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

Yuichi Ikeda (u. a.)

ISBN 10: 9811549435 / ISBN 13: 9789811549434

Editore: Springer, 2021

Big Data Analysis on Global Community Formation and Isolation | Sustainability and Flow of Commodities, Money, and Humans | Yuichi Ikeda (u. a.) | Buch | xii | Englisch | 2021 | Springer | EAN 9789811549434 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 118151255

Riassunto:

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.

Informazioni sull'autore:

Yuichi Ikeda, Kyoto University

Hiroshi Iyetomi, Niigata University

Takayuki Mizuno, National Institute of Informatics

Dati bibliografici

Titolo: Big Data Analysis on Global Community ...
Casa editrice: Springer
Data di pubblicazione: 2021
Legatura: Buch
Condizione: Neu