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The purpose of this study is to investigate whether ethnic discrimination is present in the Russian labor market and whether it has a significant economic effect on the potential salaries of applicants.

Data were collected using a correspondence audit for four experimental male applicants with identical professional and personal characteristics while differing only in applicant name as a signal of applicants' ethnic background. Implied ethnicities include Russians, Armenians, Jews and North Caucasians. Résumés were sent out to 800 real unique vacancies on behalf of the experimental applicants with a geographic focus on the capital Moscow.

The results of the analysis suggest that there is a significant difference in treatment in both response rate and potential average salaries on ethnic grounds. Disadvantaged groups were found to be systematically pushed into jobs paying 15% less monthly wage.

The study investigates the existence of ethnic discrimination in the Russian labor market and furthermore economically quantifies the effects of discrimination.

In this paper I investigate the nature of the differential in poverty by ethnicity in rural China using data from the Chinese Household Income Project in 2002. For that, I compare observed poverty with that in a counterfactual distribution in which ethnic minorities are given a set of relevant village and household characteristics of the Han majority. In particular, I investigate the importance of the location of minorities in explaining their higher poverty levels. The ethnic poverty differential does not change after equalizing the distribution of the population by geographical region (unless we use a higher poverty line). However, it is reduced after equalizing other locational characteristics of minorities (such as them living in less developed and mountainous areas), their larger number of children, their low education, and their fewer skilled non-agriculture workers. Finally, the ethnic per capita (log) income differential is shown to be higher for higher percentiles, with an increasing role of the geographical region as the main driver of these higher differentials.

The purpose of the current study is to analyze the influence that is caused by ethnicity and volunteer self-employment in entrepreneurship on the initial financing and business performance of Chinese enterprises. The increasing trend of entrepreneurship has raised certain ethnic challenges in entrepreneurship owing to globalization and now there are several minority groups that are running their households in China. So, the current study aims to assess whether the minority-operated and majority-operated firms have different access to initial financing and different business performance.

The data are collected from 25 Chinese enterprises about the current variables, and the relationships are tested. This study has used the ordinary least of square (OLS) regression model to examine the findings.

The purposive sampling is used in the current study because the purpose of the present research is to understand and study the role of ethnicity and self-employment in initial financing and business performance of Chinese enterprises and so the data was collected from related enterprises. This study has used the ordinary least of square (OLS) regression model to examine the findings.

The current findings have significant implications in theory and practice. This study will be a great addition to the literature because the self-employment has never been examined before in such models to assess the role of forceful or volunteer self-employment in entrepreneurship, and so, it will open new doors of research for future researchers.

This paper aims to study long-term savings accumulation in the UK. The authors use cross-sectional information from the extensive data set of the Family Resources Survey to compare long-term saving amongst different ethnic groups with the control group, the native population. The paper reflects on whether different groups are more likely to suffer poverty in retirement.

In this analysis, the authors apply the life-cycle framework to explain saving profiles. This theoretical model has been used extensively in the field of economics and can be applied to empirical studies to examine changes in income and saving patterns over the life-course. The framework contends that individuals make savings decisions to smooth consumption over different phases of their life-cycle.

The findings indicate that socio-economic factors are key elements in determining whether individuals plan for retirement if factors are controlled for the differences in saving behaviours between ethnic minorities and the control population decrease considerably. Asian women, with good education and social standing, display greater saving rates than the control group, while the socio-economic disadvantage suffered especially by Pakistani and Bangladeshi women is key to their inability to save long-term. High levels of poverty in retirement are more likely to be caused by the interaction of low levels of education, part-time work and long spells of unemployment than by ethnicity.

The important contribution to the debate on savings by ethnic minorities is the extension of the life-cycle model to specific sections of the population and to proffer new insights into their saving/dis-saving patterns and ultimately their welfare in retirement.

This study explores whether ethnic minorities exhibit varying levels of income inequality compared to the host population.

The research leverages a unique immigration event in Italy, specifically the settlement of multiple Albanian groups in southern Italy during the 16th century. This historical occurrence enables an investigation into the role of cultural traits in income inequality, as these groups are situated in the same geographical region and often share borders.

The results, which remain consistent after undergoing various robustness checks, indicate that Albanian villages, while still preserving their identity and tradition, tend to experience an approximately 2% lower level of income concentration compared to similar Italian municipalities.

Our findings aim to provide supporting evidence for future policy considerations regarding the long-term impact of immigration on income inequality.

This article deals with the impact of ethnic origin on individual employability, focussing on the first stage of the hiring process. Deeply, the authors’ goal is to fathom whether there is a preference for native job candidates over immigrants, decomposing the discrimination against minority groups into its statistical and taste-based components by means of a new approach.

The authors built up a data set by means of an ad hoc field experiment, conducted by sending equivalent fictitious CVs in response to 1000 real online job openings in Italy. The authors developed the discrimination decomposition index using first- and second-generation immigrants.

The authors’ main result is that both first- and second-generation immigrants are discriminated compared to Italians. In between the two categories, second-generation candidates are discriminated especially if their ethnicities are morphologically different from those of natives (i.e. Chinese and Moroccans). This last finding is a clear symptom of discrimination connected to taste-based reasons. On the other hand, first-generation immigrants of all nationalities but Germans are preferred for hard-work jobs.

The authors develop the discrimination decomposition index to measure the proportion of the two kinds of discrimination (statistical and taste-based) over the total one and apply a probit model to test the statistical significance of the difference in treatment between the three groups of natives, first-generation and second-generation immigrants.

Labor force transitions are empirically examined using Current Population Survey (CPS) data matched across months from 1996 to 2012 for Hispanics, African-Americans, and whites. Transition probabilities are contrasted prior to the Great Recession and afterward. Estimates indicate that minorities are more likely to be fired as business cycle conditions worsen. Estimates also show that minorities are usually more likely to be hired when business cycle conditions are weak. During the Great Recession, the odds of losing a job increased for minorities although cyclical sensitivity of the transition declined. Odds of becoming re-employed declined dramatically for blacks, by 2–4%, while the probability was unchanged for Hispanics.

The purpose of this paper is to examine associations between: family support during the school-age period, and school-age bullying (short-term associations); and family support during the school-age period and workplace bullying (long-term associations) for lesbian, gay and bisexual (LGB) adults in Britain.

The authors employ retrospective questions regarding family support for LGB children and school-age bullying and questions regarding workplace bullying in the respondents’ present jobs. A 2016 data set was utilized which was created by attending events during the UK LGBT History Month.

The empirical investigation demonstrates that supportive family environments toward LGB children reduce both school-age and workplace bullying.

Given the increasing number of people self-identifying as LGB, the significant percentages of school and workplace bullying incidents and the corresponding negative effects on people’s lives, it is important to examine the benefits of family support with regards to reducing school and workplace victimization. This study also reports that family support could have an enduring influence on the experiences of LGB children and adults.

No known research has considered the possible developmental benefits of family support on reducing future workplace bullying for LGB children. In addition, this might be the first study which simultaneously examines family support toward LGB children, school-age and workplace bullying.

The purpose of this paper is to provide empirical patterns regarding trans people’s self-esteem-oriented evaluations during observations of positive workplace actions. The case of a 2015 UK workplace guide is utilized to fulfil the aims. The guide provides suggestions to employers for recruiting and retaining trans people.

A new questionnaire is created which forms a 20-item scale capturing a variety of self-evaluations. Trans people provided their responses in a 2018–2019 survey and the study’s patterns were captured.

The outcomes suggest that trans people’s self-esteem and self-respect are enhanced by policy makers’ positive actions to promote inclusivity in the workplace. In addition, due to these actions trans people feel more accepted, valued and trusted by the government. The authors suggest that a lack of positive workplace actions may be detrimental to trans people’s self-esteem. However, if a workplace policy is perceived to be a recognition of trans people’s worth this may be internalized, resulting in positive self-evaluations. The authors suggest that the 2015 workplace guide aims to ensure that trans people’s self-expressions are not constrained in ways that could cause them self-esteem difficulties.

The study also finds that firms which have implemented the workplace guide have informed human resources strategies, affected corporate profiles and staff organizational behaviours, created a more inclusive workplace culture, and addressed LGBT business and trans staff members’ needs. The authors suggest that when employers utilize policy makers’ positive workplace policies they may be able to realize positive organizational outcomes in their firms.

The World Health Organization perceives self-esteem as a public matter and this study suggests that inclusive workplace strategies can positively affect the psychological states of a highly marginalized population group.

To the best of the authors’ knowledge this is the first attempt to quantify how a workplace guide impacts on self-esteem-oriented evaluations among trans people. Each one of the 20 items in the scale brings new insights into the subject matter.

In the context of social sustainability, characterization of sustainable development embroils a process of growth not only without social disruption but also without the involvement of any severe risk of environmental collapse of the ecosystem. Economic, social, and environmental aspects in an interactive setup determine the different dimensions of sustainability. In this backdrop, this chapter focuses on the dimensions of social sustainability of the development process – particularly with an eye on the determining factors of social tension resulting in social disruption which in turn become noticeable through violent forms of different types of crime – homicides (murder), property-related crimes (dacoity, robbery, burglary, and theft), and riots. Although the occurrences of such crimes in an indicator of weakness in the law and order of the state, one needs to evaluate the significant role played by various types of deprivation and discrimination. This study attempts to find out the role played by economic deprivation for the incidence of such crimes in the presence of infrastructural and socioeconomic developmental factors. This analysis is performed in the context of India using generalized method of moments (GMM) structure with panel data of 16 major Indian states from 2005 to 2016.