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Evaluating Environmental Performance of Industrial Park Development: The Case of Shenyang

Author

Listed:
  • Huijuan Dong
  • Zuoxi Liu
  • Yong Geng
  • Tsuyoshi Fujita
  • Minoru Fujii
  • Lu Sun
  • Liming Zhang

Abstract

In order to improve the overall sustainability of industrial parks, it is necessary to understand the development characteristics of industrial parks so that appropriate management measures can be raised. Under such a circumstance, this study analyzes the changes in the environmental performance of Shenyang Economic and Technology Development Zone (SETDZ) in terms of emergy‐based indicators and explores underlying driving forces using decomposition analysis methods. The results show that in the industrial recruitment stage (2001–2006), the total emergy increased rapidly and the sustainability level decreased significantly because of the exploitation of local resources with the expansion of industrial scale. After entering the industrial cluster and upgrading stage (2007–2010), the total emergy increased even faster, while the environmental performance did not decrease too much because of the improved resource efficiency and improved technological progress. The implementation of industrial symbiosis (IS) (2011–2013) could have further effectively reduced the total emergy consumption and improved the environmental performance, but current symbiosis efforts were not sufficient and need to be further promoted. Gross regional product and area of the industrial park were the most important driving factors to the total emergy for all the development stages. In terms of emergy sustainability, renewable emergy ratio (R1/U) was one key impact factor. Therefore, how to improve the ratio of renewable resources and enhance IS scopes will be the key strategies for its sustainable development.

Suggested Citation

  • Huijuan Dong & Zuoxi Liu & Yong Geng & Tsuyoshi Fujita & Minoru Fujii & Lu Sun & Liming Zhang, 2018. "Evaluating Environmental Performance of Industrial Park Development: The Case of Shenyang," Journal of Industrial Ecology, Yale University, vol. 22(6), pages 1402-1412, December.
    • Handle: RePEc:bla:inecol:v:22:y:2018:i:6:p:1402-1412
    DOI: 10.1111/jiec.12724
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    References listed on IDEAS

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    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Dong, Huijuan & Ohnishi, Satoshi & Fujita, Tsuyoshi & Geng, Yong & Fujii, Minoru & Dong, Liang, 2014. "Achieving carbon emission reduction through industrial & urban symbiosis: A case of Kawasaki," Energy, Elsevier, vol. 64(C), pages 277-286.
    3. Tuomas Mattila & Suvi Lehtoranta & Laura Sokka & Matti Melanen & Ari Nissinen, 2012. "Methodological Aspects of Applying Life Cycle Assessment to Industrial Symbioses," Journal of Industrial Ecology, Yale University, vol. 16(1), pages 51-60, February.
    4. Zhang, F. Q. & Ang, B. W., 2001. "Methodological issues in cross-country/region decomposition of energy and environment indicators," Energy Economics, Elsevier, vol. 23(2), pages 179-190, March.
    5. Dong, Huijuan & Geng, Yong & Xi, Fengming & Fujita, Tsuyoshi, 2013. "Carbon footprint evaluation at industrial park level: A hybrid life cycle assessment approach," Energy Policy, Elsevier, vol. 57(C), pages 298-307.
    6. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    7. Zhang, Hui & Dong, Liang & Li, Huiquan & Fujita, Tsuyoshi & Ohnishi, Satoshi & Tang, Qing, 2013. "Analysis of low-carbon industrial symbiosis technology for carbon mitigation in a Chinese iron/steel industrial park: A case study with carbon flow analysis," Energy Policy, Elsevier, vol. 61(C), pages 1400-1411.
    8. Frank Boons & Wouter Spekkink & Wenting Jiao, 2014. "A Process Perspective on Industrial Symbiosis," Journal of Industrial Ecology, Yale University, vol. 18(3), pages 341-355, May.
    9. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
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    Cited by:

    1. Yuxi Dai & Steven Day & Donato Masi & Ismail Gölgeci, 2022. "A synthesised framework of eco‐industrial park transformation and stakeholder interaction," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3122-3151, November.
    2. Alexander Hedlund & Olof Björkqvist & Anders Nilsson & Per Engstrand, 2022. "Energy Optimization in a Paper Mill Enabled by a Three-Site Energy Cooperation," Energies, MDPI, vol. 15(8), pages 1-12, April.
    3. Zuoxi Liu & Yongyang Wang & Shanshan Wang & Huijuan Dong & Yong Geng & Bing Xue & Jiaming Gu & Run Dong Li & Tianhua Yang, 2018. "An Emergy and Decomposition Assessment of China’s Crop Production: Sustainability and Driving Forces," Sustainability, MDPI, vol. 10(11), pages 1-18, October.

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