IDEAS home Printed from https://ideas.repec.org/a/spr/masfgc/v24y2019i6d10.1007_s11027-019-09866-5.html
   My bibliography  Save this article

Learning in greenhouse gas emission inventories in terms of uncertainty improvement over time

Author

Listed:
  • Jolanta Jarnicka

    (Polish Academy of Sciences)

  • Piotr Żebrowski

    (International Institute for Applied Systems Analysis)

Abstract

This paper addresses the problem of learning in greenhouse gas (GHG) emission inventories understood as reductions in uncertainty, i.e., inaccuracy and/or imprecision, over time. We analyze the National Inventory Reports (NIRs) submitted annually to the United Nations Framework Convention on Climate Change. Each NIR contains data on the GHG emissions in a given country for a given year as well as revisions of past years’ estimates. We arrange the revisions, i.e., estimates of historical emissions published in consecutive NIRs into a table, so that each column contains revised estimates of emissions for the same year, reflecting different realizations of uncertainty. We propose two variants of a two-step procedure to investigate the changes of uncertainty over time. In step 1, we assess changes in inaccuracy, which we consider constant within each revision, by either detrending the revisions using the smoothing spline fitted to the most recent revision (method 1) or by taking differences between the most recent revision and the previous ones (method 2). Step 2 estimates the imprecision by analyzing the columns of the data table. We assess learning by detecting and modeling a decreasing trend in inaccuracy and/or imprecision. We analyze carbon dioxide (CO2) emission inventories for the European Union (EU-15) as a whole and its individual member countries. Our findings indicate that although there is still room for improvement, continued efforts to improve accounting methodology lead to a reduction of uncertainty of emission estimates reported in NIRs, which is of key importance for monitoring the realization of countries’ emission reduction commitments.

Suggested Citation

  • Jolanta Jarnicka & Piotr Żebrowski, 2019. "Learning in greenhouse gas emission inventories in terms of uncertainty improvement over time," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 1143-1168, August.
  • Handle: RePEc:spr:masfgc:v:24:y:2019:i:6:d:10.1007_s11027-019-09866-5
    DOI: 10.1007/s11027-019-09866-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11027-019-09866-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11027-019-09866-5?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gregg Marland & Khrystyna Hamal & Matthias Jonas, 2009. "How Uncertain Are Estimates of CO2 Emissions?," Journal of Industrial Ecology, Yale University, vol. 13(1), pages 4-7, February.
    2. T. Ermolieva & Y. Ermoliev & M. Jonas & M. Obersteiner & F. Wagner & W. Winiwarter, 2014. "Uncertainty, cost-effectiveness and environmental safety of robust carbon trading: integrated approach," Climatic Change, Springer, vol. 124(3), pages 633-646, June.
    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. Zakariya Kaneesamkandi & Ateekh Ur Rehman & Yusuf Siraj Usmani & Usama Umer, 2020. "Methodology for Assessment of Alternative Waste Treatment Strategies Using Entropy Weights," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    2. Yi Xiao & Keying Li & Yi Hu & Jin Xiao & Shouyang Wang, 2020. "Combining STRIPAT model and gated recurrent unit for forecasting nature gas consumption of China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1325-1343, October.
    3. Zhibo Zhao & Tian Yuan & Xunpeng Shi & Lingdi Zhao, 2020. "Heterogeneity in the relationship between carbon emission performance and urbanization: evidence from China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1363-1380, October.
    4. Matthias Jonas & Rostyslav Bun & Zbigniew Nahorski & Gregg Marland & Mykola Gusti & Olha Danylo, 2019. "Quantifying greenhouse gas emissions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 839-852, August.

    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. McCullough, Michael & Holland, David W. & Painter, Kathleen M. & Stodick, Leroy & Yoder, Jonathan K., 2011. "Economic and Environmental Impacts of Washington State Biofuel Policy Alternatives," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(3), pages 1-15.
    2. Johanne Pelletier & Jonah Busch & Catherine Potvin, 2015. "Addressing uncertainty upstream or downstream of accounting for emissions reductions from deforestation and forest degradation," Climatic Change, Springer, vol. 130(4), pages 635-648, June.
    3. Khrystyna Boychuk & Rostyslav Bun, 2014. "Regional spatial inventories (cadastres) of GHG emissions in the Energy sector: Accounting for uncertainty," Climatic Change, Springer, vol. 124(3), pages 561-574, June.
    4. Talbot, David & Boiral, Olivier, 2013. "Can we trust corporates GHG inventories? An investigation among Canada's large final emitters," Energy Policy, Elsevier, vol. 63(C), pages 1075-1085.
    5. Youngseok Hwang & Stephan Schlüter & Tanupriya Choudhury & Jung-Sup Um, 2021. "Comparative Evaluation of Top-Down GOSAT XCO 2 vs. Bottom-Up National Reports in the European Countries," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    6. Konstantinaviciute, Inga & Bobinaite, Viktorija, 2015. "Comparative analysis of carbon dioxide emission factors for energy industries in European Union countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 603-612.
    7. Cui, Duo & Deng, Zhu & Liu, Zhu, 2019. "China’s non-fossil fuel CO2 emissions from industrial processes," Applied Energy, Elsevier, vol. 254(C).
    8. Matthias Jonas & Piotr Żebrowski, 2019. "The crux with reducing emissions in the long-term: The underestimated “now” versus the overestimated “then”," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 1169-1190, August.
    9. Xu, Zhongwen & Yao, Liming & Liu, Qiaoling & Long, Yin, 2019. "Policy implications for achieving the carbon emission reduction target by 2030 in Japan-Analysis based on a bilevel equilibrium model," Energy Policy, Elsevier, vol. 134(C).

    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:spr:masfgc:v:24:y:2019:i:6:d:10.1007_s11027-019-09866-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.