Big Data Analysis on Global Community Formation and Isolation: Sustainability and Flow of Commodities, Money, and Humans

ISBN-13: 9789811549434 / Angielski / Twarda / 2021 / 511 str.

Yuichi Ikeda; Hiroshi Iyetomi; Takayuki Mizuno

Spis treści

-1. Introduction

-Part I Commodity Flow

-2. Global Supply-Chain Network

-3. Japanese Supply-Chain Network

-4. Traditional Industry in Kyoto

-5. Resource Flows and Stocks in the Global Economy

-Part II Monetary Flow

-6. Global Ownership Network

-7. Japanese Ownership Network

-8. Global Value Added Network

-9. Profit Shifting in Digital Economy

-Part III Human Flow

-10. Spatial Linkage of Countries in terms of Ethnic Groups

-11. Immigrant Assimilation in ASEAN

-12. Syrian Refugees in Turkey

-13. Design of Isolation Index

-Part IV

-14. Anthropology of Policy Recommendation in United Nation

-15. Toward Evidence-Based Policy Making

O autorze

Yuichi Ikeda, Kyoto University

Hiroshi Iyetomi, Niigata University

Takayuki Mizuno, National Institute of Informatics

Blurb

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.