Search Results (879)

The study examines the relationship between Corporate Social Responsibility (CSR) adoption and firms’ future CSR investment, with a particular focus on the mechanisms and conditions that shape this relationship, drawing on the business case perspective and the resource-based view. A quantitative research design was employed using survey data collected from 568 business executives in Greece. Structural Equation Modeling (SEM) was applied to test the proposed relationships. The findings indicate that CSR adoption has a significant positive impact on future CSR investment, confirming that CSR engagement evolves into a sustained strategic commitment. Perceived benefits are found to play significant mediating roles, suggesting that firms increase future CSR investment when they recognize the value generated by CSR. In contrast, institutional barriers negatively moderate this relationship, weakening the effect of CSR adoption. The study demonstrates that the continuation of CSR investment is driven by internal reinforcement mechanisms and external conditions rather than purely by financial constraints. It offers empirical evidence that CSR adoption initiates a self-reinforcing process supported by perceived value decisions. The findings provide practical insights, emphasizing the importance of strengthening institutional frameworks and enhancing the perceived benefits of CSR to foster long-term investment in sustainable business practices. Full article

Whether information consumption guides firms back to their core businesses or instead exacerbates corporate financialization remains empirically underexplored. We use panel data of Chinese A-share listed firms from 2009 to 2024. We take China’s Information Consumption Pilot policy as a quasi-natural experiment and employ a staggered difference-in-differences approach to examine the impact of information consumption on corporate financialization. The findings show that information consumption significantly promotes corporate financialization, with the precautionary motive driving financialization more strongly than the profit-seeking motive. Mechanism tests reveal that information consumption drives corporate financialization by easing financing constraints and improving investment efficiency, while internal corporate governance and external economic policy uncertainty play significant moderating roles. Heterogeneity analysis indicates that the exacerbating effect of information consumption on corporate financialization is more pronounced in non-state-owned enterprises, small-scale firms, non-high-tech industries, and regions with a low level of financial development. Further analysis shows that information consumption not only exacerbates excessive corporate financialization but also triggers peer effects in financialization. Moreover, the financialization induced by information consumption suppresses long-term corporate performance growth. These findings uncover the micro-mechanisms through which information consumption reshapes corporate capital allocation decisions, offering practical implications for refining information consumption policies and channeling financial resources back to the real economy. Full article

As core structural components for deep-sea oil and gas exploitation, deep-sea risers are continuously subjected to wind, wave, and current loads, which readily induce vortex-induced vibration (VIV) and further trigger structural fatigue damage. Furthermore, the progressive exploitation of deepwater and ultra-deepwater oil and gas resources has exacerbated the complexity and risk of riser VIV, rendering it a critical engineering problem that urgently requires effective solutions. This paper presents a comprehensive review of numerical studies on deep-sea riser VIV, systematically elaborating the fundamental principles, research advances, and application scenarios of three mainstream numerical approaches: semi-empirical models, computational fluid dynamics (CFD) models, and computational structural dynamics (CSD) models. The respective accuracy advantages and inherent limitations of each numerical method are thoroughly analyzed. Additionally, this review focuses on key research hotspots and challenging issues, including VIV responses of flexible risers, dynamic fluid–structure boundary coupling, internal–external flow coupling effects, wake interference of multi-riser systems, efficient VIV prediction, and vibration suppression optimization. The current technical bottlenecks in existing research are clarified. This study aims to provide a systematic theoretical framework and methodological reference for subsequent numerical investigations and engineering applications of riser VIV, and offer technical support for the optimal structural design and safety risk prevention of deep-sea riser systems. Full article

Against the coordinated advancement of building a maritime power, high-quality development of marine tourism and ecological civilization construction, realizing positive interaction between marine resource conservation and tourism industrial development has emerged as a pivotal issue for high-quality growth in coastal regions. Taking 11 coastal provincial-level administrative regions in China spanning 2008 to 2024 as the research sample, this paper first establishes an evaluation indicator system covering marine resources and the tourism industry. It further adopts an integrated empirical framework encompassing the coupling coordination degree model, spatial Markov chain model, obstacle degree model, fixed-effect model and geographically and temporally weighted regression (GTWR) model to systematically unpack the spatiotemporal differentiation characteristics, internal restrictive obstacle factors and external driving determinants of the two-system coupling coordination. On this basis, a marine resource compensation mechanism for tourist destinations is formulated. Empirical results demonstrate four core findings: (1) In terms of temporal evolution, the overall coupling coordination level keeps rising and goes through three phases: initial development, rapid improvement and post-shock recovery. After a short-term decline triggered by the pandemic, the index rebounds markedly after 2023, showing that the two systems can recover and stabilize. (2) In terms of spatial layout, a persistent stratified spatial pattern featuring “higher coordination in southern coast versus lower coordination in northern coast with three-tier hierarchical differentiation” is identified; high-level neighboring regions exert prominent positive spatial spillover effects, whereas low-level adjacent areas are prone to fall into development lock-in traps. (3) For internal constraint obstacles, the marine resource subsystem is persistently restricted by resource exploitation limits and coastal spatial scarcity, while the dominant bottleneck of the tourism industrial subsystem shifts from insufficient market scale to inadequate human capital supply. (4) Regarding external driving forces, the proportion of tertiary industry and the digital infrastructure constitute core driving contributors, whereas marketization progress and opening-up degree act as primary restrictive factors, with pronounced spatial heterogeneity existing across all driving indicators. Finally, in line with the quasi-public-good attribute and ecological externality of marine resources, this study constructs a differentiated and synergistic marine resource compensation mechanism from three dimensions: stakeholder identification, compensation implementation pathways and institutional guarantee systems. The proposed framework provides theoretical references and practical policy options to facilitate high-level coupling and coordinated development between marine resource preservation and the coastal tourism industry. The marginal contribution of this research lies in integrating coupling coordination measurement, obstacle factor diagnosis, driving mechanism identification and compensation mechanism design into an integrated analytical framework, which delivers theoretical foundations and operable policy solutions for coastal marine resource protection, tourism industrial upgrading and differentiated compensation system construction. Full article

To promote the sustainable development of agriculture and reduce resource waste, this paper investigates sustainable financing strategies for a green fresh agri-food supply chain. We employ a purely theoretical Stackelberg game model and numerical simulations based on hypothetical parameters to develop three financing models for a supply chain consisting of one capital-constrained farmer and one retailer, considering consumers’ dual sensitivity to product freshness and greenness. Analytical and numerical results reveal that: (1) with low financing rates, internal financing effectively alleviates under investment in preservation, leading to higher wholesale/retail prices. In a green-sensitive market, the resulting price premium compensates for cost increases, avoiding the “low quality–low price” trap under external financing. (2) The retailer’s total profit decreases as the internal financing rate rises; higher interest income cannot offset demand loss caused by reduced preservation effort. Thus, a low- or zero-interest strategy maximizes the retailer’s operational profit. (3) As consumer sensitivity to freshness and greenness increases, profit growth under internal financing displays convexity. However, under extremely high freshness sensitivity, external financing yields stronger marginal incentives, suggesting that retailers should adjust profit allocation in the high-end market. The findings provide theoretical guidance for financing mode selection and practical insights for promoting green agricultural sustainable development. Full article

The Easterlin paradox and recent distributional reassessments suggest that average effects obscure how subjective disadvantage is generated and reproduced over time. We propose the Social Comparison System (SCS), a framework that represents subjective well-being (SWB) as an internal state and relative income rank as an external conditioning variable within a feedback structure, with three structural properties: threshold activation, state-dependent gain, and rank-conditioned attractor displacement. The properties are recovered through a sample-isolated three-stage framework integrating tree-based machine learning, forest-based heterogeneity estimation, panel-data estimation, and hierarchical Bayesian Markov modeling on a balanced four-wave panel of the China Family Panel Studies (CFPS; 8099 individuals; 32,396 person-wave observations). Stage 1 locates a discrete predictive discontinuity in relative income rank between rank 2 and rank 3 (SHAP jump = 0.383, permutation p < 0.001). Stage 2 carries this boundary into a disjoint validation panel and recovers a negative rank-by-prior-SWB interaction (β = −0.036) and a 2.30-fold larger conditional effect in low- than in high-prior-SWB strata. Stage 3 recovers a 22.6-percentage-point gap in the rank-conditioned occupancy of the lowest within-wave SWB quartile between low- and high-rank subsystems, which under a first-order Markov approximation corresponds to a long-run stationary gap, robust to alternative state-space discretizations. Throughout this paper, relative income rank is treated as a conditioning variable, and the rank-conditioned patterns are interpreted as associational; the long-run quantities are reported under a first-order dynamical approximation rather than as identified causal or fully validated long-run effects. Persistent subjective disadvantage is therefore characterized by unequal dynamics of activation, amplification, and escape, rather than by unequal resources alone. This reframing provides a methodological template for identifying rank-conditioned feedback structures in social-systems data. Full article

As sustainable finance continues to advance, an important question is how scientifically designed and well-targeted policies can curb corporate ESG greenwashing and improve the quality of firms’ ESG and sustainability disclosure. From the perspective of fiscal–financial policy coordination, we exploit the green loan interest subsidy policy (GLIS) as a quasi-natural experiment and develop an analytical framework around four policy components: commercial banks’ information screening, local governments’ green screening, the subsidy instrument’s leverage and certification effects, and firms’ internal green governance. Within this framework, we examine whether the GLIS can restrain corporate ESG greenwashing. Using Chinese listed firms from 2009 to 2022 as the sample and identifying the effect through a multi-period difference-in-differences (DID) model, we find that the GLIS significantly curbs corporate ESG greenwashing. In exploring the underlying channels, we find that the GLIS curbs corporate ESG greenwashing by strengthening commercial banks’ information screening, enhancing local governments’ green screening, easing firms’ external financing constraints, and reinforcing firms’ internal green governance. Further analysis indicates that the inhibitory effect of the GLIS on corporate ESG greenwashing is more pronounced among non-state-owned firms, firms in the growth stage, firms in heavily polluting industries, and firms located in regions with weaker resource endowments. In addition, the stronger a firm’s digital technology R&D capability and corporate governance capability, the greater the restraining effect of the GLIS on its ESG greenwashing. By systematically evaluating the governance effect of fiscal–financial policy coordination on corporate ESG greenwashing, our study provides useful insights for governments seeking to improve green finance policies and optimize the coordination of green policy instruments. Full article

Against the backdrop of the growing prevalence of social anxiety among college students, it is of great significance to explore the internal and external protective resources of college students to prevent and buffer social anxiety. Resilience, as an important protective psychological trait, is closely associated with social anxiety. However, how resilience functions through internal and external resources of psychological flexibility and perceived parental emotional support remains to be systematically explored. Based on the stress and coping theory and related research, this study constructed a moderated mediation model. It aimed to examine the relationship between resilience and social anxiety among college students, as well as the mediating role of psychological flexibility and the moderating role of perceived parental emotional support. A cross-sectional survey was conducted among 1713 college students using a questionnaire survey method. The results showed that resilience negatively and significantly predicted college students’ social anxiety, with psychological flexibility playing a mediating role. Perceived parental emotional support moderated the relationship between resilience and psychological flexibility, as well as the relationship between resilience and social anxiety. Specifically, perceived parental emotional support strengthened the positive predictive effect of resilience on psychological flexibility, while also enhancing the direct negative predictive effect of resilience on social anxiety. This study reveals the internal mechanism through which resilience is associated with college students’ social anxiety, providing empirical evidence and practical implications for mental health education and intervention. Full article

Aligned with Saudi Arabia’s Vision 2030, which emphasizes sustainability, innovation, and economic diversification, this study investigates how green innovation (GI), organizational learning (OL), and regulatory pressure (RP) influence sustainability performance (SP) among small and medium-sized enterprises (SMEs). Additionally, addressing a key theoretical gap, this study examines OL as a mediating mechanism and RP as a moderating factor in the GI–SP relationship, an area rarely explored in emerging economies. Grounded in the Resource-Based View and Dynamic Capabilities Theory. Methodology: This study adopts a quantitative, cross-sectional design and gathers data from 386 SME employees across Saudi Arabia using validated survey instruments. SPSS analysis revealed that GI significantly improved SP both directly and indirectly via OL, highlighting the critical role of internal learning capabilities. Furthermore, RP positively moderates the effect of GI on SP, indicating that supportive regulatory environments can amplify the benefits of innovation for sustainability outcomes. This study contributes to the literature by integrating internal capabilities and external pressures into a cohesive framework for understanding sustainability. Empirically, it offers fresh insights into the under-researched SME sector in Saudi Arabia. Practically, the findings provide valuable guidance for managers and policymakers to promote sustainability through enhanced learning culture and well-structured regulatory frameworks. Full article

International accreditation has become an important reference point for quality assurance in higher education; however, its relevance depends on how global standards are interpreted and adapted to local institutional contexts. This study analyzes institutional stakeholders’ perceptions of an international accreditation process, with the aim of examining how global standardization interacts with local relevance in quality assurance. A quantitative, descriptive, cross-sectional study was conducted with 408 participants linked to a university degree program, including students, graduates, faculty members, administrative staff, and authorities. Data were collected using a 49-item questionnaire developed from the evaluation criteria of an international accreditation manual and adapted to the institutional context. Descriptive and nonparametric inferential statistics were applied. The results indicate: (a) an overall positive assessment of the quality model implemented; (b) comparatively higher ratings for management- and resource-oriented dimensions; (c) comparatively lower ratings for pedagogical dimensions; (d) no statistically significant differences across stakeholder profiles, suggesting a broadly shared interpretation of the accreditation process; and, (e) statistically significant but small gender differences, which should be interpretated cautiously. The findings suggest that international accreditation is perceived as contributing to transparency, comparability, and external recognition, although its value depends on the extent to which standardized frameworks remain sensitive to pedagogical and contextual realities. Full article

(1) Background: Student burnout, widely regarded as a form of “hidden dropout” among adolescents, is associated with lower educational quality and mental health. Grounded in the Study Demands–Resources (SD–R) and Conservation of Resources (COR) theories, this study investigates the relationship between school-based resources, family dynamics, and personal resources by examining how teacher emotional support is associated with burnout through family cohesion and meaning in life; (2) Methods: a moderated mediation model was tested using a sample of 1224 adolescents (Mage = 14.27, SD = 1.72; 48% female); (3) Results: Analysis revealed that: 1. Teacher emotional support significantly and negatively predicted student burnout (β = −0.28, p < 0.001). 2. Family cohesion partially mediated this relationship, accounting for 36% of the total effect. 3. Meaning in life significantly moderated both the direct path and the second half of the mediation pathway (family cohesion → burnout). Notably, meaning in life was associated with a stronger negative association between teacher emotional support and student burnout, but a weaker negative association between family cohesion and student burnout, a pattern consistent with differential resource utilization; (4) Conclusions: These findings suggest a differentiated pattern of resource interplay: school-based emotional resources may connect to family-based relational resources, and the protective role of each external resource may be further moderated by adolescents’ internal meaning systems. These findings highlight the agentic role of adolescents in resource management and point to the value of multi-system interventions. Full article

Open innovation has become a central framework for explaining how firms access, integrate, and exploit knowledge beyond organizational boundaries. However, the conditions shaping its adoption by small- and medium-sized enterprises remain insufficiently understood, particularly in Latin American contexts. This study examines the determinants of open innovation adoption in Colombian SMEs and develops an analytical model that integrates six explanatory dimensions: external partnership and cooperation, government support, rules and regulatory factors, market and customer factors, organizational and human resource factors, and technological factors. Empirically, the study combines an exploratory qualitative phase, based on semi-structured interviews with SME managers in Bogotá, D.C., with a quantitative phase using survey data from 319 SMEs operating in ISIC 6201 and 6202. The hypotheses were tested using partial least squares structural equation modeling. The results show that technological factors have the strongest direct association with open innovation adoption, followed by government support and external partnership and cooperation. Market and customer factors, as well as organizational and human resource factors, also exert positive and significant effects, whereas rules and regulatory factors do not show a significant direct effect. Additional analyses indicate that organizational and human resource factors partially mediate the relationship between technological factors and open innovation adoption, while a complementary moderation test does not support an interaction-based effect. These findings suggest that open innovation adoption in SMEs is technologically enabled, partially translated through organizational and human resource capabilities, and shaped by a configuration of relational, institutional, market-based, and internal conditions rather than by any single determinant. Full article

Sustainable water resource management in arid and transboundary-dependent regions requires that hydrological assessment be integrated with institutional governance analysis. This study provides a comprehensive hydro-institutional evaluation of water sustainability in Kazakhstan using a multi-source empirical framework. The analysis is based on international and national datasets (FAO AQUASTAT, World Bank, national statistics for 2010–2024) and incorporates key indicators, including per capita renewable water resources, sectoral withdrawal structure, transboundary dependence, and water stress. In addition, a Water Sustainability Composite Index and a Regional Vulnerability Index were developed to capture system-wide sustainability and spatial heterogeneity. The results show that Kazakhstan possesses moderate renewable water availability (approximately 5411 m³ per capita per year), yet exhibits significant structural vulnerability due to high transboundary dependence (40.64%), dominant agricultural water use (≈57%), and infrastructure inefficiencies (25–35% losses). Regional analysis reveals substantial disparities, with southern irrigation-dependent regions demonstrating higher vulnerability compared to resource-abundant eastern basins. Elasticity analysis indicates that improvements in irrigation efficiency have a substantially greater impact on sustainability than equivalent changes in transboundary inflows, highlighting the dominant role of internal system performance. The findings suggest that water sustainability in Kazakhstan is primarily constrained by governance effectiveness and efficiency limitations rather than absolute resource scarcity. This study contributes to the literature by integrating quantitative hydrological indicators with institutional analysis through a composite modeling framework, demonstrating that internal system efficiency—particularly irrigation performance—has a significantly greater influence on sustainability outcomes than external hydrological variability. The proposed approach provides a transferable methodology for assessing water sustainability in semi-arid and transboundary contexts. Full article

Artificial intelligence (AI) is increasingly adopted by small and micro-enterprises to enhance international competitiveness. However, limited research examines how internal AI capability and external AI tool utilization jointly shape export performance. Drawing on the resource-based view and digital resource configuration perspective, this study conceptualizes internal AI capability and external AI tool utilization as distinct but potentially overlapping AI-related resources. Using survey data from 475 exporting small and micro-enterprises in Yiwu International Trade City, we conduct regression analyses to investigate the individual and interactive effects of these two AI-related resources on export performance. The results indicate that both internal AI capability and external AI tool utilization positively affect export performance. Importantly, their interaction is negative and significant, suggesting diminishing marginal returns when both resources are highly developed. This finding indicates that overlapping AI-related investments may reduce each resource’s incremental contribution under resource-constrained conditions. By clarifying how internally developed AI capability and externally accessed AI tools interact in export settings, this study advances understanding of digital resource configuration and provides practical guidance for AI-related investment decisions in small firms. Full article

In this essay, hope is presented as a key driver of psychiatric and psychotherapy outcomes, helping clients move beyond symptom relief toward meaning, resilience, and flourishing. The text integrates goal-based models with relational, narrative, and cultural dimensions. Drawing on the “standard account,” the author proposes that hope is the interplay of wishing for a valued good, believing its attainment is possible (though difficult), and trusting internal and external resources, including the therapeutic alliance. A vignette of Susanne, a young woman with partial dissociative identity disorder, illustrates how psychoeducation and small wins increase belief, while a consistent therapeutic alliance builds trust that extends to self-trust and cooperation. Clinicians play a central role as “hope carriers,” shaping realistic goals, reinforcing progress, and avoiding false hope. Full article