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Author:

Wang, C. (Wang, C..) | Zhang, X. (Zhang, X..) | Hu, X. (Hu, X..) | Sun, B. (Sun, B..) | Zhao, L. (Zhao, L..) | Lim, M.K. (Lim, M.K..) | Zhao, Q. (Zhao, Q..) | Ghadimi, P. (Ghadimi, P..)

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EI Scopus SCIE

Abstract:

Human hair waste (HHW), used primarily for wigs, saw its global trade value rise from $6.36 million in 1991 to $149.4 million in 2020. This study maps the global HHW trade network from 1991 to 2020, analyzing its structural evolution using the temporal exponential random graph model (TERGM). The network reveals hub nodes acting as bridges, with Southeast Asia, particularly India and China, as key players in exports and imports respectively. Factors like fashion trends, religious culture, and linguistic and geographic elements influence trade network formation. Countries with pronounced fashion inclinations and religious disparities exhibit stronger trade cooperation. This study offers insights for businesses to navigate HHW markets and emphasizes the importance of this resource for a stable global supply chain, promoting a shift towards a circular development model. © 2023 Elsevier B.V.

Keyword:

Complexity economics Human hair waste Complex network Evolution analysis Temporal exponential random graph model

Author Community:

  • [ 1 ] [Wang C.]College of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhang X.]College of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 3 ] [Hu X.]School of Management and Engineering, Capital University of Economics and Business, Beijing, China
  • [ 4 ] [Sun B.]National Engineering Laboratory for Industrial Big-data Application Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhao L.]School of Management, Northwestern Polytechnical University, Xi'an, China
  • [ 6 ] [Lim M.K.]Adam Smith Business School, University of Glasgow, Glasgow, United Kingdom
  • [ 7 ] [Zhao Q.]Institute of New Structural Economics, Peking University, Beijing, China
  • [ 8 ] [Ghadimi P.]Laboratory for Advanced Manufacturing Simulation and Robotics, School of Mechanical & Materials Engineering, University College Dublin, Dublin 4, Belfield, Ireland

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Source :

Resources, Conservation and Recycling

ISSN: 0921-3449

Year: 2024

Volume: 200

1 3 . 2 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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