Non-Communicable Diseases Impact Low-Income Households in Malaysia.

Background: Non-communicable diseases (NCDs) have a vast and rising impact on households at all income levels across the globe, particularly with poorer people bearing the burden. Hence, this study examines NCDs' effects on Malaysia's B40 group (low-income earners). Methods: This study used the 2015 National Health and Morbidity Survey, a population-based cross-sectional survey with 18,616 respondents from B40 households in Malaysia. Logistic regression analysis is used to assess NCDs' influence on poverty. Results: In 2015, more than 20% of the B40 households lived below the poverty level. In addition, the B40 households had a greater prevalence of NCDs, with almost half of them diagnosed with at least one NCD (47.32%); hypertension (9.90%), diabetes mellitus (17.12%) and hypercholesterolemia (22.89%). Households with a member having an NCD are more likely to experience poverty than those without NCDs. The results also suggested that B40 households with catastrophic payments were at a 25% threshold; the elderly, individuals without formal education and unpaid workers were more likely to experience poverty. Conclusion: The findings suggest that NCDs increase the likelihood of B40 households falling into poverty. These facts highlight the necessity of safeguarding B40 households from the financial burden of NCDs by creating more effective financial protection plans for Malaysia's low-income earners.

Social determinants of stunting in Malay children aged <5 years in Malaysia.

OBJECTIVE: This study aims to assess social determinants of stunting among children aged <5 y within the Malay ethnicity in Malaysia. METHODS: This study used data from the National Health and Morbidity Survey 2016: Maternal and Child Health. It includes a sample of 10 686 children, ages 0 to 59 mo, of Malay ethnicity. Height-for-age z score was determined based on the World Health Organization Anthro software. A binary logistic regression model was used to examine the association between the selected social determinants and the occurrence of stunting. RESULTS: About 22.5% of children aged <5 y of Malay ethnicity were stunted. For those ages 0 to 23 mo, stunting is more prevalent in boys, in rural areas, and in those who have screen exposure, whereas a reduction of stunting was observed for those children whose mothers work in the private sector and in those who consume formula milk and meat. As for those ages 24 to 59 mo, there was a higher prevalence of stunting for those with self-employed mothers and reduced prevalence in children with hygienic waste disposal practices as well as those who play with toys. CONCLUSIONS: The prevalence of stunting among children of Malay ethnicity aged <5 in Malaysia necessitates immediate intervention. It is pertinent to facilitate early identification of those children at risk of stunting for additional care to promote healthy growth.

Effect of Industrial Robots on Employment in China: An Industry Level Analysis.

China has been the world's largest market for industrial robots since 2013. Industrial robots improve accuracy, safety, and efficiency in industrial production but have a substantial impact on the labor market. This investigation uses the task-based model to explore the relationship between industrial robots and employment across industries. This study uses industrial robot data from the International Federation of Robotics and employment data from the China Statistical Yearbook from 2010 to 2019 to examine robot applications' influencing mechanisms on labor demand in different industries in China. The results show a significant positive correlation between robots' exposure and labor demand for IT, health and social services, science research and technical services, and management of water conservancy and environmental industries. Based on the results, the use of robots promotes high-skilled talent employment and some third-sector employment, like education, food and beverages, utilities, household appliances, and transport. However, multiple regression analysis reveals that the use of robots has reduced employment in traditional industries such as agriculture and mining.

Incidence of educational mismatch and earning in Pakistan.

This study empirically examines the incidence and earning effect of educational mismatch in the labor market of Pakistan. Microdata obtained from the labor force survey for the years (2013-14, 2014-15, 2017-18) is used for the analysis. The realized match approach is used to measure the required level of education, and the augmented mincerian model is used to determine the potential earning effects associated with the educational mismatch. The study found a considerable incidence of under-education and over-education in the labor market. Results show a positive return to under-education and over-education. However, the return to the required level of education is significantly higher than both the under-education and over-education.

The Impact of Public, Private, and Out-of-Pocket Health Expenditures on Under-Five Mortality in Malaysia.

Health financing in Malaysia is intensely subsidised by public funding and is increasingly sourced by household out-of-pocket financing, yet the under-five mortality rate has been gradually increasing in the last decade. In this context, this study aims to investigate the relationship between public, private, and out-of-pocket health expenditures and the under-five mortality rate in Malaysia using the autoregressive distributed lag (ARDL) estimation technique, whereby critical test values are recalculated using the response surface method for a time-series data of 22 years. The findings reveal that out-of-pocket health expenditure deteriorates the under-five mortality rate in Malaysia, while public and private health expenditures are statistically insignificant. Therefore, an effective health financing safety net may be an option to ensure an imperative child health outcome.