Examining the Ecology of Commodity Trade Networks Using an Ecological Information‐Based Approach: Toward Strategic Assessment of Resilience

9 Pages Posted: 21 Oct 2015

See all articles by Ali Kharrazi

Ali Kharrazi

University of Tokyo - Graduate School of Public Policy

Steven B. Kraines

Tokyo City University

Elena Rovenskaya

Moscow State University - Faculty of Computational Mathematics and Cybernetics

Ram Avtar

United Nations - Institute of Advanced Studies (UNU/IAS)

Shuichi Iwata

Tokyo Metropolitan University - Graduate School of Project Design

Masaru Yarime

The Hong Kong University of Science and Technology - Division of Public Policy; The University of Tokyo - Graduate School of Public Policy

Date Written: October 2015

Abstract

Commodity trade networks exhibit certain patterns in the configuration of material flows that are similar to natural ecological networks. This article develops and explores an ecological information‐based approach to examine the ecology of commodity trade networks. We demonstrate that commodity trade networks show a pattern of commonality when viewed through the introduced ecological information‐based metrics. Specifically, we show how the network metrics of effective connectivity and effective number of roles can convey boundaries where commodity trade networks are robust. Further, the temporal trends of these metrics suggest the existence of multiple basins of attractions and provide clues on the dynamics of resilience of these networks over time.

Keywords: ecological information‐based approach, ecology of commodity trade networks, industrial ecology, resilience, strategic risk management, sustainability

Suggested Citation

Kharrazi, Ali and Kraines, Steven B. and Rovenskaya, Elena and Avtar, Ram and Iwata, Shuichi and Yarime, Masaru, Examining the Ecology of Commodity Trade Networks Using an Ecological Information‐Based Approach: Toward Strategic Assessment of Resilience (October 2015). Journal of Industrial Ecology, Vol. 19, Issue 5, pp. 805-813, 2015, Available at SSRN: https://ssrn.com/abstract=2676956 or http://dx.doi.org/10.1111/jiec.12328

Ali Kharrazi (Contact Author)

University of Tokyo - Graduate School of Public Policy ( email )

Yayoi 1-1-1
Bunkyo-ku
Tokyo, 113-8657
Japan

Steven B. Kraines

Tokyo City University

3-3-1, Ushikubo-Nishi
Tsuzuki-ku
YOKOHAMA, 224-0015
Japan

Elena Rovenskaya

Moscow State University - Faculty of Computational Mathematics and Cybernetics

119899 Moscow
Russia

Ram Avtar

United Nations - Institute of Advanced Studies (UNU/IAS)

53-67 Jingumae 5-chome
Shibuya-ku
Tokyo, 150-8304
Japan

Shuichi Iwata

Tokyo Metropolitan University - Graduate School of Project Design

Tokyo
Japan

Masaru Yarime

The Hong Kong University of Science and Technology - Division of Public Policy ( email )

Room 4611, PPOL, HKUST
Clear Water Bay
Kowloon
Hong Kong

HOME PAGE: http://yarime.net/

The University of Tokyo - Graduate School of Public Policy ( email )

Hongo 7-3-1
Bunkyo-ku
Tokyo, 113-0033
Japan

HOME PAGE: http://yarime.net/

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