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Non-farm employment has transitioned from a residual to a dominant livelihood option in rural India. Despite the sector’s diverse welfare implications, it is still a male-dominant sector with limited scope for female’s participation. Several socio-economic and cultural factors are responsible for such disparities in occupational choices. The purpose of this study is to examine this gender dimension of occupational diversification for rural India and focuses on the role of education, caste and land ownership in explaining employment probabilities across gender.

This study uses secondary data on employment and unemployment from the National Sample Survey Office (NSSO) for rural India and pooled the data for three periods that include 61st (2004–2005), 66th (2009–2010) and 68th (2011–2012) round comprising a total of 235,722 individuals. The study applies a multinomial logit regression model.

The results show that education facilitates females to diversify to sectors like manufacturing, mining and construction while educated males are more likely to diversify to services. However, the likelihood of diversification by educated females is low for those belonging to land-owning households. On the contrary, land ownership facilitates educated males to join sectors like mining and quarrying and services. It is also found that females belonging to Scheduled Tribe/Scheduled Caste (ST/SC) households diversify to low return activities like manufacturing and construction while males are more likely to join services.

This study has contributed to the literature on employment diversification by considering not only the gender aspect of diversification but also examining how education, caste and land would explain occupational choices between males and females. It is evident from the findings that education can be a liberating factor for females to participate actively in sectors outside agriculture but the status quo associated with land ownership in rural India declines their possibility of economic participation compared to males. Even educated females are confined to manufacturing and construction in the absence of proper non-farm employment opportunities for them.

Despite the growing research interest in gender diversity, the presence of female executives and organizational outcomes, the relationship between female executives and employment relations outcomes remains under-researched. This study aims to examine the potential relationship between female executives and employment relations outcomes, with the gender gap as a focus.

A cross-sectional survey was used to collect data from 2,682 workers from 119 manufacturing firms in Guangdong Province, southern China.

Results show that firms with female executives are more likely to comply with labor laws and promote staff development. The association between female executives and promotion opportunities is stronger for female employees than for male employees. However, there is no significant association between female executives and employee salaries.

This research contributes to employment relations literature and extends the application of social role theory to studies of employment relations in particular societal contexts. This study also provides possible boundary conditions for the existence of queen bee behavior by using data from Chinese factories.

In recent years, the topic of women's entrepreneurship has gained increasing attention from researchers and policymakers. Its role in economic growth and development has been widely recognized in several studies. However, the relationship between gender in entrepreneurship and innovation is an underexplored aspect in particular at a country-level perspective. This paper aims to answer the following question: Does female entrepreneurship impact innovation at a national level?

Using a panel dataset of 35 Organization for Economic Co-operation and Development (OECD) member countries over the period 2002–2019, the authors carried out a comprehensive econometric analysis, based on the fixed-effect model, the random-effect model and the feasible generalized least squares estimator, as well as a battery of tests to prevent problems of multicollinearity, heteroscedasticity and autocorrelation of the error terms. In doing so, the authors found consistent and robust results on the linear and nonlinear relationship between women's entrepreneurship and innovation, using selected country indicators from the Global Entrepreneurship Monitor (GEM) consortium, the Worldwide Governance Indicators (WGI) and the World Development Indicators (WDI), including female self-employment, female nascent entrepreneurship and R&D investment and controlling for the same relationships in the case of men's entrepreneurship.

This study shows that the level of R&D investment, which according to the literature can be considered as a proxy of innovation, is higher when the level of women's entrepreneurship is low. However, exploring more in depth this relationship and the relationship between male entrepreneurship and innovation, the authors found two important and new results. The first one involves the different impact on R&D investment of female self-employment and female nascent entrepreneurship. In particular, female self-employment appears to have a linear negative impact on the R&D, while the impact of female nascent entrepreneurship is statistically nonsignificant. The second one affects the nonlinearity of the negative effect, suggesting that very different challenges are possible at different levels of women's entrepreneurship. In addition, analyzing the role of human capital in the relationship between R&D investment and women entrepreneurship, it emerges that higher education (as the main component of human capital) makes early-stage women's entrepreneurship more technologically consuming, which promotes R&D investment. A higher level of education lessens the significance of the negative relationship between the simplest type of women entrepreneurship (female self-employment) and R&D investment.

The originality of the study is that it provides new evidence regarding the link between women's entrepreneurship and innovation at the macro level, with a specific focus on self-employed women entrepreneurs and early-stage women entrepreneurship. In this sense, to the best of the authors' knowledge, this study is among the few showing a nonlinear relationship between women's entrepreneurship and country-level innovation and a negative impact only in the case of female self-employment. Moreover, this study has relevant implications from a policymaking perspective, in terms of promoting more productive women's entrepreneurship.

A lack of sufficient gainful employment opportunities in developing countries means that those at the bottom of the income ladder resort to self-employment for survival. While self-employment equalises inequality by providing earning opportunities to such individuals due to the ease of entry, it also creates a competitive environment among the self-employed, consequently widening inequality. In light of this, the study aims to determine the optimal level at which self-employment narrows inequality.

Five-yearly average data from 72 developing countries covering 2000–2019 is used. Inequality measures include Gini, and self-employment includes total, male and female participation levels. The empirical analysis is based on the dynamic two-step system Generalized Method of Moments (GMM) estimation approach, two-stage instrumental variables (2 SLS IV) approach and Sasabuchi (1980) and Lind and Mehlum (2010) test. Several robustness checks are used to validate the findings.

Prima facie, the study's findings suggest that self-employment equalises inequality in developing countries. The income-equalising effect can be seen, however, when the total, male and female self-employment levels are below the optimal of 54.22% of total employment, 52.50% of male employment and 54.19% of female employment, respectively. Inequality widens when self-employment exceeds these optimal levels. Further, the income-narrowing effect of self-employment is larger than its income-widening effect. When self-employment is below its optimal level, it reduces inequality 80 times more effectively than when it widens above the optimal levels. The corresponding figures for male and female self-employment are 90 and 52, respectively. Second, the income-equalising effects of self-employment are gender-specific.

Developing countries striving to achieve SDG 10 should limit self-employment to the above-mentioned levels. To this end, an inclusive approach to reducing inequality requires these countries to use selective and targeted policy interventions to create gainful employment opportunities for those above the identified optimal levels and eventually assist them in utilising these opportunities.

To the best of the author’s knowledge, this is the first study to determine the optimal levels at which self-employment equalises income in developing countries. As such, it makes novel contributions to both labour and development economics.

This paper explores how gender-related issues are communicated in Korean family-run conglomerates (chaebols) and the roles of women within these businesses. It also addresses to what extent the communication of chaebols about female employment and career development reflects the perception of gender representation in these organisations.

By paying attention to gendered discourse in Korean chaebols, this paper examines what is said and written about gender issues in glottographic statements (texts) and non-glottographic statements (charts and other visuals) of annual reports (ARs) published by five chaebols since 2010. The paper uses a Foucauldian framework to develop the archive of statements made within these ARs.

Although there is an increase in female-employee ratios, ARs show that number of women at the board or senior management level continue to be small. ARs tend to provide numbers related to female employment and retention in their non-glottographic statements, yet these numbers occasionally differ from and frequently are not explained by glottographic statements. The strategies used by chaebols to improve career prospects for their female staff are only vaguely described and rarely evaluated.

This paper looks beyond the existing discourse analysis on “talk and text” by also investigating claims made through graphic and linear/pictorial elements and their interplay with text. This approach opens new understandings of how gendered discourses are constructed and how they (unintentionally) fail to resolve issues and perceptions related to female employment and career development in Korea.

The purpose of the study is to assess if a policy of female inclusive education should be complemented with a policy of female ownership of bank accounts to fight female unemployment. The study therefore examines how female ownership of bank accounts moderates the incidence of female education on female unemployment.

The focus is on 44 sub-Saharan African (SSA) countries for the period 2004–2018 and the empirical evidence is based on interactive quantile regressions. The interactions are tailored such that female ownership of bank accounts influences the effect of female inclusive education on female unemployment.

From the empirical findings it is evident that female ownership of bank accounts does not effectively moderate female education in order to reduce female unemployment unless complementary policies are considered. The complementary policies should be in view of boosting the interaction between female education and female bank account ownership in increasing employment opportunities for the female gender and by extension, reducing female unemployment. The invalidity of the moderating effect is robust to the inclusion of more elements in the conditioning information set as well as accounting for other dimensions of endogeneity such as simultaneity and the unobserved heterogeneity. Policy implications are discussed.

This study contributes to the extant literature by assessing how female ownership of bank accounts complements female inclusive education to reduce female unemployment.

This study aims to investigate whether the increasing robot adoption will affect employment rate and wages to contribute to the economic cycle and sustainable development in the world.

The authors introduce a two-way fixed effect model and ordinary least-squares (OLS) model to evaluate the influence based on relevant data of the eighteen countries with the largest robot stocks and robot densities in the world from 2006 to 2019 to test the influences and do the robustness test and endogeneity test by using empirical models.

The authors’ research findings suggest that increasing robot adoption can cause strong negative impacts on employment for both males and females in these economies. Second, the effect of robots on reducing job opportunities has penetrated different industries. It means that this negative impact of robots is comprehensive for the industry. Third, robot adoption can have a strong positive influence on wages and increase workers' incomes.

The limitations of the study are that the influence of industrial intelligence technologies on the circular economy is diversities in different countries. Thus, this study should consider the development levels of different economies to do additional confirmatory studies.

This study makes out the correlations between industrial robots and the employment market from the circular economy perspective. The result proves the existence of this influence relationship, and the authors propose some suggestions to promote sustainable economic development.

This paper addresses the activity of industrial intelligence technologies in the labor market. The employment market is an important part of the circular economy, and it will benefit social development if the government provides appropriate guidance for social investment and industrial layout.

This study is one of the few studies which considered the impact of industrial robots on employment and wages from the perspective of different industries, and this is very important for the circular economy in the world. The results of this paper provide an instructive reference for government policymakers and other countries to stabilize the labor market and optimize human resources for sustainable economic development.

This study aims to answer if inter-state migrants in India play a more active role than their intra-state counterparts in labor force participation and entrepreneurship.

A recursive bivariate probit model is used with an instrumental variable (IV) of the total of inter-state migrants in a city over their historical numbers to tackle the endogeneity issue of the migration decision of the migrants.

Inter-state migrants did a better job than their intra-state counterparts in labor force participation and female inter-state migrants did a better job than their counterparts in wage employment and being day laborers.

The data are from IPUMS and there is no updated nationwide data regrading migration and employment for recent years.

A randomized controlled trail can be carried out near the borders of two states where there are both significant amounts of inter-state and intra-state migrants.

The government and international organizations shall focus on cultivating the skills of the female migrants as well as encouraging the entrepreneurship of both types of migrants.

The study focus is on the comparison between intra- and inter-state migrants based on nationwide survey data and the usage of recursive bivariate model and an effective Instrumental Variable.

The study aims to examine the patterns of time allocated to paid employment activities by women in India as well as change in time allocating pattern of women over the period 1998 to 2019. In doing so, it attempts to highlight gender-asymmetry of time use and heterogeneity in time use of women residing in urban and rural areas as well as variations in time use by marital status, motherhood and age.

Using unit-level data from two available Time Use Surveys (TUS) namely the Pilot Survey TUS 1998 and first nationally representative TUS 2019, the authors use Tobit model to estimate determinants of women’s time in employment. To explain the change in time spent on paid work by women over the two decades, the authors use counterfactual quantile regression decomposition.

The gender asymmetry in time allocation is stark, with women spending one fifth time compared to men paid employment activities. Over the two decades of interest, women’s time spent on employment activities in a day has reduced by half from around 4 h to 2 h, largely driven by rural women’s time. Regression results suggest the emergence of a “U-shaped” relationship between time spent on paid work and education of women. The counterfactual decomposition results suggest that women are spending lesser time on employment activities in 2019 than in 1998 across the time distribution.

This paper contributes to a novel understanding of time use by women in a developing country by analysing the changes in time use over two decades as well as distributional sensitivity to observed characteristics. The study informs about the intensive margins of female employment by incorporating dynamics of socio-economic development.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2022-0164.

The purpose of this study is to report empirical research on gender managerial obstacles in UAE private organizations. It identifies the barriers that limit opportunities for gender equality promotion in managerial level positions.

Primary data were gathered from 384 female managers operating in UAE organizations using Survey Monkey and ANOVA for statistical analysis. Two variables (years of experience and industry) were used to compare the average means across the responses and the differences among the group.

The situation of gender equality in UAE management currently shows a positive trend. The females who participated in the survey have considerable work experience and jobs in a vital economic sector of the UAE industry. The earlier cultural stereotypes that worked against the interests of women in the UAE society are no longer relevant except for informal barriers and the level of cooperation among female leaders. We found differences among industry, service and transportation sectors in which gender managerial level in a private industry is dependent upon the number of years of experience for female managers.

The limitation of the study is the online survey was affected by the COVID-19 pandemic during the lockdown period in the spring of 2020, which led to a low number of participants responding to the questionnaire. Additionally, the survey did not include a nationality question to distinguish Emiratis from non-Emirati.

This study indicates a need to coordinate UAE female leaders' actions to protect their rights, develop formal and informal mechanisms of gender inequality realization in business and promote professional skills, orientation on social networks, and mentoring programs for female leaders. These initiatives improve the positions of female leaders.

The study of the UAE case adds to the existing literature on gender studies because the survey-based research in the UAE context contributes to the limited knowledge of Middle Eastern countries. The females’ employment and their representation in managerial levels remain lower compared to males. Differences exist among the industry, service and transportation sectors.