IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/8905.html
   My bibliography  Save this paper

Linking Top-Down and Bottom-UP Models for Climate Policy Analysis : The Case of China

Author

Listed:
  • Timilsina,Govinda R.
  • Pang,Jun
  • Yang,Xi

Abstract

Top-down economic models, such as computable general equilibrium models, are the common tools to assess the economic impacts of climate change policies. However, these models are incapable of representing the detailed technological characteristics of the sources of greenhouse gas emissions. The economic impacts measured by the top-down economic models are likely to be overestimated. This study attempts to quantify the overestimation by measuring the economic impacts linking the top-down model with a bottom-up engineering model for the energy sector. The study uses meeting China's pledges under the Paris Agreement for testing this hypothesis. The study shows that the economic impacts measured by the stand-alone top-down model are almost three times as high as those resulting from the model after linking it with the bottom-up model. However, the findings are sensitive to the assumptions and existing or planned policies on energy technologies considered in the bottom-up model.

Suggested Citation

  • Timilsina,Govinda R. & Pang,Jun & Yang,Xi, 2019. "Linking Top-Down and Bottom-UP Models for Climate Policy Analysis : The Case of China," Policy Research Working Paper Series 8905, The World Bank.
  • Handle: RePEc:wbk:wbrwps:8905
    as

    Download full text from publisher

    File URL: http://documents.worldbank.org/curated/en/426801561032910616/pdf/Linking-Top-Down-and-Bottom-UP-Models-for-Climate-Policy-Analysis-The-Case-of-China.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    2. Timilsina, Govind R. & Pang, Jun & Xi, Yang, 2021. "Enhancing the quality of climate policy analysis in China: Linking bottom-up and top-down models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. Pang, Jun & Timilsina, Govinda, 2021. "How would an emissions trading scheme affect provincial economies in China: Insights from a computable general equilibrium model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    4. Timilsina, Govinda R. & Pang, Jun & Yang, Xi, 2021. "Macroeconomic impacts of power sector reforms in China," Energy Policy, Elsevier, vol. 157(C).
    5. Anna Flessa & Dimitris Fragkiadakis & Eleftheria Zisarou & Panagiotis Fragkos, 2023. "Developing an Integrated Energy–Economy Model Framework for Islands," Energies, MDPI, vol. 16(3), pages 1-32, January.

    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:wbk:wbrwps:8905. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .

    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.