Search Results (428)

The accelerating energy transition and growing geopolitical uncertainty have strengthened the strategic importance of hydrogen within future low-carbon energy systems. Green hydrogen is increasingly recognized as a key energy carrier supporting industrial decarbonization, renewable energy integration, long-term energy storage and energy security. However, existing hydrogen market assessment approaches remain fragmented and frequently focus on isolated technological, regulatory, or investment-related dimensions without sufficiently integrating the systemic interactions that shape hydrogen market maturity. To address this research gap, this study proposes the Integrated Green Hydrogen Market Development Index (IGHMDI), a multidimensional composite indicator framework designed to evaluate hydrogen market development through the integration of regulatory, technological, infrastructural, financial and strategic dimensions. This methodological framework is based on established principles of composite indicator construction, including indicator selection, normalization, weighting, and aggregation procedures adapted to the characteristics of emerging hydrogen markets. The proposed framework incorporates six principal dimensions: regulatory and policy development, technological readiness, infrastructure and market integration, investment and financial readiness, market demand and industrial adoption, and international cooperation and strategic positioning. An illustrative pilot application comparing Croatia and Germany is used to demonstrate the operational logic of the framework and its ability to distinguish between hydrogen markets at different stages of development. The illustrative assessment produced composite IGHMDI scores of 65.0 for Croatia and 91.7 for Germany, demonstrating the framework’s capability to distinguish hydrogen markets at different stages of structural development while providing a transparent basis for comparative assessment. The results indicate that hydrogen market development increasingly depends on the interaction between regulatory stability, infrastructure readiness, technological innovation, investment support mechanisms, market demand, and international coordination. The study also acknowledges that broader empirical validation, sensitivity analysis, and longitudinal application across a larger set of countries are required in future research. Overall, the IGHMDI framework contributes to the development of multidimensional hydrogen market assessment methodologies and provides a transparent analytical tool for comparative benchmarking, policy evaluation, infrastructure prioritization, and future hydrogen transition governance. Full article

Cross-border e-commerce in the European Union remains operationally heterogeneous despite Digital Single Market integration, which complicates first-stage market comparison. This study develops a portfolio-first public-data framework for EU-27 cross-border e-commerce market-entry screening using 2023 as the common reference year. The framework derives PC1_EF, a PCA-derived execution-condition screening axis, from enterprise e-sales penetration, a digital financial participation proxy and the World Bank Logistics Performance Index. Market potential is calculated by multiplying the population aged 16–74 by online-shopping incidence, while cross-border buying openness remains a separate demand-side overlay. The first component explains 67.84% of backbone variance, with all loadings being positive. The portfolio distinguishes country positions across execution conditions, market scale and cross-border openness. Auxiliary rule-based screening bands serve as a compact summary. PC1_EF is positively associated with enterprise-side e-commerce turnover intensity (Spearman ρ = 0.486, p = 0.014, N = 25), providing partial criterion-consistency evidence. GDP_PPS rank differences provide interpretive context. Equal-weight and leave-one-variable-out checks assess the sensitivity of the continuous ordering, while LPI gate-family and no-LPI/no-gate checks assess the sensitivity of the band summaries. The framework provides a transparent and reproducible basis for comparing EU-27 cross-border e-commerce markets. Full article

Purpose: This study investigates how financial and entrepreneurial capability configurations differentiate internationalized from domestically oriented Thai SMEs. By adopting a decision-science perspective, the study identifies the capability patterns that shape firms’ strategic international orientation. Design/methodology/approach: This research, which utilizes survey and financial data from 179 Thai SMEs (2021–2023), employs an inductive machine learning approach based on Extreme Gradient Boosting (XGBoost). The analytical framework integrates profitability, liquidity, leverage, operational efficiency, international experience, team readiness, market knowledge, and institutional connectivity. Feature importance scores and confirmatory statistical tests are used to validate differentiating capability structures. Findings: Internationalized SMEs are characterized by stronger financial agility, higher profitability, disciplined leverage, and more efficient resource utilization, together with entrepreneurial preparedness reflected in international experience, risk tolerance, team coordination, and institutional embeddedness. Localized SMEs, by contrast, display liquidity-heavy but lower-dynamism profiles, weaker network engagement, and more limited organizational readiness. Practical implications: The findings suggest that SME support should move beyond finance-only assistance and address capability alignment. Programs that strengthen financial agility, team readiness, international market knowledge, digital channels, and institutional networks may improve SME readiness for international engagement. Originality/value: The study contributes to international business theory by reframing SME internationalization as a selective and configurational process rather than a linear or binary outcome. It extends the resource-based view by emphasizing capability bundles rather than isolated resources and contributes to the dynamic capabilities perspective by showing how financial, entrepreneurial, and institutional capabilities are associated with SMEs’ differentiated participation in international markets. Full article

Environmental damage assessment has become an important institutional component of regional sustainability transitions, especially in resource-dependent northern territories where industrial risks, fragile ecosystems, sparse monitoring networks, and limited institutional capacity intersect. Existing oil-spill valuation approaches provide well-developed legal, economic, and ecosystem-service tools; however, their use as decision-support instruments for compensation governance, prevention investment, monitoring design, and regional resilience policy remains insufficiently operationalized. This article addresses this gap by developing a modular institutional framework for selecting and combining established environmental damage valuation methods under the ecological, legal, data-related, and socio-cultural constraints of the Russian North. The study applies a transparent narrative methodological review and framework-building design based on international and Russian literature, official regulatory sources, natural-resource damage assessment practice, ecosystem-service valuation studies, and publicly available evidence on the 2020 Norilsk diesel fuel spill. The analysis organizes six established valuation approaches into three complementary modules: direct harm, indirect and opportunity-related losses, and non-market ecosystem-service losses. The Norilsk case is used as an illustrative plausibility check rather than a full empirical recalculation. It shows that legally recognized compensation can provide a liability signal, but indirect losses and ecosystem-service components require separate evidence, sensitivity analysis, and double-counting control. The contribution of the article is to adapt established valuation methods into a transparent decision-support protocol that links environmental liability, compensation governance, prevention, monitoring, institutional resilience and regional sustainability transitions in Arctic and sub-Arctic resource regions. Full article

Durio zibethinus Murr., commonly known as durian or the “King of Fruits,” is prized for its strong aroma, spiny rind, and unique flavor. With global demand rising, it has become a key export, especially for Thailand, which led the market in 2024 with US$4.4 billion in revenue. However, breeding efforts are hindered by limited genetic diversity research, long generation times, and environmental sensitivity. These challenges are compounded by weak enforcement of intellectual property protections under Thailand’s Plant Variety Protection Act (PVP), which limits incentives for breeders. To address this, Thailand has turned to Geographical Indications (GIs) to protect and promote region-specific varieties. By 2024, 17 GI designations were granted across 16 provinces, including the notable Monthong durian from Pakchong in Nakhon Ratchasima. Although classified under the Monthong group, genetic similarity was observed, while notable phenotypic variation exists among varieties. These differences may be attributed to specific agronomic or genetic traits, warranting investigation into the cultivation characteristics that influence consumer-related qualities and preferences. Strengthening supply chain standards through good agricultural practices, GIs, genetic profiling, and international certification, combined with the adoption of modern molecular breeding tools including marker-assisted selection, genomic selection, and CRISPR/Cas9, would support sustainable innovation, improved farmer revenues, and long-term global competitiveness in the durian industry across Southeast Asia. Full article

This study investigates the integration of Circular Economy (CE) principles within the upstream beverage supply chain in Thailand, contextualized against a widening global circularity gap where macro rates have declined to 6.9% compared to 12.2% in the European Union. Moving beyond a general focus on underexplored stakeholders, this qualitative exploratory design examines the critical role of informal governance mechanisms in emerging markets. The research is grounded in a multi-theoretic framework integrating the Resource-Based View (RBV), Social Exchange Theory (SET), and Resource Dependence Theory (RDT). Thematic analysis was conducted on in-depth interviews with 23 key informants covering 18 core supply chain activities. The analytical results generated a three-tier hierarchical framework, culminating in a single overarching selective theme: Collaborative Upstream Resource Recirculation for Systemic Resilience. The findings reveal that circular supply chain performance is driven by the dynamic interplay between relational governance and internal resource capabilities, explicitly demonstrated by grassroots tactical innovations such as modifying production boilers to run on 100% biomass fuel. Relational trust and culturally embedded mechanisms (e.g., Sanya Jai) function as vital substitutes for formal institutional frameworks, enabling Supply Chain Collaboration (SCC) to drive adaptive practices and achieve system-level circular resilience. Full article

Vehicles with electrified powertrains carry the promise of significant reductions in greenhouse gas (GHG) emissions from a lifecycle analysis (LCA) standpoint compared to conventional internal combustion engine (CICE) vehicles. However, trade-offs exist between different types of electrified powertrains in terms of cost, consumer acceptance, and GHG reduction efficacy for different operating conditions. The open-source tool CarGHG was developed with an aim to enable the exploration of a plethora of parametric study scenarios, including the cost of electrification technologies, different driving patterns and charging habits, and the cost and carbon intensity of electricity and fuel blends. This paper introduces the framework of CarGHG, then showcases total cost of ownership (TCO) and LCA GHG results for select models of light-duty vehicles. Another capability of CarGHG, which is the ability to estimate the performance of “virtual” vehicle models (perceived vehicle design specifications not yet on the market), is utilized to explore future scenarios of electrification and low-carbon fuel blends for Small Sports Utility Vehicles (SUVs), a popular light-duty vehicle segment in North America. With opportunities, but also uncertainties, in future scenarios, it is likely wise to continue pursuing multiple ways towards the reduction of LCA GHG. Full article

Italy is among the world’s leading producers and exporters of chestnut. Over the past two decades, however, the sector has undergone significant structural changes driven by phytosanitary shocks and evolving market conditions. This study examines the structural and economic heterogeneity of Italian commercial chestnut farms over the period 2019–2023, aiming to identify recurrent production configurations and assess their economic performance and territorial distribution within the Farm Sustainability Data Network (FSDN) field of observation. The analysis is based on a balanced panel of 96 farms, from which a subsample of 77 inliers was identified through robust multivariate diagnostic tests. Farm-level indicators were aggregated over five years to capture medium-term positioning. Principal Component Analysis (PCA) was used to identify the main latent dimensions of variability, and fuzzy k-means clustering was subsequently performed on the resulting component scores. A five-cluster configuration was selected on the basis of internal validity indices, bootstrap stability, fuzzifier sensitivity and leave-one-variable-out robustness checks. The results reveal pronounced multidimensional differentiation within the observed sample. High economic intensity does not necessarily translate into greater margin stability, the effects of structural maturity vary according to cost exposure and labor organization. Territorial differentiation is statistically significant but not deterministic. Overall, the analysis provides an empirical characterization of structural profiles and their associated trade-offs within the observed commercial segment, offering insights into differentiated policy responses for perennial Mediterranean farming systems. Full article

The transformation of the world of work, driven by economic and social change, technological advances, digitalization, and new working environments, has highlighted the importance of soft skills in vocational education and training (VET). In this context, workplace internships constitute a key setting for their development and assessment. This systematic review analyzes the recent literature on transferable skills in VET and their relationship with work-based learning environments. Following PRISMA guidelines, searches were conducted in the Web of Science and Scopus databases. After applying inclusion and exclusion criteria, 26 studies were selected from 1114 records. Findings reveal international consensus regarding the importance of communication, teamwork, problem-solving, and socio-emotional skills for labor market integration. However, a gap persists between workplace demands and training practices. Although active methodologies and integrated learning models show promising results, important limitations remain regarding competency assessment, school-company coordination, and teacher preparation. The review also identifies research gaps, particularly the scarcity of longitudinal studies and validated instruments for assessing transferable skills in authentic VET contexts. Finally, the findings highlight the need for integrated school-company collaboration models that support more consistent assessment and professional development among students. Full article

This paper examines stock market reactions to corporate blockchain adoption announcements and explores whether the visibility of such initiatives shapes investor response. While prior research documents strong valuation effects during early phases of technological hype, evidence from more mature stages of diffusion remains limited. Accordingly, this study provides exploratory evidence on investor behavior in a later-stage adoption context. We construct a hand-collected dataset of 51 announcements by publicly traded firms across multiple industries and employ a standard event-study methodology to estimate abnormal returns over short announcement windows, using both market-model and Fama–French factor specifications. Adoption visibility is conceptualized as a multidimensional construct capturing (i) the intensity of communication surrounding the initiative and (ii) whether the application is customer-facing or internally oriented. The results indicate that average abnormal returns around announcement dates are positive but economically modest and statistically insignificant. These findings suggest that blockchain adoption announcements no longer trigger uniform market repricing effects. Instead, investors appear to respond more selectively, potentially differentiating based on the perceived informational content and strategic relevance of the initiatives. Overall, the analysis offers exploratory evidence consistent with a shift in investor response as emerging technologies move beyond hype-driven phases toward more mature stages of diffusion. The results should be interpreted with appropriate caution and motivate further research using larger samples and complementary empirical approaches. Full article

The present contribution provides a systematic review of the international scientific literature on the relationship between contaminated sites and real estate market dynamics. The objective is to investigate whether and to what extent the presence of environmental risk sources—both active or decommissioned—affects the value of surrounding residential properties. In particular, the review is focused on an examination of the methods commonly used in relevant studies to measure, interpret, and represent this impact across different geographical contexts, identifying the main magnitude ranges found in the selected contributions. Several studies consistently confirm a statistically significant negative relationship between proximity to polluting sites and real estate values, although the relevance of this effect varies considerably across case studies. Other records highlight non-notable impacts or even positive effects following remediation and redevelopment interventions. The evidence suggests that this relationship is complex and influenced by factors such as site type, contamination severity, specificities of the local urban context and community perception. Moreover, the findings underscore regional variations in the extent and nature of price impacts, reflecting diverse regulatory frameworks and remediation efforts. The outcomes of the literature review provide a robust foundation for developing more effective evaluation tools able to support decision-making processes, enabling policymakers, planners, and investors to promote sustainable urban regeneration, improve environmental justice, and reduce spatial inequalities. Ultimately, this study highlights the critical need for integrating environmental, social, and economic dimensions to fully capture the multifaceted effects of contaminated sites on property markets, thereby orienting more informed and equitable urban development strategies worldwide. Full article

This study examines how digitalization discourse is mobilized in public carbon reporting under institutional complexity and how it varies across different carbon-accountability structures in an emerging-market context within the Global South. A longitudinal comparative discourse analysis was conducted on 70 annual and sustainability reports (2015–2024) from seven Vietnamese listed firms, contrasting firms with internal carbon accountability against those with supply-chain-mediated accountability. The 2015–2024 timeframe was deliberately selected to capture a critical decade of regulatory evolution, marked by the aftermath of the Paris Agreement and the escalating enforcement of net-zero and environmental, social, and governance (ESG) disclosure mandates. Findings reveal that digitalization functions as an ambivalent rhetorical resource rather than a uniformly substantive sustainability enabler. Firms with operationally visible emissions utilize digitalization for “temporal buffering,” deferring immediate physical abatement by framing technology as a future transition pathway. Conversely, firms with supply-chain-mediated emissions employ “boundary displacement,” framing accountability as contingent on fragmented supplier data. These patterned responses constitute “digital institutional camouflage”. We conclude that digital reporting sophistication should not be conflated with substantive decarbonization; effective oversight requires cross-validating digital infrastructures with concrete emission-reduction measures. Ultimately, this study empirically specifies institutional decoupling theory by demonstrating how emissions visibility and organizational control shape distinct pathways of discursive decoupling. Full article

The aim of this study was to compare carcass composition, meat quality, digestive tract morphometry, and leg bone dimensions of Pekin and Muscovy ducks. The study involved 40 birds, including 10 males and 10 females from each genotype, reared to market age. Carcass traits, physicochemical properties of breast and leg muscles, texture parameters, internal organ development, intestinal measurements, and selected dimensions of the femur and tibia were evaluated. The results demonstrated a significant effect of duck genotype (p < 0.05) on carcass weight, dressing percentage, and the proportion of neck, wings, and skin with subcutaneous fat. Genotype also affected meat color (L*, a*, b*), intramuscular fat and collagen content, cooking loss, pH, electrical conductivity, and selected texture parameters of breast muscles. Differences were also observed in the mass and proportion of internal organs, most intestinal morphometric traits, and selected bone measurements. Sex had a significant effect on body and carcass weight, selected meat quality traits, intestinal measurements, and leg bone dimensions, with males generally showing greater body size and more developed skeletal structures. Significant interactions between genotype and sex were observed for several analyzed traits. The findings indicate that both genotype and sex substantially affect slaughter traits and meat quality characteristics of ducks. 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

Using data from the 41 companies listed on the Borsa Istanbul Sustainability Index between 2020 and 2024, this study examines the relationship between board characteristics, concentrated ownership structure, shareholder activism and sustainability transparency. Reports published on a voluntary basis were subjected to content analysis based on criteria selected from the Global Reporting Initiative (GRI) standards, and a sustainability disclosure score was calculated. The relationship between board characteristics, concentrated ownership structure, shareholder activism, financial metrics identified as control variables, and sustainability scores was evaluated via robust random effects (static) and System Generalized Method of Moments (System GMM) (dynamic) panel data estimators. According to the static estimation results, board meeting frequency and the ratio of female members serve as positive drivers for sustainability transparency. In the dynamic model estimates, these governance mechanisms lose their explanatory power and show no statistically observable effect. However, across both methodological approaches, firm size, which was integrated as a control factor, consistently demonstrates a robust positive correlation with levels of disclosure. These findings reveal that governance mechanisms such as the percentage of female members and meeting frequency have a short-term and marginal effect, but structural factors such as company size are the main determinants for a long-term and sustainable level of transparency in Türkiye. Consequently, market regulators should deploy policy frameworks that incentivize disclosure trajectories aligned with international frameworks while fostering voluntary reporting. Concurrently, corporate managers should look beyond mere statutory compliance and continuously embrace extensive global reporting standards. Full article