Search Results (38)

The transformation of the labor market driven by digital technology has profoundly affected workers’ income. Based on data from the China Family Panel Studies (CFPS) 2014–2022 and the China Labor-force Dynamic Survey (CLDS) 2012–2018, this paper systematically examines the causal effects of standard employment, traditional non-standard employment (labor dispatch), and new non-standard employment (non-contract employment) on income within a unified framework. This study adopts a progressive identification strategy combining the two-way fixed-effects model, individual fixed-effects model, and event study methodology. The findings are as follows: First, new non-standard employment exhibits a significant “income penalty” effect, with its wage level being 14–15% lower than that of standard employment. This effect remains robust after controlling for individual heterogeneity. Second, dynamic analysis shows that transitioning from standard employment to new non-standard employment leads to sustained income loss, with a decline of nearly 10.8% after four years. Third, mechanism testing reveals that workers increase part-time work to compensate for income loss, but job satisfaction significantly declines, leading to a dual dilemma of “exchanging time for income” and “welfare discount.” Fourth, heterogeneity analysis shows that less educated and rural workers suffer greater shocks. The study concludes that new non-standard employment has inherent income suppression characteristics, and its effects are persistent and heterogeneous. It calls for the improvement of a labor rights protection system that adapts to new forms of employment, as well as the implementation of targeted support policies for vulnerable groups, in order to build a more equitable and secure labor market. Full article

Every year, road accidents cause significant human and social losses, posing one of the key challenges for public policy in Poland. The aim of this article is to quantitatively assess the relationship between selected infrastructural and economic conditions and the scale of road accidents in Poland in the period 2010–2024. The analysis was carried out using a log–linear regression model, which allows the results to be interpreted in terms of elasticity. The dependent variable was the total number of road accidents, while the set of explanatory variables included the density of paved roads, the length of expressways and motorways, urban population density, the level of private car ownership, and average gross wages. The results indicate that the development of road infrastructure and an increase in the population’s income contribute to reducing the number of accidents, while the growing number of passenger cars significantly increases the risk of accidents. The estimated model explains approximately 94% of the variation in accident counts (R² = 0.94). The elasticity of passenger car ownership is positive (β = 1.39), indicating increased accident exposure with rising motorization, while paved road density (β = −46.56) and expressways (β = −2.03) show negative elasticities. Average wages are also negatively associated with accidents (β = −4.64). These results quantify the proportional structure of long-term accident dynamics rather than merely confirming directional relationships. The analysis also revealed a negative correlation between urban population density and the number of accidents, which may indicate greater effectiveness of traffic management and control systems in urban areas. The results of the study provide empirical evidence relevant for the development of investment and regulatory strategies in the area of transport infrastructure and road safety. Full article

The COVID-19 pandemic exacerbated labor market inequalities, disproportionately impacting workers based on age, gender, and sector. In Turkey, the pandemic-induced economic crisis resulted in a substantial increase in unemployment, with youth (ages 15–24) encountering the most significant challenges. Young women, in particular, experienced more severe outcomes, increasing their vulnerability in the labor market. This study examined the factors contributing to the intensified challenges faced by young women during the pandemic. Using official data from the International Labour Organization (ILO), the Organisation for Economic Co-operation and Development (OECD), and the Turkish Statistical Institute (TurkStat), comparative analyses were conducted on labor market indicators by age and gender, focusing on unemployment rates, informal employment, and sectoral distribution. This study considers both narrow and broad definitions of unemployment, including underemployment and the potential labor force. The findings indicate that young women suffered the most severe employment losses, exacerbated by their concentration in low-wage, precarious jobs and informal work, with gendered occupational segregation further intensifying these disparities. Full article

Background: Human immunodeficiency virus and hypertension increasingly co-occur in South Africa. Despite publicly funded care, patients with multimorbidity face high out-of-pocket costs, yet limited evidence exists from the patient perspective. Purpose: To quantify the economic burden of comorbid HIV and hypertension, assess predictors of monthly out-of-pocket costs, and explore coping mechanisms. Methods: We conducted a cross-sectional analysis using patient-level data from the Mobile Phone Text Messages to Improve Hypertension Medication Adherence in Adults with HIV (MOPHADHIV trial) [Trial number: PACTR201811878799717], a randomized controlled trial evaluating short messages services adherence support for hypertension care in people with HIV. We calculated the monthly direct non-medical, indirect, and coping costs from a patient perspective, valuing indirect costs using both actual income and minimum wage assumptions. Generalized linear models with a gamma distribution and log link were used to identify cost determinants. Catastrophic expenditure thresholds (10–40% of monthly income) were assessed. Results: Among 683 participants, mean monthly total costs were ZAR 105.81 (USD 5.72) using actual income and ZAR 182.3 (USD 9.9) when valuing indirect costs by minimum wage. These time-related productivity losses constituted the largest share of overall expenses. Regression models revealed a strong income gradient: participants in the richest quintile incurred ZAR 131.9 (95% CI: 63.6–200.1) more per month than the poorest. However, this gradient diminished or reversed under standardized wage assumptions, suggesting a heavier proportional burden on middle-income groups. Other socio-demographic factors (gender, employment, education) not significantly associated with total costs, likely reflecting the broad reach of South Africa’s primary health system. Nearly half of the participants also reported resorting to coping mechanisms such as borrowing or asset sales. Conclusions: Comorbid HIV and hypertension impose substantial patient costs, predominantly indirect. Income disparities drive variation, raising equity concerns. Strengthening integrated human immunodeficiency virus—non-communicable diseases care and targeting financial support are key to advancing South Africa’s Universal Health Coverage reforms. Full article

Labor markets worldwide are increasingly strained by skill shortages, mismatches, and migration pressures, disrupting workforce stability and economic growth. This study conducts a comparative sectoral analysis in North Macedonia, Türkiye, Ethiopia, and Ukraine, focusing on the manufacturing, information and communication technology, and hospitality sectors, to examine the root causes and economic consequences of these challenges. Using a qualitatively driven mixed-methods approach, the research integrates expert interviews, surveys, and labor market data to assess skill gaps, workforce imbalances, and the role of migration. The findings reveal education–industry misalignment, inadequate vocational training, and low wages as persistent drivers of shortages. Additionally, the war in Ukraine, internal conflicts in Ethiopia, and refugee inflows in Türkiye amplify workforce instability, while North Macedonia faces severe emigration, particularly in the sectors of manufacturing and information and communication technologies. These insights are essential for policymakers, industry leaders, and educators in designing labor market interventions that foster workforce resilience. The study recommends national qualification reforms, industry–education collaboration, and improved wage structures to mitigate talent loss and strengthen labor market sustainability. By offering empirical evidence from diverse socio-economic contexts, this research contributes to global discussions on workforce development, migration economics, and labor policy reforms. Full article

Background/Objectives: Currently, there is a limited understanding of the long-term consequences following acute COVID-19, referred to as long COVID. This cross-sectional study aims to analyze the prevalence of persistent signs and symptoms of long COVID, 18 months after primary SARS-CoV-2 infection in adults in southern Brazil. Methods: Using two national databases (the digital registry of SARS-CoV-2 positive cases), 370 individuals living in the state of Paraná (Brazil) were recruited. Data were collected through telephone interviews conducted in 2021 and 2022. Results: The overall prevalence of long COVID was 66.2% among study participants. During the acute phase of infection, the most common symptom clusters included neurological symptoms (87.0%; n = 318), followed by respiratory (82.0%; n = 301), musculoskeletal (66.0%; n = 241), digestive (50.0%; n = 184), psychological (38.0%; n = 138), and endocrine symptoms (28.0%; n = 104). In the 18 month follow-up, the main persistent symptoms were memory loss (42.7%), fatigue (32.2%), anxiety (23.5%), dyspnea (19.7%), and hair loss (19.7%). The proportion of participants with long COVID was statistically higher in females (73.9%), those with a family income below two minimum wages (94.7%), those who do not practice physical activity (83.3%), those who report poor sleep quality (93.3%), those who use long-term medication (85.9%), those who needed health care in the previous six months (87.3%), those who required professional and/or family care (79.3%), those who were in the ICU (79.0%), and those who used ventilatory support (77.5%). Conclusions: Long COVID is a complex condition that requires long-term monitoring and investment in health services due to its high prevalence and the health consequences in the population. Full article

The gradual integration of digital technology into traditional Chinese villages has triggered a shift in income distribution from labor to capital, posing challenges to the wage growth of employed peasants. Based on the theory of empowerment, this paper explores the mechanisms of credit availability and talent loss in the interplay between digital capabilities and wage augmentation among employed peasants. This study empirically examines or validates the mechanism of digital capabilities on wage growth for employed peasants through the entropy weight method, the OLS linear model, the mediation effect model, and propensity score matching while using survey data from 490 farmer entrepreneurs as samples. The findings are as follows. (1) The digital capabilities of farmer entrepreneurs have a significant positive impact on the wage growth of employed peasants, and this result remains robust after a series of robustness checks. In terms of hierarchical effects, digital foundational capabilities > digital application capabilities > digital innovation capabilities. (2) Credit availability and talent loss mediate the relationship between digital capabilities and wage growth for employed peasants. (3) The digital capabilities of farmer entrepreneurs who are young, highly educated, and have a low family-dependency ratio exert a more pronounced influence on the wage growth of employed peasants. Additionally, lower policy uncertainty enhances the effect of digital capabilities on wage growth for employed peasants. The study uncovers the empowerment mechanism of digital advancements embedded during the entrepreneurial journey, enriches research on digital capabilities and common prosperity, and provides a feasible path for governments to formulate reasonable entrepreneurship and digital promotion policies. Full article

Background: The increasing prevalence of child and adolescent overweight and obesity (CAOAO) in Beijing poses significant health and economic challenges. This study assesses the potential health and economic outcomes of implementing specific interventions to address CAOAO in Beijing. Methods: A deterministic Markov cohort model was used to estimate the impact of five interventions from 2025 to 2115: restrictions on unhealthy food marketing to children, mandatory front of package labeling (FOPL), family-based nutrition and exercise education, school-based nutritional health education, and nutritional counseling in primary healthcare. The model evaluated societal costs, healthcare savings, wages, and economic productivity in adulthood, calculating the return on investment (ROI) for each intervention and their combined effect. Result: Without intervention, Beijing is projected to experience a loss of 13.4 million disability-adjusted life years (DALYs) due to CAOAO. The health and economic impact of childhood obesity in Beijing is projected to be CNY 14.6 trillion (USD 2.1 trillion), or a lifetime loss of CNY 6.8 million (USD 0.96 million) per affected child, exceeding the sum of Beijing’s GDP from 2021 to 2023. Restrictions on unhealthy food marketing to children and nutrition counseling in primary healthcare are projected to yield the highest returns, with benefits accruing within one year of implementation. Owing to the substantial upfront costs, including personnel, materials, and training, school-based and family-based interventions require a longer time horizon to realize significant health and economic benefits. Conclusions: Effective management of CAOAO in Beijing demands a multifaceted approach. The combination of restrictions on unhealthy food marketing to children, mandatory front of package labeling, nutrition counseling in primary healthcare, school-based intervention, and family-based intervention presents the most substantial health and economic returns. This comprehensive strategy aligns with global best practices and addresses the unique challenges faced by Beijing in combating childhood obesity. Full article

In this paper, we design and deploy an experimental approach to evaluate the efficacy of a social innovation initiative implemented in rural communities situated in the highlands of Peru, which confronted the challenges posed by the COVID-19 pandemic in the midst of its implementation. Using three rounds of information collected before, during, and after participation, we examine the efficacy of the social innovation economic development approach at increasing household livelihoods. We present robust, statistically significant improvements in household economic well-being, food security satisfaction, and community outlook for participating households compared to non-participating households following program engagement. The results presented in this study suggest that the social innovation program facilitated a notable restructuring of the portfolio of household income and livelihood activities towards more lucrative and value-added pursuits. This transition manifested in increased involvement in entrepreneurial ventures and specialized labor associated with both agricultural and non-agricultural sectors while distancing from traditional agricultural and livestock-related endeavors. The income gains stemming from self-employment activities and wage labor outweigh the losses incurred from reduced agricultural and livestock earnings. Furthermore, our analysis underscores the resilience of innovative income-generating pathways in the face of the COVID-19 pandemic, outperforming traditional agrarian value chains. These findings highlight the efficacy of social innovation programming in facilitating economic development and also shed light on sustainable strategies for economic resilience amidst unforeseen challenges such as the recent global health crisis. Full article

Protein post-translational modifications (PTMs) are an important battleground in the evolutionary arms races that are waged between the host innate immune system and viruses. One such PTM, ADP-ribosylation, has recently emerged as an important mediator of host antiviral immunity. Important for the host–virus conflict over this PTM is the addition of ADP-ribose by PARP proteins and removal of ADP-ribose by macrodomain-containing proteins. Interestingly, several host proteins, known as macroPARPs, contain macrodomains as well as a PARP domain, and these proteins are both important for the host antiviral immune response and evolving under very strong positive (diversifying) evolutionary selection. In addition, several viruses, including alphaviruses and coronaviruses, encode one or more macrodomains. Despite the presence of the conserved macrodomain fold, the enzymatic activity of many of these proteins has not been characterized. Here, we perform evolutionary and functional analyses to characterize the activity of macroPARP and viral macrodomains. We trace the evolutionary history of macroPARPs in metazoans and show that PARP9 and PARP14 contain a single active macrodomain, whereas PARP15 contains none. Interestingly, we also reveal several independent losses of macrodomain enzymatic activity within mammalian PARP14, including in the bat, ungulate, and carnivore lineages. Similar to macroPARPs, coronaviruses contain up to three macrodomains, with only the first displaying catalytic activity. Intriguingly, we also reveal the recurrent loss of macrodomain activity within the alphavirus group of viruses, including enzymatic loss in insect-specific alphaviruses as well as independent enzymatic losses in two human-infecting viruses. Together, our evolutionary and functional data reveal an unexpected turnover in macrodomain activity in both host antiviral proteins and viral proteins. Full article

Introduction: COVID-19 has severely impacted industries and individual lives globally. Due to travel restrictions and social distancing to reduce the spread of the disease, it has seriously affected the travel and tourism industry in Thailand, especially its community-based tourism. The impact of travel bans has magnified employment and income loss to most local families and their communities, negatively impacting the development of local tourism economies. Purpose: The main objective of this study is to investigate the impacts of COVID-19 on community-based tourism as well as its adaptation solutions using a case study from a specific region in Thailand. Design/methodology/approach: Using a phenomenological approach, a series of qualitative face-to-face, semi-structured interviews were undertaken with 42 stakeholders involved in community-based tourism. Findings: The study results indicate that job relocation, temporary business closures, reducing fixed costs, and increasing different sale channels represent the most critical factors impacting CBT operational activities directly affected by the COVID-19 crisis and requiring immediate action. Other supplementary actions involve government financial support, business compensation, early vaccination, reduction of agricultural debt, and increasing agricultural product value. Social implications: These study findings offer direction for Thai governmental policy makers and CBT leaders for the establishment of actionable practices designed to respond rapidly and appropriately to local communities and entrepreneurs during crises such as the COVID-19 pandemic. Originality: The originality of this research was obtained from local stakeholders’ insights on the impacts of COVID-19 upon community-based tourism in the northeast region of Thailand, where tourism represents significant economic value in terms of salaries, wages, and employment generation. Full article

This study aims to evaluate the financial health of Croatian top division clubs, locate their primary source of funding, and assess their capacity for self-sustainability. To conclude the current financial condition and long-term (un)sustainability of Croatian club football, selected financial categories and ratios for HNL clubs from 2018 to 2021 were compared with UEFA benchmarks. The horizontal financial analysis results were presented in aggregate league- and individual club-level form and compared to other leagues, averages, and UEFA recommendations. The research revealed significant operating losses covered by net transfer income, unacceptable high wage-to-revenue ratios, and inferior operating margins. Financial stability should not be upheld only as a means to an end for UEFA licensing but for the long-term viability of every football club and the community in which it is embedded. A focus on long-term internal, organic development (i.e., investing in academies, infrastructure, technology, and human capital, as well as actively supporting young players in the first eleven) can yield an edge against more prosperous competition. Without it, top Croatian clubs will eventually realize that the stream of talented players will thin out and, with it, the golden vein that keeps them financially alive. Full article

The migration of healthcare workers from developing countries to more economically developed countries is a long-standing and ongoing trend. Loss of qualified staff due to migration can negatively impact healthcare systems. Understanding factors that drive migration is essential to identifying and managing health system needs. Our study explored factors related to the migration intent of healthcare staff in Kosovo, particularly after the COVID-19 pandemic. We carried out a cross-sectional survey of healthcare workers from public and private institutions. The survey analysed the prevalence of willingness to migrate and whether willingness was affected by the pandemic, and calculated crude and adjusted odds ratios for variables which may influence migration willingness. 14.43% of healthcare workers reported aspiration to migrate, and 23.68% reported an increased chance of migrating after the pandemic. Dissatisfaction with wages and working conditions, higher education and private sector engagement were associated with increased odds of migration willingness. After the pandemic, factors related to interpersonal relationships and state response gave lower odds of migration intent. These findings point to potential factors associated with the migration of healthcare workers, which can help policymakers address gaps in national health system strategy. Full article

An increasing percentage of products in multichannel retail are being returned, yet many retailers and manufacturers are not aware of the importance and scale of this issue. Similarly, the literature on online returns is limited. Returns processes can be very complicated, contain many manual steps that have several variations, unclear decision-making rules and, at the handling stage, often involve low-wage third-party employees guided by patchy IT systems. This article maps the complexity of product returns processes, highlights challenges and identifies opportunities for improvement, thereby contributing to a deeper understanding of the emerging field of product returns research. It also concludes that it is essential for returns to be made a strategic priority at the senior management level, implementing a Lean approach to returns systems. The research was based on 4 case studies, 17 structured interviews and 3 retail community workshops, all with British and other Western European retailers. Through triangulation of individual data, a generic process map for retail returns was created and implications for sustainability, loss prevention and profit optimisation are examined. Full article

A growing body of literature has documented the negative impacts of air pollution on labor productivity, especially the effects of fine particulate matter. In this paper, we build on this literature by dissecting two channels of how particulate matter affects labor productivity: decreasing labor supply through damaging the physical functioning of the human body, and decreasing the marginal productivity of labor through damaging the cognitive functioning of the human brain. Using the household panel survey from the China Health and Nutrition Survey (CHNS) spanning 2000 to 2015 and combining that information with remotely sensed data on exposure to particulate matter (PM2.5), namely, the most harmful air pollution, we find a significantly negative effect of PM2.5 (instrumented by thermal inversion) on labor productivity. We also find that workers who are male, without a college degree, and are employed in outdoor occupations are mainly affected by PM2.5 through decreasing working hours, whereas college-educated workers employed in indoor occupations are mainly affected by PM2.5 through decreasing unit wages. We provide suggestive evidence that health impacts are behind our measured labor-productivity losses as we find significantly lower metrics in physical activity and increasing disease prevalence under higher exposure to PM2.5. Full article