Mehmet Güney Celbiş, Pui-Hang Wong, Karima Kourtit, Peter Nijkamp
{"title":"Job Satisfaction and the ‘Great Resignation’: An Exploratory Machine Learning Analysis","authors":"Mehmet Güney Celbiş, Pui-Hang Wong, Karima Kourtit, Peter Nijkamp","doi":"10.1007/s11205-023-03233-3","DOIUrl":"https://doi.org/10.1007/s11205-023-03233-3","url":null,"abstract":"Abstract Labor market dynamics is shaped by various social, psychological and economic drivers. Studies have suggested that job quit and labor market turnover are associated with job satisfaction. This study examines the determinants of job satisfaction using a large survey dataset, namely the LISS Work and Schooling module on an extensive sample of persons from the Netherlands. To handle these big data, machine learning models based on binary recursive partitioning algorithms are employed. Particularly, sequential and randomized tree-based techniques are used for prediction and clustering purposes. In order to interpret the results, the study calculates the sizes and directions of the effects of model features using computations based on the concept of Shapley value in cooperative game theory. The findings suggest that satisfaction with the social atmosphere among colleagues, wage satisfaction, and feeling of being appreciated are major determinants of job satisfaction.","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136023089","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}
Najada Firza, Laura Antonucci, Corrado Crocetta, Francesco Domenico d’Ovidio, Alfonso Monaco
{"title":"Spatial Analysis to Investigate the Relationship Between Tourism and Wellbeing in Italy","authors":"Najada Firza, Laura Antonucci, Corrado Crocetta, Francesco Domenico d’Ovidio, Alfonso Monaco","doi":"10.1007/s11205-023-03234-2","DOIUrl":"https://doi.org/10.1007/s11205-023-03234-2","url":null,"abstract":"Abstract The level and variety of services offered by tourist destinations are intricately linked to the overall health and condition of its area. We would like to investigate the existence of a possible connection between tourism and the social, economic, and environmental well-being of a territory. The tourism industry can improve the general well-being of a specific area by promoting consumption, reducing the income gap, and improving infrastructures. However, the well-being of the territory through enhancing the specific features of the local context and its factors of excellence can also influence tourism. In this context, we applied Machine Learning methods to investigate the relationship between tourism and well-being in Italy. The analysis used Italian BES indicators at the provincial level, referred to a time window of 17 years (2004–2020). We developed a Machine Learning algorithm based on a hybrid (unsupervised and supervised) approach to study 51 well-being indexes and 9 tourism indicators. We found a close connection (80% of accuracy) between tourism and well-being. We also selected a group of tourism indicators that have a strong effect on this connection. Using eXplainable Artificial Intelligence (XAI) methods, we detected that tourism in low season periods ranks first for importance followed by the spread of farms business and urban green areas density. Our research suggests that improved social, economic, environmental, and health well-being can positively spill over the effect on tourism arrivals and revenues in the long period.","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"161 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136067944","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}
{"title":"Bad Jobs on the Rise? Age, Period, and Cohort Effects on Low-Paid Work in Hong Kong, 1986–2016","authors":"Jing Lin, Long Hao","doi":"10.1007/s11205-023-03236-0","DOIUrl":"https://doi.org/10.1007/s11205-023-03236-0","url":null,"abstract":"","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"980 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136068536","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}
{"title":"Correction: A VEA Benefit-of-the-Doubt Model for the HDI","authors":"Panagiotis Ravanos, Giannis Karagiannis","doi":"10.1007/s11205-023-03220-8","DOIUrl":"https://doi.org/10.1007/s11205-023-03220-8","url":null,"abstract":"","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136262463","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}
{"title":"Survey-based Women Empowerment Index for Afghanistan (SWEI-A): An Explanatory and Confirmatory Factor Analyses","authors":"Omid Dadras, Mohammadsediq Hazratzai","doi":"10.1007/s11205-023-03241-3","DOIUrl":"https://doi.org/10.1007/s11205-023-03241-3","url":null,"abstract":"Abstract This study aimed to develop a country-specific index to measure women empowerment among married women aged 15–49 years in Afghanistan. The data from the 2015 Afghanistan demographic health survey (ADHS) was used to develop the index. The data on 26 variables across eight hypothesized domains related to women empowerment were used in EFA to probe the underlying domains in the data. CFA examined the structural validity of hypothesized factors in EFA. Four indicators were dropped during the analysis either due to the low and significantly different loading on one factor as compared to other indicators or due to overlap with other indicators loaded on different factors. The final model included 22 indicators across seven domains (labor force participation, attitude toward violence, decision-making, access to healthcare, literacy, age at critical life events, and property-owning) and had Cronbach’s alpha = 0.69; indicative of good internal reliability. The goodness-of-fit test represented an acceptable level of construct validity with the likelihood ratio, RMSEA, and SRMR values ≤ 0.05 and CFI and TLI > 0.95. The developed index shares a common ground for future research concerning women empowerment in Afghanistan and can enhance the comparability of the results across future studies. In addition, having a standard index for women empowerment at the individual and country level could help assess the progress and efforts that have been made to achieve gender equality (SDG 5), and guide the direction of future policies and interventions.","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"58 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135168775","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}
Plamen Akaliyski, Naoko Taniguchi, Joonha Park, Stefan Gehrig, Raül Tormos
{"title":"Values in Crisis: Societal Value Change under Existential Insecurity","authors":"Plamen Akaliyski, Naoko Taniguchi, Joonha Park, Stefan Gehrig, Raül Tormos","doi":"10.1007/s11205-023-03226-2","DOIUrl":"https://doi.org/10.1007/s11205-023-03226-2","url":null,"abstract":"Abstract The COVID-19 pandemic has had a profound impact on societies, with possible consequences for their fundamental values. Inglehart’s revised modernization theory links societal values to the underlying subjective sense of existential security in a given society (scarcity hypothesis), while also claiming that influences on values diminish once individuals reach adulthood (socialization hypothesis). An acute existential crisis such as the COVID-19 pandemic offers a rare opportunity to test these assumptions. We analyze data from representative surveys conducted in Japan shortly before and after the onset of the pandemic. Remaining survey sample differences are statistically controlled via propensity score weighting and regression adjustment, while post-stratification weights allow conclusions about the Japanese population. In three sets of analyses, we reveal that the pandemic and the experienced psychological distress are negatively associated with emancipative and secular values, entailing a reversal to traditionalism, intolerance, and religiosity. First, we document a substantial decline in both emancipative and secular values in the first months of the pandemic compared to five months earlier. This decline remained stable a year later. Second, we find that value change was stronger in prefectures more severely affected by the pandemic. Third, individuals who experienced higher psychological distress emphasized the same values more strongly, as evident in two surveys from May 2020 and April 2021. In contrast to the socialization hypothesis, our study provides evidence that, under extraordinary environmental conditions, values can shift even within a negligibly short time period.","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135617588","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}
{"title":"Quality of Life, Well-Being and the Human Development Index: A Media Narrative for the Developed World?","authors":"Stephen Morse","doi":"10.1007/s11205-023-03230-6","DOIUrl":"https://doi.org/10.1007/s11205-023-03230-6","url":null,"abstract":"Abstract The Human Development Index (HDI) produced by the United Nations Development Programme (UNDP) has been in existence since 1990. In its annual Human Development Reports (HDRs) the UNDP provides rankings of countries based on the HDI, and the idea is that these will help bring about positive change as countries compare their performance in the rankings with what they see as their peers. The HDRs are widely reported in the media, and previous research has suggested that the extent of newspaper reporting of the HDI (i.e. number of articles) is greater for those countries at the bottom and top end of the rankings. However, there are gaps in knowledge about how the HDI is reported in these media outlets. For example, to what extent does newspaper reporting of the HDI equate it to terms such as ‘quality of life’ and ‘well-being’, and how does this relate to the ranking of countries based on the HDI? This is the question addressed by the research reported in this paper. Results suggest that newspaper do often associate the terms ‘quality of life and ‘well-being’ with the HDI, and that the association appears to be stronger for countries towards the top-end of the rankings (i.e. those that have more ‘human development’) compared to those at the bottom-end of the rankings. This suggests that the association between reporting of the HDI and ‘quality of life’ and ‘well-being’ is a narrative that is perceived by the media to suit the developed rather than developing world.","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135617762","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}
Zhiming Cheng, Wei Guo, Marco Pecoraro, Didier Ruedin, Massimiliano Tani
{"title":"Correction to: Migrants’ Skills Wastage in the Labor Market: A Multidisciplinary Approach for Policy Formation","authors":"Zhiming Cheng, Wei Guo, Marco Pecoraro, Didier Ruedin, Massimiliano Tani","doi":"10.1007/s11205-023-03219-1","DOIUrl":"https://doi.org/10.1007/s11205-023-03219-1","url":null,"abstract":"","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135888119","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}
{"title":"Developing a Scale of Ethical Responsibility (SER): A Multi-Dimensional Instrument for Fintech Professionals","authors":"Rizqa Anita, Weishen Wu, Muhammad Rasyid Abdillah","doi":"10.1007/s11205-023-03231-5","DOIUrl":"https://doi.org/10.1007/s11205-023-03231-5","url":null,"abstract":"","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135885229","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}
{"title":"An Investigation of Models for Under-Reporting in the Analysis of Violence Against Women in Italy","authors":"Silvia Polettini, Serena Arima, Sara Martino","doi":"10.1007/s11205-023-03225-3","DOIUrl":"https://doi.org/10.1007/s11205-023-03225-3","url":null,"abstract":"Abstract Violence against women is still one of the most widespread and persistent violations of human rights. Despite this, a significant gap of comprehensive, reliable and up-to-date figures on such a largely uncovered phenomenon remains. To develop efficient and effective policy and legal responses to gender-based violence, accurate data are necessary. Surveys specifically designed to quantify the number of victims of gender violence return prevalence estimates at a given time, and assess the under-detection of violence and its drivers. However, the last Italian Women’s Safety Survey was conducted by ISTAT in 2014. Given the substantial under-reporting affecting official counts of violence reports to the police, and the lack of recent survey data, up-to-date prevalence estimates cannot be produced. Designing ad hoc techniques suitable to pool data arising from different sources, first of all official police reports, and accounting for the under-reporting, is crucial to understand and measure violence against women to return a realistic picture of this greatly underrated phenomenon and assess its scope. We use publicly available registry data on violence reports in 2020 as a primary source to provide improved estimates of gender violence in the Italian regions, by introducing a Bayesian model that supplements the observed counts with a pool of auxiliary information, including socio-demographic indicators, data on calls from 1522 helpline number and prevalence estimates from previous surveys, while explicitly modelling the reporting process using covariates and external information. We propose using statistical models for the analysis of misreported data to improve the understanding of the problem from a methodological point of view and to get insights into the complex dynamics of the phenomenon in Italy.","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136079461","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}