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Technological diffusion and preference learning in the world of Homo sustinens: The challenges for politics

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  • Cordes, Christian
  • Schwesinger, Georg

Abstract

This article relates agents' learning of a preference for a technology, competition of technologies, and their relative diffusion among potential adopters. Competitive interactions between two technologies are captured by an extended Lotka–Volterra model. To also incorporate preference learning on the part of potential adopters of these technologies, we combine it with a model of cultural learning based on role model, conformist, and hedonistic learning. Our theoretical analysis is illustrated by a concrete example: the competition between electric mobility and conventional forms of individual mobility. The model enables an evaluation of specific policy instruments as to the promotion of sustainable technology.

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  • Cordes, Christian & Schwesinger, Georg, 2014. "Technological diffusion and preference learning in the world of Homo sustinens: The challenges for politics," Ecological Economics, Elsevier, vol. 97(C), pages 191-200.
  • Handle: RePEc:eee:ecolec:v:97:y:2014:i:c:p:191-200
    DOI: 10.1016/j.ecolecon.2013.11.013
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    2. Tsai, Bi-Huei & Chang, Chih-Jen & Chang, Chun-Hsien, 2016. "Elucidating the consumption and CO2 emissions of fossil fuels and low-carbon energy in the United States using Lotka–Volterra models," Energy, Elsevier, vol. 100(C), pages 416-424.
    3. Diaz-Rainey, Ivan & Ashton, John K., 2015. "Investment inefficiency and the adoption of eco-innovations: The case of household energy efficiency technologies," Energy Policy, Elsevier, vol. 82(C), pages 105-117.
    4. Nathalie Lazaric & Pasquale Tridico & Sebastiano Fadda, 2020. "Governing structural changes and sustainability through (new) institutions and organizations," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1267-1273, November.
    5. Babutsidze, Zakaria & Chai, Andreas, 2018. "Look at me Saving the Planet! The Imitation of Visible Green Behavior and its Impact on the Climate Value-Action Gap," Ecological Economics, Elsevier, vol. 146(C), pages 290-303.
    6. Joshua Henkel & Georg Schwesinger, 2020. "Establishing Sustainable Consumption - How Future Policies Can Channel Consumer Preferences," Bremen Papers on Economics & Innovation 2007, University of Bremen, Faculty of Business Studies and Economics.
    7. Nathalie Lazaric & Fabrice Guel & Jean Belin & Vanessa Oltra & Sébastien Lavaud & Ali Douai, 2020. "Determinants of sustainable consumption in France: the importance of social influence and environmental values," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1337-1366, November.
    8. Braganza, Oliver, 2022. "Market paternalism: Do people really want to be nudged towards consumption?," ifso working paper series 23, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    9. Marc F. Bellemare, 2018. "Contract farming: opportunity cost and trade†offs," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 279-288, May.
    10. Silvano Cincotti & Wolfram Elsner & Nathalie Lazaric & Anastasia Nesvetailova & Engelbert Stockhammer, 2020. "Towards an evolutionary political economy. Editorial to the inaugural issue of the Review of Evolutionary Political Economy REPE," Review of Evolutionary Political Economy, Springer, vol. 1(1), pages 1-12, May.
    11. Christian Cordes & Joshua Henkel, 2022. "Enhanced "Green Nudging": Tapping the Channels of Cultural Transmission," Bremen Papers on Economics & Innovation 2208, University of Bremen, Faculty of Business Studies and Economics.
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    More about this item

    Keywords

    Consumer behavior; Cultural evolution; Learning; Sustainability; Diffusion;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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