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Good or bad? Digitalisation and green preferences

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  • Mihai Mutascu

    (Zeppelin University Friedrichshafen, Germany, West University of Timişoara, Faculty of Economics and Business Administration, (ROMANIA), LEO - Laboratoire d'Économie d'Orleans [2022-...] - UO - Université d'Orléans - UT - Université de Tours - UCA - Université Clermont Auvergne)

  • Florian Horky

    (Zeppelin University Friedrichshafen, Germany, West University of Timişoara, Faculty of Economics and Business Administration, (ROMANIA), MENDELU - Mendel University in Brno)

  • Cristina Strango

    (West University of Timişoara, Faculty of Economics and Business Administration, (ROMANIA), LEO - Laboratoire d'Économie d'Orleans [2022-...] - UO - Université d'Orléans - UT - Université de Tours - UCA - Université Clermont Auvergne)

Abstract

This paper explores the influence of digitalisation on green preferences based on a theoretical approach by extending Busato et al.'s (2022) model. Environmental shocks, environmental status, quality of green digitalised information, and uncertainty avoidance conditions are also taken into account.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Mihai Mutascu & Florian Horky & Cristina Strango, 2023. "Good or bad? Digitalisation and green preferences," Post-Print hal-04180154, HAL.
    • Handle: RePEc:hal:journl:hal-04180154
    DOI: 10.1016/j.eneco.2023.106640
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    References listed on IDEAS

    as
    1. Carmen Nadia CIOCOIU, 2011. "Integrating Digital Economy And Green Economy: Opportunities For Sustainable Development," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 6(1), pages 33-43, February.
    2. Zerbib, Olivier David, 2019. "The effect of pro-environmental preferences on bond prices: Evidence from green bonds," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 39-60.
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    Cited by:

    1. Shi, Xuanyi & Lin, Yongjia & Wang, Yizhi, 2024. "Institutional investor heterogeneity and green innovation in China: Does digital transformation matter?," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 994-1014.
    2. Horky, Florian & Fidrmuc, Jarko, 2024. "Financial development and renewable energy adoption in EU and ASEAN countries," Energy Economics, Elsevier, vol. 131(C).
    3. Zhengang Zhang & Peilun Li & Liangxiong Huang & Yichen Kang, 2024. "The impact of artificial intelligence on green transformation of manufacturing enterprises: evidence from China," Economic Change and Restructuring, Springer, vol. 57(4), pages 1-36, August.
    4. Pingkuo Liu & Jiahao Wu, 2023. "Game Analysis on Energy Enterprises’ Digital Transformation—Strategic Simulation for Guiding Role, Leading Role and Following Role," Sustainability, MDPI, vol. 15(13), pages 1-33, June.

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    More about this item

    JEL classification:

    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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