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The study finds the determinants of women empowerment measured in terms of domestic decision-making in a developing economy perspective by considering rural women in India. Women empowerment simply means giving opportunities to women to enable them to be socially and financially independent. Empowerment of women through investment in their education and health has a positive effect on economic growth. Almost 70% of Indian population lives in rural areas. If women in these areas are educated and empowered, they can contribute to the economic growth either directly or indirectly by improving health and education of the future generations. This study indicates that an employed woman, having her own income source, higher educational level, knowledge of legal rights, higher educational level of the mother of the woman, having property in her own name, more freedom of movement during her school days, having high self-esteem and belonging to a relatively affluent background, increases domestic making power of the women, and thus empowerment. Some possible policies are suggested for developing economies.

Leadership is the ability to influence, guide and encourage employees to achieve organizational goals. Leadership has a significant role in organizations’ success or failure. Thus, this paper aims to develop a model to elucidate leadership practices in the Iranian health-care organizations (HCOs).

Qualitative approach was used in this study due to its explorative nature. Semi-structured interviews were conducted with 32 key managers and 30 professionals working at different HCOs. Inductive analysis was carried out using the grounded theory approach to develop an initial leadership model for HCOs. The proposed model subsequently was verified by an experts’ panel.

The proposed leadership model emerged from the Iranian HCOs encompasses six main categories: leader, followers, high-ups and peers, context, processes and outcomes. Leader, followers and contexts as main categories did also have further sub-categories.

Study findings are cautiously transferrable as it reflects the Iranian context. While the model was verified, it might still benefit from more and diverse views.

This model can be used by health-care policymakers and managers for improving managers’ leadership competencies and practices and enhancing health outcomes through motivating and mobilizing health-care resources toward achieving organizational goals.

This study aims to give an answer for “what is the current status of leadership in Iranian HCOs?” and “how can we reinforce the strengths and address the weaknesses?”

This article aims to examine the role of capital assets in rural household poverty transitions of poverty escape and poverty descent over periods of 2014–2016 and 2016–2018.

Based on the sustainable livelihood approach, this paper uses binary logit model to explore the influence of multidimensional capital assets on poverty transitions and use instrumental variable estimation to solve the endogeneity between total net asset and poverty transitions.

Capital assets have significant impacts on household poverty transitions. The role of capital assets in households' poverty escape and poverty descent are not symmetrical. The authors verify that rural households with rich total net asset are more likely to escape poverty and less likely to descend into poverty by using instrumental variable estimation. The authors verify that there is a mediation effect that total net asset can help households' escaping poverty and prevent them from falling into poverty through promoting rural households to engage in business activities.

This paper is the first to explore how capital assets affect poverty transitions in rural China based on the sustainable livelihood approach. The findings of this research can provide valuable policy implications for the pursuit of common prosperity in China and references for other developing countries.

The purpose of this paper is to point to the inefficiency of the Italian educational system as a key factor of persistent differences between the distribution of incomes (skewed) and that of talents (normal), stated in the Pigou paradox. In fact, against the intention assigned to it by the Italian constitution, the educational system is designed in such a way to reinforce, rather than weaken, the current unequal distribution of incomes.

The authors study the socio‐educational background of AlmaLaurea graduates by way of correlation and regression analysis. The AlmaLaurea databank is the most important source of statistical information of its type in the country. The authors, consider several indicators of performance, such as the probability of getting a degree, the final grade achieved and the length of studies.

Parents’ educational level appears to be the main determinant of the grade achieved at secondary high school and at the university. The effect of family background on children's success at the university is not direct, but through the high school track. In fact, although any secondary high school gives access to the university, nonetheless lyceums provide students with far higher quality of education than technical and professional schools. Parental background affects also the length of studies, which suggests that the indirect cost of tertiary education is much higher for those with a poorer educational background and limited means.

Increasing the average educational level was one of the promises of the “3+2” university reform implemented in 2001. This objective has been achieved only in part, due to the continuing high indirect cost of tertiary education, which particularly affects individuals with limited means. More coordination in the interpretation and implementation of the aims of the reform would have prevented the main actors of the reform from failing it. School tracking should be reformed so as to allow more consideration for low school grades in the choice of parents and provide more on‐the‐job training to students in the professional/technical schools.

The paper proposes an interpretation of the Pigou paradox in Italy, based on the inefficiency of the university system, due to the peculiar school tracking and the ensuing high indirect cost of education. On this, the paper provides new circumstantial evidence based on the AlmaLaurea database almost ten years after the “3+2” reform.

Wages have been spreading out across workers over time – or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the United States, we show that the distributions of both wages and productivity have spread out over time, as the right tail lengthens for both. We add Organization for Economic Co-Operation and Development (OECD) countries, showing that the wage–productivity correlation exists, such that gains in aggregate productivity, or GDP per person, have resulted in higher wages for workers at the top and bottom of the wage distribution. However, across countries, those workers in the upper-income ranks have seen their wages rise the most over time. The most likely international factor explaining these wage increases is the skill-biased technological change of the digital revolution. The new artificial intelligence (AI) revolution that has just begun seems to be having similar skill-biased effects on wages. But this current AI, called “supervised learning,” is relatively similar to past technological change. The AI of the distant future will be “unsupervised learning,” and it could eventually have an effect on the jobs of the most highly skilled.

The purpose of this paper was to examine the robustness of the findings on educational advantage among sexual minority men.

Using nationally representative data (AddHealth) and controlling for other predictors of academic attainment, we examine the educational attainment of sexual minority males by using hierarchical regression and logistical regression for two measures of sexual identity.

We find robust differences in educational attainment across analyses and sexual orientation constructs. Our results show sexual minority identity predicts up to a year more of education for male respondents and consistently reporting male homosexuals have an even greater advantage, more than one and a half years, compared to inconsistent responders.

Our results extend previous research on educational outcomes for nonheterosexual adolescents, suggesting there are sustained differences in long-term educational outcomes for nonheterosexual adults and supporting earlier analyses of the AddHealth survey data. This study contributes to the existing literature by examining educational attainment as measured by continuous years and cut-points, using two measures of sexual orientation, providing estimates for all Wave 4 sexual minority identities (i.e., not collapsing any sexual minority category), and controlling for adolescent school geography and type. Moreover, we find early identification of sexual orientation and stability of sexual orientation may be an important source of variation in identifying LGBTQ adolescents who are at greater academic risk or who may benefit from increased social support.

The monograph argues that American racism has two colours (white and black), not one; and that each racism dresses itself not in one clothing, but in four: (1) “Minimal” negative, when one race considers another race inferior to itself in degree, but not in nature; (2) “Maximal” negative, when one race regards another as inherently inferior; (3) “Minimal” positive, when one race elevates another race to a superior status in degree, but not in nature; and (4) “Maximal” positive, when one race believes that the other race is genetically superior. The monograph maintains that the needs of capitalism created black slavery; that black slavery produced white racism as a justification for black slavery; and that black racism is a backlash of white racism. The monograph concludes that the abolition of black slavery and the civil rights movement destroyed the social and political ground for white and black racism, while the modern development of capitalism is demolishing their economic and intellectual ground.

This paper introduces a new quinquennial dataset of educational inequality disaggregated by age group for 146 countries, from 1950 to 2010, by using the Gini index of education as a measure of the distribution of years of schooling. Based on recent estimates of average years of schooling from Barro and Lee (2010), our calculations take into consideration, for the first time, the changes over time in the duration of educational stages, in each country and for each age group. The downward trends in educational inequality observed during the last decades depend on age group, gender, and development level.

Means, medians and SD for available socio‐economic status (SES) black‐white differences are here substituted for those of IQ in a between‐groups model published by the author over a decade ago. The goodness of fit of the SES variables used is compared with that for the earlier IQ data. Even when SES variables are relatively successful this can be viewed as additional evidence of the importance of IQ differences to black‐white differences in delinquency.

This study investigates how working-age Asian immigrants' educational attainment and professional abilities when arriving in the United States have evolved over the past 4 decades and draws inferences on the impact of the US employment based visa policies.

Using data from the 1980, 1990 and 2000 census and American Community Survey for 2001 to 2019, the study adopts multivariate regression and regression discontinuity design to investigate the trends in educational and occupation selection among Asian immigrants and the association with policy changes in the H1B visa program.

The findings suggest that new Asian immigrants were more positively selected for education than non-Asian immigrants and US natives and this pattern of positive selection increased over time. Newly arrived South Asian and East Asian immigrants had the highest share of highly educated professionals than Southeast Asians and US-born persons. I infer that the enactment and changes in the H1-B program might have contributed to the changing patterns of the educational and occupational selection among East and South Asian Immigrants. The results also shed light on how Asian immigrants' skill selection might be related to the size of Asian diasporas in the US and sending countries' income, inequality and education level.

The story of changing the skill profile (educational and occupational profile) of newly arrived Asian immigrants during 1980–2019 can provide valuable policy implications. US immigration policies are routinely criticized for being inefficient and outdated. The economic prosperity of Asian countries over time also provides an excellent opportunity to test the theories pertaining to how sending countries' income, inequality and education level of the population are associated with Asian migrants' education and occupation when arriving in the US. This study can provide insightful perspectives for policymakers and business decision-makers to adapt to the changing demographics of Asian migrant workers. The most recent reports on Asian immigrants in the US highlighted the aggregated trends of migration flow and education. Still, none have provided a longitudinal and nuanced review of Asian immigrants' educational and occupational selection into the US.