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Titlebook: Defining and Measuring Economic Resilience from a Societal, Environmental and Security Perspective; Adam Rose Book 2017 The Editor(s) (if

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书目名称Defining and Measuring Economic Resilience from a Societal, Environmental and Security Perspective
编辑Adam Rose
视频video
概述Provides a rigorous definition of economic resilience to disasters.Studies development and application of an operational metric of resilience.Serves as a guide to the development of a resilience index
丛书名称Integrated Disaster Risk Management
图书封面Titlebook: Defining and Measuring Economic Resilience from a Societal, Environmental and Security Perspective;  Adam Rose Book 2017 The Editor(s) (if
描述This volume presents an economic framework for the analysis of resilience in relation to societal, environmental, and personal security perspectives. It offers a rigorous definition of economic resilience and an operational metric, and it shows how they can be applied to measuring and applying the concept to private and public decision making. Major dimensions of resilience and their implications for human development are explored. Resilience is emphasized as a coping mechanism for dealing with short-term crises, such as natural disasters and acts of terrorism. As well, the author shows how lessons learned in the short-run out of necessity and through the application of human ingenuity can be incorporated into long-run sustainability practices. In part, this opportunity stems from viewing resilience as a process, one that enhances individual and societal competencies. .The book links economic resilience to several other disciplines and examines the relationshipbetween resilience and various other key concepts such as vulnerability, adaptation, and sustainability. It scrutinizes the measurement of economic resilience in terms of temporal, spatial, and scale dimensions. It examines t
出版日期Book 2017
关键词Economic resilience; Societal resilience; Disaster recovery; Disaster risk management; Actionable variab
版次1
doihttps://doi.org/10.1007/978-981-10-1533-5
isbn_softcover978-981-10-9378-4
isbn_ebook978-981-10-1533-5Series ISSN 2509-7091 Series E-ISSN 2509-7105
issn_series 2509-7091
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Book 2017It offers a rigorous definition of economic resilience and an operational metric, and it shows how they can be applied to measuring and applying the concept to private and public decision making. Major dimensions of resilience and their implications for human development are explored. Resilience is
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Dictionary of Electrical Engineeringutions (see, e.g., Levin S, Environ Dev Econ. Special Issue on Resilience and Sustainability 3(2):221–235, 1998). In the disaster literature, it has been an important dimension of hazard economic loss estimation and terrorist consequence analysis (Rose A, J Homeland Secur Emerg Manag 6(1):6, 2009a).
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Economic Resilience,utions (see, e.g., Levin S, Environ Dev Econ. Special Issue on Resilience and Sustainability 3(2):221–235, 1998). In the disaster literature, it has been an important dimension of hazard economic loss estimation and terrorist consequence analysis (Rose A, J Homeland Secur Emerg Manag 6(1):6, 2009a).
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Co-benefits, objective will be undertaken, though not all of these actions are recognized. But there are several broader benefits of DRM to businesses themselves and to the economy as a whole that are typically neglected, and hence businesses underinvest in DRM both from their own perspective and also from the standpoint of society.
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Dictionary of Electrical EngineeringTo make prudent resource management decisions, one must consider the cost of each resilience tactic as well as its effectiveness. One tactic might be capable of reducing more than twice the BI losses of another, but if it costs ten times as much to implement, the former is not the better option.
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Risk Management,To make prudent resource management decisions, one must consider the cost of each resilience tactic as well as its effectiveness. One tactic might be capable of reducing more than twice the BI losses of another, but if it costs ten times as much to implement, the former is not the better option.
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