Description
Taylor & Francis Ltd The Earthscan Reader On Risk 2009 Edition by Ragnar E. Lofstedt, Asa Boholm
This new anthology is a comprehensive introduction to the field of risk theory. The introduction provides the ideal starting point for students and professionals new to risk studies and offers a concise refresher for researchers and practitioners. Coverage includes the origins of the 'concept of risk' and its often misunderstood cousin 'uncertainty,' before moving on to address risk perception, risk communication, the idea of trust and post trust as well as risk in policy and regulation with a close look at the Precautionary Principle. Following the introduction, the volume includes a selection of the most significant and influential works on risk in their entirety. These selections, organized thematically to cover the breadth and depth of the field, provide greater detail and elaborate on the key themes and major developments in risk studies. Together they comprise the essential literature necessary for a full understanding of risk theory and practice on any issue and in any context. Part I: The Concept of Risk * The Policy Implications of Differing Concepts of Risk * A Philosophical Perspective on Risk * Uncertain Times * The Notion of 'Risk' and the Development of Modernity * Part II: Risk Perception * Gender, Race, and Perceived Risk* How Safe is Safe Enough? A Psychometric Study of Attitudes towards Technological Risks and Benefits * Risk as Feelings * Part III: Communication about Risk * Accounting for the Social Context of Risk Communication * Risk Communication and Management in the 21st Century * Part IV: Trust and Post-Trust * Exploring the Dimensionality of Trust in Risk Regulation * Salient Value Similarity, Social Trust, and Risk/Benefit Perception * Part V: Policy and Regulation * Risk-based Decision Analysis in Support of Precautionary Policies * Risk Regulation Under Pressure: Problem Solving or Blame Shifting? * The Precautionary Principle and its Policy Implications * Uncertainty and Environmental Learning:* Index