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Author:

Hu, Xiaoqian (Hu, Xiaoqian.) | Wang, Chao (Wang, Chao.) | Lim, Ming K. (Lim, Ming K..)

Indexed by:

EI Scopus

Abstract:

China’s Belt and Road Initiative (BRI) is a global development strategy, representing great potentials for multilateral trade cooperation and economic growth in Asia, Europe and Africa. The trade volume of commodities along the BRI countries booms in the last few years. The commodities trade attracts extensive attention worldwide, but the waste and scrap (WaS) trade received little attention. To fill this gap, this study reviews the dynamic evolution of the WaS trade network and evaluates the potential WaS trade risks in the BRI countries from three real world scenarios. First, this study constructs the WaS trade networks among the BRI countries from 1989 to 2018. Second, the synopsis of the WaS trade network is reviewed. Third, the shock models are built to analyze the impact of shocks in three scenarios on the stability of trade cooperation among the BRI countries. Finally, the policy implications are provided to promote the WaS trade collaboration among the BRI countries. This study is valuable because it is the first time to identify the WaS trade risk among the BRI countries. It will support policy-makers to build an effective collaboration mechanism to alleviate resource shortage and tackle the global WaS crisis. © 2020, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keyword:

Roads and streets Risk perception Public policy Complex networks Commerce

Author Community:

  • [ 1 ] [Hu, Xiaoqian]School of Management and Engineering, Capital University of Economics and Business, Beijing, China
  • [ 2 ] [Wang, Chao]Research Base of Beijing Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 3 ] [Lim, Ming K.]College of Mechanical Engineering, Chongqing University, Chongqing, China

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Source :

ISSN: 1863-5520

Year: 2020

Page: 127-150

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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