IDEAS home Printed from https://ideas.repec.org/a/bla/inecol/v22y2018i6p1331-1338.html
   My bibliography  Save this article

Measuring the Resource Productivity of Crude Oil: A Chemical Network and its Application

Author

Listed:
  • Yanan Ren
  • Xiaojie Liu
  • Litao Liu
  • Lei Shi

Abstract

The resource productivity (RP) of crude oil is an important indicator to measure the utilization efficiency of a petroleum resource. In this article, we proposed a methodology to calculate the RP of crude oil from a complex network perspective. We constructed a chemical network comprising 578 chemicals and divided all chemicals into six hierarchical levels according to their processing steps. We put forward two indicators to represent two calculation methods: resource productivity based on material flow analysis and resource productivity based on carbon flow analysis (RPCF). To clarify the differences in the meanings of these two indicators, we extracted the para‐xylene (PX) production chain, which is composed of crude oil, PX, pure terephthalic acid, and polyethylene terephthalate, from the network as an example. Finally, we adopted the RPCF indicator. We calculated that the average RPCFs of the six hierarchical levels of crude oil in China from 1992 to 1999 are 145, 219, 601, 929, 1,474, and 4,076 US$/(tonnes carbon). The results show that there is a value‐added effect in the extension of petrochemical industrial chains. Among the derivatives of crude oil, the RPCFs of chemicals are obviously higher than those of oils. Countries, regions, industrial parks, and chemical companies can improve RP by extending and choosing chemical production chains and combinations thereof. We can also use the calculation methodology to compare RP of other sources of carbon like carbon dioxide and biomass with that of crude oil, and promote the development of circular economy in energy and chemical production.

Suggested Citation

  • Yanan Ren & Xiaojie Liu & Litao Liu & Lei Shi, 2018. "Measuring the Resource Productivity of Crude Oil: A Chemical Network and its Application," Journal of Industrial Ecology, Yale University, vol. 22(6), pages 1331-1338, December.
    • Handle: RePEc:bla:inecol:v:22:y:2018:i:6:p:1331-1338
    DOI: 10.1111/jiec.12729
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jiec.12729
    Download Restriction: no
    File URL: https://libkey.io/10.1111/jiec.12729?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. Dahlstrom, Kristina & Ekins, Paul, 2006. "Combining economic and environmental dimensions: Value chain analysis of UK iron and steel flows," Ecological Economics, Elsevier, vol. 58(3), pages 507-519, June.
    2. Jianbai Huang & Chuan Liu & Daguo Lü & Xiaoping Li, 2015. "Industry regulation, competition, and the dynamics of productivity growth: evidence from China’s iron and steel industry," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 33(2), pages 299-324.
    Full references (including those not matched with items on IDEAS)

    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. Kogg, Beatrice & Mont, Oksana, 2012. "Environmental and social responsibility in supply chains: The practise of choice and inter-organisational management," Ecological Economics, Elsevier, vol. 83(C), pages 154-163.
    2. Madlener, R. & Alcott, B., 2009. "Energy rebound and economic growth: A review of the main issues and research needs," Energy, Elsevier, vol. 34(3), pages 370-376.
    3. Michida, Etsuyo & Atici, Cemal & Kojima, Michikazu, 2011. "Does Quality Matter in the Iron and Scrap Trade?," IDE Discussion Papers 282, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    4. Taulo, J.L. & Sebitosi, A.B., 2016. "Material and energy flow analysis of the Malawian tea industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1337-1350.
    5. Miguel Brandão & Roland Clift & Llorenç Milà i Canals & Lauren Basson, 2010. "A Life-Cycle Approach to Characterising Environmental and Economic Impacts of Multifunctional Land-Use Systems: An Integrated Assessment in the UK," Sustainability, MDPI, vol. 2(12), pages 1-30, December.
    6. Rieple, Alison & Singh, Rajbir, 2010. "A value chain analysis of the organic cotton industry: The case of UK retailers and Indian suppliers," Ecological Economics, Elsevier, vol. 69(11), pages 2292-2302, September.
    7. Yan, Lingyu & Wang, Anjian, 2014. "Based on material flow analysis: Value chain analysis of China iron resources," Resources, Conservation & Recycling, Elsevier, vol. 91(C), pages 52-61.
    8. Rootzén, Johan & Johnsson, Filip, 2016. "Paying the full price of steel – Perspectives on the cost of reducing carbon dioxide emissions from the steel industry," Energy Policy, Elsevier, vol. 98(C), pages 459-469.
    9. de Souza, Cristiane Duarte Ribeiro & D’Agosto, Márcio de Almeida, 2013. "Value chain analysis applied to the scrap tire reverse logistics chain: An applied study of co-processing in the cement industry," Resources, Conservation & Recycling, Elsevier, vol. 78(C), pages 15-25.
    10. Chen, C. & Habert, G. & Bouzidi, Y. & Jullien, A. & Ventura, A., 2010. "LCA allocation procedure used as an incitative method for waste recycling: An application to mineral additions in concrete," Resources, Conservation & Recycling, Elsevier, vol. 54(12), pages 1231-1240.
    11. Courtonne, Jean-Yves & Alapetite, Julien & Longaretti, Pierre-Yves & Dupré, Denis & Prados, Emmanuel, 2015. "Downscaling material flow analysis: The case of the cereal supply chain in France," Ecological Economics, Elsevier, vol. 118(C), pages 67-80.
    12. Jean-Yves Courtonne & Julien Alapetite & Pierre-Yves Longaretti & Denis Dupré & Emmanuel Prados, 2015. "Downscaling material flow analysis: the case of the cereals supply chain in France," Working Papers hal-01142357, HAL.
    13. Yu, Hui & Li, Huiru, 2023. "How does the global metal industry value network affect industrial structure upgrading ? The perspective of industry chain," Resources Policy, Elsevier, vol. 85(PB).
    14. Serrenho, André Cabrera & Mourão, Zenaida Sobral & Norman, Jonathan & Cullen, Jonathan M. & Allwood, Julian M., 2016. "The influence of UK emissions reduction targets on the emissions of the global steel industry," Resources, Conservation & Recycling, Elsevier, vol. 107(C), pages 174-184.

    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:1331-1338. 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.