Maximum Strongest Relevance Degree
4.2.2 Betweenness Centrality of Node
4.2.3 Betweenness Centrality of Edge
4.2.4 Closeness Centrality of Node
4.3 Connectedness/Compactness of NVC
4.4 Pivotability of Industrial Sectors
4.4.1 Overall Statistics
4.4.2 Cross-National Analysis
4.4.3 Robustness Analysis
4.5 Pivotability of IO Relations
4.5.1 Heterogeneity of Pivotability
4.5.2 Domestic Pivotability
4.5.3 International Pivotability
4.5.4 Global Pivotability
4.6 Coordinates of Industrial Sectors
4.6.1 Overall Statistics
4.6.2 Time-Series Analysis
4.6.3 Cross-Country Analysis
4.6.4 Cross-Sector Analysis
4.7 Comparison with Similar Studies
4.8 Summary
References
Part III Markov Process
5 Measure the Global Impact of Industrial Sectors
5.1 Introduction
5.2 Methodology
5.2.1 Features of Value Stream in Economic System
5.2.2 Industrial Impact on the GVC
5.2.3 Structural Holes Theory in Dynamic Network
5.3 Measurement
5.3.1 Random Walk Centrality
5.3.2 Global Industrial Impact Coefficient
5.4 Empirical Analysis: Macroeconomic Trend Forecast
5.4.1 Comparative Analysis with Classic IO Theory
5.4.2 Robustness Analysis
5.4.3 Statistics on Major Economies
5.4.4 Geographical Distribution of GIIC
5.4.5 Correlation Analysis with GDP
5.5 Summary
References
6 Measure the Impact of Final Demands on the Global Production System
6.1 Introduction
6.2 Measurement
6.2.1 Counting First Passage Betweenness
6.2.2 Global Demand Dependence Index
6.3 Empirical Analysis: Macroeconomic Trend Forecast
6.3.1 Robustness Analysis
6.3.2 The Econometric Analysis of Import/Export and GDDI
6.3.3 Statistics on the Global Level
6.3.4 Statistics on the Sectoral Level
6.4 Discussion
6.4.1 Economic Difference Between Static Metrics and Dynamic Metrics
6.4.2 Intrinsic Relationship of Dynamic Metrics
6.4.3 Correlation Analysis Between Static Metrics and Dynamic Metrics
6.5 Summary
References
7 Industrially Economic Impacts of Trump Administration's Trade Policy Toward China
7.1 Bibliometrics on Sino-US Trade War
7.2 Decomposition of GIIC
7.3 Decomposition of GDDI
7.4 Regression Analysis
7.5 Simulation on the Year of 2020
7.6 Conclusion
References
Part IV Competition and Collaboration
8 Quantify the Competitive Strength and Weakness of Economies
8.1 Introduction
8.2 Methodology
8.2.1 Bipartite Graph
8.2.2 Resource Allocation Process
8.3 Modeling
8.3.1 Database Selection
8.3.2 Modeling Framework
8.3.3 GIVCNBG Model
8.3.4 GIRCN Model
8.4 Measurement
8.4.1 Sector-Level Indices
8.4.2 Country-Level Indices
8.4.3 Correlation with GDP
8.5 Empirical Analysis: Competitive Strength of TPP-Related Nations
8.5.1 Time-Series Analysis on TPP-Relat Ed Nations
8.5.2 Simulation on International Trade Policy
8.6 Summary
References
9 Quantify the Collaborative Opportunity and Threat of Economies
9.1 Introduction
9.2 Methodology
9.3 Modeling
9.3.1 Database Selection
9.3.2 GPCCN Model
9.4 Measurement
9.4.1 Sector-Level Indices
9.4.2 Country-Level Indices
9.4.3 Correlation Analysis Between Competitive Strengths and Collaborative Opportunities
9.5 Empirical Analysis: Collaborative Opportunity of BRI-Related Nations
9.5.1 Simulation on Asian Nations
9.5.2 Simulation on European Nations
9.5.3 Simulation on African Nations
9.5.4 Results and Discussions
9.6 Summary
References
Part V Evolutionary Mechanism
10 Extract the Backbone of Global Value Chain
10.1 Introduction
10.2 Formal Problem Setting
10.2.1 Global Threshold
10.2.2 Disparity Filter
10.3 Proposed Algorithms
10.3.1 Searching Paths
10.3.2 Filtering Edges
10.3.3 Mixed Strategy
10.4 Results and Discussions
10.4.1 Preservation of Structural Information
10.4.2 Preservation of Functional Information
10.5 Summary
References
11 Identify the Worldwide Industrial Transfer Pattern
11.1 Introduction
11.1.1 Neoclassical School
11.1.2 Behavioral School
11.1.3 Institutional School
11.2 Methodology
11.2.1 Econometric Model in Industrial Economics
11.2.2 Link Prediction in Complex Networks
11.3 Framework
11.3.1 GISRN Model
11.3.2 Training and Evaluation Metrics
11.3.3 Link Prediction Indices
11.3.4 Accuracy of Prediction Algorithms
11.4 Empirical Analysis I: Evolutionary Characteristics of Globalization
11.4.1 Density of GVC Backbone
11.4.2 Centralization of GVC Backbone
11.4.3 Global Efficiency of GVC Backbone
11.5 Empirical Analysis II: Evolutionary Mechanism of Globalization
11.5.1 Overall Statistics
11.5.2 Industrial Convergence
11.5.3 Mega-Merger Tendency
11.5.4 Industrial Agglomeration
11.5.5 Niche Advantage
11.6 Summary
References
12 Depict the Nested Structure of Production System
12.1 Introduction
12.2 Modeling
12.3 Measurement
12.3.1 Sorting Methods
12.3.2 Nestedness Quantification
12.4 Statistical Analysis
12.4.1 Divergence Analysis
12.4.2 Trend Analysis
12.4.3 Robustness Analysis
12.4.4 Evolutionary Mechanism
12.5 Econometric Analysis
12.5.1 Correlation Between Variables
12.5.2 Regression Model
12.6 Empirical Analysis II: Brexit’s Impact on European Nations
12.6.1 Brexit
12.6.2 Simulation Setting
12.6.3 Results and Discussions
12.7 Empirical Analysis II: RCEP’s Economic Significance to Relevant Nations
12.7.1 Rcep
12.7.2 Simulation Setting
12.7.3 Results and Discussions
12.8 Summary
References
Part VI Causal Inference
13 Connect the Structural Features and Economic Status
13.1 Introduction
13.2 Literature Review
13.3 Econometric Model
13.4 Hypotheses
13.4.1 Hypothesis Formulation
13.4.2 Hypothesis Testing
13.5 Results and Discussions
13.5.1 The Effects of Structural Capital
13.5.2 The Effects of Relational Capital
13.5.3 The Effects of Cognitive Capital
13.6 Summary
References
Postscript
Appendix A