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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.

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.

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.

With self-employment providing earning opportunities to many working poor in developing countries, the study examines its role in alleviating poverty.

A five-year average of 56 developing countries from 1995–2019 is used. The empirical analysis is based on the dynamic two-step system GMM approach. While poverty is measured in terms of incidence, depth and severity; self-employment is used in three forms – total, male and female.

In line with the theoretical prediction, evidence suggests that self-employment in developing countries reduces poverty, albeit smaller magnitude. However, the poverty-reducing effects of self-employment differed based on poverty measure and threshold. The poverty-reducing effects are more prominent in poverty severity than incidence and intensity, and the magnitude of the impact is largest when poverty is measured at $1.90 a day as against $3.20 and $5.50 a day. Finally, the poverty-reducing effects of female self-employment are lower than their counterparts.

First, poverty-mitigating strategies in developing countries are advised to recognise self-employment as an essential tool to alleviate poverty. Consequently, alongside supporting the existing self-employed, policy focus should be on creating more and better self-employment opportunities for the poor. Second, rather than using generic measures to mitigate poverty, interventions specific to poverty measures and thresholds might ensure the maximum impact of such interventions. Third, gender-specific rather than gender-neutral labour market policies in addressing poverty are advised.

To the best of the author’s knowledge, this is the first study to examine the empirical relationship between self-employment and poverty. As such, it makes novel contributions to both labour and development economics.

The study aims to examine the non-linear relationship between self-employment and economic growth (growth) in the context of developing countries.

Data from a sample of 83 developing countries covering a period 2002–2015 is used. The empirical analysis is based on the dynamic panel data estimation, and the results are estimated using the two-step system GMM technique. Non-linearity between self-employment and growth is validated using Sasabuchi (1980) and Lind and Mehlum (2010) (SLM) test.

The empirical analysis suggests a non-linear and a U-shaped relationship between self-employment and growth, confirmed by the SLM test. The threshold levels for total self-employment, female self-employment and male self-employment are 57.49%, 58.86 and 55.81%. The findings are also robust to alternate estimation technique and alternate measure of the dependent variable.

Policy implications of the findings include the need for policies that foster and channel self-employment properly as the higher level of self-employment is found to benefit growth.

This study is the first attempt to examine the empirical relationship between self-employment and growth. As such, it makes a novel contribution to the extant literature on the relationship between the two variables.