“…This percentage varies in time and space, but there is always a significant proportion of people who live near the sea and who have coastal risks in mind. This significant proportion can appear inconsistent, because to live in a place in which risks spontaneously come to mind might create cognitive dissonance (Festinger, 1957), and therefore a feeling of uneasiness. However, in our surveys we did not find this problem of well-being.…”
Section: Inhabitants Cite Risks But Are Strongly Place Attachedmentioning
This theoretical paper provides a new perspective on coastal vulnerability analysis by combining geography and psycho-social approaches. Most studies on perceptions of coastal risks report that people who are exposed have a low level of perceived vulnerability (they are not anxious), strong place attachment (they love their living place and want to live close to the sea) and are resistant to changes in adaptation strategies (they do not want to move away). For natural scientists and managers, these findings usually appear as paradoxes that enhance vulnerability and lead to these people being labelled 'irrational', 'in denial', 'uninformed' or 'uneducated'. Based on our long-term studies among coastal inhabitants in France, we believe that using Social Representations Theory (SRT) in this context enables us to go beyond these preconceived and individual-centred ideas towards a more contextualized view. This position extends theoretical risk/vulnerability research and is applicable to coastal risk management.
“…This percentage varies in time and space, but there is always a significant proportion of people who live near the sea and who have coastal risks in mind. This significant proportion can appear inconsistent, because to live in a place in which risks spontaneously come to mind might create cognitive dissonance (Festinger, 1957), and therefore a feeling of uneasiness. However, in our surveys we did not find this problem of well-being.…”
Section: Inhabitants Cite Risks But Are Strongly Place Attachedmentioning
This theoretical paper provides a new perspective on coastal vulnerability analysis by combining geography and psycho-social approaches. Most studies on perceptions of coastal risks report that people who are exposed have a low level of perceived vulnerability (they are not anxious), strong place attachment (they love their living place and want to live close to the sea) and are resistant to changes in adaptation strategies (they do not want to move away). For natural scientists and managers, these findings usually appear as paradoxes that enhance vulnerability and lead to these people being labelled 'irrational', 'in denial', 'uninformed' or 'uneducated'. Based on our long-term studies among coastal inhabitants in France, we believe that using Social Representations Theory (SRT) in this context enables us to go beyond these preconceived and individual-centred ideas towards a more contextualized view. This position extends theoretical risk/vulnerability research and is applicable to coastal risk management.
“…Our objective is to formulate and empirically test an explanatory model of coping strategies in the face of coastal flooding risk. We are focusing on coastal flooding risk as it remains misunderstood from the viewpoint of its appraisal by the public and the type of protection/adaptation action envisaged (Flanquart, 2012). Indeed, research studies show that inhabitants of exposed areas tend to underestimate this risk (Goeldner-Gianella et al, 2017; Michel-Guillou & Meur-Ferec, 2017).…”
Coastal flooding risks are becoming increasingly important because of the increasing vulnerability of coastal territories and the rise of ocean levels in relation to climate change. Studying the adaptation to these phenomena requires taking into account the coping strategies (problem-focused or emotional-focused coping) implemented by the inhabitants of the exposed territories. A theoretical model of situational and dispositional factors determining these strategies has been proposed and tested empirically with 583 inhabitants of the island of Guadeloupe, which is exposed to said coastal flooding risk. The fit index confirms the adequacy of the model. The results indicate that coastal flooding risk perception, difficulties to regulate emotions, and place attachment predict avoidance coping. Vigilant coping is only predicted by perceived action efficiency. The roles of duration of residence and distance from the sea have been highlighted.
“…This approach relies on the accepted view of risk situations: that they involve an actor perceiving and assessing a risk coming from a source (Scholz et al, 2012). In this sense, risks are usually socially constructed and their characteristics are closely intertwined with information available to actors (Douglas, 1992;Flanquart, 2012). Hence, any explanation of how and why states try to counter a given hazard should require researchers to look at how information about threats is treated.…”
Section: The Risk Assessment Approach: Trade Policies As Risk Mitigation Strategies Threat Sensitivitymentioning
This paper deals with protectionist barriers as a risk mitigation method to avoid contaminated or unreliable products. A spatial analysis of introduced defensive measures (namely, technical barriers) has been carried out to determine the characteristics of neighbouring societies that stimulate protectionist reactions from states. This willingness to establish technical barriers against goods was attributed to neighbouring citizens' desire to violate accepted rules and deviate from common standards (including manufacturing). Countries surrounded by nonconformist trade partners considered opening their borders to be hazardous. The abovementioned results were observed in countries with vulnerabilities of different kinds (low GDP PPP per capita, Competitiveness Index, Globalization Index and high state fragility). Contiguity effects have been estimated using unorthodox quantitative methods: by computing Bivariate Moran's I coefficient and evaluating local indicators of spatial association (LISA methodology). The chosen dependent and independent variables were observed for the period between 2005 and 2019.
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