This study examined the mediating role of policy in the relationship between improvement in construction waste management and effectiveness of construction and demolition waste (C&DW) management in Malang City, Indonesia. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) with data from 48 construction companies, this research investigated how policy frameworks translated improvement initiatives into sustainable waste management outcomes. Improvement in construction waste management was measured by four phases (planning, design, construction, and operation), policy through four instruments (regulation, incentive, reward-sanction, and standard), and C&DW management through triple bottom line dimensions (economic, social, and environmental). Results revealed that improvement in construction waste management significantly influenced policy formulation (β = 0.761, p < .001, f² = 1.374), and that policy substantially affected the effectiveness of C&DW management (β = 0.692, p < .001, f² = 0.950). However, the direct effect of improvement in C&DW management was not significant (β = 0.240, p = .249), indicating full mediation through policy (β = 0.526, p < .001, υ = 0.077). The model explained 78.8% variance in C&DW management with strong predictive relevance (Q² = 0.711). These findings demonstrated that improvement efforts should be channeled through robust policy frameworks to achieve systemic waste management transformation, thus highlighting the critical role of integrated policy instruments in translating operational improvements into sustainable outcomes in developing urban contexts.
Increased agricultural production could improve household income but often generates adverse environmental impacts, including soil degradation, rising temperatures, and drought, thereby contributing to climate change. This study aims to optimize income and carbon emissions in the trade of rice, corn, and cattle commodities in the Indonesia–Timor Leste border region and to assess the performance of integrated sustainable trade among farmers, traders, and processing industries. A Multi-Objective Linear Programming (MOLP) model and Partial Least Squares Structural Equation Modeling (PLS-SEM) were employed for analysis. The findings indicated that increased trade activities could improve economic outcomes while maintaining emissions within manageable limits. Farmer income is projected to increase by IDR 5.779 billion per production season, with improved cost efficiency at approximately IDR 64,000 per acre and maximum emissions of 356,561 tons CO₂e. Traders’ income is expected to increase by IDR 8.526 billion, with maximum emissions of 2,443.241 tons CO₂e and average transport costs of IDR 4,600 per kilometer. Carbon emissions at the farm level primarily stem from inefficient use of fertilizer and land burning, while emissions at the trader level are driven by transport capacity and travel distance. Although processing industries have established direct relationships with farmers, most farmers remain dependent on traders for market access. Strengthening the capacity of processing industries in the border region is therefore considered essential for maximizing farmers’ income.
The aim of the submitted scientific article is to identify significant predictors of the sense of safety at the university and to compare their differences between the male and female populations of respondents. The empirical research was conducted in 2024 at Alexander Dubček University of Trenčín, with the participation of 358 respondents. Data were collected through an online questionnaire containing statements rated on a 5-point Likert scale, examining factors associated with informational influences, subjective concerns, and reflection on the Prague incident of December 2023. Descriptive statistics, correlation analysis, and multiple linear regression methods were used for analytical processing at a significance level of α = 0.05. The results showed that among women in this sample, the sense of safety was significantly associated with concerns about potential threats (X3) and the role of the incident at the Faculty of Arts of Charles University in Prague (X5). Among men in this sample, only factor X5 was confirmed as a key determinant, with its association being stronger than in women. Correlation analysis also indicated different patterns of perception—female respondents in this sample showed a higher sensitivity to subjective concerns, whereas male respondents in this sample appeared to respond more strongly to external security events. These findings confirm the importance of gender differences in shaping the sense of safety in the academic environment and highlight the need for targeted communication and security measures on the part of universities.
Despite increasing attention to inclusive education, sustainability transitions under the Industry 5.0 paradigm remain constrained by the limited integration of socio-cultural barriers affecting marginalised groups. This study examines how harmful cultural practices (HCPs) and socio-economic conditions are associated with education access among 467 ethnic minority youth engaged in agri-startups, contributing theoretically by linking social norms and human capital perspectives within sustainability transition frameworks. A mixed-methods approach combining regression analysis and the Analytic Hierarchy Process (AHP) is employed to capture both statistical relationships and priority-setting mechanisms. The regression results indicate that early marriage (-0.171), gender bias (-0.199), and restrictive religious norms (-0.127) are associated with lower education access, while household income shows a significant positive association (0.722); the model is statistically significant with acceptable explanatory power (R² = 0.315; Adjusted R² = 0.280). The AHP results, based on expert evaluation, demonstrate consistent judgments (CR = 8.120%) and identify personal factors (0.341), particularly HCP awareness, as the highest priority, followed by socio-economic conditions (0.310), education and skills (0.212) and cultural–community factors (0.141). These findings suggest that although economic capacity is a dominant enabling factor, individual agency and behavioural change are critical for reducing harmful practices and improving access to education. However, education access reflects both actual and perceived opportunities due to infrastructural constraints in remote areas. Although the study is limited to data from marginalised youth in agri-startups, the findings highlight that education functions as a key enabling condition linking cultural transformation and livelihood improvement, offering policy-relevant insights for designing inclusive, human-centred education systems to support future-oriented Industry 5.0 transitions.
This study developed a sustainability-based governance model for Village-Owned Enterprises (VOEs) to support the acceleration of sustainable development at the village level. Weak governance structures, limited human resource capacity, and insufficient integration of sustainability values continue to constrain VOE effectiveness as drivers of local economic development. Having used the Analytic Hierarchy Process (AHP), this study evaluated five governance criteria: Human resource capacity and quality, transparency and accountability, collaboration and partnership, environmental commitment, as well as community participation and empowerment, across six sustainability-oriented VOEs. The results indicated that human resource capacity and quality constituted the highest priority (weight 0.3333), followed by transparency and accountability (0.2667) and cross-sector collaboration (0.2000). Although environmental commitment and community participation received lower priority weights, evidence from a qualitative study demonstrated that these dimensions played a critical role in strengthening socio-ecological resilience. Empirical cases from Ponggok and Kenteng VOEs showed that water conservation initiatives and waste management innovations were essential to sustaining long-term economic performance. Overall, the findings suggested that effective VOE governance extended beyond administrative functions toward a transformative model that integrated institutional capacity, social legitimacy, and environmental stewardship. This governance framework positions VOEs as socio-ecological actors contributing to the achievement of Sustainable Development Goals (SDGs), thus highlighting sustainability-oriented governance as a strategic prerequisite for resilient village development in the context of green transition.
Cleaner production (CP) has evolved from a regulatory obligation into a strategic management approach that supports firms’ transition toward sustainable competitiveness. This study examines how cleaner production practices move beyond compliance-oriented environmental management to become strategic capabilities associated with stronger innovation orientation, operational efficiency, and corporate legitimacy. Drawing on the Natural Resource-Based View (NRBV) and the Porter Hypothesis, this research employs a multiple-case qualitative content analysis of six energy-intensive firms—Enerjisa, Tüpraş, Şişecam, Enel, E.ON, and TotalEnergies—for the 2020–2024 reporting period. The findings identify a three-stage evolutionary trajectory of cleaner production integration: compliance-driven, efficiency-driven, and strategy-driven. Firms that move toward strategic integration tend to exhibit stronger dynamic and organisational capabilities and clearer strategic positioning in sustainability-oriented decision-making. European multinationals demonstrate more holistic and mature integration due to stable policy frameworks and access to sustainable finance, whereas emerging-economy firms primarily leverage cleaner production for efficiency gains and regulatory compliance. The study contributes to theory by conceptualising cleaner production as a dynamic strategic capability rather than a technical or operational tool and by providing comparative qualitative evidence consistent with the innovation-competitiveness mechanisms proposed by the Porter Hypothesis across diverse institutional contexts. In practice, the findings offer actionable insights for managers and policymakers seeking to design regulatory, financial, and organisational enablers that accelerate the transition from compliance to strategy, thereby positioning cleaner production as a central pathway through which firms may build sustainable competitiveness. Given the qualitative and document-based design, the study does not claim causal proof but identifies patterned associations across cases and institutional contexts.
This study examines how digital technologies shape green supply chain management (GSCM) in Vietnam’s electronics industry. Using an exploratory qualitative multi-case design, we investigated two leading Vietnamese electronics firms and triangulated evidence from company documents, field observations and 12 semi-structured interviews, including 10 interviews across the two focal firms and two interviews with external experts. Interviewees represented senior management and key functions related to environmental management, production, procurement and technology, with interview duration ranging from 80 to 120 minutes. The cases suggest an internal environmental management-led digitalization pattern in which firms first deploy digital tools for internal environmental monitoring and control and subsequently strengthen greener manufacturing and environmental cooperation, while green procurement and reverse logistics tend to lag when data integration, supplier participation and analytics capabilities remain limited. Digital adoption appears to support operational efficiency, environmental performance, employee capability development, supplier participation and faster Environmental, Social, and Governance (ESG) compliance responses, enabled by real-time sustainability information and reuse practices linked to reverse logistics. However, implementation is constrained by investment costs, skills gaps, fragmented systems and cybersecurity risks, reinforced by uncertain sustainability requirements and weak domestic green demand. The findings provide exploratory multi-case evidence from two leading Vietnamese electronics firms on practice-specific digitalization in an emerging-economy context and propose a staged digital-green capability-building roadmap. The study supports analytical rather than statistical generalization and should be interpreted as theory-building evidence for digital-green supply-chain transformation.
This study aims to evaluate and rank regional agricultural technology competitiveness in East Java, Indonesia, using a structured multi-criteria decision-making approach. Specifically, it addresses four key objectives: (1) to apply the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method to assess and rank regional competitiveness across multiple technological dimensions; (2) to examine whether agricultural technology adoption levels differ significantly across regions using one-way Analysis of Variance (ANOVA); (3) to evaluate the sensitivity and robustness of the ranking results under alternative weighting scenarios through sensitivity analysis and rank correlation measures (Spearman’s ρ and Kendall’s τ); and (4) to derive policy-relevant and system-oriented implications for enhancing competitiveness and reducing regional disparities. The study employs a quantitative approach based on primary survey data collected from 210 farmers across seven regions in East Java. Four key dimensions are considered, namely environmental, irrigation, marketing, and production technologies. The PROMETHEE method is used to generate regional rankings, while ANOVA is applied to test for statistically significant differences in technology adoption. Robustness is further assessed through systematic weight variations and rank correlation analysis. The results reveal substantial regional disparities in relative technological competitiveness, with leading regions demonstrating more balanced, integrated adoption across multiple technological dimensions. ANOVA results confirm that differences in technology adoption across regions are statistically significant (p < 0.01), thereby providing complementary statistical evidence for inter-regional variation in the underlying technology adoption indicators used in the PROMETHEE analysis. The robustness analysis shows that the ranking results are highly stable across most weighting scenarios, with only minor variations observed when marketing-related criteria are emphasized. This study contributes methodologically by integrating multi-criteria decision-making with statistical validation and robustness testing in a unified framework. From a policy perspective, the findings highlight the importance of strengthening market access, improving technological integration, and implementing region-specific interventions to enhance agricultural competitiveness and reduce disparities.
Open Access
News 
Journal Metrics
Journal Overview
Associated Journals