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Users’ Experiences with the Use of Transaction Data to Estimate Consumption-Based Emissions in a Carbon Calculator

Author

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  • Wolmet Barendregt

    (Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
    All authors contributed equally to this work.)

  • Aksel Biørn-Hansen

    (Department of Human Centered Technology, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden
    All authors contributed equally to this work.)

  • David Andersson

    (Department of Psychology, University of Gothenburg, 413 14 Gothenburg, Sweden
    All authors contributed equally to this work.)

Abstract

With global greenhouse gas (GHG) emissions ever increasing, we are currently seeing a renewed interest in carbon footprint calculators (or carbon calculators for short). While carbon calculators have traditionally calculated emissions based on user input about e.g., food, heating, and traveling, a new development in this area is the use of transaction data to also estimate emissions based on consumption. Such carbon calculators should be able to provide users with more accurate estimations, easier input possibilities, and an incentive to continue using them. In this paper, we present the results from a survey sent to the users of such a novel carbon calculator, called Svalna. Svalna offers users the possibility to connect their bank account. The transaction data are then coupled with Environmental Extended Multi Regional Input Output data (EE-MRIO) for Swedish conditions which are used to determine a continuous overview of the user’s greenhouse gas emissions from consumption. The aim of the survey was to (a) understand whether people are willing to connect their bank account, (b) whether they trust the calculations of their emissions, and (c) whether they think the use of Svalna has an effect on their behaviour. Furthermore, we wanted to know how Svalna could be improved. While the results of the survey showed that many users were willing to connect their bank account, a rather large part of the users perceived safety risks in doing so. The users also showed an only average level of trust in the correctness of the estimated greenhouse gas emissions. A lack of trust was attributed to experiencing technical problems but also to not knowing how the emissions were calculated and because the calculator could not capture all details of the user’s life. However, many users still indicated that the use of Svalna had helped them to initiate action to reduce their emissions. In order to improve Svalna, the users wanted to be able to provide more details, e.g., by scanning receipts and get better options for dealing with a shared economy. We conclude this paper by discussing some opportunities and challenges for the use of transaction data in carbon footprint calculators.

Suggested Citation

  • Wolmet Barendregt & Aksel Biørn-Hansen & David Andersson, 2020. "Users’ Experiences with the Use of Transaction Data to Estimate Consumption-Based Emissions in a Carbon Calculator," Sustainability, MDPI, vol. 12(18), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7777-:d:416524
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    References listed on IDEAS

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    1. Birgitta Gatersleben & Niamh Murtagh & Wokje Abrahamse, 2014. "Values, identity and pro-environmental behaviour," Contemporary Social Science, Taylor & Francis Journals, vol. 9(4), pages 374-392, December.
    2. Sarah E. West & Anne Owen & Katarina Axelsson & Chris D. West, 2016. "Evaluating the Use of a Carbon Footprint Calculator: Communicating Impacts of Consumption at Household Level and Exploring Mitigation Options," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 396-409, June.
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    Cited by:

    1. Magdalena Wróbel-Jędrzejewska & Elżbieta Polak, 2023. "Carbon Footprint Analysis of Ice Cream Production," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    2. Hua Huang & Daizhong Su & Wenjie Peng & You Wu, 2020. "Development of a Mobile Application System for Eco-Accounting," Sustainability, MDPI, vol. 12(22), pages 1-24, November.

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