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A cross-sectoral analysis of climate change risk drivers based on companies’ responses to the CDP’s climate change information request

Author

Listed:
  • Markus Groth

    (Leuphana University Lueneburg, Germany; Climate Service Center Germany (GERICS))

  • Annette Brunsmeier

    (not available)

Abstract

Companies are increasingly concerned with current and future climate change risks that have the potential to generate a substantial change in their business operations, revenue and/or expenditure. Therefore, the paper focusses on the companies’ perspective and aims to create a higher awareness of companies’ risk drivers when it comes to specific challenges of different sectors as well as each company within its sector. Based on companies’ responses to the CDP’s climate change information request 2013, including 125 companies from Germany, Austria and Switzerland, the paper presents a detailed companies´ perspective on climate-related risk-drivers, comprising i) changes in regulation, ii) changes in physical climate parameters and iii) changes in other climate-related developments. Hence, the paper provides insights into climate change and adaptation related risks for companies. Furthermore, the results also facilitate a comparison of risk drivers between and within sectors. This also enables companies to i) position themselves regarding the potential threat they might be facing now and in the future, ii) assess their competitive advantages and disadvantages as well as prioritize risk drivers they have to deal with by evaluating their own position within the sector-specific analysis. Regarding specific threats companies are facing, they furthermore have the possibility to take good practices and innovative ideas from companies out of different sectors into consideration, aiming for an efficient and effective adaptation to climate change. Thus, the study’s findings can also serve as an innovative starting point for further research as well as the practical implementation of adaptation measures.

Suggested Citation

  • Markus Groth & Annette Brunsmeier, 2016. "A cross-sectoral analysis of climate change risk drivers based on companies’ responses to the CDP’s climate change information request," Working Paper Series in Economics 364, University of Lüneburg, Institute of Economics.
    • Handle: RePEc:lue:wpaper:364
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    References listed on IDEAS

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    1. Shardul Agrawala & Maëlis Carraro & Nicholas Kingsmill & Elisa Lanzi & Michael Mullan & Guillaume Prudent-Richard, 2011. "Private Sector Engagement in Adaptation to Climate Change: Approaches to Managing Climate Risks," OECD Environment Working Papers 39, OECD Publishing.
    2. Martina Linnenluecke & Andrew Griffiths, 2012. "Assessing organizational resilience to climate and weather extremes: complexities and methodological pathways," Climatic Change, Springer, vol. 113(3), pages 933-947, August.
    3. Busch, Timo, 2011. "Organizational adaptation to disruptions in the natural environment: The case of climate change," Scandinavian Journal of Management, Elsevier, vol. 27(4), pages 389-404.
    4. Annette Brunsmeier & Markus Groth, 2015. "Hidden climate change related risks for the private sector," Working Paper Series in Economics 333, University of Lüneburg, Institute of Economics.
    5. Martina K. Linnenluecke & Andrew Griffiths & Monika Winn, 2012. "Extreme Weather Events and the Critical Importance of Anticipatory Adaptation and Organizational Resilience in Responding to Impacts," Business Strategy and the Environment, Wiley Blackwell, vol. 21(1), pages 17-32, January.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Markus Groth & Peer Seipold, 2017. "Prototypische Entwicklung eines Sensibilisierungs- und Analyseansatzes zur unternehmerischen Anpassung an die Folgen des Klimawandels," Sustainability Nexus Forum, Springer, vol. 25(3), pages 203-211, November.

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    More about this item

    Keywords

    business sectors; CDP climate change information request; climate change adaptation; climate change mitigation; climate reporting; risk drivers;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General
    • M48 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Government Policy and Regulation
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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