Search Results (335)

The matter of aligning universities’ curricula with the actual demands of a constantly changing labor market has become an important issue nowadays, due to the prevailing mismatches between acquired skills and competences during education years and the necessities of current jobs. Disequilibria and inequalities in the labor market often generate general disappointment with education degrees. With the pressure of technological advancements and AI integration in many areas of work, future employees’ career paths are challenged even more, and the adaptability of higher education institutions to the real needs of the labor market is questioned. Artificial intelligence (AI) is the technology that allows computer systems and machines to simulate human learning, problem-solving, and decision-making. This paper aims to explore if universities in Romania foster sustainable human capital development through enhancing their educational programs to fit the changes produced by artificial intelligence and how the reskilling of graduates will play a hugely significant role in staying resilient during such disruptions. A quantitative survey was conducted among recent Romanian university graduates to outline their perceptions of curriculum relevance and their level of preparedness for the AI-driven job market. The results highlight gaps between formal education and labor market demands in terms of limited exposure to AI-related skills and a growing need for reskilling to secure suitable jobs for graduates in the long term, while also emphasizing the importance of aligning educational policies with sustainable labor market integration. Full article

This study investigates how skilled labor influences the development of the secondary sector in emerging economies, using China as a case study. We focus on the transitional process in which manufacturing growth shifts from labor-intensive expansion toward productivity-driven industrial upgrading. Using provincial-level data from 2000 to 2023, we evaluate the role of skilled labor across different stages of development by applying fixed-effects panel regressions, a difference-in-differences framework, and multiple robustness checks. Our findings reveal that skilled labor does not significantly contribute to secondary sector performance in the early phase, when growth relies primarily on low labor costs and rapid urbanization. However, once regions accumulate sufficient economic capacity and technological readiness, skilled labor becomes an important driver of value added and export performance. Stricter environmental policies further widen regional differences: developed regions benefit from green upgrading supported by skilled workers, while less developed regions face firm exits and weakening industrial output. These results highlight the importance of aligning human capital investments with industrial and environmental policies to promote more balanced and sustainable economic development in emerging markets. Full article

Like many modern economies, Latvia experiences demographic decline, which will cause shortages in the labor force in the future. This article aims to characterize the decline in the working-age population and the factors causing it using system dynamics, PEST, and SWOT analysis. First, the article provides two scenarios for the numerical presentation of a long-term change in the population of working age in Latvia due to emigration. Second, the article describes political, economic, social, and technological factors important for a territory to be economically active and attractive for living and working, which, in turn, is a prerequisite for a populous territory. Third, the article characterizes current peculiarities of the labor market in Latvia given findings on political, economic, social, and technological factors, including achievements and issues. As a result of the analysis, the article provides an analysis of a highly illustrative case study of Latvia, with low birth rates and high emigration, on the one hand, and a broad understanding of reasons for demographic decline on the other hand. In combination with the current characteristics of the labor market, the analysis provides knowledge on achievements and issues for the long-term development of the labor force. The article contributes to debates through a multimethod approach to clarify both working-age population projections and factors affecting the economic attractiveness of a territory. The novelty of the research lies in the application of system dynamics for population projections and a combination of PEST and SWOT analysis for macroeconomic issues. The findings may advise policy-making. The main research findings demonstrate that the expected decline in the working-age population in Latvia is alarming. Besides policies for preventing further decline in the working-age population, policy-making should address such issues as the lack of human capital in smart specialization areas, a low interest of society in becoming an entrepreneur, and insufficient activity in high-tech sectors of the economy. At the same time, the realization of smart specialization strategies contributes to labor market resilience. Full article

This study examines how digital transformation enhances supply chain resilience among Chinese firms, with a focus on the underlying mechanisms and contextual conditions. Grounded in dynamic capabilities theory, we conceptualize supply chain resilience along two dimensions: proactive capability and reactive capability. Using data from A-share listed companies between 2007 and 2022, we construct firm-level resilience measures through entropy weighting. Digital transformation is measured by textual analysis of corporate annual reports, supplemented with policy documents and academic literature to enrich the keyword dictionary. Empirical results, validated through instrumental variable estimation, Heckman two-stage models, and multiple robustness checks, show that digital transformation significantly improves overall supply chain resilience, with a stronger effect on reactive capability. Further analysis identifies three mediating channels: improved information sharing across the supply chain, enhanced firm-level innovation, and reduced exposure to environmental uncertainty. Heterogeneity tests reveal that the positive impact of digital transformation is more pronounced in non-state-owned enterprises, high-tech firms, and firms in technology-intensive or labor-intensive industries. The effect is also stronger for firms operating under high environmental uncertainty or located in regions with lower levels of marketization. These findings offer practical guidance for managers and policymakers aiming to strengthen supply chains through digitalization, particularly in an era marked by growing global disruptions and sustainability challenges. Full article

This study examines the relationship between digital skills and entrepreneurial intention in Mexico, emphasizing demographic, educational, and technological determinants. Despite the recognized importance of digitalization, most Mexican entrepreneurs possess only basic competencies, which constrains productivity and growth. Using data from the Digital Skills Profiler (50,582 individuals), binary probit models were estimated to assess the effect of digital skills on both current and prospective entrepreneurs. Results reveal a paradox: individuals with advanced digital skills are less frequently engaged in entrepreneurship, often opting instead for better paid and more stable employment in the formal labor market. When engaging in entrepreneurship, individuals with advanced digital skills tend to concentrate in service sector or non-conventional activities, exhibiting weaker connections to trade in goods. Women and older generations face greater barriers to acquiring digital competencies, whereas younger cohorts show stronger skills that do not necessarily translate into opportunity-driven ventures. Necessity-driven entrepreneurship predominates, with only a small fraction of ventures evolving into opportunity-based projects. The findings highlight the need for differentiated policy approaches: fostering innovative, competitive entrepreneurship requires distinct instruments from those designed to support subsistence ventures. Aligning digital inclusion and entrepreneurship strategies with Sustainable Development Goals 8 and 9 will be crucial to narrowing digital divides and promoting sustainable, inclusive growth. Full article

Digital technologies have rapidly penetrated rural China, transforming household economic structures and reshaping agricultural factor markets. Drawing on 3930 household-level observations from six provinces in the Yellow River Basin (2020–2023), this research aims to examine how digital technology adoption influences the optimal allocation of household labor, land, and capital. To address self-selection and endogeneity, we employed an Endogenous Switching Probit (ESP) model and conducted counterfactual analysis, supplemented by propensity score matching (PSM), instrumental variable probit (IV-Probit), replacement of the core explanatory variable, and exclusion of special samples as four robustness checks. The Average Treatment Effects on the Treated show that digital technology adopters would have reduced the probabilities of non-farm employment, farmland transfer-out, and productive loan access by 24.5, 19.3, and 16.7 percentage points, if they had not adopted digital technology. Similarly, digital technology non-adopters would have improved 27.4, 22.2, and 18.9 percentage points if they adopted digital tools. These impacts are stronger over time, in the upper reaches of the Yellow River Basin, among households with larger landholdings, and among younger farmers. Mechanism analysis further indicates that digital technologies expand information access, strengthen social networks, and ease credit constraints, thereby jointly promoting more efficient labor, land, and capital allocation. The policy implications of these findings are as follows: the importance of improving rural digital infrastructure, tailoring regional policies, and enhancing farmers’ digital skills to narrow the digital divide and support inclusive rural revitalization. Full article

Vocational education and training (VET) is a strategic driver of national education and skills development systems. It covers both Initial VET (IVET), which provides young people with vocational qualifications before they enter the labor market, and Continuing VET (CVET), which supports adults in updating or expanding their skills throughout their working lives. VET provides individuals with essential skills for employment and supports economies in adapting to technological, labor market, and social changes. Within the European Union (EU), VET plays a central role in addressing labor market transformation, the green and digital transitions, the rise of artificial intelligence, and the pursuit of social equity. This paper presents a data-driven analysis of VET in the EU countries. It reviews the relevant literature and outlines the role of Cedefop, the European Centre for the Development of Vocational Training, together with its main VET performance indicators. The analysis draws on publicly available Cedefop data on key VET indicators, filtered for reliability and systematically processed to ensure robust results. This research focuses on a selected set of key indicators covering participation in IVET at upper- and post-secondary levels, adult participation in both formal and non-formal learning, government and enterprise expenditure on training, the gender employment gap, and adult employment rates. These indicators are derived from Cedefop data spanning the period 2010–2024, with coverage varying across indicators. This study applies descriptive analysis to identify outlier countries, correlation analysis to explore relationships between indicators, and cluster analysis to group countries with similar VET profiles. It also compares the largest EU countries using common indicators. The results suggest key patterns, differences, and connections in VET performance across EU countries, offering insights for policy development and future research in VET. Full article

Aquatic product value-added trade constitutes a vital component of agricultural food security. Particularly in developing coastal nations, aquatic products serve as the backbone of the agricultural sector. However, illegal, unreported, and unregulated (IUU) fishing activities not only disrupt the global marine aquatic products value chain but also accelerate the degradation of marine ecosystems and the depletion of marine resources, posing severe challenges to sustainable fisheries and environmental governance. In 2022, the World Trade Organization reached a consensus on fisheries subsidy negotiations, while regional agreements such as the United States–Mexico–Canada Agreement (USMCA) and the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) incorporated fisheries into relevant provisions under environmental rules. This indicates that high-standard environmental trade agreements are emerging as crucial tools for cross-border fisheries governance. This study employs open economy theory and a deep text protocol database to conduct an empirical analysis of the impact of high-standard bilateral environmental provisions on the interconnections within the aquatic products value chain. Findings reveal that environmental provisions significantly strengthen these linkages by lowering market access barriers, promoting technology spillovers, and reinforcing horizontal and vertical labor division. Heterogeneity analysis further shows that the extent of these effects varies with trade provisions, political distance, and network position. These insights offer new perspectives for seafood exports and upstream–downstream coordination in aquatic products, providing policy implications for regions seeking to enhance their value chain advantages. Full article

The rapid advancement of emerging technologies is reshaping industries, widening skills gaps, and increasing the demand for technology talent. Limited university–industry collaboration further constrains the alignment between educational outcomes and labor market needs. This study proposes an Integrated Competency-Based Framework for Employability and the Sustainability of Higher Education, focusing on institutional and knowledge sustainability. The Framework integrates a Competency Map that establishes a university–industry shared language and a Digital Platform that facilitates actor interactions, strengthening the characterization, visibility, and connection of student talent and industry opportunities through digital portfolios. The research followed a two-phase approach: design and pilot implementation. During the pilot, the core components of the Framework were developed, and its initial feasibility and potential relevance were assessed through a survey, a workshop, and semi-structured interviews with students, professors, and industry stakeholders. The findings suggest that the Framework may enhance student employability, access to industry opportunities and talent identification, and strengthen institutional processes that support teaching, curriculum development, academic quality enhancement, and accreditation, thus highlighting the potential contribution of the Framework to institutional, knowledge, and socio-economic sustainability. The study makes theoretical, empirical, and practical contributions by advancing competency-based education for employability and the sustainability of higher education. Full article

Shellfish aquaculture is considered a major pillar of the seafood industry for its high market value, which increases the value for global food security and sustainability, often constrained in terms of conventional, labor-intensive practices. This review outlines the importance of automation and its advances in the shellfish value chain, starting from the hatchery operations to harvesting, processing, traceability, and logistics. Emerging technologies such as imaging, computer vision, artificial intelligence, robotics, IoT, blockchain, and RFID provide a major impact in transforming the shellfish sector by improving the efficiency, reducing the labor costs and environmental impacts, enhancing the food safety, and providing transparency throughout the supply chain. The studies involving the bivalves and crustaceans on their automated feeding, harvesting, grading, depuration, non-destructive quality assessments, and smart monitoring in transportation are highlighted in this review to address concerns involved with conventional practices. The review puts forth the need for integrating automated technologies into farm management and post-harvest operations to scale shellfish aquaculture sustainably, meeting the rising global demand while aligning with the Sustainability Development Goals (SDGs). Full article

This entry examines how wage-setting institutions (WSIs) shape wages across advanced economies. It focuses on four core mechanisms—minimum wages, collective bargaining, wage coordination, and wage centralization—drawing on theoretical insights, empirical evidence, and cross-country comparisons. The analysis shows that minimum wages safeguard low-paid workers but have heterogeneous employment effects depending on their level and enforcement. Collective bargaining raises average wages and compresses wage inequality, though it can reduce flexibility and create insider–outsider dynamics. Wage coordination stabilizes wage growth, prevents inflationary spirals, and fosters equity, while wage centralization promotes solidarity wages and macroeconomic discipline but may limit adaptability. Using The Organization for Economic Co-operation and Development (OECD) and Institutional Characteristics of Trade Unions, Wage Setting, State Intervention and Social Pacts (ICTWSS) data, the study highlights institutional diversity, ranging from coordinated Nordic models to fragmented liberal systems, and identifies trends toward “organized decentralization”. Policy implications suggest that WSIs should be viewed not as rigidities but as adaptable frameworks that can balance efficiency, equity, and stability when carefully designed. The conclusion emphasizes that the future of wage-setting lies in leveraging institutional complementarities to respond to globalization, technological change, and shifting labor market conditions. Full article

Advancing toward sustainable higher education requires simultaneously addressing United Nations Sustainability Goals 4 (quality education) and 5 (gender equality). This mixed-methods case study analyzes how cultural stereotypes and gender expectations influence career choices in the field of computer science, which is highly masculinized in Chile. As a contextual and comparative contrast, the feminization of disciplines such as nursing is considered, illustrating the gender polarization across areas of knowledge. This comparison is not random, since in Chile the health sector stands at the opposite end of the spectrum from technology, as demonstrated by the study’s figures. As a theoretical basis, a simple systematic review of the literature published between 2013 and 2024 (in English and Spanish) was carried out, drawing on Scopus, Web of Science, SciELO, and ERIC databases, following some steps of the PRISMA protocol. Thematic analysis allowed mapping research by region, discipline, and type of intervention. The results confirm the persistence of stereotyped beliefs about skills and professional roles, even in contexts with formal equity policies. Strategies that foster empathy, belonging, and intercultural communication, implemented through mentoring, outreach activities, or curriculum redesign, emerge as key catalysts for more inclusive environments. The study presents a practical case applied to first-year computer engineering students at the Universidad de La Frontera (Chile), in which gendered perceptions embedded in vocational choice processes were identified. By situating this study in Chile’s context, we identify how local structures—school sector, regional labor markets, and gender norms—shape women’s participation in computing. Based on this experience, practical recommendations are proposed for integrating a gender perspective into technology education, including pedagogical strategies, gender-sensitive vocational guidance, and the visibility of role models. Full article

As the importance of energy efficiency and smart readiness in the building sector has been on the rise, the financial evaluation of smart-ready technologies (SRTs) remains a gap in this field. This study introduces a methodology that comparatively evaluates the cost–benefit relationship between 11 different SRTs across three European countries—Cyprus, Italy and The Netherlands. Key performance indicators (KPIs) for energy-focused aspects such as Country-Specific Energy Savings Potential (CSESP) and Seasonal Smart Efficiency Coefficient (SSEC) and financial aspects such as Smart Readiness Cost Index (SRCI), Labor Cost Impact Factor (LCIF), Return on Smart Investment (RoSI), and Smart Investment Break-Even Period (SIBEP) were used to quantify the performance of the SRTs. The results indicate that regional labor rates, energy pricing, and climatic conditions—as well as relative technology cost–benefit tradeoffs—play a significant role in the economic viability of smart-ready devices. Having low labor costs and energy pricing, Cyprus exhibited the most cost-effective outcomes among the three countries. Italy showed strong returns although the initial investments were higher. The Netherlands was observed to benefit the most from heating-oriented technologies. The study comes to the conclusion that regionally specific methods are necessary for the adoption of SRTs and that techno-economic performance cannot be assessed separately from local market dynamics. The proposed framework supports stakeholders and policymakers in smart building investment and planning by offering a scalable method for device-level benchmarking. These indicators are developed specifically for this study and are not part of the official EU SRI (Smart Readiness Indicator) methodology. Their inclusion supports device-level evaluation and complements ongoing efforts toward SRI standardization. This research directly addresses Sustainable Development Goal (SDG) 7 on Affordable and Clean Energy, as well as SDG 11 on Sustainable Development, by evaluating how smart-ready technologies can contribute to energy efficiency and decarbonization in buildings. Based on the results, further research is needed to expand the indicator framework to additional technologies, include building typology effects, and integrate dynamic factors such as CO₂ pricing and real-time tariffs. Full article

Sustainable utilization of energy depends on the establishment of an advanced energy system. As the world’s largest consumer and importer of energy, China’s progress in this field has attracted considerable attention. This study seeks to address the limitations of most existing research, which largely remains at a qualitative level, by expanding perspectives and methodologies. Utilizing think-tank research approaches and indicator system evaluation methods, it quantitatively evaluates the development level of new energy systems across thirty provincial-level administrative regions in China from 2011 to 2023. Machine learning methods were applied to empirically analyze the driving mechanisms of “new” factors through the construction of a random forest model. The results reveal that: (1) China’s new energy system exhibited an overall positive development trend, albeit at a relatively slow pace and with notable spatial disparities. The development levels of the three core objectives followed a gradient pattern, showing marked improvements after the implementation of China’s supply-side structural reform policies. (2) Innovation funding and high-level labor input served as the dominant driving forces for development, while factors such as the scale of the technology market, the proportion of the tertiary sector, and environmental regulation investment played supplementary roles, with regional variations observed. Full article

Against the backdrop of global sustainable development goals, the resilience of manufacturing enterprises has become a critical topic. It serves as an important benchmark for assessing ability to coordinate environmental responsibilities and economic benefits. It also plays a pivotal role in driving the green transformation of industries and sustainable social development. To examine the relationship between environmental, social, and governance (ESG) performance and corporate resilience, as well as their underlying mechanisms, this study develops a research model incorporating moderating and mediating effects. Using a sample of manufacturing listed companies in China’s Shanghai and Shenzhen A-share markets covering the period 2011–2023, the study systematically investigates the impact of ESG performance on corporate resilience. The results indicate that ESG performance significantly enhances corporate resilience, and this conclusion remains valid under various robustness tests. Further mechanism analysis reveals that ESG performance effectively promotes corporate resilience by improving resource allocation efficiency, with analyst attention exerting a positive moderating effect in this process. Heterogeneity analysis reveals that the promoting effect of ESG performance on corporate resilience is more significant in technology-intensive and labor-intensive industries, high environmental sensitivity industries, markets with intense competition, and firms with low resource slack. This study not only expands the theoretical explanatory framework in the fields of corporate sustainable development and organizational resilience but also provides policy and management implications for manufacturing firms to achieve green transformation and sustainable competitiveness through ESG practices in an uncertain environment. Full article