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ویرایش:
نویسندگان: Lizhi Xing
سری:
ISBN (شابک) : 9811692637, 9789811692635
ناشر: Springer
سال نشر: 2022
تعداد صفحات: 357
[358]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 13 Mb
در صورت تبدیل فایل کتاب Complex Network-Based Global Value Chain Accounting System: From the Perspective of Econophysics به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب سیستم حسابداری زنجیره ارزش جهانی مبتنی بر شبکه پیچیده: از دیدگاه اقتصاد فیزیک نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
هدف این کتاب غنی سازی تئوری و تجربی چارچوب حسابداری GVC با فیزیک آماری و نظریه شبکه های پیچیده از منظر اقتصاد فیزیک است و بدین ترتیب به نظریه های موجود اضافه می شود. علاوه بر این، هدف آن نیز گرفتن ماهیت مدلهای شبکه مانند پیچیدگی توپولوژیکی، سلسله مراتب، قابلیت انتقال، تعامل، و علیت و انعکاس روابط متقابل عینی بین اقتصادها یا بین اقتصادها و سیستمهای اقتصادی بر روی GVC است تا تکامل ذاتی را آشکار کند. سیستم های اقتصادی بین منطقه ای و حتی جهانی.
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 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