IDEAS home Printed from https://ideas.repec.org/a/bla/inecol/v22y2018i6p1402-1412.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jiec.12724
    Download Restriction: no
    File URL: https://libkey.io/10.1111/jiec.12724?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    6. 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.
    7. 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.
    8. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.
    2. Lima, Fátima & Nunes, Manuel Lopes & Cunha, Jorge & Lucena, André F.P., 2016. "A cross-country assessment of energy-related CO2 emissions: An extended Kaya Index Decomposition Approach," Energy, Elsevier, vol. 115(P2), pages 1361-1374.
    3. Patiño, Lourdes Isabel & Alcántara, Vicent & Padilla, Emilio, 2021. "Driving forces of CO2 emissions and energy intensity in Colombia," Energy Policy, Elsevier, vol. 151(C).
    4. Salta, Myrsine & Polatidis, Heracles & Haralambopoulos, Dias, 2009. "Energy use in the Greek manufacturing sector: A methodological framework based on physical indicators with aggregation and decomposition analysis," Energy, Elsevier, vol. 34(1), pages 90-111.
    5. González, Domingo & Martínez, Manuel, 2012. "Changes in CO2 emission intensities in the Mexican industry," Energy Policy, Elsevier, vol. 51(C), pages 149-163.
    6. Seck, Gondia Sokhna & Guerassimoff, Gilles & Maïzi, Nadia, 2016. "Analysis of the importance of structural change in non-energy intensive industry for prospective modelling: The French case," Energy Policy, Elsevier, vol. 89(C), pages 114-124.
    7. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Effect of Construction Land Expansion on Energy-Related Carbon Emissions: Empirical Analysis of China and Its Provinces from 2001 to 2011," Energies, MDPI, vol. 8(6), pages 1-22, June.
    8. Jialing Zou & Weidong Liu & Zhipeng Tang, 2017. "Analysis of Factors Contributing to Changes in Energy Consumption in Tangshan City between 2007 and 2012," Sustainability, MDPI, vol. 9(3), pages 1-14, March.
    9. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    10. Wang, Qiang & Li, Rongrong, 2016. "Journey to burning half of global coal: Trajectory and drivers of China׳s coal use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 341-346.
    11. Jialing Zou & Zhipeng Tang & Shuang Wu, 2019. "Divergent Leading Factors in Energy-Related CO 2 Emissions Change among Subregions of the Beijing–Tianjin–Hebei Area from 2006 to 2016: An Extended LMDI Analysis," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    12. Lin, Boqiang & Lei, Xiaojing, 2015. "Carbon emissions reduction in China's food industry," Energy Policy, Elsevier, vol. 86(C), pages 483-492.
    13. Wang, Wenchao & Mu, Hailin & Kang, Xudong & Song, Rongchen & Ning, Yadong, 2010. "Changes in industrial electricity consumption in china from 1998 to 2007," Energy Policy, Elsevier, vol. 38(7), pages 3684-3690, July.
    14. Dong, Liang & Liang, Hanwei & Zhang, Liguo & Liu, Zhaowen & Gao, Zhiqiu & Hu, Mingming, 2017. "Highlighting regional eco-industrial development: Life cycle benefits of an urban industrial symbiosis and implications in China," Ecological Modelling, Elsevier, vol. 361(C), pages 164-176.
    15. Liu, Na & Ang, B.W., 2007. "Factors shaping aggregate energy intensity trend for industry: Energy intensity versus product mix," Energy Economics, Elsevier, vol. 29(4), pages 609-635, July.
    16. Yanan Chen & Sheng Lin, 2015. "Study on factors affecting energy-related per capita carbon dioxide emission by multi-sectoral of cities: a case study of Tianjin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 833-846, June.
    17. Lei Liu & Shanshan Wang & Ke Wang & Ruiqin Zhang & Xiaoyan Tang, 2016. "LMDI decomposition analysis of industry carbon emissions in Henan Province, China: comparison between different 5-year plans," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 997-1014, January.
    18. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    19. Feng Dong & Jingyun Li & Yue-Jun Zhang & Ying Wang, 2018. "Drivers Analysis of CO 2 Emissions from the Perspective of Carbon Density: The Case of Shandong Province, China," IJERPH, MDPI, vol. 15(8), pages 1-24, August.
    20. Xue-Ting Jiang & Min Su & Rongrong Li, 2018. "Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China," Sustainability, MDPI, vol. 10(9), pages 1-18, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:inecol:v:22:y:2018:i:6:p:1402-1412. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1088-1980 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.