Social Indicators Research最新文献_第2页

Surnames in Local Newspapers and Social Mobility 地方报纸上的姓氏与社会流动性

IF 3.1 2区社会学

Social Indicators Research Pub Date : 2024-08-22 DOI: 10.1007/s11205-024-03415-7

Massimo Baldini, Andrea Barigazzi

引用次数: 0

Social Determinants of Life Expectancy at Birth in the City of Madrid: A Pre-pandemic Analysis 马德里市出生时预期寿命的社会决定因素：大流行前分析

IF 3.1 2区社会学

Social Indicators Research Pub Date : 2024-08-21 DOI: 10.1007/s11205-024-03419-3

David González Casas, Ana Dorado Barbé, José Luis Gálvez Nieto

{"title":"Social Determinants of Life Expectancy at Birth in the City of Madrid: A Pre-pandemic Analysis","authors":"David González Casas, Ana Dorado Barbé, José Luis Gálvez Nieto","doi":"10.1007/s11205-024-03419-3","DOIUrl":"https://doi.org/10.1007/s11205-024-03419-3","url":null,"abstract":"The purpose of this article was to analyze the relationship of socioeconomic and educational determinants on life expectancy at birth in the 21 districts of the city of Madrid in 2019. An ecological and cross-sectional study was conducted. The independent variables studied were economic situation, educational level and being a user of public social resources for family care in the city of Madrid. Mean comparison, correlation and multivariate linear regression analysis were performed with the aim of estimating the relationship between these variables and life expectancy at birth in the districts of Madrid. The results show evidence of how the social determinants analyzed by district obtained high levels of association and predictive capacity with respect to life expectancy at birth in Madrid. In this sense, the regression model was able to explain 80.2% of the variance of life expectancy at birth. The study shows that socioeconomic determinants are associated and linearly related to life expectancy in periods prior to the COVID-19 pandemic in the city of Madrid. These results indicate that health policy planning should address social determinants as a starting point to reduce health inequalities and, therefore, to achieve actions aimed at improving the health of all citizens.","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"14 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bases for the Construction of the Social Cohesion Index in the Indigenous Communities of Michoacán 构建米却肯州土著社区社会凝聚力指数的基础

IF 3.1 2区社会学

Social Indicators Research Pub Date : 2024-08-19 DOI: 10.1007/s11205-024-03407-7

Vicente González Hidalgo, Veronica Marlene Correa Flores, Mauricio González-Avilés, Viridiana Nativitas Montoya

引用次数: 0

The GDL Vulnerability Index (GVI) GDL 脆弱性指数 (GVI)

IF 3.1 2区社会学

Social Indicators Research Pub Date : 2024-08-17 DOI: 10.1007/s11205-024-03399-4

Jeroen Smits, Janine Huisman

{"title":"The GDL Vulnerability Index (GVI)","authors":"Jeroen Smits, Janine Huisman","doi":"10.1007/s11205-024-03399-4","DOIUrl":"https://doi.org/10.1007/s11205-024-03399-4","url":null,"abstract":"In this paper we present the GDL Vulnerability Index (GVI), a new composite index to monitor and analyse the human components of vulnerability to climate change, natural disasters, and other kinds of shocks, for societies and geographic areas across the globe. The GVI is a simple and flexible index designed for use by experts as well as non-experts in the climate field, including researchers, (local) politicians, NGO’s, journalists, advocacy groups and grassroot movements. The GVI is based on an additive formula that summarizes the essence of seven socioeconomic dimensions of vulnerability into a single number. This formula approach sets this index apart from other existing indices. Any person who knows the values of the underlying indicators can compute the vulnerability score of an area by filling in these values in the GVI formula. Validity tests show that the data-driven GVI measures the vulnerability dimensions coping capacity, adaptive capacity and susceptibility as well as major expert-based indices. This offers great prospects for use in situations where no other vulnerability information is available. Here we explain the construction of the GVI, test its validity and present GVI values for (almost) all countries of the world and for major global regions.","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"4 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Persistence of Overeducation Among Young Workers and Business Cycle 青年工人过度教育的持续性与商业周期

IF 3.1 2区社会学

Social Indicators Research Pub Date : 2024-08-12 DOI: 10.1007/s11205-024-03412-w

José M. Arranz, Carlos García-Serrano

引用次数: 0

An Untapped Instrument in the Fight Against Poverty: The Impacts of Financial Literacy on Poverty Worldwide 与贫困作斗争中尚未开发的工具：金融扫盲对全球贫困问题的影响

IF 3.1 2区社会学

Social Indicators Research Pub Date : 2024-08-07 DOI: 10.1007/s11205-024-03404-w

Ngoc Duc Lang, Ha Mai Tran, Giang Tra Nguyen, Duc Hong Vo

引用次数: 0

Pyramid-Shaped Indicators: Evaluating the Robustness of Scheme Comparisons Under Weight Uncertainty 金字塔形指标：评估权重不确定情况下计划比较的稳健性

IF 3.1 2区社会学

Social Indicators Research Pub Date : 2024-08-07 DOI: 10.1007/s11205-024-03400-0

Li-zhu Yue, Jia-wei Zhang, Yue Lv

{"title":"Pyramid-Shaped Indicators: Evaluating the Robustness of Scheme Comparisons Under Weight Uncertainty","authors":"Li-zhu Yue, Jia-wei Zhang, Yue Lv","doi":"10.1007/s11205-024-03400-0","DOIUrl":"https://doi.org/10.1007/s11205-024-03400-0","url":null,"abstract":"In the digital age, not only has the scope of indicator monitoring expanded but also the indicators themselves have become increasingly multilevel. Theoretically, the greater the number of levels, the more uncertainty there is in the indicators’ weights. This necessitates the evaluation of the robustness of scheme comparisons to reduce evaluation risks. By using partial order evaluation methods as analytical tools, this study aims to delineate the principles and methods of partial order representation for single-level indicators. Based on this delineation, it then aims to analyze the representation methods for multilevel indicators. The results reveal that for a two-level indicator system, it is only necessary to clarify the order of weights between the first- and second-level indicators. Through a partial order Hasse diagram, the schemes can be ranked and the robustness of the comparison can be analyzed. Furthermore, three- and four-level indicator systems can be decomposed into several two-level indicator systems to complete the partial order evaluation. A case analysis demonstrates that the partial order uncertainty analysis method can integrate decision-makers’ preferences. The Hasse diagram not only ranks the schemes but also achieves stratified clustering, which intuitively reflects the stability of the schemes.","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"77 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141935697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial, Temporal, and Explanatory Analyses of Urban Crime 城市犯罪的空间、时间和解释性分析

IF 3.1 2区社会学

Social Indicators Research Pub Date : 2024-08-05 DOI: 10.1007/s11205-024-03408-6

Daniela Cueva, Pablo Cabrera-Barona

引用次数: 0

Rare Disease and Quality of Life: Questionnaire and Indicators on Epidermolysis Bullosa in Italy 罕见疾病与生活质量：意大利表皮松解症调查问卷和指标

IF 3.1 2区社会学

Social Indicators Research Pub Date : 2024-08-04 DOI: 10.1007/s11205-024-03405-9

Paolo Mariani, Andrea Marletta, Mariangela Zenga

引用次数: 0

Construction of a Farm-Level Food Security Index: Case Study of Turkish Dairy Farms 构建农场一级的粮食安全指数：土耳其奶牛场案例研究

IF 3.1 2区社会学

Social Indicators Research Pub Date : 2024-08-02 DOI: 10.1007/s11205-024-03406-8

Gökçe Koç, Ayşe Uzmay

{"title":"Construction of a Farm-Level Food Security Index: Case Study of Turkish Dairy Farms","authors":"Gökçe Koç, Ayşe Uzmay","doi":"10.1007/s11205-024-03406-8","DOIUrl":"https://doi.org/10.1007/s11205-024-03406-8","url":null,"abstract":"Food security continues to be a global concern and its importance has recently increased for many reasons. Composite food security indices have been widely used to calculate and monitor food security, but farm-level studies are limited. Therefore, the main objective of this study is to construct a Farm-level Food Security Index (FFSI) for dairy farms to assess their contribution to food security, identify potential areas for improvement and guide policy makers. Data were collected from 126 farms in the Thrace Region of Turkey through face-to-face interviews. The FFSI was constructed with four dimensions, briefly called economic, quality, social and natural resources, containing twenty-three variables. Principal component analysis was used for the determination of variable weights, data envelopment analysis for calculating technical efficiency, and the Tobit model for examining the factors influencing FFSI scores. To assess the robustness of the FFSI, Monte Carlo simulations-based uncertainty and sensitivity analysis, dimension extraction approach and Shapley effects sensitivity analysis were performed. With an average score of 56.8, the key result of the FFSI is that dairy farms are using almost half of their potential to fully contribute to food security. Moreover, according to the Tobit model, FFSI scores are significantly affected by the farmer’s age and education level, credit use, livestock unit, fodder crop area and milk marketing channel. The FFSI is robust to weights and sensitive to normalisation, and the social sustainability dimension can cause the largest shift in index scores. Based on these findings, numerous agricultural policy proposals have been developed in this study by identifying the priority areas that need to be addressed to guarantee food security.","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"216 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141882171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0