Wang, C., Zhang, X., Hu, X., Sun, B., Zhao, L., Lim, M. K. , Zhao, Q. and Ghadimi, P. (2023) Evolution of structural characteristics and its determinants of global human hair waste trade network based on temporal exponential random graph model. Resources, Conservation and Recycling, 200, 107305. (doi: 10.1016/j.resconrec.2023.107305)
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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.
| Item Type: | Articles |
|---|---|
| Additional Information: | This research is funded by the National Natural Science Foundation of China (72071006 and 72101164). Dr. Boxue Sun acknowledges financial support from the National Key Research and Development Program of China (2022YFB3505204) and Beijing Capital Highway Development Group Co., Ltd (A 2023-002). Dr. Longfeng Zhao acknowledges financial support from National Natural Science Foundation of China (71901171), the Fundamental Research Funds for the Central Universities (3102021XJS01), Shaanxi Provincial Soft Science Project (2022KRM111), and Shaanxi Provincial Social Science Foundation (2022R016). Dr. Qiuyun Zhao acknowledges financial support from the National Social Science Foundation (19CJL037). |
| Keywords: | Human hair waste, evolution analysis, complex network, complexity economics, temporal exponential random graph model. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Lim, Professor Ming |
| Creator Roles: | |
| Authors: | Wang, C., Zhang, X., Hu, X., Sun, B., Zhao, L., Lim, M. K., Zhao, Q., and Ghadimi, P. |
| College/School: | College of Social Sciences > Adam Smith Business School > Management |
| Journal Name: | Resources, Conservation and Recycling |
| Publisher: | Elsevier |
| ISSN: | 0921-3449 |
| ISSN (Online): | 1879-0658 |
| Published Online: | 16 November 2023 |
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