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Betting on ESGs Impacts Long-Term Market Value. The Case of European Energy Firms During COVID-19 and Ukraine Armed Conflicts

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Cutting-Edge Business Technologies in the Big Data Era (SICB 2023)

Part of the book series: Studies in Big Data ((SBD,volume 135))

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Abstract

The present study evaluates how environmental, social and governance (ESG) as well as corporate social responsibility (CSR) contribute to firms’ resiliency and ability to overcome crises. Taking as a standing point the triple bottom line theory, the analysis is focused on Germany and Spain, two of the most affected nations considering COVID-19 pandemic and Ukraine armed conflicts. In this context, the companies studied operate in the energy industry, being an essential economic activity and one of the hardest hit by both crises. Following a quantitative -shareprice evolution- and qualitative -ESG adoption by companies- analysis, main findings show that sustainable business models and an adequate ESG Management, help companies to be more resilient in a scenario of crisis. Findings contribute to re-evaluate the post-modern World economy together with filling some research gaps. Future recommended research would include analyzing other combinations of crisis-country-sector analysis.

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Author information

Authors and Affiliations

  1. IMC University of Applied Sciences, Krems, Austria

    Marina Mattera

  2. Universidad Nebrija, Madrid, Spain

    Marina Mattera

  3. Universidad Europea de Madrid, Madrid, Spain

    Federico Soto

Authors
  1. Marina Mattera
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  2. Federico Soto
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Corresponding author

Correspondence to Marina Mattera .

Editor information

Editors and Affiliations

  1. Faculty of Business, Information Systems and Business Analytics, Al-Zaytoonah University of Jordan, Amman, Jordan

    Saad G. Yaseen

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Mattera, M., Soto, F. (2023). Betting on ESGs Impacts Long-Term Market Value. The Case of European Energy Firms During COVID-19 and Ukraine Armed Conflicts. In: Yaseen, S.G. (eds) Cutting-Edge Business Technologies in the Big Data Era. SICB 2023. Studies in Big Data, vol 135. Springer, Cham. https://doi.org/10.1007/978-3-031-42463-2_18

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