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© 2021

Big Data Analysis on Global Community Formation and Isolation

Sustainability and Flow of Commodities, Money, and Humans

  • Yuichi Ikeda
  • Hiroshi Iyetomi
  • Takayuki Mizuno
Book
  • 779 Downloads

Table of contents

  1. Front Matter
    Pages i-xii
  2. Yuichi Ikeda
    Pages 1-19
  3. Commodity Flow

    1. Front Matter
      Pages 21-21
    2. Hitomi Sato, Yuichi Kichikawa, Hiroshi Iyetomi, Tsutomu Watanabe
      Pages 63-92
    3. Kenichi Nakajima, Keisuke Nansai, Wataru Takayanagi
      Pages 119-140
  4. Monetary Flow

    1. Front Matter
      Pages 141-141
    2. Yuichi Kichikawa, Hiroshi Iyetomi, Yuichi Ikeda
      Pages 143-190
    3. Haruka Kato, Yuichi Kichikawa, Hiroshi Iyetomi, Wataru Souma
      Pages 191-216
  5. Human Flow

    1. Front Matter
      Pages 323-323
    2. Rachael Kei Kawasaki, Yuichi Ikeda
      Pages 353-405
    3. Yu Ohki, Yuichi Ikeda, Hiroshi Iyetomi
      Pages 435-463
  6. Policy Process

    1. Front Matter
      Pages 465-465
    2. Tembo Nakamoto, Ayaka Nomura, Yuichi Ikeda
      Pages 467-499
    3. Hiroshi Iyetomi
      Pages 501-511

About this book

Introduction

In this book, the authors analyze big data on global interdependence caused by the flows of commodities, money, and people, using a network science approach to obtain differing views of globalization and to clarify the facts on isolation of communities.

 Globalization reduces international economic inequality, i.e., it allows emerging countries to catch up while it increases relative poverty in some advanced countries. How should this trade-off between international and domestic inequalities be resolved? At the same time, the reduction of biocultural diversity caused by globalization needs to be avoided. What kind of change is required in local communities to conserve biocultural diversity?

 On the issue of commodity flow, research results of the supply-chain network, isolation in industry, and resource flows and stocks are presented in this book. For monetary flow, ownership networks, value-added networks, and profit shifting were studied; and regarding the flow of people, linkage of ethnic groups, immigrant assimilation, and refugees were examined. Based on the resulting view of globalization and isolation, the development of the isolation index using machine learning is discussed. Finally, recommendations for evidence-based policymaking in the United Nations are considered.

Keywords

Supply Chain Network Ownership Network Value Added Network Traditional Industry Profit Shifting Digital Economy Ethnic Group Immigrant Assimilation Refugees Policy Recommendation Evidence-Based Policy Making Big Data Community Analysis Network Science Data Science

Editors and affiliations

  • Yuichi Ikeda
    • 1
  • Hiroshi Iyetomi
    • 2
  • Takayuki Mizuno
    • 3
  1. 1.Graduate School of Advanced Integrated Studies in Human SurvivabilityKyoto UniversityKyotoJapan
  2. 2.Department of MathematicsNiigata UniversityNiigata, Nishi-kuJapan
  3. 3.National Institute of InformaticsTokyoJapan

About the editors

Yuichi Ikeda, Kyoto University

Hiroshi Iyetomi, Niigata University

Takayuki Mizuno, National Institute of Informatics

Bibliographic information