Using Thresholds of Severity to Threats to and the Resilience of Human Systems in Measuring Human Security

Ever since the contemporary view of the concept of human security has expanded from a state level to an individual level, it has been tied to a normative measurement of risk from perennial and pervasive threats that affect the vital core of human values. The vital core comprises an individual’s set...

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Bibliographic Details
Published in:Social indicators research 2016-12, Vol.129 (3), p.979-999
Main Authors: Orencio, Pedcris M., Endo, Aiko, Taniguchi, Makoto, Fujii, Masahiko
Format: Article
Language:English
Subjects:
Academic Achievement
Food
Freedom
Freedoms
Health surveys
Human Geography
Human security
Management Systems
Measures
Microeconomics
Operational definitions
Public Health
Quality of Life Research
Resilience
Risk
Security
Social research
Social Sciences
Sociology
Studies
Values
Well being
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Summary:Ever since the contemporary view of the concept of human security has expanded from a state level to an individual level, it has been tied to a normative measurement of risk from perennial and pervasive threats that affect the vital core of human values. The vital core comprises an individual’s set of functions for development relative to conditions such as safety, freedom, and wellbeing. Despite theoretical advances, a universal method for operationalizing the current human security concept has not yet been fully achieved. In this paper, we review different indicator-based frameworks in order to suggest a more feasible measurement of security at the individual level at different geographical scales. We see that a procedural evaluation at this level could be enhanced by using indicators based on (1) a severity threshold for risks that arise from threats that affect the vital core of an individual and (2) the overall capacity of an individual to respond to these threats. Suitability, accessibility, and reliability of data for evaluating the indicator variables of a particular security objective, however, could be a challenge when determining the variables on a local scale. Combining variables of varying quantitative and qualitative data types seems plausible only that there exists a grey area on which scale and dimension the approach can be more effectively applied.
ISSN:0303-8300
1573-0921
DOI:10.1007/s11205-015-1152-x