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The understanding of the role of informal employment in economic growth is important to facilitate developing countries in safeguarding the decent work, productive employment, and inclusive growth agenda mentioned in Sustainable Development Goals (SDG) 8. The present study attempts to this end by investigating the role of informal employment on economic growth with an aim to assist in fulfilling target 8.3 of SDG. This study utilizes the data available for 20 developing countries for the period 2011–2019. Panel data analysis techniques have been applied, considering the percentage of total employment in the informal sector as the main explanatory variable of the models. The relevant macroeconomic indicators are included in the model as control variables. Empirical findings from Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Dynamic Fixed Effect (DFE) models indicate a positive effect of informal employment on the economic growth of developing countries. The other macroeconomic indicators, per capita income, national expenditure, money supply, and economic freedom, are also found to contribute to the economic growth of the selected countries. This study reveals an important bidirectional causal association between informal employment and economic growth, a unidirectional causal link from per capita income to informal employment and from informal employment to national expenditure. Taking into account the contribution of the informal sector to the economy, this study fosters the need for achieving the targets mentioned in SDG 8 by adopting appropriate policies rather than punishing this sector immediately. [ABSTRACT FROM AUTHOR]

The development of globalization and information technology has been promoting informal work rapidly. In this process, self-employment is gradually becoming an important employment approach. As two of the key variables, self-employment laborers' work autonomy and work conditions are largely discussed as the potential determinants of their work satisfaction. Which of these two factors is actually influencing labors' satisfaction level? So far, relevant studies are insufficient to respond to this question, especially in developing countries. This study investigates the influence of work autonomy and working conditions on self-employed workers' job satisfaction in China. China Labor-force Dynamics Survey data is used to examine the impact of self-employment on workers' job satisfaction and the influence mechanism of work autonomy and working conditions. Propensity score matching and instrumental variable methods were applied to avoid sample selection bias and endogeneity. We found that self-employment has a significant negative effect on job satisfaction; poor working conditions are responsible for self-employed workers' lower satisfaction level, and self-employment behavior impacts job satisfaction differently in terms of the type and gender of self-employed workers. Therefore, stronger social security and better working conditions for the self-employed should be provided.

This paper examines the relationship between different types of employment and subjective well-being with a focus on informal employment. The China Labor-force Dynamics Survey (CLDS) for three selected years (2012, 2014 and 2016) shows an upward trend in the subjective well-being of urban workers in the 2010s. However, although the gap in subjective well-being between formal and informal workers narrowed, informal workers' subjective well-being was still lower than their formal counterparts. Factors affecting the subjective well-being of formal and informal workers and their different effects were revealed to explain this difference. The subjective well-being of informal workers is significantly related to their informal status of employment, economic conditions (such as income and working hours), human capital, social capital (such as perceived social justice and perceived community connectedness) and urban environment. The paper enhances the understanding of people's subjective well-being by differentiating informal/formal segments of working populations.

The influence of informal employment on residents' happiness has gained wide attention around the world. However, few studies focus on this topic in China. Using the 2016 wave of the China Labor Force Dynamics Survey (CLDS) data, we examined the effect of informal employment and its mechanisms on residents' happiness in China. Our study shows there is a significant negative correlation between informal employment and residents' happiness in China. Moreover, the correlation between informal employment and residents' happiness is stronger for residents who are female, migrating, and with a rural household registration. In addition, we investigated possible mechanisms of the effect, including individual income, social respect, unemployment expectations, and social security, and found that informal employment reduces the happiness of residents by widening the gap in unemployment probability and social insurance level among residents.

The aim of this study is to estimate the association between employment conditions and mental health status in the working population of Iberoamerica. In this cross-sectional study, we pooled individual-level data from nationally representative surveys across 13 countries. A sample of 180,260 workers was analyzed. Informality was assessed by social security, health affiliation, or contract holding. Mental health was assessed using several instruments. We used Poisson regression models to estimate the contribution of informality to poor mental health by sex and country, adjusted by sociodemographic and work-related characteristics. Then, we performed a meta-analysis pooling of aggregate data using a random-effects inverse-variance model. Workers in informal employments showed a higher adjusted prevalence ratio (aPR) of poor mental health than those in formal employment in Peru (aPR men 1.5 [95% confidence intervals 1.16; 1.93]), Spain (aPR men 2.2 [1.01; 4.78]) and Mexico (aPR men 1.24 [1.04; 1.47]; women 1.39 [1.18; 1.64]). Overall estimates showed that workers in informal employment have a higher prevalence of poor mental health than formal workers, with it being 1.19 times higher (aPR 1.19 [1.02; 1.39]) among men, and 1.11 times higher prevalence among women (aPR 1.11 [1.00; 1.23]). Addressing informal employment could contribute to improving workers' mental health.

Amid globalization and market liberalization, urban informality has continued to grow in leaps and bounds in many parts of the world. Against this backdrop, the purpose of this paper is to provide a systematic review of studies conducted on urban economic informality at various geopolitical contexts to provide an update on the current state of knowledge in the urban informal economy-related research. A total number of 290 studies were sourced from various academic sources; however, a total number of 166 research papers satisfied the requirements of this review paper. The findings of this paper show that research on the urban informal economy has grown from 2000 to 2021, which is a 22-year period in which this review paper was based. The main themes of urban economic informality research depict it as a multifaceted system that is constituted by inputs, processes and outputs that have linkages with the formal economy. Based on these findings, it is recommended that more research should focus on how to integrate research on urban economic informality into the broader agenda of sustainable development. [ABSTRACT FROM AUTHOR]

There has been an ongoing interest in how important forests are for employment and what measures need to be taken to reduce decent work deficits. This study aims to contribute to the existing debate on the extent of informal and subsistence employment globally, with a particular focus on the forestry and logging sub-sector. Estimates on employment numbers not captured in the official statistics are aggregated with the recent official reported data to demonstrate a partial overview of global forest-based employment. The previous estimation method is extended by incorporating clustering techniques in response to the paucity of available labour productivity rates. Related employment and production data compiled by FAO are used as a basis of analyses. Main findings reveal that at least two-thirds of the entire forestry and logging-based employment is informal or subsistence. Estimates are highly concentrated in developing countries where decent forestry work need to be strengthened most. Aggregating official employment statistics and our additional estimates, the global forest-related workforce amounts to at least 64 million persons FTE in 2015. The study can be considered a step towards a more profound assessment approach in estimating informal and subsistence employment in the global forest sector based on the officially reported statistics. Disaggregated data based on employment status and gender is essential for improving the indirect estimation of the forest sector's informal economy and thus requires more attention by policymakers in the near future. [ABSTRACT FROM AUTHOR]

The prevalence of precarious employment has increased in recent decades and aspects such as employment insecurity and income inadequacy have intensified during the COVID-19 pandemic. The purpose of this systematic review was to identify, appraise, and synthesise existing evidence pertaining to implemented initiatives addressing precarious employment that have evaluated and reported health and well-being outcomes. We used the PRISMA framework to guide this review and identified 11 relevant initiatives through searches in PubMed, Scopus, Web of Science, and three sources of grey literature. We found very few evaluated interventions addressing precarious employment and its impact on the health and well-being of workers globally. Ten out of 11 initiatives were not purposefully designed to address precarious employment in general, nor specific dimensions of it. Seven out of 11 initiatives evaluated outcomes related to the occupational health and safety of precariously employed workers and six out of 11 evaluated worker health and well-being outcomes. Most initiatives showed the potential to improve the health of workers, although the evaluation component was often described with less detail than the initiative itself. Given the heterogeneity of the 11 initiatives regarding study design, sample size, implementation, evaluation, economic and political contexts, and target population, we found insufficient evidence to compare outcomes across types of initiatives, generalize findings, or make specific recommendations for the adoption of initiatives.

State legitimacy and effectiveness can be observed in the state's approach to delivering welfare to citizens, thus mitigating social grievances and avoiding conflicts. Social security systems in the Maghreb countries are relatively similar in their architecture and aim to provide social insurance to all the workers in the labor market. However, they suffer from the same main problem: a low rate of enrollment of workers. Many workers (employees and self-employed) work informally without any social security coverage. The issue of whether informal jobs are chosen voluntarily by workers or as a strategy of last resort is controversial. Many authors recognize that the informal sector is heterogeneous and assume that it is made up of (1) workers who voluntarily choose it, and (2) others who are pushed into it because of entry barriers to the formal sector. The former assumption tells us much about state legitimacy/attractiveness, and the latter is used to inform state effectiveness in delivering welfare. Using the Sahwa survey and discrete choice models, this article confirms the heterogeneity of the informal labor market in three Maghreb countries: Algeria, Morocco, and Tunisia. Furthermore, this article highlights the profiles of workers who voluntarily choose informality, an aspect that is missing from previous studies. Finally, this article proposes policy recommendations in order to extend social security to informal workers and to include them in the formal labor market. [ABSTRACT FROM AUTHOR]

Rapid urbanization has seen a concurrent growth of informal economies, which play an important role in alleviating urban unemployment and poverty. Following international efforts to integrate divergent theories on informality, this paper examines the causes of urban informal economies in China by deploying a panel data regression model that considers multiple explanatory factors informed by these theories. Our estimation based on the latest China Population Census shows that the size of urban informal employment in China reached 215 million and 22% of gross domestic product (GDP) output share was from urban informal economies. Our model reveals that the causes of urban informal economies in China are mainly associated with the stages of economic development, tertiarization of industries, unemployment, rural-to-urban migration, and globalization of urban economies. This paper adds evidence from the Chinese context to the emerging argument that informal economies cannot be fully explained by each mainstream informality theory, suggesting that these theories should be seen as complementary rather than opposing alternatives. The paper concludes with policy implications for urbanization in China. [ABSTRACT FROM AUTHOR]

The mental health status of informal employees is rarely studied in China. Nowadays, new economic forms such as gig economy and platform economy are emerging with the rapid development of information and communication technology, which has brought great changes to the labor market, especially to the informal employment field. Thus, it is of great significance to investigate the depressive symptoms among informal employees in the digital era. Based on the cross-sectional data of CFPS (China Family Panel Studies, 2018), this study takes a quantitative analysis framework to explore and analyze the association between informal employment and depressive symptoms in the Chinese labor market. After screening, a data set of 8893 employees (60.5% male and 39.5% female) was established. Several statistical methods, including the Mann-Whitney test and probit regression model, were used in the sample data analysis. The results show that the prevalence of depressive symptoms among informal employees is significantly higher than that among formal employees. Depressive symptoms are highly related to informal work and other factors, such as education, physical health, household income, etc. The impact of Internet use on informal employees' depressive symptoms is not significant. The mental health inequality between formal and informal employees still exists in the digital era, and corresponding labor market regulations and social policies should be perfected to address this issue.