scholarly journals Assessing the Impact of Extreme Temperature Conditions on Social Vulnerability

2021 ◽  
Vol 13 (15) ◽  
pp. 8510
Author(s):  
Ibolya Török ◽  
Adina-Eliza Croitoru ◽  
Titus-Cristian Man
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Social Vulnerability ◽  
Extreme Temperature ◽  
Principal Component ◽  
Vulnerability Index ◽  
Point Of View ◽  
Social Vulnerability Index ◽  
Economic Point ◽  
The Impact

This research aims to improve the existing methodology by quantifying the effects of climate change on social vulnerability by developing a set of vulnerability indicators. It delimits for the first time in Romania the most vulnerable areas from this point of view and facilitates the decision-making processes and planning efforts targeting the increase of resilience and adaptive capacity of local communities. We selected 35 variables and constructed four aggregated indexes by applying the principal component analysis, and then the Climate-Related Social Vulnerability index (CleSoVI) index was derived. It pointed out that the most significant impact on the vulnerability of settlements in the test region (Cluj County) can be attributed to the lack of adaptive capacity and increased poverty. The most vulnerable areas are located in the northern and south-eastern parts of the county. From a socio-economic point of view, local authorities’ efforts should reduce the vulnerability of these regions and prepare them to cope with and adapt to the impact of climate change.

scholarly journals A new approach to assess the impact of extreme temperature conditions on social vulnerability

2021 ◽  
Author(s):  
Ibolya Török ◽  
Adina-Eliza Croitoru ◽  
Titus-Cristian Man
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Social Vulnerability ◽  
Extreme Temperature ◽  
Principal Component ◽  
Vulnerability Index ◽  
Point Of View ◽  
Social Vulnerability Index ◽  
Economic Point ◽  
The Impact

Abstract. The objective of this research is to develop a set of vulnerability indicators and to analyze the effect of climate factors on social vulnerability. While the main aim of the study is to improve the existing methodology by quantifying the effects of climate change on social vulnerability, it also represents a novel scientific contribution in the field, as it delimits for the first time in the Romanian literature the most vulnerable areas from this point of view. This study aims to facilitate the decision-making processes and planning efforts targeting the increase of resilience and adaptive capacity of local communities. By applying the principal component analysis, we have selected 45 variables and have constructed four aggregated indexes. The Climate-Related Social Vulnerability index (CleSoVI) has pointed out that the largest impact on the current vulnerability of settlements in the test region (Cluj County) can be attributed to the lack of adaptive capacity and increased poverty, the most vulnerable areas being represented by the eastern and north-western parts of the county. From a socio-economic point of view, local authorities' efforts should concentrate on reducing the vulnerability of these regions and preparing them to cope with- and adapt to the impact of climate change.

scholarly journals ASSESSMENT OF SOCIAL VULNERABILITY TO THE IMPACT OF FLOOD HAZARD: A CASE STUDY OF KOPILI RIVER BASIN, ASSAM, INDIA

2018 ◽  
Vol XLII-5 ◽  
pp. 455-460
Author(s):  
S. V. Shiva Prasad Sharma ◽  
P. S. Roy ◽  
V. Chakravarthi
Keyword(s):  
Social Vulnerability ◽  
Flood Hazard ◽  
Vulnerability Index ◽  
Social Vulnerability Index ◽  
The Social ◽  
Vulnerability Indicators ◽  
Multi Temporal ◽  
The Impact ◽  
Vulnerable Zones

<p><strong>Abstract.</strong> In the present study, an attempt is made to understand the impact on Social Vulnerability of the Kopili basin due to various severities of flood hazard. The flood hazard is generated using multi-temporal historical satellite based analysis and integration of annual flood inundation layers. The census of India data of 2001 and 2011 is spatially joined with village database to study the impact at village level. Using 5 Census variables from both Census 2001 &amp;amp; 2011 as vulnerability indicators, the Social Vulnerability Index (SVI) is derived and classified into various vulnerable zones namely Low, Moderate and High Vulnerable zones. The findings of the study show that the number of villages falling in Low and High Vulnerable zones had decreased during Census 2011 when compared to 2001 and a rise of 6% in villages falling in moderate vulnerable zones during 2011 is observed. The spatial database generated is useful to understand the impact of floods on the Social Vulnerability status of the basin and can be a useful input to further study the Physical, Economic and Environmental Vulnerabilities of the basin.</p>

A vulnerability index for climate related risks in Sweden

2021 ◽  
Author(s):  
Jan Haas ◽  
Konstantinos Karagiorgos ◽  
Lars Nyberg ◽  
Andreas Pettersson
Keyword(s):  
Social Vulnerability ◽  
Social Inequalities ◽  
National Level ◽  
Principal Component ◽  
Vulnerability Index ◽  
Socioeconomic Vulnerability ◽  
Climate Risks ◽  
Spatial Level ◽  
Socio Economic Variables ◽  
The Impact

&lt;p&gt;Social vulnerability is mostly described as specific social inequalities in the context of a disaster. Following this understanding, empirical research focuses on the unequal exposure of different groups to disasters and/or on the unequal capacities of groups to anticipate, cope and recover from the impact of a hazard. Although social vulnerability has recently gained attention in academia, Sweden lacks frameworks and indicators to assess it at a national level.&lt;/p&gt;&lt;p&gt;Following the large amount of publicly available data in Sweden, to address this gap, we present a method for quantifying social vulnerability to climate risks in Swedish municipalities. A large number of variables were collected and analyzed to create quantitative indicators that purport to measure a municipality&amp;#8217;s vulnerability. Using Principal Component Analysis (PCA), the information in the variables was reduced to a smaller number of components and socioeconomic vulnerability scores for each Swedish municipality. The factor analysis resulted in five components explaining more than 75% of the total variance. The resulting components and the final index are mapped for each municipality.&lt;/p&gt;&lt;p&gt;The results show that socio-economic vulnerability is not evenly distributed across Sweden. Apart from those findings the fact that some municipal clusters are much more vulnerable than others, the developed method is a useful tool for comparing socio-economic conditions among municipalities and for identifying susceptible municipalities which are likely to face significant challenges in coping with future natural hazard events.&lt;/p&gt;&lt;p&gt;Preliminary results show similar trends of social vulnerability to natural hazards at a highly resolved spatial level of aggregation as comparted to municipal levels. As studies on social vulnerability are often data-driven and thus performed on larger administrative aggregations, the sub-set of socio-economic variables from Statistics Sweden used in this study was found useful in our approach. In order to explore social vulnerability in conjunction with coastal and fluvial flood scenarios, an interactive web map was created with ArcGIS Dashboards.&lt;/p&gt;

The Measurement of Employee Welfare and Its Effects on the Output Level

2021 ◽  
pp. 352-368
Author(s):  
Esra Karapınar Kocağ
Keyword(s):  
Principal Component ◽  
Point Of View ◽  
National Product ◽  
Valuable Insight ◽  
Economic Point ◽  
Employee Welfare ◽  
Per Capita ◽  
The Impact ◽  
Insight Into ◽  
Multidimensional Concept

Welfare, in general, refers to both economic and social prosperity of individuals. From an economic point of view, individuals are very important actors of the labour market in the production process. This chapter focuses on employees and attempts to offer a valuable insight into the concept of welfare, its measurement, and its potential impact on the national product. Measuring welfare is not straightforward due to its multidimensional concept. The purpose of this chapter is to provide a way of measurement of employee welfare through an index that combines selected welfare components of employees. In the process of building that index, principal component analysis (PCA) was applied. Preserving variability and reducing dimensionality, this method is a very functional tool to represent multidimensional variables such as welfare in this case. Eurostat data for the period of 2008-2018 were utilized to explain the impact of employee welfare on the GDP per capita for 32 European countries. Findings revealed that employee welfare is a significant indicator of the national product.

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

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.

scholarly journals Study of Integrated Social Vulnerability Index SoVIint of Hilly Region of Uttarakhand, India

2020 ◽  
Vol 24 (1) ◽  
pp. 105-122 ◽  
Author(s):  
Dilip Kumar ◽  
Rajib Kumar Bhattacharjya
Keyword(s):  
Forest Fires ◽  
Social Vulnerability ◽  
Large Scale ◽  
Social Economic ◽  
Flash Flood ◽  
Vulnerability Index ◽  
Social Vulnerability Index ◽  
Vulnerability Factor ◽  
Hilly Region ◽  
The Impact

AbstractThe hilly regions of India have suffered many disasters, both natural and anthropogenic. In the hilly state like Uttarakhand, the hazards like flash flood, forest fires, and landslide affect the community at the large scale. These hazards cause severe physical injuries, loss of life, and at large scale property damage. To understand the impact of such natural hazards, we need to examine vulnerability of the society, so that we can define vulnerability as the status of a community to prevent, mitigate, prepare for or respond to a natural and a man-made hazard. The absence of coping strategies, which is also known as resilience, has altered the vulnerability of a community. Thus, vulnerability index of a community has to be calculated considering physical, social, economic and environmental factors associated with the community. This research paper tries to find out an integrated social vulnerability factor. The proposed integrated social vulnerability factor is determined by considering various factors, such as physical, social, economic, and environmental. All these factors increase the susceptibility of a community to the impact of hazards. Poverty, occupation, child population, literacy rate, disability, marginalization, and inequities in wealth distribution of a society or community will also change the social vulnerability. Proposed Integrated social vulnerability index for the hilly terrain of Uttarakhand incorporated local technical knowledge insight and skills, so that local people and local administration are able to identify problems and can offer a solution to resist future emergencies i.e. the proposed social vulnerability indicator will support state, local, and traditional disaster management officials to determine areas of the most sensitive populations and better mitigation operation can be performed in case of disaster.

Places where wildfire potential and social vulnerability coincide in the coterminous United States

2016 ◽  
Vol 25 (8) ◽  
pp. 896 ◽  
Author(s):  
Gabriel Wigtil ◽  
Roger B. Hammer ◽  
Jeffrey D. Kline ◽  
Miranda H. Mockrin ◽  
Susan I. Stewart ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Social Factors ◽  
Social Vulnerability ◽  
Principal Component ◽  
Vulnerability Index ◽  
Social Vulnerability Index ◽  
Upper Midwest ◽  
Recovery Planning ◽  
Place Vulnerability ◽  
Hazards Of Place

The hazards-of-place model posits that vulnerability to environmental hazards depends on both biophysical and social factors. Biophysical factors determine where wildfire potential is elevated, whereas social factors determine where and how people are affected by wildfire. We evaluated place vulnerability to wildfire hazards in the coterminous US. We developed a social vulnerability index using principal component analysis and evaluated it against existing measures of wildfire potential and wildland–urban interface designations. We created maps showing the coincidence of social vulnerability and wildfire potential to identify places according to their vulnerability to wildfire. We found that places with high wildfire potential have, on average, lower social vulnerability than other places, but nearly 10% of all housing in places with high wildfire potential also exhibits high social vulnerability. We summarised our data by states to evaluate trends at a subnational level. Although some regions, such as the South-east, had more housing in places with high wildfire vulnerability, other regions, such as the upper Midwest, exhibited higher rates of vulnerability than expected. Our results can help to inform wildfire prevention, mitigation and recovery planning, as well as reduce wildfire hazards affecting vulnerable places and populations.

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