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        Turbulence: A Corporate Perspective on Collaborating for Resilience

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        Author(s)
        Kupers, Roland
        Language
        English
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        Abstract
        The ever tighter coupling of our food, water and energy systems, in the context of a changing climate is leading to increasing turbulence in the world. As a consequence, it becomes ever more crucial to develop cities, regions, and economies with resilience in mind. Because of their global reach, substantial resources, and information-driven leadership structures, multinational corporations can play a major, constructive role in improving our understanding and design of resilient systems. This volume is the product of the Resilience Action Initiative, a collaboration among Dow, DuPont, IBM, McKinsey en Co., Shell, Siemens, Swiss Re, Unilever, and Yara designed to explore possible corporate contributions to global resilience, especially at the nexus of water, food and energy. Aggressively forward-thinking, and consistent with an enlightened self-interest, the ideas considered here represent a corporate perspective on the broad collaborations required for a more resilient world.
        URI
        http://library.oapen.org/handle/20.500.12657/33423
        Keywords
        resilience models; water-energy-food nexus; Green infrastructure; Infrastructure
        DOI
        10.26530/OAPEN_477310
        Publisher
        Amsterdam University Press
        Publisher website
        https://www.aup.nl/
        Publication date and place
        2014
        Classification
        Business strategy
        Public remark
        Relevant Wikipedia pages: Green infrastructure - https://en.wikipedia.org/wiki/Green_infrastructure; Infrastructure - https://en.wikipedia.org/wiki/Infrastructure
        Rights
        https://creativecommons.org/licenses/by-nc-nd/3.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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