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In the macro context of promoting sustainable development and achieving net zero emissions, the role of green technology innovation, renewable energy utilization and environmental policy is crucial. However, there is still a lack of consistent empirical evidence regarding the combined emission reduction effect of these three factors in OECD countries. This study aims to empirically examine the combined impact of green technology innovation (GTI), renewable energy consumption (REC), and environmental taxes (ETAX) on carbon dioxide emissions. We expect that the former two will effectively reduce emissions, while the effect of environmental taxes depends on their design. Based on the panel data of 35 OECD economies from 1990 to 2019, this study adopts the augmented mean group (AMG) as the main estimation method, and uses the common correlation mean group (CCEMG) for the robustness test. To control potential endogenous issues, the difference generalized method of moments (GMM) is also employed for estimation. The causal relationship between variables is tested using the Dumitrescu–Herlin method. The results show that, as expected, GTI and REC have a significant negative impact on carbon dioxide reduction. However, ETAX is positively correlated with carbon emissions and does not have statistical significance, which deviates from the ideal policy effect and suggests that there may be efficiency bottlenecks in the current tax design. The causality test further reveals that there is a significant two-way causal relationship between CO₂ emissions and GTI, REC, ETAX, GDP, and fossil fuel consumption (FEC). Therefore, it is recommended that OECD countries give priority to expanding investment in green technologies and renewable energy infrastructure and re-evaluate and optimize environmental tax policies to effectively promote the transition to a low-carbon economy. Full article

Understanding the pathways through which digital innovation contributes to carbon emission reduction is crucial for designing effective climate policies. Existing studies generally find a negative association between digitalization and carbon emissions, but they often treat this relationship as a “black box” and pay insufficient attention to the distinct local and spatial mechanisms through which digital innovation operates. This paper investigates the impact of digital innovation on city-level carbon emissions in 283 Chinese cities from 2010 to 2020 and decomposes the total effect into a local synergistic effect and a spatial spillover effect using a Spatial Durbin Model. We further conduct an empirical test of the underlying mechanisms, including energy efficiency gains and industrial structure upgrading for the local synergy pathway, and green technology diffusion for the spatial spillover pathway. The results indicate that (1) digital innovation significantly reduces city-level carbon emissions, confirming an overall negative effect; (2) spatial decomposition reveals two simultaneous pathways, with a significant local synergistic effect within cities and a spatial spillover effect to neighboring cities; (3) the mechanism analysis shows that the local synergy is significantly associated with improvements in energy efficiency and industrial upgrading, whereas the spatial spillover is significantly associated with the diffusion of green patents; and (4) the effects are especially pronounced in technology-intensive industries and cities in more advanced regions. These findings imply that carbon reduction driven by digital innovation occurs through both intra-city optimization and inter-city technology diffusion. Therefore, policies should not only motivate cities to strengthen their own digital capacities, but also promote interregional collaboration to enhance positive spillovers and achieve cost-effective and well-coordinated carbon neutrality. Full article

Italian inner areas face population decline, limited access to services and fragile infrastructure; however, the micro-mechanisms through which community practices generate tangible improvements often remain unclear. Still, local communitarian initiatives, such as those represented by ecovillages, can be an effective response to the ongoing process of marginalisation, becoming true living labs for place-based transitions. Through the analysis of the Torri Superiore Ecovillage (Imperia, Italy), a recognised and well-known good practice in the national and international ecovillage circuit, we want to find answers to three research questions: (RQ1) To what extent can an ecovillage act as a living lab for social innovation and ecological transition in inner areas? (RQ2) Which demographic and governance conditions enable territorial resilience and which ones block it? (RQ3) Which environmental practices generate locally significant improvements and with what limitations? Based on qualitative and interpretative evidence (2016–2025)—field observations, internal documents and testimonies—and on essential demographic indicators (ISTAT/SNAI), this study examines the Torri Superiore Ecovillage as a small-scale living lab. Torri Superiore and the surrounding municipalities are ageing and have reduced demographic bases; however selective immigration and heterogeneity of skills act as partial buffers. The governance of the Torri Superiore Ecovillage combines clear rules, participatory routines and coordination mechanisms, promoting problem solving while remaining sensitive to leadership burdens. The “bridging” between multiple actors enables terrace maintenance, local water resource management, agroecological practices, renewable energy adoption, waste prevention/composting and light mobility to achieve tangible environmental improvements on a small scale. We frame transferability as analytical (not statistical), specify the enabling conditions (sufficient active participants, stable routines, territorial management) and outline the relevant policy implications for SNAI classes and a lightweight longitudinal observatory. Full article

Rural revitalization constitutes a vital strategic initiative in advancing China’s socialist modernization. At the 2023 Central Economic Work Conference, the objective of building China into a financial powerhouse was formally articulated, thereby establishing higher benchmarks for financial support of rural revitalization. A critical question arising from this agenda is how to simultaneously advance agricultural technological innovation while effectively implementing green development principles. Accordingly, it is essential to investigate the role of the integrated development of sci-tech finance and green finance in promoting rural revitalization. Against this backdrop, this study employs provincial-level panel data from China spanning the period from 2011 to 2021. A two-way fixed effects model is adopted to examine the impact of the integrated development of sci-tech finance and green finance on rural revitalization. The analysis identifies three primary transmission mechanisms: financial supply, green agricultural development, and linkages between smallholder farmers and modern agriculture. Furthermore, the study explores heterogeneity across different financial environments from two dimensions: the level of digital inclusive finance development and the intensity of financial regulation. The empirical results indicate that (1) the integrated development of sci-tech finance and green finance significantly promotes rural revitalization, exhibiting a nonlinear effect whereby its catalytic impact intensifies markedly once the coupling coordination between the two surpasses a critical threshold; (2) such integration alleviates rural financing constraints, enhances agricultural green total factor productivity, and facilitates rural revitalization through the establishment of green agricultural cooperatives; and (3) the enhanced impact of this holistic progress is particularly noticeable in areas with advanced digital financial inclusion and robust financial oversight. In light of these results, this research puts forth three policy suggestions. First, institutional and policy preparations for integrating green finance and sci-tech finance should be accelerated through coordinated government policies, financial product innovation, and financial market reforms. Second, the channels through which sci-tech finance and green finance support rural revitalization should be strengthened by expanding agricultural credit, improving the coverage of rural financial institutions, and fostering specialized green agricultural cooperatives. Third, the financial ecosystem should be optimized by prioritizing investment in digital infrastructure and reinforcing financial supervision throughout the development of digital inclusive finance, particularly in rural regions. Full article

This study addresses the challenges of low-pressure oil well workover operations, namely, severe loss of water-based workover fluid, significant reservoir damage from conventional temporary plugging agents, and slow production recovery, by focusing on the yet-mechanistically unclear “fuzzy-ball workover fluid.” Laboratory experiments combined with field data were used to evaluate its plugging performance and reservoir-protective mechanisms. In sand-filled tubes (diameter 25 mm, length 20–100 cm) sealed with the fuzzy-ball fluid, the formation’s bearing capacity increased by 3.25–18.59 MPa, showing a positive correlation with the plugging radius. Compatibility tests demonstrated that mixtures of crude oil and workover fluid (1:1) or crude oil, workover fluid, and water (1:1:1) held at 60 °C for 80 h exhibited only minor apparent viscosity reductions of 4 mPa·s and 2 mPa·s, respectively, indicating good stability. After successful plugging, a 1% ammonium persulfate solution was injected for 2 h to break the gel; permeability recovery rates reached 112–127%, confirming low reservoir damage and effective gel-break de-blocking. Field data from five wells (formation pressure coefficients 0.49–0.64) showed per-well fluid consumption of 33–83 m³ and post-workover liquid production index recoveries of 5.90–53.30%. Multivariate regression established mathematical relationships among bearing capacity, production index recovery, and fourteen geological engineering parameters, identifying the plugging radius as a key factor. Larger radii enhance both temporary plugging strength and production recovery without harming the reservoir, and they promote production by expanding the cleaning zone. In summary, the fuzzy-ball workover fluid achieves an integrated “high-efficiency plugging–low-damage gel-break–synergistic cleaning” mechanism, resolving the trade-off between temporary-plugging strength and production recovery in low-pressure wells and offering an innovative, environmentally friendly solution for the sustainable and efficient exploitation of oil–gas resources. Full article

A data cooperative is a legally organized cooperative whose purpose is the collective collection, management, and use of data collected by its members. In contrast to other data pools, it can act as a democratic self-governing organization in which each member has a say in how data is collected, shared, and analyzed. The members retain control over the data they contribute. They collectively benefit from the resulting data services, for example, through new insights, innovative services, or economic advantages. As a forward-looking model, the data cooperative enables smaller players to access reliable data infrastructure and data resources that would otherwise remain inaccessible. It promotes data sovereignty and strengthens trust in data-driven cooperation. Here, the definition of data derives from the field of business informatics, which gives a scientifically sound typology of data, systematized on several levels. The following elaboration offers conceptual clarification and presentation of central data types. Depending on the context and processing purpose, their classification is essential for business informatics, as they form the raw material for information systems and business processes. Data cooperatives are gaining in importance as a cooperative form of organization enabling democratic co-determination, community benefit, and equal access to data for regional actors. Full article

To enhance the monitoring and conservation efforts for China’s Class II endangered species, specifically the wild giant salamander and its ecosystems, this study addresses the urgent need to counteract the rapid decline of its wild population caused by habitat loss and insufficient surveillance. We present an innovative localization system based on passive Ultra-High-Frequency Radio Frequency Identification (UHF RFID) technology, employing a Double-Transform (D-Tr) methodology that integrates an enhanced 3D LANDMARC algorithm with GAIN generative adversarial networks. This system effectively reconstructs missing Received Signal Strength Indicator (RSSI) data due to environmental barriers by applying a log-distance path loss model. The D-Tr framework simultaneously generates RSSI sequences alongside their first-order differential characteristics, allowing for a comprehensive analysis of spatiotemporal signal relationships. Field tests conducted in the Hubei Xianfeng Zhongjian River Giant Salamander National Nature Reserve reveal that the positioning error consistently remains within 10 cm, with average accuracy improvements of 20.075%, 15.331%, and 12.925% along the X, Y, and Z axes, respectively, compared to traditional time-series models such as long short-term memory (LSTM) and gated recurrent unit (GRU). This system, designed to investigate the behavioral patterns and movement paths of farmed giant salamanders, achieves centimeter-level tracking of their cave-dwelling activities. It provides essential technical support for quantitatively assessing their daily activity patterns, habitat choices, and population trends, thereby promoting a shift from passive oversight to proactive monitoring in the conservation of endangered species. Full article

The Tourism Area Life Cycle shaped tourism research for decades, but its concepts Product Life Cycle and Carrying Capacity remain problematic. We apply a Path Dependence frame under an Urban Growth Machine Theory lens to explore the effects of growth pressure and resource undersupply on the decline and rejuvenation of Japan’s former premier hot spring resort Atami. We conduct structured data collection utilizing sampling and coding methods to collect quantitative and qualitative data from primary and secondary sources, reconstructing Atami’s development paths. Findings suggest that growth pressure conflicted with local supply such as land, water, labor and created negative externalities, most notably high prices. Decision makers’ uncompromising focus on growth aggravated displacement of key actors, disrupting local communities and undermining the human agency needed for small-scale product innovation; empowered associations obstructing promotion and diversification efforts; encouraged extreme specialization depriving Atami of new independent businesses; and drove local opposition to major new projects, thereby stalling product renewal. The framework helped recontextualize Atami’s recovery and demonstrated the value of directly incorporating factors of capacity into analysis. Results link displacement to long-term sustainability risks affecting ‘replaceable’ resorts reliant on innovation. Unencumbered access to local resources for residents (housing, training) is proposed as mitigation. Full article

This paper examines the combination of traditional banking credit assessment techniques with contemporary internal sales accounting systems in Kazakhstan, aiming to augment the precision and resilience of financial assessments pertaining to SMEs. The proposed model consists of two discrete components: a traditional credit scoring module that employs logistic regression and a supplementary sales analytics module that leverages ensemble machine learning methodologies — random forests and gradient boosting algorithms. The outputs generated by these components are amalgamated through an ensemble strategy, where optimal weighting coefficients are ascertained via cross-validation. An empirical analysis was conducted on a dataset encompassing 41,000 SME records from a prominent Kazakhstan bank alongside daily transactional sales data from 150 SMEs gathered between the years 2021 and 2024. The integrated hybrid model demonstrated a statistically meaningful enhancement in predictive efficacy, as evidenced by an increase in the area under the ROC curve from 0.76 to 0.87 and a decrease in mean squared error from 0.12 to 0.08 relative to the traditional methodology. The investigation delves into the transformative influence of digitalization on innovation within SMEs, elucidating that improved real-time data integration not only sharpens risk assessment processes but also promotes adaptive lending strategies and operational efficiencies. Full article

In an increasingly secular and pluralistic age marked by declining religious affiliation and rising individualized spiritual pursuits, accompanied by soaring mental health issues, the need for psychologically grounded perspectives on spiritual health is urgent. Drawing on developmental psychology, positive psychology, and psychology of religion and spirituality, this article introduces the Thrive Spiritual Health Framework. Spiritual health involves experiencing and responding to a loving source of transcendence in cognitive, affective, behavioral, and relational ways, and integrating those responses into narrative identities that inform who we are and who we belong to, shape our ethical ideals, inform virtues, and orient purpose—allowing us to sustain lives of love. The framework synthesizes six interrelated facets—transcendence, habits and rhythms, relationships and community, identity and narrative, vocation and purpose, and ethics and virtues (THRIVE)—through which spirituality nurtures thriving. Each facet is contextualizable across cultural and secular settings, highlighting both opportunities and vulnerabilities of contemporary spirituality. While individualized spiritual pathways may empower autonomy and innovation, they also risk fragmentation without relational and communal support. The framework provides an empirically grounded resource for research and practice, clarifying when spirituality promotes thriving and offering guidance for spiritual innovation in pluralistic contexts. Full article

Teacher certification is strongly correlated with student development. Many studies have documented the effect of teacher certification on student achievement. However, there are inconsistent conclusions about this issue. Moreover, few studies have examined the mechanisms by which teacher certification promotes student achievement. To fill these gaps, this paper examines the effect of teacher certification on student achievement and the underlying mechanisms. We analyzed the data from the TALIS 2018 Türkiye teacher data and the PISA 2018 Türkiye student data using path analysis and PROCESS Model 6. It was found that the rise in entry requirements for teacher certification was positively associated with teachers’ sense of efficacy and pedagogical innovation in the Turkish context. It was also indicated that teacher certification was positively associated with student achievement through the serial mediation of teachers’ sense of efficacy and pedagogical innovation. The practical and theoretical implications of this paper were discussed. Full article

Plant growth regulators (PGRs) significantly contribute to enhancing crop quality and yield. There is an urgent market demand for innovative natural PGRs. Marine natural products have the potential to serve as valuable sources of PGRs. To discover natural siderophore-type PGRs from marine natural products, according to a systematic pipeline for efficient lead-structure discovery from microbial natural products (SPLSD), a unique desferrioxamine-like siderophore biosynthetic gene cluster was discovered and activated by genome mining and culture regulation from a novel species, Streptomonospora nanhaiensis 12A09^T. Some potentially new desferrioxamine derivatives were further discovered by the LC-MS/MS molecular network. Three new desferrioxamine derivatives, desferrioxamines C1, C2, and G3 (1–3) and three known ones, terragine E (4) and desferrioxamines E and D2 (5–6), were selectively isolated and identified using chromatography and spectroscopy techniques from S. nanhaiensis 12A09^T. In the ferric iron-chelating assay, 4 and 5 showed moderate Fe (III)-complexing capability, compared with desferrioxamine mesylate. In the plant growth-regulatory assay, 1, 5, and 6 potently boosted the root length of Oryza sativa and Brassica campestris seedlings, equivalent to gibberellin. This study reports the first discovery of desferrioxamine derivatives exhibiting plant growth-promoting activity. These findings offer valuable lead compounds for PGRs. Full article

This paper presents an analysis of energy savings and sustainability measures to improve the environmental performance of glass wool fiberizing, the latter being the most energy intensive production step in manufacturing glass wool thermal insulation, involving conversion of hot molten glass into fibers. The first part evaluates two refractory designs—business as usual (BAU) and modified (MOD), over four trials. BAU refractory has higher density whereas MOD is an innovative lightweight design, with lower density and improved thermal conductivity. The key operational parameters analyzed include energy demand and CO₂ emissions in the fiberizing stage, along with burner pressure, temperature and fiber diameter. The results show that MOD has better thermal performance, leading to an average energy demand reduction potential of up to 10%. The second part focuses on promoting a circular economy for the end-of-life refractory, underpinned by the potential for recovery and reuse of spent refractory materials. Based on a total refractory mass of 1.2 tons for the six burners, the end-of-life refractory material recovery is estimated as 0.78 ton (65% of the aggregate). Balancing the recovery costs with the acquired value of the recovered aggregates, results demonstrate significant material and environmental cost avoidance on a 3-year refractory relining cycle. Full article

Mothers’ behavior strongly influences children’s eating habits, with family attitudes and feeding practices playing a key role in dietary development. In accordance with the previous literature, this study examined these aspects, including also mothers’ use of social media to stay informed about nutrition as an innovative element. The main goal was to validate the Italian version of the PSEPAD scale (Parental Self-Efficacy for Promoting Healthy Physical Activity and Dietary Behaviors in Children), which is a valid and reliable tool for assessing parental self-efficacy in encouraging healthy lifestyles in children, through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The sample was composed of 217 mothers. Results were interpreted through groups comparisons (chi-square, ANOVA, and t-test). The findings confirmed the central role of mothers in managing children’s diets and using strategies against picky eating behaviors. The study also highlighted the growing use of social media among mothers, especially younger ones, as a source of nutritional information, meal planning, and peer support, despite a generally low level of satisfaction with the content available on pediatric nutrition. Finally, the results showed a positive link between maternal self-efficacy and healthier child behaviors: mothers with higher self-esteem and confidence were more effective in promoting healthy habits. These findings underscore the importance of targeted interventions to strengthen maternal self-efficacy and the development of digital tools to support healthy family lifestyles. Full article

Background: Interactions between healthcare professionals and medical technology companies on social media are central to understanding how variations in knowledge spillover and innovation performance vary. Aim: This study investigates how social media facilitates knowledge exchange between these two stakeholder groups in Austria, drawing on a cross-sectional online survey of 97 participants (45 healthcare professionals and 52 medical technology company representatives). Data were analyzed using Confirmatory Factor Analysis (CFA), Exploratory Structural Equation Modeling (ESEM), and independent-samples t-tests. The comparative approach enabled the identification of structural differences across stakeholder groups and regions within Austria. Methodology: The study adopts a comparative analysis framework to explore geographic differences within Austria and to examine how social media interaction strengthens dense and strong network ties between healthcare professionals and medical technology companies, thereby enhancing information-processing capabilities. Results: The findings underscore the pivotal role of social media in bridging geographic boundaries, fostering dense and strong network ties, and enhancing information-processing capacities. Conclusions: This study advances the understanding of how digital interaction mechanisms shape knowledge exchange and innovation performance in healthcare outcomes. Practical Implications: The findings suggest that social media promotes stronger professional relationships and deeper customer engagement. The results may assist policymakers and industry leaders aiming to design effective digital strategies for innovation and improved healthcare outcomes. Full article