Journal
RESOURCES CONSERVATION AND RECYCLING
Volume 142, Issue -, Pages 122-130Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.resconrec.2018.11.025
Keywords
Polysilicon trade; Social network analysis; Network structure; Core-periphery analysis
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Funding
- Major Program of the National Social Science Fund of China [15ZDB165]
- 111 Project [818021]
- Fundamental Research Funds for the Central Universities [2017MS080]
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In the photovoltaic (PV) industrial chain, polysilicon is the most vital product affecting the scale of the entire industry. Polysilicon trade holds the highest profit margin, and the technological developments among countries is unbalanced, promoting international trade among countries. Therefore, analysis of the international poly silicon trade is crucial for understanding the development of the global PV industry. In this paper, we use a social network analysis (SNA) method to study the structure of the global polysilicon trade network and each country's characteristics in the network based on international trade data from 2006 to 2016. Our results show that the network is very concentrated and shows an obvious core-periphery structure. The United States of America (USA), China, Germany and Japan are the most powerful countries in the trade network. We also find that the development of polysilicon trade can represent progress of the PV industry.
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