IDEAS home Printed from https://ideas.repec.org/a/wfo/monber/y2018i12p899-908.html
   My bibliography  Save this article

Mögliche Auswirkungen der Digitalisierung auf Umwelt und Energieverbrauch

Author

Listed:
  • Mathias Kirchner

    (WIFO)

Abstract

Digitalisierung beeinflusst anhand vieler unterschiedlicher Wirkungskanäle den Energieverbrauch und die Umwelt. Direkt dämpft sie durch die Verfügbarkeit besserer Technologien sowie (fast) immaterieller Güter und Dienstleistungen den Energie- und Ressourcenverbrauch, trägt aber auch zum verstärkten Aufkommen von "E-Waste" bei. Ökonomische Wirkungen und Reaktionen könnten die positiven Umwelteffekte vermindern (Rebounds, z. B. Steigerung der Nachfrage aufgrund niedrigerer Preise, Wirtschaftswachstum). Ausschlaggebend werden am Ende aber wohl systemische Effekte (neue Wertschöpfungsstrukturen, gesellschaftliche und institutionelle Veränderungen) sein, die zur Zeit noch schwierig zu schätzen sind. Digitalisierung hat jedenfalls das Potential, eine sozial-ökologische Transformation der Gesellschaft zu unterstützen, die notwendig ist, um z. B. die Klimaziele des Übereinkommens von Paris 2015 zu erreichen. Anhand eines Einblickes in die Vorteile eines Smart Grid wird dieses Potential exemplarisch aufgezeigt. Um das transformative Potential der Digitalisierung zu erschließen, benötigt es unterstützende Rahmenbedingungen, wie z. B. eine ökologische Steuerreform, die Berücksichtigung sozialer Akzeptanz und eine weltweite Perspektive.

Suggested Citation

  • Mathias Kirchner, 2018. "Mögliche Auswirkungen der Digitalisierung auf Umwelt und Energieverbrauch," WIFO Monatsberichte (monthly reports), WIFO, vol. 91(12), pages 899-908, December.
    • Handle: RePEc:wfo:monber:y:2018:i:12:p:899-908
    Note: With English abstract.
    as

    Download full text from publisher

    File URL: https://www.wifo.ac.at/wwa/pubid/61555
    File Function: abstract
    Download Restriction: Payment required
    ---><---

    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. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis Part 1: Theoretical framework," Ecological Economics, Elsevier, vol. 86(C), pages 199-210.
    2. Cédric Gossart, 2015. "Rebound effects and ICT : a review of the literature," Post-Print hal-01258112, HAL.
    3. Røpke, Inge & Haunstrup Christensen, Toke & Ole Jensen, Jesper, 2010. "Information and communication technologies - A new round of household electrification," Energy Policy, Elsevier, vol. 38(4), pages 1764-1773, April.
    4. Naus, Joeri & Spaargaren, Gert & van Vliet, Bas J.M. & van der Horst, Hilje M., 2014. "Smart grids, information flows and emerging domestic energy practices," Energy Policy, Elsevier, vol. 68(C), pages 436-446.
    5. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
    6. Sorrell, Steve, 2009. "Jevons' Paradox revisited: The evidence for backfire from improved energy efficiency," Energy Policy, Elsevier, vol. 37(4), pages 1456-1469, April.
    7. Cédric Gossart, 2015. "Rebound effects and ICT : a review of the literature," Grenoble Ecole de Management (Post-Print) hal-01258112, HAL.
    8. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    9. Eric Williams, 2011. "Environmental effects of information and communications technologies," Nature, Nature, vol. 479(7373), pages 354-358, November.
    10. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    11. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis. Part 2: Simulation," Ecological Economics, Elsevier, vol. 86(C), pages 188-198.
    12. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
    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. Julia Bock-Schappelwein & Michael Böheim & Elisabeth Christen & Stefan Ederer & Matthias Firgo & Klaus Friesenbichler & Werner Hölzl & Mathias Kirchner & Angela Köppl & Agnes Kügler & Christine Mayrhu, 2018. "Politischer Handlungsspielraum zur optimalen Nutzung der Vorteile der Digitalisierung für Wirtschaftswachstum, Beschäftigung und Wohlstand," WIFO Studies, WIFO, number 61256.
    2. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2015. "A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand," Energy Economics, Elsevier, vol. 49(C), pages 599-609.
    3. Belaïd, Fateh & Youssef, Adel Ben & Lazaric, Nathalie, 2020. "Scrutinizing the direct rebound effect for French households using quantile regression and data from an original survey," Ecological Economics, Elsevier, vol. 176(C).
    4. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2014. "Measuring energy efficiency and rebound effects using a stochastic demand frontier approach: the US residential energy demand," Efficiency Series Papers 2014/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    5. Lecca, Patrizio & McGregor, Peter G. & Swales, J. Kim & Turner, Karen, 2014. "The added value from a general equilibrium analysis of increased efficiency in household energy use," Ecological Economics, Elsevier, vol. 100(C), pages 51-62.
    6. Möller, Jasmin & Daschkovska, Kateryna & Bogaschewsky, Ronald, 2019. "Sustainable city logistics: rebound effects from self-driving vehicles," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 299-337, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    7. Kong, Li & Mu, Xianzhong & Hu, Guangwen & Tu, Chuang, 2023. "Will energy efficiency improvements reduce energy consumption? Perspective of rebound effect and evidence from beijing," Energy, Elsevier, vol. 263(PA).
    8. Milin Lu & Zhaohua Wang, 2017. "Rebound effects for residential electricity use in urban China: an aggregation analysis based E-I-O and scenario simulation," Annals of Operations Research, Springer, vol. 255(1), pages 525-546, August.
    9. Ghosh, Neal K. & Blackhurst, Michael F., 2014. "Energy savings and the rebound effect with multiple energy services and efficiency correlation," Ecological Economics, Elsevier, vol. 105(C), pages 55-66.
    10. Estrella Trincado & Antonio Sánchez-Bayón & José María Vindel, 2021. "The European Union Green Deal: Clean Energy Wellbeing Opportunities and the Risk of the Jevons Paradox," Energies, MDPI, vol. 14(14), pages 1-23, July.
    11. Jarke-Neuert, Johannes & Perino, Grischa, 2020. "Energy efficiency promotion backfires under cap-and-trade," Resource and Energy Economics, Elsevier, vol. 62(C).
    12. Mizobuchi, Kenichi & Hiroaki, Yamagami, 2024. "Impact of time-saving technology on household electricity consumption: An automatic vacuum cleaner distribution experiment in Japan," Ecological Economics, Elsevier, vol. 223(C).
    13. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
    14. Rabaa, Simon & Wilken, Robert & Geisendorf, Sylvie, 2024. "Does recalling energy efficiency measures reduce subsequent climate-friendly behavior? An experimental study of moral licensing rebound effects," Ecological Economics, Elsevier, vol. 217(C).
    15. Du, Qiang & Han, Xiao & Li, Yi & Li, Zhe & Xia, Bo & Guo, Xiqian, 2021. "The energy rebound effect of residential buildings: Evidence from urban and rural areas in China," Energy Policy, Elsevier, vol. 153(C).
    16. Karakaya, Etem & Alataş, Sedat & Erkara, Elif & Mert, Betül & Akdoğan, Tuğba & Hiçyılmaz, Burcu, 2024. "The rebound effect of material and energy efficiency for the EU and its major trading partners," Energy Economics, Elsevier, vol. 134(C).
    17. Baležentis, Tomas & Butkus, Mindaugas & Štreimikienė, Dalia & Shen, Zhiyang, 2021. "Exploring the limits for increasing energy efficiency in the residential sector of the European Union: Insights from the rebound effect," Energy Policy, Elsevier, vol. 149(C).
    18. Chen, Qian & Zha, Donglan & Wang, Lijun & Yang, Guanglei, 2022. "The direct CO2 rebound effect in households: Evidence from China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    19. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    20. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.

    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:wfo:monber:y:2018:i:12:p:899-908. 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: Florian Mayr (email available below). General contact details of provider: https://edirc.repec.org/data/wifooat.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.