Comparative analysis of the social vulnerability assessment to climate change applied to fisheries from Spain and Turkey

AbstractThe aim of this study is to assess the climate effects on fisheries from a bottom-up approach based on fishers’ fishing experience, knowledge, and perceptions. To perform this task, a social vulnerability assessment was conducted in two different fishing areas: one in Spain and the other one in Turkey. The vulnerability was measured using the collected data and information through a structured questionnaire, and surveys were carried out among fishers in the Castelló (Spain) and the Aegean Sea (Turkey) between 2018 and 2019. Overall, the results indicated that the two studied regions have a moderate to high vulnerability and that the Aegean Sea was slightly more vulnerable than Castelló. It was also found that storms and temperature are the main climatic stressors that affect the fishing sector, and the economic indicators such as revenue from fishing in both regions showed high degrees of sensitivity. To reduce the vulnerability to climate change, adaptive measures should be implemented while taking into consideration the specific socio-economic and institutional characteristics of each region. In conclusion, the effects of climate change on the fishing sector and their social vulnerability are diverse. Consequently, there is no single climate measure that can minimize the vulnerability of fishing sectors in different regions.

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A TODIM-based approach for the assessment of social vulnerability in Jiangsu province from 2012 to 2017

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-211428 ◽

2021 ◽

pp. 1-15

Author(s):

Xiaobing Yu ◽

Xuejing Wu ◽

Hong Chen ◽

Xuming Wang ◽

Chenliang Li ◽

...

Keyword(s):

Vulnerability Assessment ◽

Social Vulnerability ◽

Local Economic Development ◽

Geographical Location ◽

Jiangsu Province ◽

Three Dimensions ◽

The North ◽

The Social ◽

North Part ◽

Social Vulnerability Assessment

Social vulnerability assessment is of great significance for risk management and reduction. Carrying out the assessment is beneficial to the sustainability of the development of society and the economy. For this purpose, Jiangsu province in China is taken as the study area to explore the social vulnerability assessment at a city level. A framework has been constructed from three dimensions of demographics, economics, and social security. In our study, a new approach based on the maximizing deviation method and TODIM model is proposed to evaluate social vulnerability in Jiangsu province. For the sake of analysis, we divide 13 cities of Jiangsu province into three parts, namely the southern part, central part, and northern part, according to the geographical location. As a result, the north part performance of social vulnerability is the worst among the three regions. The average of the northern part has always obviously exceeded the others of Jiangsu province from 2012 to 2017, which indicates that the north part is the most vulnerable to natural hazards. In addition, the performance of the southern part is relatively better than that of the central region. Especially, Suqian has always been at the bottom from 2012 to 2017, which reveals the ability to withstand natural disasters is the most insufficient. Our findings also imply that social vulnerability is related to local economic development to some extent.

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Micro-level social vulnerability assessment towards climate change adaptation in semi-arid Ghana, West Africa

Environment Development and Sustainability ◽

10.1007/s10668-017-9988-7 ◽

2017 ◽

Vol 20 (5) ◽

pp. 2261-2279

Author(s):

Biola K. Badmos ◽

Ademola A. Adenle ◽

Sampson K. Agodzo ◽

Grace B. Villamor ◽

Daniel K. Asare-Kyei ◽

...

Keyword(s):

Climate Change ◽

West Africa ◽

Climate Change Adaptation ◽

Vulnerability Assessment ◽

Social Vulnerability ◽

Micro Level ◽

Semi Arid ◽

Social Vulnerability Assessment

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Index Assessment of Household Social Vulnerability to Climate Change: A Case Study of Laguna Province, Philippines

Journal of Environmental Science and Management ◽

10.47125/jesam/2021_1/07 ◽

2021 ◽

Vol 24 (1) ◽

pp. 68-76

Author(s):

Shota Kamiohkawa ◽

Atsushi Maruyama ◽

Inocencio Buot ◽

Merites Buot ◽

Keyword(s):

Climate Change ◽

Social Vulnerability ◽

Local Governments ◽

Vulnerability Index ◽

Probit Regression ◽

Social Vulnerability Index ◽

Personal Traits ◽

Vulnerability To Climate Change ◽

The Social ◽

Vulnerable Households

This study empirically investigated the social vulnerability of two municipalities of Laguna Province, Philippines, on the impacts of natural disasters associated with climate change. Data were obtained from interviews with seventeen experts and surveys for thirty-seven households conducted in the two municipalities. The results of the index analysis, using the weight average method and ordered probit regression, can be summarized as follows: First, the characteristics of low educational attainment, low labor rate and lack of economic resources were crucial in determining the social vulnerability class of households. Second, the social vulnerability index is determined by multiple factors, and therefore, it should not be assessed by a single variable. Third, the weights for components of the vulnerability index were insignificantly affected by geographical features and the speciality and personal traits of the experts. This suggests that local governments should develop an information system that identifies socially vulnerable households and that this should be utilized to provide the residents with education about climate change and strategies for households to reduce their potential risks from severe climatic events.

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