Search Results (145)

Amid growing concern about labour market resilience in an era of digital and green transitions, this study carries out an investigation on how academic innovation and industrial transformation jointly shape sustainable employment outcomes across EU-27 member states. We frame this inquiry within the emerging concept of the “employment trilemma”, which posits inherent tension between competitiveness, innovation, and social inclusiveness in modern economies. Drawing on a dynamic panel dataset (2005–2023) and employing System SMM estimations, we test the hypothesis that the alignment of academic innovation systems and industrial transformation strategies enhances long-term employment sustainability. Our results reveal a nuanced relationship: academic innovation significantly supports employment in countries with high knowledge absorption capacity, whereas industrial transformation contributes positively only when embedded in cohesive, inclusive economic frameworks. Thus, these findings provide valuable insights for international business due to their emphasis on the importance of cross-sectoral collaboration, policy synchronisation, and investment in human capital for firms navigating increasingly volatile labour markets. Likewise, the study offers actionable insights for business leaders, policymakers, and universities striving to balance innovation with equitable labour market outcomes in an integrated European economy. Full article

Low-carbon transformation and common prosperity are critical pillars of China’s economic growth. To explore the mechanism relating the two, this paper analyzes how carbon efficiency influences the urban–rural income gap, including its transmission mechanism and heterogeneity, and uses panel data from 240 Chinese prefectural cities (2006–2019). The results reveal an “inverted U-shaped” relationship between the low-carbon transition and urban–rural income gap. Specifically, as the carbon emission efficiency improves, the impact of the low-carbon transition on the urban–rural income gap changes from positive to negative. This finding remains robust under robustness tests. The heterogeneity test indicates that the “inverted U-shaped” relationship exhibits regional heterogeneity, resource endowment heterogeneity, economic development stage heterogeneity, and urban–rural income gap level heterogeneity. Furthermore, urban low-carbon transition influences the urban–rural income gap through industrial structure, employment structure, and human capital. This paper discusses the combination of low-carbon transformation and common prosperity, and takes into account both ecological sustainability and social sustainability. The findings of this paper offer policy proposals for advancing the achievement of dual-carbon goals and common prosperity, and provide references for developing countries. Full article

Background: Men who have sex with men (MSM) in Japan, and globally, face disparities in mental health and well-being, driven by stigma, exclusion, and minority stress. While social capital is known to enhance well-being, no previous research has examined the distinct roles of gay versus heterosexual social capital in relation to subjective happiness. Methods: We conducted a cross-sectional online survey of 1564 MSM in Greater Tokyo, using geosocial networking applications. Social capital was measured using an adapted Resource Generator to assess access to resources from MSM and heterosexual network members. Subjective happiness was assessed using the Japanese version of the Subjective Happiness Scale. Multivariable linear regression identified correlates of happiness. Results: Gay social capital was the strongest predictor of subjective happiness, exceeding the effects of self-rated health, education, employment, and age. High levels of heterosexual social capital were also associated with greater happiness but to a lesser extent. Unemployment, poor health, and attendance at gay cruising venues were negatively associated with happiness. Conclusions: These findings provide the first global evidence of the differential associations between gay and heterosexual social capital on subjective happiness. Community-based interventions that affirm identity and build peer connection may substantially improve well-being among MSM in Japan. Full article

The digital economy is emerging as a transformative force for advancing inclusive sustainable development in rural China, particularly in addressing gender disparities in non-agricultural employment. Using the Digital Inclusive Finance Index and China Family Panel Studies data, this paper analyzes the digital economy’s impact on the gender gap in rural non-agricultural employment. It finds that the digital economy boosts women’s employment and wage, narrowing the gap. This effect is more obvious among groups with medium-high human capital, younger people, married people, and those with kids. The digital economy narrows the gap through the following three mechanisms: reshaping skill demands, reducing info-search cost, and promoting domestic labor socialization. It is an engine for growth and a force for gender equality in rural employment. Full article

With the rapid advancement of artificial intelligence (AI) technology, the global employment structure is undergoing profound transformations, significantly impacting social sustainability. This study utilizes panel data from 30 Chinese provinces spanning the years 2010 to 2022 and applies a two-way fixed-effects model to analyze the impact of AI development on the employment skills structure. The findings indicate that advancements in AI technology significantly suppress the demand for low-skilled labor while markedly enhancing the demand for both middle- and high-skilled labor. The threshold effect analysis reveals a nonlinear relationship between AI advancements and the demand for low-skilled workers. Mediation effect tests demonstrate that technological innovation serves as a mediating factor in AI’s impact on low- and middle-skilled labor but has no significant effect on high-skilled labor. The heterogeneity analysis further indicates that AI’s negative impact on low-skilled female employment is more severe than for males, while its positive impact on high-skilled male workers is significant. Additionally, the employment effects of AI are mainly observed in labor-intensive provinces, with minimal influence in capital-intensive areas. This study suggests harnessing AI’s potential to promote employment while proactively mitigating its disruptive effects on the labor market through enhanced research and development support, strengthened employment security, and coordinated regional economic development, thereby advancing sustainable economic and social progress. Full article

In recent years, some college graduates in China have chosen to postpone or avoid employment due to the disparity between their career expectations and the reality of the job market, leading to the emergence of a group of graduates not in employment, education, or training (NEETs). As the number of individuals in this group continues to grow, exploring effective strategies to mitigate such behavior has become increasingly important. Based on self-determination theory, this study conducted an empirical analysis using a multi-wave questionnaire survey with a sample of 226 graduate NEETs in Shanghai, China. The findings indicate that (1) career expectations do not directly reduce social withdrawal behavior; (2) the mere accumulation of human capital is insufficient to decrease social withdrawal—only when knowledge and skills are further transformed into problem-solving ability does an individual’s tendency toward social withdrawal significantly decline; and (3) human capital and problem-solving ability serve as a sequential mediating mechanism between career expectations and social withdrawal behavior. This study expands the research on the formation mechanisms of social withdrawal behavior and elucidates the proactive adaptation pathways in individuals’ career adjustment processes. The findings provide theoretical insights for higher education institutions to shift from traditional knowledge transmission models toward a greater emphasis on problem-solving ability development. Full article

This study explores the potential role of precision agricultural technologies (PATs) in enhancing the physical, natural, human, financial, and social capitals of farming communities in the southern Punjab region of Pakistan, specifically focusing on the districts of Bahawalpur, Rahim Yar Khan, Dera Ghazi Khan, and Multan. A stratified random sampling method with proportional allocation was employed to gather insights from four heterogeneous key stakeholder groups, including progressive farmers, researchers, extension agents, and academicians, yielding a total sample of 287 respondents. A structured questionnaire utilizing a five-point Likert scale was administered, allowing the respondents to assess the perceived potential impacts of the PATs on various livelihood assets. The findings reveal that while stakeholders recognized some potential for PATs to improve physical assets, natural resources, and human capital, the overall perceived impact remained limited across all dimensions. The highest-rated potential impact was noted in crop diversity, with an average score of 2.26 in the physical capital category. In the category of natural capital, precise plant protection practices were rated the highest, with an average score of 2.31 that showed little potential change. A reduction in labor displacement issues and generating skilful employment resources, with average scores of 2.12, were rated the highest in the human capital category. A slight increase in family income, with an average score of 2.28, was observed in the financial capital category, highlighting cautious optimism among respondents. Additionally, reducing family problems and social issues, with an average score of 2.20, was rated the highest, leading to a minimal perceived change in social capital, indicating a need for integrated approaches to foster stronger community ties. The results underscore the necessity for targeted interventions that combine technological adoption with community engagement to enhance the overall resilience of farming systems. This research contributes valuable insights into adopting PATs and their implications for sustainable livelihoods, emphasizing the importance of aligning technological advancements with the unique needs of farming communities in the face of a changing climate. Full article

Work capacity depends on many factors, including the age and health status of the employee, but also on personal characteristics and attitudes, such as reduced tolerance of unfavorable working conditions (Work Annoyance, WA), excessive commitment to work (Overcommitment, OC), passion for work (Work Engagement, WE), and social interactions (Social Capital, SC). A total of 1309 workers who underwent a medical examination at work completed questionnaires on work attitudes and assessed their work ability using the Work Ability Score (WAS). The relationship between variables expressing work attitudes and WAS was studied using hierarchical linear regression and moderation analyses. WA is associated with low WAS values; SC is a positive predictor of WAS and moderates the effect of WA on WAS. OC reduces work ability, while Vigor and Dedication, components of WE, have a strong positive effect on work ability. To improve the work ability of employees, employers and managers should improve social relations in the workplace and discourage overcommitment. A positive working environment can increase engagement and avoid triggers of work annoyance. Full article

Amid comprehensive reforms, artificial intelligence (AI) has emerged as a vital force in solving people’s problems and enhancing quality of life. Yet, theoretical inquiries into the mechanisms by which AI influences social well-being remain limited. Drawing upon cultural lag theory, this study constructs a social well-being index system based on the Gini coefficient objective weighting method. By integrating a moderated mediation model with a spatial econometric model, it examines the mechanisms and impacts of artificial intelligence on social well-being. The findings reveal that AI induces multiple cultural lags and exerts a U-shaped impact on social well-being. AI enhances well-being through the channels of employment opportunities, human capital, and green innovation, while digital inclusion and foreign direct investment (FDI) further reinforce this relationship. Additionally, AI generates spatial spillover effects on social well-being, and the region’s well-being landscape exhibits convergence. However, both digital inclusion and FDI negatively moderate the convergence process, slowing its overall pace. These insights provide substantial practical guidance for crafting informed policies aimed at elevating public well-being. Full article

This article provides a systematic review of the role of social capital in employability models. Although social capital is recognized as a key resource in employment and society, its role in academic research on employability is frequently neglected. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this systematic review reveals an underrepresentation of social capital within employability models, as empirical studies do not attribute the same significance to it as observed in everyday life. The analysis found social capital was identified as a determinant in only 16 out of 47 empirical employability models. In less than half of these models, social capital is included as an independent variable, while, in the remaining models, it is incorporated within another explanatory factor. Notably, only in four models are all three dimensions of social capital (structural, cognitive, relational) included. This raises questions about the validity of existing employability models, emphasizes the necessity of social capital inclusion, and calls for future empirical research. Fostering social capital in employability is pivotal for the economic and social sustainability of aging societies, as it mitigates labor shortages, ensures fiscal stability, supports innovation, and enhances social sustainability through inclusivity and intergenerational equity. Full article

In this study, the aim was to comparatively examine the perception of risk for developing severe illness or complications due to COVID-19 among the general population and socially vulnerable populations in Brazil, focusing on uncovering the associated factors that disproportionately impacted people experiencing homelessness and slum dwellers. This study is part of the project “Social Thermometer—COVID-19 in Brazil”, which employed a hybrid approach, combining a national online survey with field research in state capitals and the Federal District. Data collection took place from August 2020 to October 2023, and the data were analyzed using descriptive statistics and logistic regression. A total of 5094 participants were included in this study, with 2363 from the general population and 2731 from the socially vulnerable population. Among the general population, the majority of participants were women, white individuals, those with higher incomes, formal employment, and higher education levels. Concerning the vulnerable population, most were men, Black individuals, those with lower incomes, unemployment, and lower education levels. It was observed that 87% of the general population perceived a risk of severe COVID-19, compared to 74% of the vulnerable population. Slum dwellers who received emergency aid (OR_a = 1.39; 95% CI: 1.02–1.91), adhered to mask-wearing practices (OR_a = 1.93; 95% CI: 1.39–2.66), used COVID-19-related medications (ORa = 2.13; 95% CI: 1.31–3. 64), and those with pre-existing conditions, such as high blood pressure (OR_a = 1.86; 95% CI: 1.20–2.98), demonstrated a heightened perception of risk for severe COVID-19 complications. Among the homeless population, individuals who wore masks (OR_a = 1.67; 95% CI: 1.26–2.20 and had been vaccinated (OR_a = 1.44; 95% CI: 1.04–1.98) were also more likely to perceive a high risk. In conclusion, in this study, significant disparities are revealed in the perception of COVID-19 risk between the general and socially vulnerable populations in Brazil. Factors such as receiving emergency aid, adherence to mask-wearing, use of COVID-19-related medications, and pre-existing health conditions were associated with increased risk perception. Despite facing greater socioeconomic challenges, vulnerable groups, particularly those experiencing homelessness and slum dwellers, showed a lower perception of the risk for severe COVID-19 complications. Full article

Under the background of global climate change and sustainable development, low-carbon transformation has become an inevitable choice for China and even global economic development. As the cornerstone of social stability and the key to people’s well-being, employment is facing profound changes brought about by low-carbon development. Based on the micro perspective of enterprise behavior change, this paper takes the implementation of China’s low-carbon city pilot policy as an exogenous policy shock and constructs a time-varying difference-in-differences (DID) model to test the impact of the low-carbon city pilot policy on enterprise employment, based on the data of China’s A-share listed enterprises from 2008–2021. The results show that the implementation of low-carbon city pilot policies significantly expands the employment scale of enterprises and increases overall employment by about 6.77%. From the perspective of employment skill structure, it can promote the employment of high-skilled and low-skilled workers. From the perspective of employment position structure, it can promote the employment of production operations personnel, technology research and development personnel, and service and management personnel. These results are still valid after a series of robustness tests. The policy effect is due to the deepening of enterprise capital integration, green investment, technological innovation and vertical specialization. In addition, it is also affected by the differences of enterprise ownership, enterprise scale, industry pollution degree, regional environmental regulation, and market competition degree. Further research shows that low-carbon city pilot policies significantly reduce the share of labor income of employees in heavily polluting enterprises, resulting in the loss of employee welfare. From the perspective of employment, this paper provides more theoretical support and empirical evidence for low-carbon policies to drive changes in micro-enterprise behavior, so as to achieve the sustainable goals of “double carbon” and “stable employment”. Full article

Increasing the attractiveness of research careers for PhD students has been a key objective of science, technology, and innovation policies worldwide. This study draws on an expanded career construction theory framework to examine the effects of proactive personality, employability social capital, and career adaptability on PhD students’ research career intentions as well as the moderating role of gender in this structural model. We collected data from 795 Chinese PhD students at 10 universities via an online questionnaire survey. Structural equation modeling analysis revealed that proactive personality had no significant direct effect on research career intentions; however, it could influence research career intentions indirectly via the separate and chain mediating effects of employability social capital and career adaptability. In addition, gender was shown to moderate the relationship between employability social capital and research career intentions. The theoretical and practical implications of this research are highlighted, and recommendations for future research are discussed. Full article

This study examines the relationships among social capital, residential satisfaction, and attitudes toward disadvantaged groups in South Korea, with a focus on the moderating effects of educational and employment vulnerability. Using data from the 2022 Seoul Survey, which included a sample of 39,340 individuals, the analysis employed Hayes’ Process Macro to assess both mediation and moderated mediation effects. The findings show that social capital significantly enhances residential satisfaction (β = 0.557, p < 0.001), which, in turn, positively influences attitudes toward disadvantaged groups (β = 0.411, p < 0.001). Notably, the impact of residential satisfaction on attitudes was stronger for individuals who were educationally and employment-vulnerable, underscoring the amplified role of housing conditions in shaping social attitudes for these groups. These results highlight the importance of strengthening social capital and implementing targeted housing policies to improve the well-being of vulnerable populations. Policy recommendations include integrating social capital-building initiatives with urban planning strategies and addressing the specific needs of vulnerable groups through tailored housing interventions to foster social cohesion and inclusivity. Future research should explore other dimensions of vulnerability and utilize longitudinal data to assess long-term impacts. Full article

Food and beverage in Europe represents a central sector in terms of contribution to GDP, employment, and the trade balance. At the same time, it has significant environmental, economic, and social implications, making the adoption of sustainable strategies of vital importance for companies in the sector. This study explores how sustainable business practices can create long-term strategic value, with a particular focus on the food and beverage sector. The research analyzes the relationship between sustainability and business strategy, focusing on how companies can thrive in the context of environmental uncertainties, social fluctuations, and economic interconnectedness. Specifically, the study aims to identify the key sustainability practices and strategies adopted by leading food and beverage companies and determine how these practices affect their ESG performance (environmental, social, and governance) results. The study uses a reasoned selection of case studies from one of the primary CSR regulatory categories—listed companies with considerable size (excluding tobacco companies and those with a capitalization of less than EUR 10 billion)—comparing companies’ sustainability reports and the latest 2023 integrated annual report to assess every aspect of each company, from market position to sustainability policies and sustainable reporting. Full article