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["Environmental Policy and Governance, EarlyView. ", "\nABSTRACT\nIn light of the democratic and social‐ecological crises, deliberative minipublics such as citizens' assemblies are increasingly implemented and discussed by scholars as a means for sound decision‐making and to enhance public support for sustainability transformations. Through a case study covering three municipalities in East Germany, this article examines how citizens' assemblies can impact the willingness to change for sustainability in rural municipalities. Interviews were conducted with participants of the assemblies, local politicians, and administrative employees. The locally prevailing willingness to change was perceived as low, mainly due to structural barriers and widespread disenchantment with current approaches to sustainability. Despite this, the findings suggest effects of the citizens' assemblies on the participants' willingness to change, notably through a reported increase in knowledge and in the perceived feasibility of change. The described effects on the municipal administration and politics include local trust building and an enhanced participatory culture. The findings point to the potentials of locally adapted solutions, while emphasizing a need for deliberative approaches that are sensitive to both diverging contexts and structural conflicts in sustainability transformations.\n"]

["American Journal of Human Biology, Volume 38, Issue 6, June 2026. ", "\nABSTRACT\n\nObjectives\nResearch in Western samples has repeatedly demonstrated a link between exposure to nature and natural stimuli and improved health. We sought to test these relationships in a sample of Indigenous Wixárika, whose traditional worldview is nature‐based and conceives of all life as interconnected, in contrast to Western norms.\n\n\nMethods\nA total of 127 Wixárika adults (68.5% female, mean age = 33.6 years) were recruited from Guadalajara and a rural community, as part of a larger study on Wixárika health. Participants completed surveys including a Connectedness to Nature (CNS) scale, self‐reported mental and physical health, and frequency of participation in traditional ceremonies, a proxy of adherence to a traditional worldview. Firth logistic regression was used to model the effects of CNS and ceremony participation on both health measures.\n\n\nResults\nRural participants had worse health, but greater CNS scores (p < 0.001 for both) and more frequent ceremony participation than urban participants. Higher CNS scores were associated with better mental health (OR = 4.94, 95% CI = 1.60–16.45, p = 0.005) in rural participants, with no effect on either health measure in urban participants.\n\n\nConclusion\nResults partially supported our prediction that greater CNS would be associated with better health. Notably, the only statistically significant relationship was in rural Wixáritari. The effects of CNS on health may diminish in generally healthy individuals (i.e., Guadalajara residents). Future work should probe this possibility further. This work calls attention to potential discrepancies in the health/nature nexus in non‐Western contexts and the need to explore different cultural understandings of nature.\n\n"]

["Journal of Community &Applied Social Psychology, Volume 36, Issue 4, July/August 2026. ", "\nABSTRACT\nThe 2024 UK general election heralded the first change of government for 14 years. Based on social identity theory, we tested the IDEAS model to predict why supporters of different oppositional parties rejected the party in power. Previous tests of the IDEAS model had focused on attitudinal support and intentions for specific causes such as separatism, whereas the present study addressed its capacity to explain behaviour—voting for change—regardless of the (liberal‐conservative) orientation of the party that the voter supported. We predicted that the relationship between group identity, collective relative deprivation, collective efficacy and voting for change should be mediated by social change beliefs. Group identification and deprivation should also predict subjective well‐being. Unlike social change beliefs, well‐being should not mediate effects on voting. Using a preregistered survey of voters for the four main political parties prior to and following the election (N = 593), structural equation modelling supported most of the paths in the model. Social change beliefs mediated effects on voting intention as well as voting, whereas well‐being did not. The findings extend the scope of the IDEAS model to show why diverse sets of groups may pursue a shared objective of social change and bring about social and political transformations.\n"]

{"p"=>"Diabetic nephropathy (DN) is characterized by a decline in renal function resulting from hyperglycaemia and is often requiring dialysis or renal transplantation. Yet, the signalling events causing DN and the effective treatment options are poorly understood. Changes in the signalling of cyclic nucleotides and their regulated kinases are hypothesized to be involved in its development. Protein kinase A (PKA) signalling pathways are known to modulate extracellular matrix metabolism and exert antifibrotic effects. Multiple isoforms of PKA regulatory and catalytic subunits exist, leading to functional specificities of the kinase arising from different combinations of these isoforms. However, localization of the specific PKA subunits, as well as other signalling proteins involved in this pathway, still need to be explored comprehensively. To gain an overview about PKA distribution, kidneys were analysed by immunohistochemistry and stained for different PKA subunits. Type 1 diabetes was induced by streptozotocin in wildtype (WT) and endothelial NOS knockout (eNOS-KO) mice. The catalytic subunit expression was quantified and compared between healthy and diabetic kidneys. Analysis of expression patterns of the PKA catalytic subunits Cα and Cβ reveal differences across segments of the kidney and in intracellular localization. Cα exhibited ubiquitous expression in all renal cell types. In contrast, Cβ only shows a high expression in proximal tubules, while its expression in other segments is comparatively weak. No significant changes in Cα or Cβ expression are detectable in diabetic mice or eNOS-KO mice compared to WT mice."}

["Addiction, EarlyView. ", "\nAbstract\n\nBackground and aims\nCo‐use of cannabis and e‐cigarettes for nicotine is increasing among younger adults in the United States (US). This study aimed to determine (1) the patterns of cannabis and e‐cigarette use and co‐use over time and (2) the trajectories of e‐cigarette and cannabis dependence symptoms across latent classes representing different patterns of use and co‐use.\n\n\nDesign\nProspective cohort study, with data collected every six months at six time points.\n\n\nSetting\nHawaii, USA.\n\n\nParticipants\nN = 1305 individuals [mean age = 25.0 (standard deviation = 2.2); 52% women], who reported past‐30‐day cannabis and/or e‐cigarette use at any of the six data collection time points between March 2021 and February 2024.\n\n\nMeasurements\nFor the repeated measures latent class analysis (RMLCA): past‐30‐day cannabis use, e‐cigarette use and co‐use (any past‐30‐day use of both cannabis and e‐cigarettes for nicotine). RMLCA covariates: demographic variables and cigarette smoking. For the latent growth curve analyses: e‐cigarette dependence [Penn State E‐Cigarette Dependence Index (PSEDI), range: 0–20] and cannabis dependence symptoms [Cannabis Abuse Screening Test (CAST), range: 0–24].\n\n\nFindings\nFour latent classes were identified: individuals who, across time points, consistently showed (1) low probabilities (≤ 0.17) of using e‐cigarettes or cannabis, including co‐use (44% of the sample); and (2) high probabilities (> 0.50) of primarily e‐cigarettes‐only use (18%); (3) primarily cannabis‐only use (20%); and (4) primarily co‐use (18%). For co‐use class, the average trajectory for cannabis dependence remained flat [mean linear slope (LS) = 0.01 (standard error [SE] = 0.03), P > 0.05] whereas that for e‐cigarette dependence increased over time [LS = 0.15 (0.03), P < 0.0001] before showing a slight decline [mean quadratic slope (QS) = −0.02 (0.007), P < 0.01]. For e‐cigarette‐only use class, e‐cigarette dependence increased over time [LS = 0.91 (0.05), P < 0.0001], before showing a slight decline [QS = −0.02 (0.006), P < 0.0001]. The levels of e‐cigarette dependence were higher for e‐cigarette‐only class than the co‐use class across all time points. For cannabis‐only class, the average trajectory of cannabis dependence symptoms did not change over time [LS = 0.03 (0.03), P > 0.05]. The levels of cannabis dependence symptoms were higher for the co‐use class than the cannabis‐only class across all time points.\n\n\nConclusions\nAmong young adults who reported past‐30‐day cannabis and/or e‐cigarette use, on average, e‐cigarette dependence increased over time for both e‐cigarette‐only and co‐use classes before showing slight declines. Compared with the co‐use class, the e‐cigarette‐only class tended to show higher levels of e‐cigarette dependence across all time points. Cannabis use dependence did not change statistically significantly for either co‐use or cannabis‐only classes.\n\n"]

["Journal of the Association for Information Science and Technology, EarlyView. ", "\nAbstract\nOpen Access has changed how research is published and discovered. Studies generally report that OA articles are cited and mentioned more often than non‐OA, describing an open access advantage (OAA). The mechanisms causing the OAA are under‐investigated: this research analyzes citation and altmetrics post‐publication, reporting on the development of OAAs over time. A set of journal articles (N = 44.4 M) is analyzed using seven metrics (citations from journal articles and six altmetrics), using a longitudinal methodology. These data are presented as a ratio of OA:non‐OA. OAAs are confirmed for many metrics: early advantages are strong for citation and policy metrics, moderate for news and blogs, and mostly absent for patent citations. Many OAAs are sustained in the years post‐publication, although citation OAAs, which typically drop in the year after publication, grow strongly in the following years. OAAs do not generally disappear over time, with the exception of policy citations. Most OAAs appear shortly after publication, and although some develop over time, they are generally sustained in subsequent years. The evidence favors an explanation associated with early activity; other explanations are required to understand subsequent changes in OAAs. There are significant implications for funders, researchers, and publishers.\n"]

["Information Systems Journal, EarlyView. ", "\nABSTRACT\nThis practitioner paper examines how multinational organisations can scale digital transformation in highly regulated environments where compliance requirements vary across countries and functions. While many organisations successfully launch digital pilots, far fewer manage to scale them into enterprise‐wide transformation. Drawing on 26 semi‐structured interviews conducted within Roche, a global pharmaceutical company, we examine how two AI‐enabled initiatives, AI‐driven translation and robotic process automation for regulatory tasks, were scaled across complex regulatory environments. The findings identify three organisational development areas required for scalable digital transformation: building a mindset and capacity for scaling pilots, embedding standardisation and integration and managing information flows under regulatory complexity. We further identify two mechanisms that enable these development areas to translate into scalable outcomes: impact assessment as a stage‐gate discipline and visioning around information flows. From this analysis, we distil five lessons for practice: (1) treat pilots as stepping stones rather than isolated experiments; (2) design digital pilots for reusability and interoperability; (3) embed regulatory adaptability into pilot design; (4) use impact assessment to govern scale‐up decisions and (5) anchor digital initiatives in a shared vision of information flows. These findings offer practical guidance for organisations seeking to scale digital transformation while maintaining coherence, compliance and enterprise‐wide impact in highly regulated industries.\n"]

["Australasian Journal on Ageing, Volume 45, Issue 2, June 2026. ", "\nABSTRACT\n\nObjectives\nThe global population of people aged 60 years and above is growing. With this, there is a rising need for home care services and demand for online health information to facilitate the decision‐making among older adults and promote consumer‐directed care. This exploratory study aimed to examine how aged care provider websites present and structure information about Home Care Packages (HCPs) to support consumer decision‐making.\n\n\nMethods\nA web‐based content analysis of Australian provider websites was conducted by accessing websites using Google Chrome in incognito mode and using an evaluation tool that assessed language readability (Flesch Reading Ease and Flesch–Kincaid Grade Level scores), usability features Web Content (Accessibility Guidelines V2.0) and the relevance and depth of HCP information. Descriptive statistics were calculated using SPSSv.29. Qualitative data were analysed using deductive content analysis. Data were extracted into Microsoft Excel and deductively coded using the structured evaluation tool developed for this study. Coded content was then narratively synthesised, augmented by researcher notes and illustrative quotes.\n\n\nResults\nFrom 25 systematically sampled websites, the median Flesch Reading Ease score was 52.5 (IQR 12.52) corresponding to a high school reading level of 10th–12th grade. Most sites featured small text (n = 21) and inconsistent information regarding services, pricing and case management. None of the websites in this analysis was found to be both user‐friendly and comprehensive in their HCP content.\n\n\nConclusions\nPoor usability and inconsistent information may limit older adults' ability to access and understand HCP details, reducing engagement with these online resources.\n\n"]

["Australasian Journal on Ageing, Volume 45, Issue 2, June 2026. ", "\nABSTRACT\n\nObjective\nAustralia has an ageing population, with an increasing number of older people needing to live in residential aged care facilities (RACFs). There are more Emergency department (ED) presentations by older people living in Australia, including those that are from RACF, and many die in hospital. The aim of this study was to perform a descriptive analysis of hospital deaths, comparing the characteristics of patients from Residential Aged Care Facilities (RACFs) to those from non‐RACF accommodation.\n\n\nMethods\nThis study examined data from the In‐Hospital Death Database for a major metropolitan tertiary hospital. De‐identified data from 2015 to 2022 were extracted and included in the analysis. Data for patients over the age of 16 were collected. Data were matched on age and sex between the two groups.\n\n\nResults\nCompared with non‐RACF patients, patients from RACFs who died in hospital were more likely to have died from a respiratory illness, more likely to die in the ED, no more likely to have been a 28‐day readmission, more likely to have been admitted under Geriatrics, less likely to have been a coroner's case, and had a shorter length of stay. A large proportion of deaths of RACF patients (15%) were in the ED. Approximately 40% of patients from RACFs who died in hospital had Advance Care Plans (ACPs) in place prior to hospitalisation.\n\n\nConclusions\nThe relatively large percentage of RACF patients that die in the ED is concerning and raises the question of whether their end‐of‐life care may have been more appropriately delivered within the RACF. The rate of ACP among RACF patients was low but comparable to other studies, and higher than among non‐RACF patients.\n\n"]

["Geographical Analysis, Volume 58, Issue 3, July 2026. ", "\nABSTRACT\nEstimating unknown outcomes at small‐area population level is a routine task in spatial analysis. We demonstrate how multilevel regression and poststratification (MRP), widely used in political polling, overcomes some deficiencies in spatial microsimulation (SPM), the de facto approach in quantitative geography. Using individual‐level data from the Health Survey for England and population‐level data from the 2021 UK Census, we evaluate MRP and SPM at estimating two known health outcomes that occur with high and low frequency in the population. With few SPM constraints, covariates in MRP, there are only slight differences in estimation between the two approaches. With more constraints, extreme errors in the SPM estimates begin to accumulate, and these are particularly pronounced for the low‐frequency outcome. Additionally, where uncertainty ranges from MRP posteriors begin to widen we find they map to absolute errors, providing a useful validity check when the true population distribution is unknown. This is the first direct comparison of MRP and SPM for small‐area estimation. Alongside metrics for evaluating estimates, we highlight the value of non‐compositional area‐level variables that may constrain outcomes or capture varying processes over spatial units, and of a principled approach to model specification and uncertainty quantification—both central to MRP practice.\n"]

["Child &Family Social Work, EarlyView. ", "\nABSTRACT\nAlthough family reintegration of street‐connected youth has become the main objective of many governmental and civil society organizations, achieving this remains a complex task. This article explores what contributes to successful and sustainable change in work with street‐connected young people and their families based on descriptions provided by the youth and family members themselves and the professionals who work with them. The study draws on ethnographic data created in two civil society organizations and one governmental institution in urban Northeast Brazil. The results illustrate the desired change: weakening young people's connection to the street and its related lifestyle and strengthening their family and community ties and, as a result, achieving family reintegration. In addition, they discuss work approaches that can successfully and sustainably contribute to this change: relationship‐building, awareness‐raising and enhancing strengths. The article argues that these approaches are fundamentally rights‐based and can offer successful and sustainable change in these young people's situations and those of their families by valuing them as subjects of rights instead of stigmatizing or victimizing them. It further argues that such approaches should, therefore, be acknowledged in both practice and policy within a relational perspective that involves both young people and their families.\n"]

["Child &Family Social Work, EarlyView. ", "\nABSTRACT\nParental overprotection—marked by excessive control and restricted autonomy—can hinder adolescents' emotional growth and social competence. This study examined how psychological resilience and bullying victimization explain the link between overprotective parenting and adolescent mental health in a clinical sample. Data were collected from 219 adolescents and young adults (aged 12–25 years) attending a psychiatric outpatient clinic in China, using self‐report measures of parental overprotection, resilience, bullying victimization, psychotic‐like experiences (PLEs), depression, and anxiety. Parental overprotection was positively associated with PLEs, depressive symptoms, and anxiety symptoms, and sequential mediation analyses showed that all three indirect pathways were significant across outcomes: via lower resilience, via higher bullying victimization, and through the sequential pathway from lower resilience to greater bullying victimization. As direct effects remained significant across all three models, the associations were only partially mediated. Together, these findings suggest that overprotective parenting may heighten adolescents' mental‐health risks by weakening resilience and increasing peer stress, and they support coordinated family‐, school‐, and service‐based responses for help‐seeking adolescents exposed to overprotective parenting and peer stress.\n"]

["Natural Resources Forum, EarlyView. ", "\nABSTRACT\nThe convergence hypothesis, which emphasizes the attainment of income equality among nations, has recently gained prominence in energy studies due to its pivotal role in addressing the pressing challenges at the intersection of economic development and energy sustainability. This investigation analyzes convergence in energy intensity within ASEAN‐5 countries from 1980 to 2022. To this end, the maximal overlap discrete wavelet transform is employed, offering a comprehensive analysis of the series' short‐, medium‐, and long‐run behavior by utilizing both time‐ and frequency‐domain information. In contrast to previous studies, this research explicitly focuses on the total energy sector of the ASEAN‐5 countries and offers policy recommendations for short‐, medium‐, and long‐term implementation. When convergence within ASEAN‐5 is assessed without accounting for different time scales, the findings indicate that the convergence hypothesis—based on conventional and Fourier‐based unit root and stationarity tests—holds only for Malaysia and Singapore. However, by incorporating time‐ and frequency‐domain information through wavelet transformation and decomposing the series into short‐, medium‐, and long‐term components, stochastic convergence is identified across all ASEAN‐5 countries. This finding is crucial for policymakers, as it enables the design and implementation of appropriate strategies. The decomposition demonstrates that energy cooperation among ASEAN‐5 countries yields positive outcomes over the short, medium, and long term, thereby indicating effective policy integration.\n"]

["Environmental Policy and Governance, EarlyView. ", "\nABSTRACT\nFreshwater availability is a critical climate change challenge in coastal delta regions. This challenge requires a transformative change toward circular water management. While experimentation and collaborative governance are recognized as enablers of transformative change, their interaction remains complex and insufficiently understood. Experimentation offers flexibility and learning processes with innovative solutions, whereas collaborative governance is based on collective decision‐making and is often resistant to change. Despite the differences, both concepts complement each other and jointly shape the transformative potential of water systems. This paper unravels the interplay between collaborative dynamics and experimentation, advancing transformative potential in circular water systems. We operationalize the framework of Emerson et al. to analyze a Dutch case study in which a diverse actor network engages in water experiments and other initiatives aimed at developing a circular and resilient system. Data were collected through document analysis, four workshops, and 10 in‐depth interviews. The findings show that the transformative potential of a water system depends on key collaborative dynamics, including open and transparent deliberation to address conflicting interests, developing a mutual understanding, and determining collective actions. Deliberation also plays a central role in fostering mutual trust and shared commitment among stakeholders. In addition, clearly defined leadership, flexible procedural and institutional arrangements for experimentation, and the availability of financial and human resources are crucial to support the transformative potential of water systems. Finally, the study demonstrates that experiments contribute to transformative potential when they function as collaborative spaces in which stakeholders jointly engage in advancing a circular water system.\n"]

["Journal of Computer Assisted Learning, Volume 42, Issue 4, August 2026. ", "\nABSTRACT\n\nBackground\nThe Cognitive Theory of Multimedia Learning (CTML) has established fruitful principles to guide learners' attention and reduce their cognitive load. Although these principles have been shown to improve learning outcomes, it remains useful to examine learners' cognitive processes during learning using eye‐tracking techniques.\n\n\nObjectives\nTo mitigate cognitive load by segmenting content and directing the learner's attention to visual elements synchronised with auditory narration, we cumulatively presented visual segments within a single PowerPoint slide. We referred to this format as a cumulative presentation.\n\n\nMethods\nForty Japanese university students participated. They first completed a pre‐test to assess their prior knowledge, and subsequently viewed a biology lesson slideshow accompanied by teacher narration. In the cumulative presentation condition, visual elements were incrementally revealed alongside the narration, whereas in the whole‐slide presentation condition, all elements were presented simultaneously prior to narration. Throughout the session, we tracked the participants' eye movements. Following the lesson, all participants completed a post‐test identical to the pre‐test.\n\n\nResults and Conclusions\nLearning outcomes were significantly higher in the cumulative presentation condition than in the whole‐slide presentation condition (Cohen's d = 0.49). Participants in the cumulative presentation condition fixated earlier on visual elements congruent with the teacher's lecture (d = 1.76) and for longer durations (Cohen's d = 1.15). These findings demonstrate the effectiveness of cumulative presentation in enhancing learning and visual attention, provide empirical support for the segmenting principle, and suggest practical implications for designing multimedia instructional materials.\n\n"]

["Journal of Computer Assisted Learning, Volume 42, Issue 4, August 2026. ", "\nABSTRACT\n\nBackground\nIndividuals pursue goals for autonomous or controlled reasons, and distinct combinations of these motivations form daily motivational profiles. Although such profiles have been studied, little is known about their day‐to‐day stability and variability, which is critical for understanding how motivation evolves over time. How motivational and emotional dynamics emerge in the daily lives of university students remains unclear, and person‐oriented temporal analyses can reveal maladaptive patterns that mean‐level analyses often obscure.\n\n\nObjectives\nThis study aims to identify daily autonomous and controlled goal‐pursuit motivation profiles, examine their day‐to‐day stability and variability and explore how these profiles relate to university students' emotional transitions throughout the day.\n\n\nMethods\nUsing the VaSSTra method, we identified profiles that summarise students' motivational states for each day, examined sequences of these profiles across days, and clustered students who exhibited similar patterns of transitions. Multilevel modelling and transition network analysis were employed to explore the relationship between these profiles and students' emotional experiences and transitions.\n\n\nResults and Conclusions\nThree profiles emerged: high controlled goals, moderate intrinsic goals, and autonomous and moderate controlled goals. Transition network analysis revealed that students with moderate intrinsic or autonomous and moderate controlled profiles tended to maintain more positive emotional states, exhibiting fewer systematic emotional transitions. In contrast, on days marked by a high controlled goal‐pursuit profile, students were more likely to shift towards heightened negative emotions. This study extends theoretical perspectives on motivation and demonstrates the value of novel learning analytics for untangling the complex, interactive relationships between motivation and emotions.\n\n"]

["European Journal of Education, Volume 61, Issue 3, September 2026. ", "\nABSTRACT\nThis study aims to determine the student profiles of middle school students by examining their attitudes towards artificial intelligence (ATAI) and their computational identity (CI) structures. CI, which can be considered a domain‐specific form of cognitive identity in programming and AI contexts, was examined in four basic dimensions such as participation in programming, belonging, realization, and goal setting. The study examined ATAI as cognitive, affective, and behavioural components. The data obtained from 453 students studying in middle school in Turkey were evaluated with latent profile analysis (LPA). As a result of the study, it was found that the short form of the AI attitude scale also presented strong construct validity. On the other hand, three different student profiles were revealed according to LPA. Profile 1 represents students with a low level of AI attitude and a low level of cognitive identity, while Profile 2 consists of students with a high level of attitude and cognitive identity. Profile 3, on the other hand, consists of students who are in between these two groups and have medium level values. The multinomial logistic regression analysis was conducted as a supplementary within‐model comparison to examine how ATAI and CI components are structurally associated with profile differentiation, rather than to establish predictive relationships. The findings indicated that CI components represent the primary dimensions along which the profiles differ. On the other hand, demographic variables such as age, gender, or AI experience were not significantly associated with profile membership.\n"]

["European Journal of Education, Volume 61, Issue 3, September 2026. ", "\nABSTRACT\nThis qualitative study explores the implications of generative AI (GenAI) use in research for doctoral students' psychological well‐being and the associated disciplinary differences. It draws on Self‐Determination Theory (SDT) and interviews with 20 PhD students from diverse disciplines at a Chinese university. Findings reveal an overall positive picture: GenAI use in research can enhance doctoral students' psychological well‐being by boosting competence—through greater efficiency and less time pressure—and reinforcing autonomy via a stronger sense of empowerment and leadership. It also fosters relatedness by promoting secure attachment. Different patterns and nuances were identified across disciplines regarding senses of empowerment and the related sense of efficiency and leadership. Moreover, our findings caution that overusing GenAI in research may amplify peer pressure and compel doctoral students to engage in a publication rat race, worsening their well‐being. Overall, this paper highlights GenAI as a potential well‐being enabler for doctoral students and offers practical implications for universities.\n"]

["European Journal of Education, Volume 61, Issue 3, September 2026. ", "\nABSTRACT\nSelf‐regulated learning (SRL) components, such as motivation, cognitive skills and learning strategies, play a critical role in mathematics (math) learning. Using Bayesian Networks (BN), this study examines which SRL components predict membership in high (75th percentile) and low‐performing (25th percentile) groups in factual/procedural and conceptual math among middle school students (N = 658). The results revealed that cognitive skills—specifically identifying key information in texts, scientific thinking and attention—were direct predictors of factual/procedural and conceptual knowledge. Self‐efficacy also emerged as a consistent motivational predictor across all models. Quick and frequent help‐seeking during tasks was found to predict belonging to a group of low conceptual knowledge, while text comprehension and working memory were specifically related to factual/procedural skills. Indirect influences among SRL components were also identified. The study highlights how different SRL variables contribute to various dimensions of mathematical competence and contrasts the most influential predictors of belonging to either high‐ or low‐achieving student groups.\n"]

["European Journal of Education, Volume 61, Issue 3, September 2026. ", "\nABSTRACT\nA narrative of ‘deficit’ and ‘lack’ seem to represent Malaysian students as thinkers. In response, we were interested in exploring how teachers utilised Visible Thinking Routines (VTRs) to prompt, scaffold and support thinking among students in English language classrooms. Data were collected over a nine‐month period in two phases. Sixty‐five open‐ended survey responses and eight interviews were analysed thematically and three prominent themes emerged. First, teachers perceived VTRs as the ‘right tool for the job’, recognising their suitability in fostering thinking skills. Second, positive shifts in students' thinking and engagement were observed, with VTRs enabling more active participation, creativity and thoughtful responses. Finally, teachers identified balancing time constraints with deep thinking goals a challenge. Success stories can create ‘buy‐in’ to encourage others to consider this tool to promote thinking. If more teachers make thinking central to teaching, then more positive reports on Malaysian students as thinkers may surface, replacing the current narrative of ‘lack’ and ‘deficit’.\n"]

["European Journal of Education, Volume 61, Issue 3, September 2026. ", "\nABSTRACT\nThe present study aimed to model university students' behavioral intention in Kazakhstan to use ChatGPT for academic purposes, based on the extended technology acceptance model (TAM), and to examine correlations among variables expected to influence behavioral intention. A quantitative research method was employed in this study, which involved 200 higher education students. In addition to the main TAM components—perceived ease of use, perceived usefulness, and behavioral intention (BI)—five exogenous variables, which included subjective norm (SNM), school influence (SIE), peer influence (PIE), perceived enjoyment (PEN), and AI self‐efficacy (AISE), were included in the research model. The partial least squares structural equation model (PLS‐SEM) was utilized to analyze the proposed model. The proposed model provided a good fit for explaining BI among university students in Kazakhstan and accounted for 50.3% of the variance in BI. It was determined that perceived usefulness and perceived ease of use, along with the exogenous variables, are direct and indirect predictors of BI. The theoretical and practical implications of using ChatGPT for academic support were discussed in the study.\n"]

["Review of International Economics, EarlyView. ", "\nABSTRACT\nChina's Belt and Road Initiative (BRI) has driven a global surge in large‐scale infrastructure projects. While existing research has focused primarily on the BRI's effects on economic outcomes in participating countries, such as investment, trade, and debt dynamics, its economic and diplomatic implications for Western nations that do not participate in the BRI yet compete with China in global infrastructure development remain underexplored. This study addresses this gap by examining how the BRI has affected Japanese overseas infrastructure projects and Japan's diplomatic engagement with BRI countries. Using an event‐study framework within a staggered difference‐in‐differences design and a panel of 123 low‐ and middle‐income countries from 2007 to 2020, we find that the BRI significantly crowded out Japanese infrastructure projects and reduced visits to Japan by political leaders from BRI countries. These effects are especially pronounced among countries geographically proximate to Japan and China, where competitive pressures are most intense.\n"]

["Review of Development Economics, EarlyView. ", "\nABSTRACT\nThe widespread adoption of industrial robots in manufacturing is reshaping labor markets worldwide, yet its cross‐sectoral implications remain poorly understood. Using data from the China Labor‐force Dynamics Survey, this paper systematically examines how industrial robot adoption affects service‐sector labor income. The results show that the adoption of industrial robots generates significant positive cross‐sectoral spillovers and increases service‐sector labor income. Heterogeneity analysis indicates that the income gains are stronger in consumer services and high‐skill services, more pronounced in large cities, and larger for women and high‐skilled workers. Mechanism analysis further reveals that the service‐sector expansion effect and the labor reallocation effect are key channels through which industrial robot adoption affects service‐sector labor income. Further analysis suggests that a deeper division of labor in the service sector amplifies this positive income effect.\n"]

["The RAND Journal of Economics, EarlyView. ", "\nABSTRACT\nWe study the optimal design of a monopoly platform that interacts with heterogeneous firms and consumers who face uncertainty about product values and prices. Consumers search randomly among firms recommended by the platform. The platform designs a menu of contracts tailored to different firm types and allocates consumer visits across these firms. We show that the optimal platform design creates a “superstar effect,” whereby high‐type firms capture a disproportionately large market share, and improves consumer welfare relative to the no‐design benchmark."]

["The RAND Journal of Economics, EarlyView. ", "\nABSTRACT\nWe study oligopolistic competition by firms practicing second‐degree price discrimination. In line with the literature on demand estimation, our theory allows consumers' propensity to switch brands to vary with tastes for product quality. If low‐type consumers are sufficiently more (respectively, less) prone to switch brands than are high types, (i) quality provision is inefficiently low at the bottom (respectively, high at the top) of the product line, and (ii) informational rents are positive (respectively, negative) for high types and negative (respectively, positive) for low types. Interestingly, we show that an increase in the number of competing firms may decrease welfare (by tightening incentive constraints), so much so that monopoly may be welfare superior to oligopoly. Pure‐strategy equilibria fail to exist, resulting in price‐quality dispersion across firms, whenever the propensity to switch brands is sufficiently different across consumers types."]

["The RAND Journal of Economics, EarlyView. ", "\nABSTRACT\nThis article provides a full characterization of the competitive effects of horizontal mergers in the Cournot model with heterogeneous firms and constant marginal costs. We show that price effects depend only on the smaller merging firm's market share and the number of firms but are independent of the distribution of market shares among other firms. Standard concentration measures, instead, are often misleading. We also provide simple—yet general—closed‐form solutions for merger effects based on pre‐merger parameters. Moreover, we extend the model to study the combination of output and input market power and relate our results to the Merger Guidelines."]

["The RAND Journal of Economics, EarlyView. ", "\nABSTRACT\nWe study the market effects of sponsored search auctions for advertising space on searches for brands. In our model, n$n$ firms simultaneously choose the price of their product and the bids for the advertising auctions triggered by their own and rivals' brand keywords search. In any symmetric equilibrium, each firm wins its own keyword auction, and relative to a no‐ads benchmark, online advertising raises the winning brand's marginal cost and ultimately market prices. Only in an environment with strong initial asymmetries do we find that brand advertising might be beneficial."]

["The RAND Journal of Economics, EarlyView. ", "\nABSTRACT\nThis article examines the welfare consequences of a trade association in an exporting country on consumers in destination countries. We estimate a structural model of the Chilean Salmon exporting industry that endogenizes firms' pricing and export decisions. Our results show that the trade association has a positive effect on consumer utility and involves higher marginal costs of production, consistent with higher quality products. Reduced form analysis estimates price effects associated with trade association membership of 3 to 8 percent. Our counterfactual analysis reveals that eliminating the trade association would reduce consumer welfare by 1.7 billion USD in destination countries."]

["The Manchester School, EarlyView. ", "\nABSTRACT\nThis paper contributes to the literature on the relationship between financial development and GDP per capita growth, by considering both the total financial assets and the interconnectedness across the different financial sectors, as well as employing a more detailed sectoral classification. It focuses on a set of European advanced economies in the 1995–2023 period and finds that higher levels of total financial assets of banks and non‐banks are negatively associated with GDP per capita growth. The same is also true of measures of interconnectedness within the aggregate financial sector, which display a negative association in baseline specifications but are more sensitive to identification choices. These results reinforce the view that financial deepening beyond a certain point may hinder growth in advanced economies.\n"]

["JCMS: Journal of Common Market Studies, EarlyView. ", "\nAbstract\nThis article adopts a political ethnographic approach to follow narrative practices enacted by diplomats and bureaucrats during the trilogue negotiations of the European Union's (EU) Artificial Intelligence Act where inter‐institutional dynamics were at stake. I argue that when diplomats and bureaucrats negotiate AI, they also negotiate their desired position in a struggle over status in EU's diplomatic structures while constructing competing identities of the EU. The narrative analysis shows that three narrative positions endure, ethical and moral; national and economic; supranational and global, which interact through negotiation practices of brokerage and improvisation (re)negotiating social positions and (re)constructing three faces of a European AI identity. These narratives are not performed by a specific diplomat or bureaucrat but remain transversal, competing within and across national, ideological and institutional boundaries. The competing meanings are comprised into the AI Act constituting AI, its governance structure and the EU with ambiguous meanings."]

["Journal of Policy Analysis and Management, Volume 45, Issue 3, Summer 2026. ", "\nABSTRACT\nThe adoption of advanced technologies has transformed regulatory enforcement by enhancing data collection and accuracy across industries. However, these technological advancements have introduced new challenges in data reliability, as regulated firms possess superior technical control to generate favorable but inaccurate readings. This paper examines the effects of third‐party auditing in addressing these challenges by analyzing China's deployment of the data quality control system (DQCS) within the continuous emission monitoring system (CEMS). We find that the introduction of DQCS significantly restricts manipulations and improves data authenticity. Meanwhile, reported emission concentrations increase with data authenticity improvement, suggesting substantial prior underreporting. Furthermore, we observe a subsequent decline in pollutant concentrations, and this pollution reduction translates into measurable improvements in ambient air quality. Our study highlights the critical role of independent auditing in ensuring data integrity, especially in technology‐intensive regulatory settings. The Chinese government's efforts to institutionalize data verification within the CEMS framework provide valuable insight into strengthening the credibility of environmental data.\n"]

["Economica, EarlyView. ", "\nAbstract\nPathogen‐stress and terror‐management theories predict that lethal epidemics heighten parochial cooperation. We test this prediction experimentally in two nationally representative US samples surveyed before and at the onset of the COVID‐19 pandemic. We compare trust and expected trustworthiness across the two waves in monetarily incentivized trust games involving non‐Hispanic Whites, African Americans and Hispanics. We find significant ingroup favouritism in both waves. However, the aggregate ingroup premium fell by about one‐half between waves. This decline was concentrated among left‐leaning and moderate respondents. While non‐Hispanic Whites tended to reduce their ingroup bias in expected trustworthiness, the opposite was found for African Americans. Respondents more exposed to COVID‐19 displayed higher intergroup trust, altruism and expected trustworthiness than others. These results contradict the hypothesis that lethal epidemics intensify parochialism, also suggesting that the response may be diversified across groups.\n"]

["Economics &Politics, EarlyView. ", "\nABSTRACT\nConsidering the enactment of a pro‐creditor bankruptcy reform in India as an exogenous policy shock, we investigate its impact on firms' tendency to avoid taxes. Employing the difference‐in‐differences (DiD) methodology, we find that post‐bankruptcy reform, distressed firms significantly reduced their tax avoidance than non‐distressed firms. Our channel analysis shows that increased borrowings, along with higher return on equity (RoE) and sales growth, help distressed firms reduce tax avoidance as opposed to non‐distressed firms during the post‐IBC period. The reduction in tax avoidance is due to improved credit culture after the said reform. Furthermore, our findings remain qualitatively similar under DiD with matching technique and the randomization inference test.\n"]

["Agribusiness, EarlyView. ", "\nABSTRACT\nResilient agri‐input manufacturing is essential for stable food production, yet efficiency‐oriented investments may weaken resilience when key inputs become scarce. We examine this trade‐off in China's nitrogen fertilizer industry using a policy‐driven upstream shock, the 2008 coal mine consolidation campaign, which inadvertently tightened the supply of anthracite lump coal, an input required by coal‐gasification fertilizer plants. Using panel data on 843 firms (2001–2013), we build a probability‐based operational resilience score (0–1) from capacity‐utilization trajectories, defined as the probability of maintaining utilization above a viable long‐run equilibrium. Difference‐in‐differences estimates show that, after 2008, coal‐based producers suffered an average resilience decline of about 10 percentage points relative to non‐coal counterparts. The score is predictive, with a one‐standard‐deviation increase at the sample mean associated with about a 12‐percentage‐point lower probability of exit over the next 5 years. We further document a nonlinear, inverted U‐shaped relationship between total factor productivity (TFP) and resilience. Moderate‐productivity firms are most resilient, whereas both low‐ and high‐TFP firms suffer larger losses. This pattern is consistent with high productivity resting on dedicated assets and leaner buffers that limit adjustment when input availability changes sharply. State ownership is associated with roughly 5‐percentage‐point smaller losses, and vertical integration with upstream coal firms shows a weaker, directionally similar association. Overall, upstream regulation can transmit unanticipated risks into agri‐input supply chains, and flexibility and relational access to critical inputs complement efficiency in sustaining operational resilience in agri‐input manufacturing.\n"]

["Agribusiness, EarlyView. ", "\nABSTRACT\nFollowing international food safety incidents, the mechanisms for consumer stated preferences for origin‐labeled foods remain complex. Using the discharge of treated radioactive wastewater as a contextual shock, this study examines how consumer ethnocentrism and risk reactions can explain Chinese consumers' preferences for origin‐labeled aquatic foods (shrimp and ribbonfish). To address the measurement error and potential bias associated with generated regressors, we utilized an online discrete choice experiment and estimated Random Parameter Logit (RPL) and Integrated Choice and Latent Variable (ICLV) models. Results reveal a pronounced premium for domestic products. The main predictors are the affective component of consumer ethnocentrism and event‐specific risk perceptions, whereas general risk preferences lack predictive power for origin‐labeled preferences. Notably, perceived harm is associated with severe market rejection, as indicated by the Willingness‐to‐Pay for certain imported products dropping below zero. These findings inform the boundary conditions for origin‐based preferences. To support market stability, we recommend that agribusiness and policymakers move beyond generic information campaigns toward segment‐ and product‐specific risk communication, including clear origin‐based safety labeling that addresses event‐specific consumer anxieties.\n"]

["Population, Space and Place, Volume 32, Issue 5, July 2026. ", "\nABSTRACT\nThis article examines how politically structured deadlines and their accompanying countdowns generate dynamics of displacement by shaping anticipations of violence and prompting accelerated migration. Drawing on ethnographic research on Burundi's 2015 third‐term crisis and The Gambia's 2017 electoral impasse, we show how constitutional deadlines became timespace devices— instruments of temporal power that condensed speculations about danger, suspended ordinary relations to place and compelled anticipatory spatial decisions. Developing the concept of timespace, we conceptualise displacement not only as a reaction to violence but as an anticipatory practice shaped by the entanglement of approaching futures, remembered pasts and rapidly evolving presents: one in which people assess risks, map geographies of safety and make decisions, more or less urgently, about staying or leaving. By interrogating the timespace dimensions of politically structured deadlines, we argue that such deadlines are not merely temporal markers but mechanisms that progressively narrow open horizons of expectation into affective thresholds of anticipation, bearing unequally on differently positioned people and generating divergent anticipatory logics within a shared timespace of urgency. Situating these dynamics within broader debates in migration and displacement studies, the article calls for closer attention to the temporalities of anticipation and the social life of deadlines as forces shaping mobility and collective experience.\n"]

["Population, Space and Place, Volume 32, Issue 5, July 2026. ", "\nABSTRACT\nCollective nostalgia is a defining force in shaping the imagined homeland of Muslim Meskhetians, a community whose emotional attachment to Akhaltsikhe persists across borders, regimes, and generations. Based on multi‐sited qualitative research conducted in the United States (2012, 2014, and 2025) and Georgia (2017–2018), this article analyzes how Akhaltsikhe is remembered, felt, and symbolically inhabited by four generational cohorts who have experienced displacement differently. The findings show that the homeland functions not as a fixed geographical place but as an emotional and moral landscape sustained through inherited stories, ritual practices, domestic traditions, and embodied postmemory. Older generations evoke Akhaltsikhe as a site of rupture and dispossession; middle generations articulate it as an unfulfilled promise of return shaped by political exclusion; while younger generations relate to it as a symbolic point of origin they have never seen yet continue to protect through cultural practices and familial narratives.\nA key contribution of this study is the comparative analysis of two groups rarely examined together: Muslim Meskhetians repatriated to Georgia and those resettled in the United States. While repatriated families often experience Akhaltsikhe as a painful proximity—“near yet unreachable” due to legal, social, and political barriers—U.S.‐based Meskhetians imagine it as an idealized, purified homeland free from conflict. These divergent emotional geographies reveal how the same place can generate contrasting affective meanings depending on structural conditions of belonging and exclusion.\nBy integrating theories of collective nostalgia, imagined communities, and cultural memory, the article argues that Akhaltsikhe endures as a moral anchor and a transgenerational emotional horizon. It remains a homeland carried in memory rather than lived in space—sustaining diasporic identity across time, distance, and political uncertainty, even when physical return remains limited, contested, or impossible.\n"]

["Corporate Social Responsibility and Environmental Management, EarlyView. ", "\nABSTRACT\nThis study provides exploratory evidence on whether going public may act as a catalyst for corporate sustainability and examines whether board‐level governance arrangements shape post‐IPO sustainability trajectories. Drawing on a formal conceptual framework that integrates agency theory, legitimacy theory, and the resource‐based view as distinct mechanisms generating pillar‐specific predictions, we analyze a panel of 495 Euro Area IPO firms over up to 9 years following listing. We estimate within‐firm specifications with year fixed effects and complement them with event‐time analyses to document systematic post‐IPO ESG dynamics. We then examine whether governance characteristics, such as the presence of the CSR Committee, board independence, and board gender diversity, are associated with stronger post‐IPO sustainability profiles, consistent with the view that governance structures help translate public‐market scrutiny into organizational change. The results document heterogeneous dynamics across the three ESG pillars. Governance scores improve rapidly in the early post‐listing years and stabilize sooner, consistent with the structural adjustments predicted by agency theory, while environmental and social performance accumulates more gradually and persistently, in line with legitimacy‐driven stakeholder pressure and resource‐based capability building. Governance mechanisms operate through pillar‐specific channels: CSR Committees are positively associated with environmental and social outcomes but not with governance scores, while board independence and gender diversity are most strongly related to governance improvements. The evidence offers descriptive and mechanism‐oriented insights that motivate future causal tests of listing as a sustainability trigger.\n"]

["Corporate Social Responsibility and Environmental Management, EarlyView. ", "\nABSTRACT\nWhat do environmental, social and governance (ESG) ratings signal, and who are the stakeholders that respond to the signal? This study investigates the association between ESG ratings and ESG controversies using ratings from Bloomberg, Refinitiv and Sustainalytics, and controversy scores from Refinitiv and Sustainalytics on a sample of S&P 500 companies between 2018 and 2022. Sustainalytics' scores demonstrate consistent statistical significance in explaining ESG controversies, while Bloomberg's and Refinitiv's ESG scores show unintuitive associations. The ESG methodologies of the three raters are examined to understand the variation in inter‐rater efficacy. Differences in conceptualization and measurement lead to variations in efficacy, suggesting that ratings do not signal the same performance outcomes. Therefore, ESG ratings are not fungible and must be assessed against suitable ex‐post performance metrics. Ratings that better explain ex‐post performance should be better suited to support the strategic identification of ESG performance and be more reliable for mapping ESG performance to corporate financial performance.\n"]

["Corporate Social Responsibility and Environmental Management, EarlyView. ", "\nABSTRACT\nIn modern business dynamics of generative AI and ecological imperatives, organizations put increasing emphasis on integrating and transforming sustainability orientations and digital intelligence into actionable green business transformation. This research develops and examines the novel perspective of integrating dynamic capability theory and sensemaking theory to explain how generative AI‐enabled capabilities and sustainability‐oriented strategic intent jointly contribute to green business transformation through organizational sensemaking processes. This model also tests the moderating role of CSR commitment on the relationships between green market sensing and green business transformation. Using a three‐wave time‐lagged survey design, data were collected from managerial informants in fashion brands, resulting in a final sample of 273 responses, and hypotheses were tested using Hayes' PROCESS macro with bootstrapping procedures. The results show that green strategic orientation and generative AI capability enhance green market sensing, which further promotes green business transformation. Importantly, green strategic orientation and generative AI capability positively affect green business transformation through green market sensing. Also, CSR commitment strengthens the enactment of green market sensemaking on green business transformation. Through an integrated theoretical perspective and digitally mediated interpretive process supported by green strategic intent and normative commitment, the study advances sustainability forces that foster contemporary green business transformation.\n"]

["Corporate Social Responsibility and Environmental Management, EarlyView. ", "\nABSTRACT\nAs environmental pressures intensify and regulatory expectations rise, many SMEs continue to operate without the managerial knowledge, learning infrastructures, or digital capabilities required to translate sustainability intentions into action. This disconnect poses a serious risk, not only to firm survival, but to national and global sustainability agendas. Addressing this gap, the study examines how managerial knowledge of Sustainability Management Tools (SMTs) influences sustainability practices, whether organizational learning capability serves as the mechanism through which knowledge becomes action, and how digitalization enhances this process. Drawing on survey data from 564 Ghanaian SMEs and employing Co‐variance Based Structural Equation Modeling, the findings reveal that SMT knowledge significantly and positively influences sustainability practices, with organizational learning capability partially mediating this relationship. Moreover, digitalization strengthens the effect of learning on sustainability outcomes, underscoring its role as a critical enabler. The study offers a compelling capability‐based framework for advancing SME sustainability in resource‐constrained environments.\n"]

["Business Strategy and the Environment, EarlyView. ", "\nABSTRACT\nAs the volume and complexity of electronic waste grow worldwide, regional and subnational systems are increasingly tasked with managing the environmental, economic, and social challenges of circular resource recovery. This paper focuses on Canada's e‐waste sector to examine how circular economy (ce) principles can be integrated into regional governance frameworks. Drawing on a novel methodology with artificial intelligence (AI), natural language processing (NLP), K‐means clustering, and theory of change (ToC) modeling, the study synthesizes over 200 academic texts to map transformation pathways toward sustainable e‐waste management. Our findings highlight gaps in national policy across provinces and the underutilized potential of community‐led and youth‐driven circular initiatives.\n"]

["Business Strategy and the Environment, EarlyView. ", "\nABSTRACT\nInstitutional investors increasingly rely on ESG ratings to evaluate financially material sustainability risks, while governments promote corporate alignment with the United Nations Sustainable Development Goals (SDGs). Because these frameworks differ substantially in capital market salience and monitoring intensity, board oversight may not uniformly enhance sustainability performance but instead reallocate attention across competing evaluative regimes. Drawing on institutional logics theory and the attention‐based view of the firm, we develop the ESG–SDG wedge, a novel measure capturing within‐industry‐year divergence between standardized ESG ratings and SDG alignment breadth. Using panel data on 951 publicly listed firms across US and European markets from 2018 to 2023 (4404 firm‐year observations), we estimate two‐way fixed effects (TWFE) models and implement staggered difference‐in‐differences designs around 173 CSR committee adoption events using the Sun and Abraham (2021) interaction‐weighted estimator combined with inverse probability weighting. We find that CSR committees are associated with ESG–SDG wedges 0.21 standard deviations larger than comparable peers, with causal estimates approaching 0.30 standard deviations under validated parallel trends. Board industry‐financial expertise exhibits similar patterns. Mechanism analyses reveal pronounced asymmetry: Governance structures relate substantially more strongly to ESG ratings than to SDG alignment. This divergence is concentrated among US firms relative to European counterparts and varies systematically across industries with differing ESG materiality profiles. These findings challenge the assumption that specialized oversight uniformly strengthens multidimensional sustainability performance. Board governance reallocates constrained attention toward criteria embedded in capital market processes, generating systematic divergence across sustainability frameworks—with important implications for corporate sustainability governance design, ESG investment strategy, and sustainable development policy.\n"]

["Business Strategy and the Environment, EarlyView. ", "\nABSTRACT\nAs climate change and environmental deterioration continue to escalate due to substantial CO2 emissions, nations worldwide are implementing approaches to alleviate CO2 emissions and accomplish carbon neutrality (CNE) goals. The current study examined CNE objectives for five selected nations in Africa, spanning from 1990 to 2022. This paper assessed the effects of economic policy uncertainty (EPU), renewable energy transition (RET), environmental technology (ENT), and environmental governance (ENG) on CNE. The paper employed the Fully Modified OLS (FMOLS), DOLS, as well as the Fixed Effects regressions. The findings of the paper show that RET assists in enhancing the CNE objectives in the chosen five African countries. Furthermore, the paper's results show that ENG, ENT, and environmental policy uncertainties are disruptive to CNE progress. Accordingly, the pairwise Granger causality outcomes indicated a unidirectional causality between ENG, ENT, and CNE, whereas there exists a bidirectional causality between EPU, RET, and CNE. Lastly, this research offers policymakers, governments, and stakeholders with valuable recommendations and insights for fostering resilience and ecological quality in the understudied African region.\n"]

["Business Strategy and the Environment, EarlyView. ", "\nABSTRACT\nWe examine corporate environmental performance (CEP) as a multidimensional system rather than isolated outcomes. Combining institutional and behavioral perspectives, we analyze four domains—CO2 emissions, waste, energy, and water—using S&P 500 firms that disclosed data on all four domains (2006–2024). Seemingly, unrelated regressions suggest that industry norms and profitability relative to peers are associated with environmental outcomes similarly across domains, while slack shows weaker patterns. Within this reporting sample, lower emissions, waste, and energy use are associated with higher subsequent Tobin's Q, and firms performing well across all four domains receive the largest valuation premium. These findings suggest that, among large firms with mature disclosure, CEP may reflect integrated capability development rather than domain‐specific responses.\n"]

["Business Strategy and the Environment, EarlyView. ", "\nABSTRACT\nThis study explores participatory processes in the context of marine conservation, with a specific focus on recent initiatives undertaken by the Apulia region in Italy to establish a new Marine Protected Area (MPA). Employing a qualitative cross‐sectional methodology, the study investigates how local communities perceive and engage with the MPA creation process, identifying the key constraints and opportunities that shape their participation. The research aims to address a significant gap in the literature concerning stakeholder engagement in marine resource conservation. By providing empirical insights into public involvement and extending the discourse on MPAs, the study contributes to advancing the understanding of participatory governance in maritime environmental protection.\n"]

["Business Strategy and the Environment, EarlyView. ", "\nABSTRACT\nAlthough blockchain is crucial for corporate sustainability, how to leverage social capital to develop blockchain capability and thereby improve sustainable performance remains unclear. Drawing on social capital theory and dynamic capability theory, we integrate quantitative and qualitative research into an explanatory sequential mixed‐methods design. In the first step, based on a survey of 203 enterprises, we find that internal social capital promotes sustainable performance; however, external social capital must be fully mediated by blockchain capability to improve sustainable performance. Furthermore, we reveal that corporate social responsibility (CSR) negatively moderates the relationship between internal social capital and blockchain capability. In the second step, we employ an in‐depth case study designed to elaborate on the underlying mechanisms behind the quantitative results and provide contextualized theoretical explanations for the unsupported hypotheses. Specifically, (1) we reveal that high levels of internal trust create trust redundancy, rendering blockchain technology superfluous for internal governance; (2) external social capital requires technological “solidification” through immutable digital tracking to prevent opportunism and trust leakage; and (3) high‐level CSR establishes institutional trust and brand reputation, which functionally substitute for the trust‐enhancing role of blockchain and lead to a resource crowding‐out effect. By integrating quantitative and qualitative findings, this study identifies a contingent substitution logic where CSR attenuates the conversion of internal social capital into blockchain capability, whereas external social capital appears to require technological “solidification” to translate into performance.\n"]

["Business Strategy and the Environment, EarlyView. ", "\nABSTRACT\nThis study examines how earnings management shapes the relationship between CEO characteristics, i.e., gender, education, age, tenure and financial expertise, and corporate carbon disclosure. While prior research links managerial attributes to environmental transparency, limited attention has been paid to the role of financial reporting incentives and contextual contingencies in explaining heterogeneous outcomes. Drawing on a sample of Chinese listed firms, we find that earnings management significantly moderates the association between CEO characteristics and carbon disclosure, although the direction and magnitude of this effect vary across firms. We further show that firm‐level risk tolerance and environmental uncertainty act as important boundary conditions. In high‐risk‐tolerance firms, CEO age is negatively associated with carbon disclosure, whereas female and more‐educated CEOs are associated with higher disclosure levels; these relationships are not observed in low‐risk‐tolerance firms. Under high environmental uncertainty, female CEOs disclose more carbon information, while longer‐tenured CEOs disclose less. In contrast, in low‐uncertainty contexts, older CEOs disclose more, whereas CEOs with higher education and financial expertise disclose less. Our results are robust to alternative measures and sensitivity tests. Focusing on China, this study highlights the conditional role of managerial traits in environmental reporting and offers implications for governance design and disclosure oversight. Our findings should be interpreted cautiously as they are based on Chinese listed firms and CEO demographic proxies, which may limit generalisability and may not fully capture underlying managerial mechanisms.\n"]

["Business Ethics, the Environment &Responsibility, EarlyView. ", "\nABSTRACT\nAs environmental concerns reshape corporate landscapes, understanding how Corporate Environmental Sustainability Information Disclosure (CESID) influences financial stability is crucial. This study explores the relationship between CESID and financial default risk in Chinese A‐share listed firms from 2009 to 2020, emphasizing the role of internal control quality and institutional investors as key moderating factors. Using Ordinary Least Squares (OLS) regression with firm‐ and year‐fixed effects, alongside robust econometric techniques including lagged variables, propensity score matching (PSM), entropy balancing, and alternative financial distress measures, we ensure the robustness of our findings. Our results show that higher CESID levels significantly reduce financial default risk, particularly in firms with strong internal controls and greater institutional investor presence. These findings align with agency theory, highlighting governance mechanisms that mitigate information asymmetry, and stakeholder theory, demonstrating how transparency fosters trust and reduces financial distress. This study contributes to the sustainability and finance literature by positioning CESID as a strategic tool for financial risk management in emerging markets. The findings provide important guidance for policymakers and business executives, highlighting the importance of robust governance structures, supportive regulatory measures, and greater transparency in strengthening financial stability and promoting long‐term sustainability.\n"]

["The World Economy, EarlyView. ", "\nABSTRACT\nThis study analyses weekly port calls from 2019 to 2026 to evaluate the Russia–Ukraine war's impact on maritime trade. The data reveals clear structural shifts that Ukrainian traffic moved from high‐risk areas like Odesa to safer Danube River ports. On the other hand, Russia sustained its maritime activity by navigating sanctions and redirecting exports to Asian markets. The Black Sea Grain Initiative also improved navigation conditions for both countries. Overall, the war caused domestic port substitution within Ukraine and a broader logistical reorganization for Russia.\n"]