IDEAS home Printed from https://ideas.repec.org/a/spr/circec/v4y2024i4d10.1007_s43615-024-00401-6.html
   My bibliography  Save this article

Analysing the Indicators and the Associated Recommendations of Household Emission Calculators

Author

Listed:
  • Charalampos Alexopoulos

    (University of the Aegean)

  • Christos Karelis

    (University of the Aegean)

  • Panagiotis Keramidis

    (Copenhagen Business School)

  • Athanasia Orfanou

    (University of the Aegean)

  • Demetris-Francis Lekkas

    (University of the Aegean)

  • Yannis Charalabidis

    (University of the Aegean)

Abstract

Climate change and the related greenhouse gas (GHG) emissions are an evident threat to Europe and the world and have been at the forefront of environmental policy for decades. Carbon footprint calculators provide a valuable approach when it comes to informing people about GHGs and specifically to CO2 equivalent (CO2-eq). These calculators estimate the carbon footprint by converting emissions or energy data to the equivalent amount of carbon dioxide (CO2) related to a person - its everyday profile. They are considered as “household calculators” as they are based on information provided by the user that is related to various activities and behaviours (transportation, housing, food consumption, waste management, consumption etc). Some of the calculators also provide recommendations to the users, based on their results, on how to change their habits and reduce their carbon emissions. This study provides a comparative analysis of the indicators used to calculate the carbon footprint in available household calculators, as well as the recommendations provided for the users to reduce their footprint. The aim of this paper is to present the current state of household carbon footprint calculators regarding; the data they require to calculate the carbon footprint and the recommendations they provide based on the results/household performance. The paper provides an analysis of a group of carbon footprint calculators that are freely available online, focusing on the domains and indicators used by each calculator, along with the associated proposed recommendations.

Suggested Citation

  • Charalampos Alexopoulos & Christos Karelis & Panagiotis Keramidis & Athanasia Orfanou & Demetris-Francis Lekkas & Yannis Charalabidis, 2024. "Analysing the Indicators and the Associated Recommendations of Household Emission Calculators," Circular Economy and Sustainability, Springer, vol. 4(4), pages 2657-2673, December.
    • Handle: RePEc:spr:circec:v:4:y:2024:i:4:d:10.1007_s43615-024-00401-6
    DOI: 10.1007/s43615-024-00401-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s43615-024-00401-6
    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/s43615-024-00401-6?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. Peter Howson, 2019. "Tackling climate change with blockchain," Nature Climate Change, Nature, vol. 9(9), pages 644-645, September.
    2. William Nordhaus, 2019. "Climate Change: The Ultimate Challenge for Economics," American Economic Review, American Economic Association, vol. 109(6), pages 1991-2014, June.
    3. Maximilian Auffhammer, 2018. "Quantifying Economic Damages from Climate Change," Journal of Economic Perspectives, American Economic Association, vol. 32(4), pages 33-52, Fall.
    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. Boly, Mohamed & Combes, Jean-Louis & Combes Motel, Pascale, 2023. "Does environment pay for politicians?," Economic Modelling, Elsevier, vol. 128(C).
    2. Claire Alestra & Gilbert Cette & Valérie Chouard & Rémy Lecat, 2020. "Long-term growth impact of climate change and policies: the Advanced Climate Change Long-term (ACCL) scenario building model," Working Papers halshs-02505088, HAL.
    3. G. Cornelis van Kooten & Mark E. Eiswerth & Jonathon Izett & Alyssa R. Russell, 2021. "Climate Change and the Social Cost of Carbon: DICE Explained and Expanded," Working Papers 2021-01, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    4. Jonathan D. Moyer & Audrey Pirzadeh & Mohammod Irfan & José Solórzano & Barbara Stone & Yutang Xiong & Taylor Hanna & Barry B. Hughes, 2023. "How many people will live in poverty because of climate change? A macro-level projection analysis to 2070," Climatic Change, Springer, vol. 176(10), pages 1-18, October.
    5. Desbordes, Rodolphe & Eberhardt, Markus, 2024. "Climate change and economic prosperity: Evidence from a flexible damage function," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    6. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 19(3), pages 357-380, December.
    7. Niemeier, Hans-Martin & Forsyth, Peter, 2025. "Addressing the impact of airport pricing, investment and operations on greenhouse gas emissions," Journal of Air Transport Management, Elsevier, vol. 122(C).
    8. Dong, Xiyong & Yoon, Seong-Min, 2023. "Effect of weather and environmental attentions on financial system risks: Evidence from Chinese high- and low-carbon assets," Energy Economics, Elsevier, vol. 121(C).
    9. Chang, Jun-Jie & Mi, Zhifu & Wei, Yi-Ming, 2023. "Temperature and GDP: A review of climate econometrics analysis," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 383-392.
    10. Zeng, Qing & Ma, Feng & Lu, Xinjie & Xu, Weiju, 2022. "Policy uncertainty and carbon neutrality: Evidence from China," Finance Research Letters, Elsevier, vol. 47(PB).
    11. Mérel, Pierre & Paroissien, Emmanuel & Gammans, Matthew, 2024. "Sufficient statistics for climate change counterfactuals," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).
    12. Patrycja Klusak & Matthew Agarwala & Matt Burke & Moritz Kraemer & Kamiar Mohaddes, 2023. "Rising Temperatures, Falling Ratings: The Effect of Climate Change on Sovereign Creditworthiness," Management Science, INFORMS, vol. 69(12), pages 7468-7491, December.
    13. Kuralbayeva, Karlygash, 2021. "Forest carbon offsets over a smart ledger," SocArXiv hxtkg, Center for Open Science.
    14. Michael Peneder & Spyros Arvanitis & Christian Rammer & Tobias Stucki & Martin Wörter, 2022. "Policy instruments and self-reported impacts of the adoption of energy saving technologies in the DACH region," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(2), pages 369-404, May.
    15. Nelson, Tim & Pascoe, Owen & Calais, Prabpreet & Mitchell, Lily & McNeill, Judith, 2019. "Efficient integration of climate and energy policy in Australia’s National Electricity Market," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 178-193.
    16. Falk, Armin & Boneva, Teodora & Chopra, Felix, 2021. "Fighting Climate Change: the Role of Norms, Preferences, and Moral Values," CEPR Discussion Papers 16343, C.E.P.R. Discussion Papers.
    17. Arfaoui, Nadia & Naeem, Muhammad Abubakr & Boubaker, Sabri & Mirza, Nawazish & Karim, Sitara, 2023. "Interdependence of clean energy and green markets with cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    18. Gregory Casey & Stephie Fried & Ethan Goode, 2023. "Projecting the Impact of Rising Temperatures: The Role of Macroeconomic Dynamics," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(3), pages 688-718, September.
    19. Hwang, Jeong Ha & Kim, Seung Min & Han, Ji Wan & Kim, Kwansoo, 2021. "Quantifying Climate Risk Using Crop Insurance Data: The Case of Spring Frost Damage in Korean Apple Orchards," 2021 Annual Meeting, August 1-3, Austin, Texas 313937, Agricultural and Applied Economics Association.
    20. Richard Peter, 2024. "The economics of self-protection," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 6-35, March.

    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:circec:v:4:y:2024:i:4:d:10.1007_s43615-024-00401-6. 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.