IDEAS home Printed from https://ideas.repec.org/p/zbw/kitiip/65n.html
   My bibliography  Save this paper

Energy behavior in Karlsruhe and Germany

Author

Listed:
  • Klarmann, Martin
  • Pade, Robin
  • Fichtner, Wolf
  • Lehmann, Nico

Abstract

Climate change mitigation is one of the greatest human challenges. The associated transformation of energy supply and demand to low-carbon energy sources requires not only technical solutions, but also involves consumers and as such, represents a holistic societal process. To date, however, the energy-related behavior of consumers is poorly understood. Against this backdrop, energy panels may be a viable solution to monitor behavior and collect adequate data over long periods. Yet, consumer panels are often established at the local level, raising questions about whether a sample is representative of the population of interest. We take a first step into answering this question by comparing a local sample of household consumers from the Karlsruhe area in Southwest Germany with a sample from Germany. Our analyses are based on a sample of more than 1,000 respondents surveyed via computer-assisted telephone interviews (CATI) in summer 2021. Overall, the results show strong similarities between Karlsruhe and Germany, both in terms of sociodemographics and energy consumption behavior. Nonetheless, there are also differences between the two samples, for example, in terms of political orientation or climate concern. Future research should examine whether and to what extent these differences are relevant to subsequent analyses and how a panel can still be used to approximate the population under investigation.

Suggested Citation

  • Klarmann, Martin & Pade, Robin & Fichtner, Wolf & Lehmann, Nico, 2022. "Energy behavior in Karlsruhe and Germany," Working Paper Series in Production and Energy 65, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
  • Handle: RePEc:zbw:kitiip:65n
    DOI: 10.5445/IR/1000154120
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/267804/1/1829998137.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.5445/IR/1000154120?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. Jelke Bethlehem, 2010. "Selection Bias in Web Surveys," International Statistical Review, International Statistical Institute, vol. 78(2), pages 161-188, August.
    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. Ramón Ferri-García & María del Mar Rueda, 2022. "Variable selection in Propensity Score Adjustment to mitigate selection bias in online surveys," Statistical Papers, Springer, vol. 63(6), pages 1829-1881, December.
    2. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    3. Giulia Casu & Marco Giovanni Mariani & Rita Chiesa & Dina Guglielmi & Paola Gremigni, 2021. "The Role of Organizational Citizenship Behavior and Gender between Job Satisfaction and Task Performance," IJERPH, MDPI, vol. 18(18), pages 1-15, September.
    4. Bertram, Christine & Rehdanz, Katrin, 2015. "The role of urban green space for human well-being," Ecological Economics, Elsevier, vol. 120(C), pages 139-152.
    5. Galperin, Hernan & Arcidiacono, Malena, 2021. "Employment and the gender digital divide in Latin America: A decomposition analysis," Telecommunications Policy, Elsevier, vol. 45(7).
    6. Luis Castro-Martín & María del Mar Rueda & Ramón Ferri-García, 2020. "Estimating General Parameters from Non-Probability Surveys Using Propensity Score Adjustment," Mathematics, MDPI, vol. 8(11), pages 1-14, November.
    7. Grilli, Gianluca & Curtis, John, 2021. "An evaluation of public initiatives to change behaviours that affect water quality," Papers WP696, Economic and Social Research Institute (ESRI).
    8. Brian Fabo & Sharon Sarah Belli, 2017. "(Un)beliveable wages? An analysis of minimum wage policies in Europe from a living wage perspective," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-11, December.
    9. Kawamura, Tetsuya & Mori, Tomoharu & Motonishi, Taizo & Ogawa, Kazuhito, 2021. "Is Financial Literacy Dangerous? Financial Literacy, Behavioral Factors, and Financial Choices of Households," Journal of the Japanese and International Economies, Elsevier, vol. 60(C).
    10. Paige Coyne & Zach Staffell & Sarah J. Woodruff, 2021. "Recreational Screen Time Use among a Small Sample of Canadians during the First Six Months of the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(23), pages 1-9, December.
    11. Berton, Fabio & Migheli Matteo, 2015. "Estimating the marginal rate of substitution between wage and employment protection," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201529, University of Turin.
    12. Felderer Barbara & Kirchner Antje & Kreuter Frauke, 2019. "The Effect of Survey Mode on Data Quality: Disentangling Nonresponse and Measurement Error Bias," Journal of Official Statistics, Sciendo, vol. 35(1), pages 93-115, March.
    13. Lang, Megan & Ligon, Ethan, 2022. "SMS Surveys of Selected Expenditures," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7p7336h5, Department of Agricultural & Resource Economics, UC Berkeley.
    14. Curtis, John & Breen, Benjamin & O'Reilly, Paul, 2016. "Recreational Angling Tournaments: Participants’ Expenditures," Papers WP546, Economic and Social Research Institute (ESRI).
    15. Ramón Ferri-García & María del Mar Rueda, 2020. "Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-19, April.
    16. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
    17. Booth, Hollie & Mourato, Susana & Milner-Gulland, E.J., 2022. "Investigating acceptance of marine tourism levies, to cover the opportunity costs of conservation for coastal communities," Ecological Economics, Elsevier, vol. 201(C).
    18. Shen, Xuejing & Li, Shaoping & Liu, Chengfang & Luo, Renfu & Chen, Yuting, 2021. "Online Learning during the COVID-19 Pandemic Among Primary and High School Students in Rural China," 2021 Conference, August 17-31, 2021, Virtual 315351, International Association of Agricultural Economists.
    19. Emmert, Martin & Hessemer, Stefanie & Meszmer, Nina & Sander, Uwe, 2014. "Do German hospital report cards have the potential to improve the quality of care?," Health Policy, Elsevier, vol. 118(3), pages 386-395.
    20. Jinsoo Hwang & Insin Kim & Muhammad Awais Gulzar, 2020. "Understanding the Eco-Friendly Role of Drone Food Delivery Services: Deepening the Theory of Planned Behavior," Sustainability, MDPI, vol. 12(4), pages 1-12, February.

    More about this item

    Keywords

    Energy consumption; Citizen attitudes; Energy panel; Consumer behavior;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:kitiip:65n. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.iip.kit.edu/ .

    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.