The impact of poor adult health on labor supply in the Russian Federation

The impact of health on labour outcomes among middle-aged and elderly: Insights from India

The impact of ill-health on labour force participation is a well-recognized concern in both developed and developing countries. However, previous studies have often overlooked age differentials in this relationship, assuming uniform effects across age groups. This study aims to fill this gap by examining how ill-health affects labour outcomes among different age segments in India. Utilizing data from the Longitudinal Ageing Study in India (LASI) Wave 1, which covers over 72,000 individuals aged 45 and above, this research investigates the linkage between health and labour force outcomes. The labour outcomes in this study includes labour force participation, labour earnings and hours worked. Present study used instrumental variable approach to mitigate endogeneity issues and establish causal relationships between health and labour outcomes. The Heckman selection model is utilized to address selection bias in analysing wage and hours worked. The study reveals several key findings. Firstly, ill-health consistently leads to a decline in labour force participation among both middle-aged (28 percent) and elderly (36 percent) individuals in India. This underscores the pervasive impact of health on workforce engagement, particularly in a context with limited social security measures. Secondly, the research identifies significant variations in the effects of ill-health on wages and hours worked based on age. Among elderly individuals, there is a pronounced reduction in both wages and hours worked due to ill-health. However, this effect is less pronounced among middle-aged adults. Furthermore, socioeconomic factors play a pivotal role in shaping how ill-health influences labour outcomes among different age groups. This study underscores the importance of considering age differentials in the impact of ill-health on labour outcomes, offering valuable insights for policymakers, practitioners, and researchers seeking to address this critical issue in India's dynamic socio-economic landscape.

The impact of environmental pollution on labor supply: empirical evidence from China

The current study focuses on determining mediating effect using the fixed and instrumental variable models to understand how PM_2.5 affects labor supply. To approach study objectives, a 20-year dataset (from 2000 to 2019) of 287 Chinese prefecture-level cities were collected. To deal with potential endogeneity, the ventilation coefficient was used as an instrumental variable to identify the reverse causality between PM_2.5 and labor supply. Results depicted that the PM_2.5 pollution significantly and negatively impacts the labor supply. It was found that PM_2.5 indirectly reduced labor forces because of pollution-induced health losses. Moreover, when the pollution level was above 30 μg/m³, the PM_2.5 significantly reduced the labor supply. The result suggests that China's local and national governments should enact stringent policy measures to reduce air pollution.

Household Health and Cropland Abandonment in Rural China: Theoretical Mechanism and Empirical Evidence

Prior studies have fully explored the impacts of rural labor migration on land use forms. In contrast to prior studies, this study focuses on the health status of rural households and its quantitative impacts on cropland abandonment (CA). More specifically, under the guidance of the theoretical mechanism of "household health affects CA by labor supply", this study employs survey data from 8031 households collected in 27 Chinese provinces in 2014 to explore the quantitative impacts of household health on CA. The results are as follows. (1) The higher the level of household health is, the less CA there is. (2) Compared with males, the impact of female health status on CA is more obvious. Thus, the relationship between household health and CA matters, not only because it may help to theoretically enhance the understanding of the importance of health in peasant households, but also because it may help to practically provide references for effective policies of CA from the perspective of rural medical services.

The effects of chronic non-communicable diseases on labour force outcomes: Quasi experimental evidence from Sri Lanka

We investigate the effects of experiencing non-communicable diseases (NCDs) on labour force outcomes of working-age individuals and their households in Sri Lanka. For this, quasi-experimental evidence, including average treatment effects on those treated (ATT), are generated by using the self-reported health survey of the labour force of Sri Lanka. According to the analysis, individuals with at least one NCD account for approximately 19.15% of the working-age population. On average, employment probability, labour supply, and labour earnings of them are significantly lower than those of non-NCD individuals by 9.5% (ATT=-0.102, P < 0.001), 44.6% (ATT=-0.590, P < 0.001), and 47.9% (ATT=-0.652, P < 0.001), respectively. The negative impacts on labour force outcomes are notably larger in the cases of paralysis and mental illness. These NCDs reduce individual labour supply by more than 80% and labour earnings by more than 90%. The employment probability of individuals with paralysis and mental illnesses is also relatively lower by more than 60%. Apart from these individual-level effects, the paper provides evidence on how labour force outcomes at the household level are influenced by NCDs. Our findings demonstrate that the association between individuals' NCD-prevalence and labour force outcomes is relatively stronger for males, informal sector employees, and elderly people. The results suggest several social inclusion policies.