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Sustainable Developmental Evaluation of Foreign Trade Based on Emergy Analysis Method in Shenzhen City, China

Author

Listed:
  • Yutong Tian

    (Key Lab of Water and Sediment Science of the Ministry of Education, School of Environment, Beijing Normal University, Beijing 100875, China
    School of Economics and Management, China Petroleum University, Beijing 102249, China)

  • Shulian Xue

    (School of Economics and Management, China Petroleum University, Beijing 102249, China)

  • Chunhui Li

    (Key Lab of Water and Sediment Science of the Ministry of Education, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Hongli Liang

    (Sponge City Engineering and Technology Center of Henan Province, Zhengzhou 450000, China)

  • Jiansu Mao

    (Key Lab of Water and Sediment Science of the Ministry of Education, School of Environment, Beijing Normal University, Beijing 100875, China)

Abstract

The foreign trade sustainable development index system of Shenzhen City, including the three subsystems of environment, economy, and society, was constructed based on the theory of emergy analysis. The sustainable development of foreign trade in Shenzhen City from 2009 to 2016 was evaluated, and a detailed analysis of changes in the emergy of light and heavy industries was performed. The results showed that the scale of economy has been expanding, and the total volume of imports and exports has turned from a rise to a decline in 2013. The status of sustainable development is not optimistic. The transaction volume of energy is reduced, and the quality of people’s living environment is declining. The sustainable development of Shenzhen City is not perfect, but it is in a phase of gradual optimization. Moreover, the proportion of heavy industry in import and export trade is significantly higher than that of light industry, which has caused the outflow of energy to a certain extent. Therefore, to improve the level of foreign trade sustainable development, the efficiency of resource utilization must be improved. The import of energy products must be increased, the ability to cope with external interference must be strengthened, and the foreign trade industrial structure must be adjusted.

Suggested Citation

  • Yutong Tian & Shulian Xue & Chunhui Li & Hongli Liang & Jiansu Mao, 2019. "Sustainable Developmental Evaluation of Foreign Trade Based on Emergy Analysis Method in Shenzhen City, China," Sustainability, MDPI, vol. 11(11), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:11:p:3035-:d:235227
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    References listed on IDEAS

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    1. Giannantoni, Corrado & Zoli, Mariangela, 2010. "The Four-Sector Diagram of Benefits (FSDOB) as a method for evaluating strategic interactions between humans and the environment: The case study of hydrogen fuel cell buses," Ecological Economics, Elsevier, vol. 69(3), pages 486-494, January.
    2. Geng, Yong & Tian, Xu & Sarkis, Joseph & Ulgiati, Sergio, 2017. "China-USA Trade: Indicators for Equitable and Environmentally Balanced Resource Exchange," Ecological Economics, Elsevier, vol. 132(C), pages 245-254.
    3. Cao, Kai & Feng, Xiao & Wan, Hui, 2009. "Applying agent-based modeling to the evolution of eco-industrial systems," Ecological Economics, Elsevier, vol. 68(11), pages 2868-2876, September.
    4. Zarbá, Lucía & Brown, Mark T., 2015. "Cycling emergy: computing emergy in trophic networks," Ecological Modelling, Elsevier, vol. 315(C), pages 37-45.
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