Search Results (1,251)

The concept of sustainable development has emerged as a global consensus, forged in response to environmental constraints and critical reflection on conventional growth-oriented paradigms. It now serves as the overarching framework for addressing climate, ecological, and socio-economic crises. In the period after the adoption of the Sustainable Development Goals (SDGs) in 2016, there was an observable trend of increased integration of these objectives into the strategic frameworks of national and subnational entities. However, global assessments have indicated a divergence between the progress achieved and the trajectory delineated by the SDGs. The Earth system is demonstrating signs of decreased resilience, with widening inequalities and the emergence of multiple crises, thereby hindering the implementation of the 2030 Agenda for Sustainable Development. As the 2030 deadline approaches, a fundamental question arises for global development governance: what should be the future of the SDGs beyond 2030? While insufficient progress has prompted debates over the adequacy of the SDG framework, fundamentally revising or replacing the SDGs would risk undermining a hard-won international consensus forged through decades of negotiation and institutional investment. Based on a comprehensive review of the historical evolution of the sustainable development concept, this study argues that the SDGs represent a rare and fragile achievement in global governance. While insufficient progress has sparked debates about their effectiveness, fundamentally revising or replacing the SDGs would jeopardize the hard-won international consensus forged through decades of negotiations and institutional investments. This study further analyzes the latest progress on the SDGs and identifies emerging risks, aiming to explore how to accelerate and optimize sustainable development pathways within the existing SDG framework rather than propose a new global goal system. Based on both global experience and practice in China, four interconnected strategic priorities—namely, economic reform, social equity, environmental justice, and technology sharing—are proposed as a comprehensive framework to accelerate SDG implementation and guide the transformation of development pathways towards a more just, low-carbon, and resilient future. Full article

Contemporary environmental challenges necessitate the adoption of active learning methods within educational frameworks, particularly those that foster the development of environmental awareness among young people. The 2030 Agenda underscores the importance of project-based learning as a strategy for building the competencies required to achieve sustainable development goals. In this context, the attitudes and behavior of young people towards the environment serve as critical indicators of future social transformations within the sphere of sustainable development. The aim of this research was to determine whether project-based learning in geography, as opposed to traditional teaching methods, exerts a more pronounced influence on the formation of environmental values, attitudes, and pro-environmental behavior among students in their final year of primary school. The research was conducted using a convenience sample (n = 255) and employed pedagogical experimental surveys with parallel group designs. In the experimental group, project-based learning was implemented, whereas the control group continued with traditional teaching approaches. To assess environmental values and attitudes, the research employed a scale grounded in the EAATE framework, and pro-environmental behavior was evaluated using a measurement scale derived from the PEB and GEB scales. The obtained results are attributed to the influence of project-based learning. Although they cannot be generalized to the entire population, they indicate the potential of project-based learning as a more effective strategy in environmental education. Furthermore, these findings provide opportunities for further professional and scientific research in this area. Full article

Global warming has become a top priority on the international environmental policy agenda. The recent rise in CO₂ emissions observed in Türkiye has further emphasized the country’s critical role in addressing climate change. This study aims to estimate Türkiye’s CO₂ emissions through 2030 and identify the key socioeconomic and environmental factors driving these emissions, using multiple linear regression (MLR) and time series analysis methods. Six primary variables are examined: population, gross domestic product (GDP), CO₂ intensity, per capita energy consumption, total greenhouse gas (GHG) emissions, and forest area. This study introduces a new multivariate forecasting framework that integrates time series projections with multiple linear regression and elasticity-based sensitivity analysis, providing novel insight into the relative influence of key emission drivers compared to prior research. The results suggest that, if current policy trends persist, Türkiye’s CO₂ emissions will increase substantially by 2030. Variables such as GHG emissions, energy consumption, and population growth are found to have an increasing effect on emissions, while the limited expansion of forest areas is insufficient to offset this trend. In contrast, the negative correlation between GDP and CO₂ emissions suggests that economic growth can occur in alignment with environmental sustainability. The model’s validity is supported by a high R² (0.99) value and low error rates. The findings indicate that Türkiye must reassess its current strategies and strengthen policies targeting renewable energy, energy efficiency, and carbon sinks to achieve its climate goals. The proposed framework provides a transparent basis for climate planning and policy prioritization in Türkiye. Full article

This study investigates how economic development interacts with sustainability performance in the European Union, focusing on the structural and technological factors that shape progress in the green transition. Using Eurostat data for 27 EU member states over the period 2015–2023, the analysis employs panel econometric models (Pooled Ordinary Least Squares, Fixed Effects, and Random Effects) to explore how circular economy performance, innovation capacity, human capital, and renewable energy use influence environmental and economic outcomes across member states. The results show that R&D intensity and skilled human resources are key drivers of sustainability. Higher levels of circular material use and resource productivity contribute to long-term competitiveness. In contrast, uneven progress in renewable energy deployment points to persistent regional disparities and possible structural constraints that limit convergence. Northern and Western Europe record the strongest advances in innovation and environmental efficiency, whereas Southern and Eastern regions remain affected by industrial legacies and lower absorptive capacity. The findings highlight that, in the short term, renewable energy expansion may involve adjustment costs and potential trade-offs with economic competitiveness in less technologically developed economies. This study provides new comparative evidence on the differentiated pathways of the green transition across the EU. Policy implications suggest the need to reinforce R&D investment, expand circular manufacturing, and support an inclusive technological transition consistent with the European Green Deal and the United Nations 2030 Agenda. Full article

This study identifies key determinants shaping countries’ Sustainable Development Goals performance and develops classification models for predicting country group membership based on the SDG Index. The research addresses the urgent need to optimize development policies amid limited resources and the approaching 2030 Agenda deadline. Using data from 154 countries (2024), the analysis reveals that key SDG determinants are fundamentally method-dependent: discriminant analysis identified Goals 10, 6, 15, and 5 as most influential for differentiating countries by SDGI level, while Random Forest identified Goals 4, 9, and 2 as the most important predictors. This divergence reflects fundamentally different analytical perspectives—linear contributions to group separation versus complex nonlinear interactions and synergies between goals—with critical policy implications for prioritization strategies. Correlation analysis demonstrates that sustainable development dynamics operate differently across development stages: high-development countries show strongest associations with technological advancement and institutional capacity, while low-development countries exhibit compensation effects where basic infrastructure provision occurs alongside lagging human capital development. The discriminant model achieved 94.08% overall accuracy with perfect classification for extreme SDGI categories, while the Random Forest model provides complementary insights into interactive pathways. The scientific contribution lies in demonstrating that perceived variable importance depends on analytical framework rather than representing objective reality, and in providing validated classification tools for rapid assessment in data-limited contexts. These findings offer actionable guidance for evidence-based resource allocation and policy prioritization in the critical final years of SDG implementation. Full article

The COVID-19 pandemic coupled with recent upheavals in global trade and development assistance funding has disrupted routine immunization programmes and diverted health systems from the targets set in the Immunization Agenda 2030. Regulatory systems are often underappreciated or misunderstood but in fact play a critical role in enabling innovation and facilitating timely access to vaccines for sustained immunization, thereby building vaccine confidence and health system resilience. Regulation is the constant denominator throughout the vaccine life cycle, shaping the pathway from early research and development to approval and market entry and ultimately to equitable distribution and sustained safe use. This paper examines the role of regulation and proposes that regulation be reframed as a function of health system resilience and a structural determinant of immunization sustainability. We synthesize evidence across the vaccine regulatory life cycle, examining innovation facilitation, regional cooperation, public health strengthening and describe the roles of regulation in building health system resilience, namely driving sustainable vaccine access, enabling innovation, supporting regional collaboration and strengthening social acceptance. Without this shift in perspective, regulatory systems strengthening risks being underfunded, reactive, and fragmented; this will perpetuate inequities in vaccine access and undermine the sustainability of immunization programmes. Full article

Active biopolymer-based packaging incorporating phytochemicals offers promising sustainable alternatives for reducing postharvest losses and extending food shelf life. This study aimed to advance natural food packaging by (i) developing and characterizing natural deep eutectic solvents (NADES) using choline chloride combined with citric acid (CC-CA), glucose (CC-G), and urea (CC-U); (ii) obtaining bioactive extracts from Uxi bark and Jambolan leaves using these NADES; (iii) formulating babassu mesocarp-based coatings enriched with CC-CA extracts; and (iv) evaluating their application on cherry tomatoes. CC-U exhibited the lowest density (1.152 ± 0.037 g cm⁻³), while CC-G demonstrated the highest viscosity (18.375 ± 0.430 mPa s), and CC-CA presented the lowest polarity parameter (E_NR) value (44.6 ± 0.1 kcal mol⁻¹). Extracts obtained with CC-CA (YU-CA and JL-CA) showed high extraction efficiency, strong antioxidant activity (DPPH inhibition > 95%), and antimicrobial activity, particularly against Pseudomonas aeruginosa. Although the coatings exhibited lower bioactivity than the extracts, they effectively reduced weight loss, maintained firmness, and preserved the microbiological quality of tomatoes for up to 9 days. Sensory analysis of bruschetta prepared with coated tomatoes indicated high acceptance (>80%). Babassu mesocarp-based coatings enriched with Amazonian plant extracts emerge as an innovative active packaging strategy aligned with the 2030 Agenda. Full article

Political trust is essential for implementing the United Nations 2030 Agenda, particularly Sustainable Development Goal (SDG) 16 on building effective, accountable and inclusive institutions. At the same time, there has been a long-standing decline in political trust within democratic countries, which presents a considerable obstacle to the enactment of sustainable development policies. Although prior research has explored the relationship between economic conditions and political trust, evidence on how different dimensions of inequality jointly shape trust remains limited. This study addresses this gap by analysing how economic inequality, regional economic disparities, and subjective income perceptions affect political trust. Using data from the European Social Survey (Round 9), we estimate multilevel models that account for both individual- and country-level factors. The results demonstrate a negative relationship between individual income and political trust, while lower economic inequality strengthens this negative relationship. Our findings highlight that reducing economic inequality is crucial for enhancing political trust, suggesting that governments should prioritize equitable resource distribution and address regional disparities to foster trust in institutions. By integrating subjective well-being with objective economic indicators, this research offers a comprehensive view of how inequality affects political trust across the EU countries and outlines institutional and distributive conditions that support progress toward the SDGs. Full article

This article analyzes the effectiveness of Poland’s central government administration in implementing the 2030 Agenda for Sustainable Development, addressing the context of high-level strategic declarations versus actual policy outcomes. The study employs a qualitative critical document analysis, conducted as comprehensive desk research. This method involves a comparative analysis of official strategic and policy documents (e.g., “Strategy for Responsible Development”) against the empirical findings of external audits from the Supreme Audit Office (NIK), supplemented by national (GUS) and international statistical data. The analysis reveals a fundamental “implementation gap.” While Poland has successfully created a robust strategic and institutional framework, reflected in high international SDG rankings, this success masks deep deficits and stagnation in key areas, particularly in the environmental dimension. Audits consistently confirm systemic problems with inter-ministerial coordination, ensuring adequate financing, and the lack of reliable evaluation for key programs, such as “Clean Air” or the circular economy roadmap. Considering these findings, the study concludes that operational effectiveness does not match strategic declarations. The analysis identifies systemic weaknesses and recommends urgent, targeted strategic actions to bridge the gap between policy and practice, particularly by strengthening coordination and evaluation mechanisms. Full article

Many cities worldwide face decline due to mineral-resource exhaustion, with mining-induced subsidence and land degradation posing urgent land use challenges. At the same time, carbon neutrality has become a global agenda, promoting ecological restoration, emissions reduction, and green transformation in resource-exhausted cities. However, empirical evidence on how carbon neutrality strategies drive land use transition remains scarce. Taking Xuzhou, China, as a case study, we integrate the GeoSOS–FLUS land use simulation model with a Markov chain model to project land use patterns in 2030 under three scenarios: natural development (ND), land recovery (LR), and carbon neutrality (CN). Using emission factors and a land use carbon inventory, we quantify spatial distributions and temporal shifts in carbon emission and sequestration. Results show that LR’s rigid recovery policies restrict broader transitions, while the CN scenario effectively reshapes land use by enhancing the competitiveness of low-carbon types such as forests and new-energy land. Under CN, built-up land expansion is curbed, forests and new-energy land are maximized, and emissions fall by 4.95% from 2020. Carbon neutrality offers opportunities for industrial renewal and ecological restoration in resource-exhausted cities, steering transformations toward approaches that balance ecological function and carbon benefits. Long-term monitoring is required to evaluate policy sustainability and effectiveness. Full article

Rapid advances in digital technologies are reshaping value creation and the trade landscape of global financial services, yet the channels through which they influence the spatial evolution of financial services global value chains (GVCs) remain insufficiently identified. Using a global panel of 52 countries over 2013–2021, we estimate a dynamic Spatial Durbin Model (SDM) to identify overall effects and quantify spatial spillovers and temporal dynamics. We then combine Geographically and Temporally Weighted Regression (GTWR) with spatial mediation models to examine heterogeneity and underlying mechanisms. Our findings show that digital technology significantly drives the spatial evolution of financial services GVCs. Its influence is dominated by spatial diffusion, exhibiting a dynamic pattern of a strong short-run boost followed by long-run reallocation. This dynamic effect is not homogeneous; rather, it reflects a pronounced dual-driver structure: the momentum is more robust when human capital and R&D output reinforce each other, whereas increases in innovation level alone are unlikely to translate into sustained impetus for spatial restructuring. Crucially, digital technologies reshape GVC geography through three core channels: attenuating distance decay, strengthening spatial proximity, and amplifying spatial heterogeneity. These forces deepen the domestic diffusion of knowledge, capital, and technology and extend their spillovers to neighboring and connected economies. The results provide robust empirical evidence on financial geography in the digital era and have clear implications for policies that facilitate cross-border financial services and strengthen regional coordination in support of the 2030 Agenda for Sustainable Development, particularly SDG 8 (financial inclusion) and SDG 10 (global financial governance). Full article

This study investigates how core digital technologies—artificial intelligence (AI) and blockchain—can foster green innovation and sustainable consumption through circular platform design in high-value resale markets. Using Design Science Research (DSR) methodology, including its iterative cycles, we developed and evaluated TRUCE (Trust, Resale Logic, User Centricity, Circular Infrastructure, Ecosystem Governance), a sustainability-oriented digital architecture designed to promote ethical, energy-efficient consumption. TRUCE aims to leverage AI-driven authentication, blockchain-based transparency, and consumer data analytics, aiming to embed circularity and traceability into platform governance. Aligned with the EU Green Deal’s digital agenda, it is intended to support waste reduction, lifecycle extension, and responsible consumption, contributing to Sustainable Development Goal 12 and the broader 2030 Agenda. Full article

Romania faces a double challenge in the swine production sector. On one hand, the European Union’s environmental agenda demands that member states drastically reduce both the carbon footprint and the use of antibiotics in animal husbandry by 2030. On the other hand, the Romanian swine industry still grapples with long-standing internal issues such as excessive fragmentation, a strong dependence on imported piglets and feed materials, and a clear shortage of modern management experience. This study set out to explore how the ADKAR model can serve as a structured approach to help commercial swine farms in Romania transition toward sustainability. To gather relevant data, researchers distributed a five-point Likert-scale questionnaire to 83 farm managers, out of the 361 officially registered commercial swine farms. The instrument was designed to assess how each farm positioned itself across the five ADKAR dimensions. The results revealed that most Romanian farm managers are highly aware of the need for change and show a generally positive attitude toward adopting sustainable practices. However, there remain considerable knowledge gaps and practical limitations, which continue to act as major barriers to effective implementation. The composite ADKAR-S Index, which measures the “sustainability maturity” of each farm, displayed a strong positive correlation with economic performance, particularly the profit margin (r ≈ 0.45, p < 0.001), and a significant negative correlation with antimicrobial use (r ≈ −0.50, p < 0.001). Simply put, farms that are better prepared for organizational transformation tend to perform better financially while also reducing their environmental footprint. The findings suggest that policy efforts should prioritize human capital development, especially through training programs and reinforcement systems such as continuous monitoring and staff incentives, to ensure that sustainable practices are not only adopted but also maintained in the long run. Full article

The rehabilitation of critical water-conveyance infrastructure plays a fundamental role in the water–energy nexus and constitutes a key strategy for extending the operational lifetime of hydropower facilities. These interventions are aligned to the United Nations’ 2030 Agenda, which declare that ensuring access to affordable, reliable, sustainable, and modern energy systems is essential for long-term energy security. This paper presents a field-validated, non-thermal repair methodology developed for the Chivor II hydropower penstock, a critical water conduction tunnel used for energy production in Colombia, that has been affected by a circumferential fatigue crack. Due to the geometric confinement of the penstock within the rock mass, conventional thermal or stress-relief treatments were unfeasible. Therefore, the proposed methodology uses controlled material removal with a welding sequence designed to release stored elastic energy and induce compressive stresses through the Poisson effect. Its main contribution is demonstrated through pilot-scale validation and full-scale implementation under real operating conditions, achieving 50% reduction in tensile stresses and left 99% of the examined surface under compression, which represents effective residual-stress stabilization, structural recovery, and hydraulic reliability. The methodology ensures reliable water conveyance for hydropower generation and can be applied to other pressurized conduits and pipelines where accessibility and heat treatment are constrained, strengthening SDGs 7 and 9 on clean energy, water sustainability, and resilient infrastructure. Full article

This study investigates how artificial intelligence (AI) capabilities shape sustainable entrepreneurship (SE) among small and medium-sized enterprises (SMEs) in emerging economies. Focusing on knowledge management (KM) as a mediator, entrepreneurial orientation (EO) as a moderator, and government policy support (GPS) as an enabler, the research draws upon the Knowledge-Based View, Dynamic Capabilities Theory, and Institutional Theory. Using data from Saudi Arabian SMEs operating within the Vision 2030 agenda, the structural model demonstrates that AI primarily influences sustainability when firms possess robust KM systems capable of translating digital insights into actionable practices. Both EO and GPS strengthen the conversion of knowledge into sustainable outcomes, where EO fosters innovation and proactivity, and GPS provides essential resources and legitimacy. Nevertheless, excessive reliance on policy incentives may divert firms toward compliance rather than substantive transformation. Conceptually, this paper situates KM at the core of sustainability transformation, with policy support shaping the institutional context. The findings offer actionable guidance for SME managers and policymakers seeking to advance the United Nations Sustainable Development Goals (SDGs) through strategic engagement with AI and KM. Full article