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Profit or Environment? A System Dynamic Model Analysis of Waste Electrical and Electronic Equipment Management System in China

Author

Listed:
  • Qinxin Guo

    (Graduate School of Economics, Kobe University, Japan)

  • Enci Wang

    (School of Economics, Shanghai University, China)

  • Yongyou Nie

    (School of Economics, Shanghai University, China)

  • Junyi Shen

    (Research Institute for Economics & Business Administration (RIEB), Kobe University, Japan, and School of Economics, Shanghai University, China)

Abstract

In the past decade, sales of electrical and electronic equipment have undergone explosive growth worldwide, while at the same time, the life cycles of electrical and electronic equipment have been getting shorter. This has resulted in large numbers of waste electrical and electronic equipment (WEEE) being generated, which causes serious environmental problems that each country has to face. In this paper, we use the system dynamic method to analyze how China’s “WEEE processing fund” policy, wherein levies or subsidies are set on appropriate targets, influences the economic and environmental conditions of participants in the WEEE management system. The simulations results suggest that the “WEEE processing fund” policy could improve the economic status of those receiving subsidies without losing the economic revenue from levies and improve the entire system’s ability to recover and process waste equipment.

Suggested Citation

  • Qinxin Guo & Enci Wang & Yongyou Nie & Junyi Shen, 2017. "Profit or Environment? A System Dynamic Model Analysis of Waste Electrical and Electronic Equipment Management System in China," Discussion Paper Series DP2017-30, Research Institute for Economics & Business Administration, Kobe University.
  • Handle: RePEc:kob:dpaper:dp2017-30
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    File URL: https://www.rieb.kobe-u.ac.jp/academic/ra/dp/English/DP2017-30.pdf
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    References listed on IDEAS

    as
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    2. Poles, Roberto, 2013. "System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies," International Journal of Production Economics, Elsevier, vol. 144(1), pages 189-199.
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