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India experiences enormous informalisation of employment which has become a global phenomenon in recent times. The quality of work, conditions of work and social security protection are important concerns in the growing informal sector. One of the sustainable development goals (SDGs) deals with ‘decent work’ for all. It is also reported that the inequalities and disparities in work participation and wage payment are high in the informal employment than the formal. Under this context, this study examined the status of informal employment in India by analysing different categories of informal employment, labour force participation rate (LFPR) and wage payments in detail. The aim of the study is to highlight the gender gap in these indicators of employment. The findings of the study show that there is an increase in the LFPR in both the usual and current weekly status (CWS) statuses in the course of all the periodical labour force surveys (PLFSs). The gender gap was prevalent not merely in the rural areas, but in the urban areas as well. The informal sector constitutes the highest share of employment in India, with self-employed individuals contributing the most. Half the workforce is not eligible for paid leave and other social security benefits, and wage disparities exist between rural and urban regions. This difference is found among both female and male wage workers in both the rural and urban regions. Female employees are much more vulnerable as there is a gender gap and a regional gap in wages paid to the regular employees.

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.

The prevalence of high levels of vulnerable employment in developing countries poses a formidable obstacle to their progress towards achieving SDG 8. While worker remittances (remittances) are widely recognised as a potential source of improving the welfare of people experiencing poverty, their effectiveness in alleviating vulnerable employment from a macro perspective remains unclear. Consequently, the study examines the impact of remittances on reducing vulnerable employment.

The study uses macro-level data from 73 developing countries covering 1990–2021. Vulnerable employment is measured in three forms: total, male, and female. Remittances are measured as a percentage of the gross domestic product. The findings are empirically analysed using dynamic panel data estimation techniques. A two-stage least squares (IV 2SLS) approach addresses remittance endogeneity.

Two key findings emerge from the study. First, increased remittances are associated with a decline in the total share of workers resorting to vulnerable employment, albeit a modest decline. Second, the remittance surge is associated with more males than females leaving vulnerable employment, indicating its gender-specific effects. These findings remain robust to several checks.

The study's findings underscore the potential of leveraging remittances to reduce vulnerable employment. To this end, selective and targeted policy interventions that promote financial literacy and inclusion, which serve as the cornerstones for effectively utilising remittances, are advised.

To the best of my knowledge, this study is the first to examine the impact of remittances on vulnerable employment on a macro scale. As such, the study makes a novel contribution to understanding how remittances serve as an enabler for SDG 8.

The reality with many developing countries is that the countries have failed to create enough jobs for the poor and vulnerable. Under such circumstances, vulnerable employment plays a critical role in providing earning opportunities to people who are unemployed and determining the economic and social progress of such economies. The study aims to examine the possible non-linear relationship between vulnerable employment and growth in light of this background.

The study employed five-yearly averaged data of 73 developing countries for the period 2000–2019. The empirical analysis is performed using the dynamic panel data analysis and the two-step system generalised method of moments (GMM) approach. The estimations are run separately for male, female and total vulnerable employment. The threshold levels are obtained using Sasabuchi (1980) and Lind and Mehlum (2010) (SLM) test. Several sensitivity checks are performed to validate the results.

The findings of the study suggest a non-linear U-shaped relationship between vulnerable employment and growth. Thus, a positive association between vulnerable employment and growth is witnessed at higher levels of vulnerable employment. At lower levels, the relationship is negative. Threshold levels for male, female and total vulnerable employment are 46.80%, 49.29 and 50.94%, respectively. Therefore, vulnerable employment beyond the threshold levels is found to be positively associated with growth.

Countries below the threshold level of vulnerable employment should understand why these workers are not able to contribute to the growth despite working so hard. If any socio-economic barriers hinder their contribution towards growth, such barriers require greater policy attention. Countries with vulnerable employment levels above the threshold level should recognise the contributions of these workers towards the growth and actively support them in increasing their economic contribution. In either case, given the precarious circumstances under which these workers work and the pittance earnings, policy interventions aimed at ensuring decent working conditions and better earnings for these workers are encouraged.

The current study is the first one to examine the relationship between vulnerable employment and growth to the best of the author's knowledge. As such, it makes novel contributions to the literature on development policy.

This chapter examines how more women in the workforce can contribute towards making businesses more resilient. The overall objective of the study is to assess how women's employment influences various factors related to resilience and that in turn drives business activities. The methodology used is qualitative in nature using thematic analysis as a tool. Some quantitative data have been assessed in order to understand how companies survived the pandemic and to examine the trends in female labour force participation. This chapter also builds on observational research methodology in places to arrive at certain key inferences. The analysis examines top performing firms and sectors that survived the pandemic, key characteristics of business resilience and characteristics of women's labour and their role in building business resilience. A conceptual framework has been developed to discuss how female labour force participation can contribute to different sectors in order to build resilient businesses.

The global non-attainment of the Sustainable Development Goal (SDG) 5 indicates the issue of rising gender inequality. Educated women shying away from the labor force is worsening it. The labor market dynamics might shape the female labor force participation (FLFP). The present study recommends a policy framework by analyzing this dynamism across 125 countries over 1990–2020.

The Two-step System Generalized Method of Moments is used to address endogeneity bias. Dynamism in policy environment is captured by relaxing the Ceteris Paribus condition in the empirical model.

Results show that the moderation of labor market factors has increased with the attainment of Secondary and Tertiary Education. Results also highlight that these factors promote FLFP through prospective opportunities but also hinder female participation through employer’s discrimination despite educational attainment.

Studies have examined the role of education on FLFP. However, prior research has not investigated the role of labor market factors in influencing the impact of education on FLFP. The consideration of these factors will help in addressing the global policy lacuna by recommending a policy framework for enhancing FLFP through internalization of the externalities exerted by the labor market factors, and thereby, help the countries attaining the SDG 5 objectives.

This study aims to examine how the starting of business by females can be promoted by assessing critical levels of microfinance institutions (MFIs) penetration that policymakers must endeavor to maintain and/or attain in order for female unemployment not to represent a constraint in the doing of business. A constraint in doing business is understood in terms of the procedure that a woman has to go through to start a business.

The focus of the study is on 44 countries in Sub-Saharan Africa for the period 2004–2018, while the empirical evidence is based on interactive quantile regressions.

The following findings are established. The validity of tested hypotheses is exclusively apparent in the lowest and highest quantiles of the conditional distribution of the procedure women have to go through to start a business. MFI penetration levels needed to reverse the unfavorable incidence of female unemployment in doing business are provided. These are minimum MFIs penetration thresholds that are required in order for female unemployment not to negatively affect the procedure that a woman should go through to start a business.

The study complements the extant literature by assessing critical microfinance penetration levels that are needed to promote female doing of business, contingent on existing levels of female doing of business.

Women’s direct or subtle exclusion from the labour market is still evident, necessitating more rigorous inquiries into the subject matter. The study aims to assess the moderating factors that can boost the inclusion of women participation in the labour market by complementing and actualising the doctrine of the feminist U-shaped hypothesis.

This study is situated within the feminist U-shaped hypothesis and employs the generalised method of moments (GMM) on 38 countries in sub-Saharan Africa (SSA).

This study validates the U-shaped labour hypothesis and expands on the moderating effects of the U-shaped curve in 38 SSA countries.

The study contributes to the influences of human capital development and technological access that can significantly improve the workings of the feminist U- hypothesis in SSA countries.

This study examines the relevance of information and communication technologies in the effect of gender economic inclusion on environmental sustainability.

The focus is on a panel of 42 sub-Saharan African countries over the period 2005–2020. The empirical evidence is based on generalized method of moments. The environmental sustainability indicator used is CO2 emissions per capita. Three indicators of women’s economic inclusion are considered: female labour force participation, female employment and female unemployment. The chosen ICT indicators are mobile phone penetration, Internet penetration and fixed broadband subscriptions.

The results show that: (1) fixed broadband subscriptions represent the most relevant ICT moderator of gender economic inclusion for an effect on CO2 emissions; (2) negative net effects are apparent for the most part with fixed broadband subscriptions (3) both positive ICT thresholds (i.e., critical levels for complementary policies) and negative ICT thresholds (i.e., minimum ICT levels for negative net effects) are provided; (4) ICT synergy effects are apparent for female unemployment, but not for female employment. In general, the joint effect of ICTs or their synergies and economic inclusion should be a concern for policymakers in order to better ensure sustainable development. Moreover, the relevant ICT policy thresholds and mobile phone threshold for complementary policy are essential in promoting a green economy.

The study complements the extant literature by assessing linkages between information technology, gender economic inclusion and environmental sustainability.