Search Results (336)

This study investigates the structural misalignment between official wage benchmarks and actual market wages in the Republic of Korea to establish an independent, forestry-specific wage system essential for labor sustainability. Historically, the Republic of Korea forestry project costs have relied on construction industry benchmarks, leading to a “diverging hypothesis” where official rates fail to reflect the specialized risks and technical skills required in forest operations. To address this, a comprehensive wage survey was conducted in 2025 across 13 specialized forestry occupations. Utilizing a sampling frame of 7555 sites, 1044 units were selected via stratified sampling with square-root proportional allocation, ensuring a relative standard error (RSE) of 2.5%. The findings reveal that market wages consistently exceed construction benchmarks by 4.5% to 41.0%. The most significant disparities were observed in leadership and mechanized roles, reflecting substantial “risk–responsibility” and “skill premiums”. Furthermore, the study identifies a structural shift toward risk-transfer strategies, such as stumpage sales, in response to the Serious Accidents Punishment Act (SAPA). These results underscore the urgent need for a specialized wage framework to ensure safety and long-term resilience. Ultimately, such institutional refinement is a prerequisite for securing the high-quality human capital necessary for a sustainable circular bioeconomy. Full article

This paper develops a Business Resilience Index (BRI) that measures county-level resilience to natural disasters at a county-quarter frequency for the United States over 2014–2024. The index integrates high-frequency labor market outcomes from the Quarterly Census of Employment and Wages with flood insurance policy information from FEMA, disaster damages from the NOAA Storm Events Database, and social and health determinants from County Health Rankings. Starting from a broad candidate set, we apply an interpretable feature-screening pipeline to retain 79 variables and then use principal component analysis to extract four orthogonal structural dimensions of resilience: market scale, socioeconomic resilience, urban density risk, and industrial economy profile. We construct a domain-weighted strategic index and benchmark it against data-driven and equal-weight alternatives, showing that county rankings are highly stable across weighting schemes. To evaluate whether the BRI aligns with recovery behavior under acute shocks, we implement a matched difference-in-differences event study around two major flood episodes—Texas in 2015Q2 and North Carolina in 2018Q3. Conditional on exposure intensity and matched comparability, higher pre-event BRI counties exhibit earlier stabilization and a stronger post-event employment path relative to lower BRI counties, with differences in magnitude and timing across cases. Overall, the BRI provides an interpretable, high-frequency baseline for identifying capacity constraints that may slow recovery and for supporting preparedness targeting and post-disaster monitoring. Full article

This paper aims to provide evidence of the impact on the minimum wage to employment in Greece over the period 2016 to 2024. The main contribution of this paper is the examination of the effects of the minimum wage during a period characterized by many difficulties and research interest not only nationwide but also across regions with high heterogeneity. The case of Greece is particularly interesting to study during this period as it provides a unique context to explore the effects of minimum wage increases on employment. Greece constitutes a distinctly singular case within the European context due to the exceptional structural characteristics of its labor market. Following a protracted economic crisis, successive waves of labor market reforms, and the additional disruptions generated by the COVID-19 pandemic, Greece provides an illustrative, and in many respects unique, example of how extensive policy interventions interact with a gradually recovering economy and persistently elevated unemployment levels. Overall, the results strongly indicate that there is little to no impact of the minimum wage on employment and the findings vary considerably across the different regional contexts. Finally, the DiD methodology used supports the credibility of the findings and suggests that the lack of impact of the minimum wage is not due to model specification or timing bias. Full article

Demographic decline in many Organization for Economic Co-operation and Development (OECD) countries is widely considered the principal source of hurling public pension disbursements, whilst trade unions are often blamed for staunch antagonism towards any transformations that might alleviate the fiscal encumbrance. If financialization is state-acquiesced, with the state being considered fundamental for market integration and social regulation of markets to protect against market failures, how then should inter-generational equity be addressed? This work tests the hypothesis that deindustrialization (measured as the declining proportion of employment in manufacturing) and lower trade-union density are quintessential channels through which demographic change translates into ascending pension outlays. Using OECD data from 1960 to 2013, we utilize longitudinal and panel quantile statistical methods to dissect these links across assorted pension system clusters (total, mandatory private, mandatory public, mandatory public & voluntary, and mandatory public & private). This study highlights the mediating role of labor market structure in pension financing. Full article

Unequal access to employment poses a critical challenge to urban social sustainability, particularly in migrant-receiving cities. Residential differentiation, as a spatial manifestation of inequality, may structurally constrain migrants’ opportunities to enter formal labor markets and achieve social inclusion. Using survey data from rural migrants in Beijing’s urban fringe areas in 2024 (N = 539), this study examines the impact of residential differentiation on labor market outcomes, with a focus on formal employment entry. Probit models and instrumental variable estimation are employed to address endogeneity and explore underlying mechanisms. The results show that higher levels of residential differentiation significantly reduce migrants’ likelihood of entering formal employment. After accounting for endogeneity, residential differentiation is also associated with a higher risk of overtime work. Mechanism analysis further indicates that commuting distances serve as a core pathway through which residential differentiation affects employment outcomes, not merely as a matter of physical distance but by shaping the range of accessible job opportunities. In contrast, heterogeneous social networks function as an important moderating mechanism that can help individuals access employment information and opportunities beyond their immediate residential environment. These findings suggest that unequal access to employment is a key pathway through which residential differentiation undermines urban social sustainability, highlighting the importance of policies that promote inclusive labor markets and cross-group social integration. Full article

Routine-Biased Technological Change (RBTC) is viewed as reshaping labor markets, yet its implications for gender inequality in developing economies remain underexplored. This study examines these dynamics among formal wage workers in Indonesia from 2001 to 2019. Using stacked first-difference estimations and a dynamic shift-share decomposition, we document three interconnected patterns. First, routine displacement unfolds episodically rather than simultaneously—with relative contraction in routine cognitive jobs (2001–2005), routine manual jobs (2005–2010), and renewed routine cognitive pressures (2015–2019)—a sequence likely shaped by technological change alongside macroeconomic and institutional forces. Second, these adjustments are gender-asymmetric. Women experienced greater exposure to displacement but reallocated substantially toward non-routine interpersonal roles. This occupational upgrading is consistent with both task-based demand shifts associated with technological change and the entry of younger, more educated female cohorts. Third, employment reallocation exerted a narrowing influence on the gender wage gap, particularly in 2005–2010. However, this equalizing channel weakened over time as market valuation (wage exposure) became increasingly unfavorable to female-concentrated occupations, contributing to a renewed widening in 2015–2019. Ultimately, while residual within-task group dynamics dominate the gap’s magnitude, task-based employment and wage channels remain critical in structuring the timing and directional shifts of gender inequality in the formal sector. Full article

Background: Environmental, social, and governance (ESG) practices have evolved from regulatory requirements to strategic drivers of competitiveness and long-term value creation, particularly in road freight logistics, where environmental impacts, greenhouse gas emissions, labor relations, and stakeholder transparency are critical. Methods: This study identifies and systematizes ESG-related critical performance factors in road logistics by combining a systematic literature review with an analysis of sustainability reports from Brazilian road freight logistics companies. Academic findings and market practices were compared to support the development of an integrated ESG monitoring and assessment dashboard. Results: The findings reveal limited standardization in sustainability monitoring and control practices, with convergence observed around a restricted set of critical performance factors across companies. Conclusions: Based on these results, a unified theoretical dashboard integrating the three ESG dimensions into structured criteria and performance indicators is proposed. The model contributes to a more systematic assessment of ESG maturity and offers a theoretically grounded framework to support sustainability monitoring and managerial decision-making in road freight logistics. Full article

Timely labor market monitoring is essential for policy design and operational planning, yet annual reports can mask turning points and subgroup heterogeneity. This paper develops a reproducible monitoring and prediction framework using administrative statistics from the General Organization for Social Insurance (GOSI) in the Saudi Open Data Portal. We document descriptive patterns in formal participation and insurable wages, including age-group dispersion, stable correlation structure, and explicit handling of an anomalous wage release and limited missing wage entries. We then formulate from non-salary administrative descriptors. Under leakage control, Random Forest models achieve accuracy around 0.71 across releases. Most errors are concentrated between adjacent wage bands, which is consistent with threshold discretization of a continuous wage distribution. To support operational deployment, we add out-of-time validation across releases and probabilistic assessment, showing that predictive skill transfers across updates and that calibration improves the reliability of probability scores for monitoring thresholds. Overall, the results indicate that administrative releases contain persistent actionable signals for wage segmentation without salary-derived inputs, supporting forecasting-oriented surveillance and early-warning dashboards. Full article

Academia has undergone significant changes recently, such as financial cuts, restructuring, new management policies, precarious employment, and rapid technological advancement. We argue that these shifts can lead to organizational anomie, characterized by deregulation and a breakdown of academia’s normative structure, impacting teaching, learning, and research. In Norway, we conducted qualitative individual interviews with academics (n = 12) and two group interviews with students (n = 13) to explore whether they perceive their academic environment in terms of organizational anomie. Staff participants see the academic environment as transformative but increasingly shaped by economic rationality. They also see a conflict between academic ideals and current work designs and practices, which are highly gamified, reliant on quantified performance measures, and dependent on external funding. They view these changes negatively, casting doubt on whether universities can still fulfil their mission in pursuit of independent critical inquiry. Students report a mismatch between expectations and reality, with some viewing academia instrumentally as a platform to the labor market, reflecting governmental policies to promote employability as a key goal of higher education. Others regard academia as a space for critical inquiry. Although the focus group discussions ultimately converged on the university’s norms and values being a space for critical inquiry, both groups expressed dissatisfaction that the current system fails to fully meet either of these goals. These findings are discussed in light of our understanding of organizational anomie in academia. Full article

As the European population ages, the sustainability of pension systems faces a trilemma: the structural conflict between achieving benefit adequacy, fiscal stability, and labor market flexibility. This study investigates the primary research hypothesis that these three objectives involve trade-offs under current institutional designs. We examine the structural interrelationships between economic development, population health, and institutional pension characteristics across the EU’s 27 member states. Using cross-sectional data from Eurostat and the OECD from 2023, the study employs a multivariate framework, including Multiple Factor Analysis (MFA) and Principal Component Analysis (PCA), to visualize latent trade-offs. Non-parametric statistical tests were applied to validate structural differences between the Nordic, Continental, Southern, and Central and Eastern European (CEE) welfare regimes. The paper’s central argument is that pension sustainability is less a demographic inevitability and more a path-dependent result of institutional “exit cultures” and regional health-wealth traps. The analysis explains 56.7% of the total variance across two primary dimensions, revealing a persistent east–west divide where GDP per capita and Healthy Life Years (HLYs) at age 65 are strongly coupled. Additionally, the analysis identified a fundamental sustainability trade-off: countries with higher pension expenditures and replacement rates, such as those in the Southern and Continental clusters, have significantly earlier labor market exit ages. Statistical evidence shows that the gender pension gap is the most significant factor in differentiating welfare regimes, with the CEE region showing significantly lower inequality than the Western cluster. Ultimately, the findings contribute to public administration literature by demonstrating that policy interventions must prioritize addressing the culture of early retirement in Western countries and the health-wealth trap in Eastern countries to ensure long-term viability. Full article

Green financial inputs (GFI) play an important role in promoting green innovation in the manufacturing industry, and accurately evaluating GFI utilization efficiency and its industry heterogeneity is crucial for optimizing green resource allocation. To address this, this study applies a three-stage Data Envelopment Analysis (DEA) model, using panel data of 29 Chinese manufacturing sectors from 2011 to 2024. This model eliminates the interference of environmental factors and statistical noise via the Stochastic Frontier Analysis (SFA) in the second stage, thus obtaining more reliable efficiency evaluation results. The empirical results show that: (1) GFI can effectively improve manufacturing green innovation efficiency (GIE), but the overall utilization efficiency remains at a low level; (2) there exists significant industry heterogeneity, with technology-intensive industries performing best in GFI utilization efficiency, followed by capital-intensive industries, and labor-intensive industries the worst; (3) environmental regulation and green financial market environment significantly improve GFI utilization efficiency, while government green finance support and market structure have no significant effects on it; (4) after eliminating external disturbances, the real GFI utilization efficiency tends to be stable, and the efficiency decline in 2023–2024 is mainly caused by external shocks. Corresponding targeted implications are put forward to optimize GFI allocation and promote balanced green development of China’s manufacturing industry. Full article

The digital nomad economy—the ecosystem in which professional skills are traded through online platforms independent of geographic co-location—dynamically recombines skills into project-based portfolios with absent firm-level hierarchy. Yet it remains shaped by platform taxonomies, interfaces, and ranking/recommendation incentives. This study examines the emergent structure within this setting using the Semantic-Structural Systems Analysis (S²SA) framework, which integrates LLM-assisted skill extraction, transformer-based semantic embeddings, and multi-layer network analysis. We analyze a dual-source dataset comprising approximately 50,000 public Upwork profiles from a top-rated/high-earning segment (January–March 2023) and 2.0 million Reddit posts and comments (2018–2023) from remote-work and digital-nomad communities. The resulting skill network exhibits a pronounced core–periphery organization and modular “skill ecotopes” corresponding to coherent functional specializations. In predictive models of skill-level effective hourly rates, semantic brokerage and semantic diversity function as robust predictors of higher rates, significantly outperforming popularity-only baselines. Longitudinal discourse analyses surrounding the COVID-19 pandemic and the generative AI shock reveal rapid attentional shifts followed by the emergence and recombination of new skill clusters. We interpret these results as evidence consistent with constrained self-organization in platform-mediated labor markets. To support replication, prompts, parameters, and robustness checks are fully reported. Full article

Artificial intelligence (AI) is profoundly reshaping labor market structures and occupational value evaluation systems. As a core group about to enter the workplace, university students’ perceptions of occupational social status are crucial for their career development and the alignment between education and the labor market. Study 1 explores how layoff risks and AI as a threat shape status evaluation. Study 2 investigates how AI’s role in jobs alters perceptions of status indicators and cognitive work type. The results show that students primarily attribute occupational social status to personal ability and organizational hierarchy rather than AI; A more positive attitude toward AI is associated with a greater propensity for pursuing routine cognitive occupations in the future; AI exerts an inverted U-shaped influence on occupational status indicators, with non-routine cognitive occupations experiencing an earlier decline in status but still maintaining higher ratings than routine cognitive occupations. These findings indicate that university students hold an overall positive yet contradictory attitude toward AI’s impact on occupational social status, which is inconsistent with actual employment trends. Therefore, researchers and policymakers should provide more comprehensive guidance to help students understand and adapt to AI-driven changes. Full article

To achieve the “dual carbon” goals, the management and control of the construction sector’s embodied carbon is crucial, as it is a key field of carbon emissions. This study focuses on the entire process of building structural design, construction and procurement, and building material production and trading. Based on the principles of system dynamics, it constructs a building embodied carbon analysis model consisting of three subsystems: building structural design, production, and building material market. The core elements of each subsystem and their interaction relationships are clarified, and the model variables and parameters are defined. Through multi-scenario simulation analysis, the influence mechanisms of key factors such as different building heights, seismic influence coefficients, expected project costs, and carbon reduction policies on building embodied carbon are explored. The results show that building height and seismic influence coefficients have significant impacts on material consumption during the building structural design stage, with building height exerting a more prominent driving effect; increasing the prefabrication rate can improve construction efficiency, shorten the construction period, reduce construction carbon emissions, and simultaneously balance the current pressure of rising labor costs; and carbon reduction policies guide market demand, prompting low-carbon building material manufacturers to expand R&D investment and production capacity, forming a positive cycle of “demand growth—cost reduction—market expansion”. In contrast, conventional building materials are affected by tightened carbon quotas and rising carbon prices, leading to a continuous shrinkage of their market share and gradual withdrawal from the market, ultimately realizing overall carbon reduction in the industry. The system dynamics model constructed in this study provides a scientific analysis framework for the full-process management and control of building embodied carbon, reveals the key influencing factors and evolution laws, and offers theoretical support and practical reference for the precise management and control of building embodied carbon and the formulation of carbon reduction pathways. Full article

Public cultural services are traditionally viewed as welfare provisions. However, this perspective overlooks their productive externalities as critical social infrastructure. This study treats China’s National Public Cultural Service System Demonstration Zone program as a quasi-natural experiment to examine its economic performance. The analysis utilizes panel data from 280 prefecture-level cities between 2008 and 2021 and employs a multi-period difference-in-differences model. Results show that the policy successfully increased employment in the cultural sector. This was achieved by enabling flexible labor opportunities through digital platforms and government procurement, rather than through significant growth in formal enterprises. We term this structural divergence De-organized Growth. Mechanism analysis confirms that Fiscal-Digital Synergy drives this phenomenon. Effective collaboration between government funding and digital technology activates cultural consumption on the demand side and facilitates disintermediation on the supply side. Crucially, we identify a nonlinear Digital Exclusion Trap. In this trap, fiscal support is ineffective or even counterproductive in regions falling below a critical digital infrastructure threshold. The findings suggest that the equalized provision of public culture serves as a productive input for achieving UN Sustainable Development Goal 8 regarding decent work. We advocate for a shift in governance paradigms from traditional administration to a strategic purchaser role. This role leverages digital platforms to foster a more inclusive labor market. Full article