Search Results (199)

This study explores the challenges and theoretical transformations that the widespread application of AI technology in social governance brings to the protection of citizens’ fundamental rights. By examining typical cases in judicial assistance, technology-enabled law enforcement, and welfare supervision, it explains how AI characteristics such as algorithmic opacity, data bias, and automated decision-making affect fundamental rights including due process, equal protection, and privacy. The article traces the historical evolution of privacy theory from physical space protection to informational self-determination and further to modern data rights, pointing out the inadequacy of traditional rights-protection paradigms in addressing the characteristics of AI technology. Through analyzing AI-governance models in the European Union, the United States, Northeast Asia, and international organizations, it demonstrates diverse governance approaches ranging from systematic risk regulation to decentralized industry regulation. With a special focus on China, the article analyzes the special challenges faced in AI governance and proposes specific recommendations for improving AI-governance paths. The article argues that only within the track of the rule of law, through continuous theoretical innovation, institutional construction, and international cooperation, can AI technology development be ensured to serve human dignity, freedom, and fair justice. Full article

The renovation of old urban residential areas is and will continue to be an important part of urban renewal in China. The renovation of existing old urban residential areas focuses more on the physical level of renovation and pays insufficient attention to the improvement of collaborative community governance. However, collaborative community governance is the key to sustainable renovation. This study aims to explore the formation mechanism of multiple subjects’ collaborative governance in the renovation of old urban residential areas. A general collaborative governance theoretical framework was adopted and adjusted by innovatively introducing the improvement of collaborative community governance in old urban residential areas as an important variable in collaborative results. Data were collected through 853 questionnaires in 16 provinces across China and analyzed using Structural Equation Modeling. Data analysis reveals the following conclusions: (1) institution design and the collaborative process have significant positive impacts on collaborative results, while facilitative leadership has a negative impact; (2) the collaborative process is an important mediating variable on collaborative results; (3) government departments’ and residents’ self-governing organizations play important roles in improving collaborative community governance. Face-to-face dialogue and consultation, information disclosure and transparency, and reaching an intermediate consensus are important mediator variables. The research results provide theoretical support and practical suggestions for promoting the improvement of multiple-subject collaboration through old urban residential area renovation. Full article

This study examines the distinctive male leadership—comprising procurators, parish priests, and chaplains—of the beguinage of St. Elizabeth in Valenciennes during the thirteenth and fourteenth centuries. Contrary to the majority of beguine communities in the southern Low Countries, where leadership appointments were dictated by religious or secular authorities, this community was entitled to elect its male administrators autonomously. The elected were generally influential figures in local religious and secular affairs and maintained a close relationship with the comital family of Hainaut. The analysis will demonstrate how this politically embedded ecclesiastical framework not only ensured doctrinal legitimacy but also mediated conflicts between secular lords and church authorities, thus enabling the community’s survival amid accusations of heresy and institutional repression. By examining the electoral criteria and functional specialization of male leaders, and their interactions with self-governed beguines, this research tries to offer a new perspective on the complex governance strategies of the medieval beguine movement. Full article

In higher education, the emotional intelligence (EI) of university professors, defined as the ability to perceive, understand, manage and utilize emotions effectively, is increasingly recognized as a pivotal factor in enhancing students’ academic achievement and psychological well-being. However, the scarcity of studies directly linking professors’ EI to students’ well-being highlights a critical research gap. This systematic review investigates how professors’ emotional competencies influence student outcomes—such as academic performance, engagement, motivation, and mental health—and identifies the factors that mediate or moderate these effects. Findings indicate that professors’ EI, particularly empathy, emotional regulation, and interpersonal skills, significantly enhances student engagement, motivation, and academic satisfaction, with indirect effects on psychological well-being. Cultural context, teaching modality (e.g., online vs. in-person), and professors’ age and experience moderate these effects and influence effect sizes. Qualitative synthesis further highlighted contextual gaps in the literature. The limited focus on well-being and outcomes and reliance on self-report measures underscore the need for longitudinal, culturally diverse studies and performance-based EI assessments. The value of this research lies in its potential to inform evidence-based educational practices and institutional policies. By elucidating the role of professors’ EI, the review lays the groundwork for developing faculty training programs aimed at strengthening emotional competencies and fostering inclusive, supportive learning environments that promote student growth and resilience. This is especially relevant given the growing prevalence of stress, anxiety, and disengagement among university students, exacerbated by post-pandemic challenges and academic pressures. Understanding the impact of EI can inform culturally responsive interventions, improve student retention, and enhance institutional effectiveness, thereby addressing a pressing need in contemporary higher education. In today’s rapidly evolving technological, social, and cultural landscape, universities have both the opportunity and the responsibility to act as catalysts for the creation of an educational culture that promotes social well-being. This requires adopting educational and organizational models that prioritize human care and the quality of interpersonal relationships. To be effective, these priorities must be integrated into all university operations, from governance to student support and talent development. Full article

Rural tourism has emerged as an efficient strategy for rural revitalization while having various impacts on rural governance. Previous studies predominantly focused on the social implications of rural tourism and its impact on institutional arrangements while neglecting the influence of rural tourism on collective action in rural governance. This study employed a social–ecological system (SES) framework to investigate the influence of rural tourism on rural collective action, utilizing survey data from 22 provinces (autonomous regions and municipalities directly under the central government), 178 villages, and 3282 rural households across China. The findings revealed that rural tourism exerted a positive influence on collective action, primarily through labor force reflow mechanisms. Specifically, the leadership of village cadres had a moderating role in enhancing this positive correlation. Further analysis revealed significant heterogeneity in tourism governance effects: non-plain regions and villages with medium to low economic development levels exhibited substantial improvements in collective action, whereas plain areas and economically advanced villages may manifest potentially negative impacts. Theoretically, this study contributes to elucidating tourism-driven self-governance mechanisms by applying the SES framework, thereby transcending the traditional dualistic debate between state-market and development-governance paradigms. Practically, we propose institutional designs that embed collective action mechanisms into the coupled synergistic development of rural tourism and community governance, thereby activating endogenous motivations for rural self-governance. Full article

Proclaiming Our Roots (POR) began as an academic community-based research initiative documenting Afro-Indigenous identities and lived experiences through digital oral storytelling. Since its inception, Proclaiming Our Roots has grown into a grassroots social movement focused on self-determination, cultural reclamation, and resistance to colonial erasure. This paper explores Proclaiming Our Root’s evolution, from a research project to a grassroots social movement, analyzing how storytelling, relational accountability, and Indigenous, Black, and Afro-Indigenous governance have shaped its development. Drawing on Indigenous methodologies and grounded in Afro-Indigenous worldviews, we examine how POR mobilizes digital storytelling, community gatherings, and intergenerational dialog to give voice to Afro-Indigenous identity, build collective consciousness, and challenge dominant narratives that erase or marginalize Black, Indigenous, and Afro-Indigenous presence. Through a sharing circle involving Proclaiming Our Roots community members, advisory council members, and the research team, in this paper we identify key themes that reflect the movement’s transformative impact: Identity and Belonging, Storytelling as Decolonial Praxis, Healing, Spirituality and Collective Consciousness, and Resistance and Social Movement Building. We discuss how these themes illustrate Proclaiming Our Roots’ dual role as a site of knowledge production and political action, navigating tensions between institutional affiliation and community autonomy. By prioritizing Afro-Indigenous epistemologies and centering lived experience, POR demonstrates how academic research can be a foundation for long-term, relational, and community-led movement-building. In this paper, we want to contribute to broader discussions around the sustainability of grassroots movements, the role of storytelling in social change for Indigenous and Black Peoples, and the possibilities of decolonial knowledge production as epistemic justice. We offer a model for how academic research-initiated projects can remain accountable to the communities with whom we work, while actively participating in liberatory re-imaginings. Full article

Background: Landscape approaches are recognized for their holistic view on development and conservation. However, they encounter sustainability and localization challenges due to short-term funding constraints and dependence on external experts. In this paper, we examine commoning as a means of land tenure interventions that enable mixed land use and community stewardship. Methods: Based on desk research and 20 interviews, an institutional analysis was performed on two landscape management cases to shed light on commoning processes and land tenure changes, as well as their impact on land use and community stewardship. Results: In the first case, a collaborative governance model was developed through policy interventions, which provided not only institutional frameworks but also financial resources to incentivize landowners to cooperate with nature conservation groups and share management rights over their land. In the second case, a community land trust model was used by self-organized civil society actors to develop ecovillage practices and ensure the balance of conservation and agricultural uses. In both cases, we found that land tenure innovations in terms of boundary rules, choice rules, aggregation rules, as well as rules for higher-level action situations, were key to enabling land rights sharing, mixed land use, and different levels of stewardship depending on the preferences and capacity of stakeholders. Conclusions: Commoning could address the sustainability and localization challenges faced by landscape approaches to mixed land use and long-term adaptive management. Full article

Amid accelerating globalization and urbanization, regional revitalization has become a key policy direction for countries to address regional decline. Among these, social capital and community empowerment can significantly promote regional development. Social capital emphasizes how trust, norms, and reciprocity facilitate collective action, while community empowerment focuses on improving residents’ participation and autonomous decision-making capacity. Existing research primarily focuses on cases from Europe and America; there is no in-depth exploration of the interaction between regional revitalization and social capital in Taiwan. Notably, systematic studies are lacking regarding the mechanisms through which University Social Responsibility (USR) programs engage and promote community development. This study takes the Wanli and Jinshan districts in northern Taiwan as case study examples. We employ action research and qualitative research methods to analyze the role of social capital and community empowerment in regional revitalization. This paper reviews how internal trust and cooperation within a community build bonding social capital. It explores how USR programs promote collaboration between communities and external resources through bridging social capital. The findings indicate that bonding social capital can enhance community cohesion and support regional revitalization efforts; bridging social capital can introduce academic, corporate, and governmental resources, providing technical and financial support for community innovation. The participatory mechanism of USR programs not only fosters civic awareness development but also offers a cross-organizational cooperation platform for regional revitalization, enabling communities to integrate internal and external resources more effectively. The results of this study indicate that bonding and bridging social capital can achieve complementary effects through USR programs, further promoting community empowerment and regional development. This study deepens the application of social capital theory in regional revitalization. It provides an empirical basis for policymakers and academic institutions to optimize the planning and implementation of future USR programs. While the study focuses on a geographically bounded set of cases and employs an exploratory qualitative design, these choices enabled a rich, context-sensitive understanding of how regional self-governance and community capital may be strengthened in practice. Future research could extend this line of inquiry by examining additional locales, adopting longitudinal perspectives, and integrating mixed-method approaches, thereby further amplifying the robustness and applicability of the propositions advanced here. Full article

In the process of social development, there is a contradiction between economic development and the ecological environment. Western countries were the first to experience the inverted U-shaped development model of “destruction first and compensation later”, and China is also facing similar problems. To reveal the formation mechanism and dynamic evolution of the inflection point of ecological environment changes in China, this paper combines the entropy weight method, the analytic hierarchy process, and quadratic curve fitting to construct the “Ecological Pressure Index—GDPP Model” and studies the inflection point of ecological pressure during China’s economic development from 2000 to 2022. The study shows that the key inflection point of China’s ecological environment pressure is between 2016 and 2017, which is mainly affected by multiple factors such as the economy, domestic and international situations, and policy adjustments. For example, the implementation of the “Supply-side Structural Reform” and the environmental protection supervision system has significantly reduced the pollution pressure. At the same time, the “inflection point” is applied to dynamically adjust the PSR model, revealing the stage transition of China’s environmental governance focus. For instance, from 2000 to 2016, end-of-pipe pollution treatment was dominant (for example, the weights of pollution emission indicators X₅–X₈ were relatively high), while after 2016, the focus of governance shifted to the restoration of ecological space (for example, the weight of nature reserves X₂₂ was 2.759%). The theoretical contribution of this paper lies in proposing the concept of “Policy-driven EKC”, emphasizing the core role of policy intervention in the formation of the inflection point of the ecological environment. In addition, the dynamic adjustment of the PSR model using the “inflection point” better interprets China’s self-transformation in the development process and provides other developing countries with a Chinese solution of “institutional innovation first” and the “Policy-driven EKC—Chinese PSR Model” for reference in balancing economic growth and ecological protection. Full article

Amidst global economic fluctuations and escalating geopolitical risks, gold futures, as a pivotal safe-haven asset, demonstrate price dynamics that directly impact investor decision-making and risk mitigation effectiveness. Traditional forecasting models face significant limitations in capturing long-term trends, addressing abrupt volatility, and mitigating multi-source noise within complex market environments characterized by nonlinear interactions and extreme events. Current research predominantly focuses on single-model approaches (e.g., ARIMA or standalone neural networks), inadequately addressing the synergistic effects of multimodal market signals (e.g., cross-market index linkages, exchange rate fluctuations, and policy shifts) and lacking the systematic validation of model robustness under extreme events. Furthermore, feature selection often relies on empirical assumptions, failing to uncover non-explicit correlations between market factors and gold futures prices. A review of the global literature reveals three critical gaps: (1) the insufficient integration of temporal dependency and global attention mechanisms, leading to imbalanced predictions of long-term trends and short-term volatility; (2) the neglect of dynamic coupling effects among cross-market risk factors, such as energy ETF-metal market spillovers; and (3) the absence of hybrid architectures tailored for high-frequency noise environments, limiting predictive utility for decision support. This study proposes a three-stage LSTM–Transformer–XGBoost fusion framework. Firstly, XGBoost-based feature importance ranking identifies six key drivers from thirty-six candidate indicators: the NASDAQ Index, S&P 500 closing price, silver futures, USD/CNY exchange rate, China’s 1-year Treasury yield, and Guotai Zhongzheng Coal ETF. Second, a dual-channel deep learning architecture integrates LSTM for long-term temporal memory and Transformer with multi-head self-attention to decode implicit relationships in unstructured signals (e.g., market sentiment and climate policies). Third, rolling-window forecasting is conducted using daily gold futures prices from the Shanghai Futures Exchange (2015–2025). Key innovations include the following: (1) a bidirectional LSTM–Transformer interaction architecture employing cross-attention mechanisms to dynamically couple global market context with local temporal features, surpassing traditional linear combinations; (2) a Dynamic Hierarchical Partition Framework (DHPF) that stratifies data into four dimensions (price trends, volatility, external correlations, and event shocks) to address multi-driver complexity; (3) a dual-loop adaptive mechanism enabling endogenous parameter updates and exogenous environmental perception to minimize prediction error volatility. This research proposes innovative cross-modal fusion frameworks for gold futures forecasting, providing financial institutions with robust quantitative tools to enhance asset allocation optimization and strengthen risk hedging strategies. It also provides an interpretable hybrid framework for derivative pricing intelligence. Future applications could leverage high-frequency data sharing and cross-market risk contagion models to enhance China’s influence in global gold pricing governance. Full article

This study employs the social–ecological system (SES) framework to investigate the operational mechanisms of farmer apartment housing in Village L, demonstrating how such mechanisms ensure housing security for villagers in land-constrained contexts. Through a case analysis of Village L, we reveal that the effective implementation of farmer apartments relies on four interconnected elements: socio-political and economic conditions, homestead resource allocation within the resource system, institutional governance rules, and collaborative interactions among the government, village collectives, villagers, and enterprises. By integrating fragmented resources, optimizing participatory governance, and fostering multi-stakeholder cooperation, Village L has established a closed-loop operational model of “resource intensification–democratic decision-making–synergistic co-construction”. This model preserves villagers’ homestead entitlements and addresses housing demands through centralized construction, striking a balance between equity and efficiency in land-scarce areas. The findings underscore that farmer apartment housing represents a viable pathway for achieving “housing-for-all” in resource-limited areas, contingent upon institutionalizing village collectives’ self-governance capabilities and incentivizing broader societal participation (e.g., NGOs and enterprises) to form a diversified investment framework. Policy refinements should prioritize scaling context-specific governance innovations while safeguarding farmers’ land rights during urbanization transitions, offering replicable insights for regions facing similar land use challenges. Full article

The competitiveness of rural tourism destinations holds significant implications not only for local livelihood sustainability and regional development but also for the preservation and continuity of human civilization. However, developing countries face a critical challenge where rural tourism destination competitiveness is being progressively undermined by the pervasive homogenization of tourism products. The existing literature demonstrates limited engagement with mitigation strategies for tourism product homogenization in examinations of rural destination competitiveness. This study conceptualizes tourism product homogenization as a manifestation of the tragedy of tourism commons, proposing that self-governance can foster rural tourism destination competitive advantages through resolving such collective action dilemmas. Employing a combined IAD-SES framework, the investigation analyzes interview data from Yuanjia Village in Shaanxi Province, China. The analysis delineates how self-governance dynamically enhances and sustains rural tourism destination competitiveness through four institutional mechanisms: provision rules, appropriation rules, monitoring protocols, and sanctioning systems. Furthermore, the findings reveal that the competitiveness driven by self-governance demonstrates the capacity to align individual interests with collective societal benefits. This research contributes to tourism scholarship by identifying novel institutional determinants of tourism destination competitiveness and proposing a policy framework for addressing product homogenization challenges throughout the rural tourism area life cycle. Full article

In this paper, we investigate the impact of religion on the money laundering risk, focusing specifically on Protestantism compared to other religions. Protestantism is often associated with greater individual self-discipline and stronger institutional economic governance. Analysing data from 27 EU member states, we find that Protestant countries exhibit a lower risk of money laundering. Additionally, our findings indicate that Protestantism exerts a distinct influence that is separate from the overall religiosity levels of countries. Our results remain robust across various estimation models and when incorporating additional governance and cultural control variables. This study enhances our understanding of the significant role that religion plays in shaping individual behaviour toward financial fraud, particularly money laundering. Full article

This study aimed to identify patterns of sustainability engagement based on circular economy (CE) strategy implementation, CE-oriented collaborative relationships, and environmental, social, and governance (ESG) performance, as well as to investigate whether these dimensions predict corporate reputation. Data were collected through a survey of 235 upper-level managers in the Brazilian agribusiness sector. A two-step analytical approach was applied, with cluster analysis identifying groups exhibiting distinct patterns regarding sustainability engagement (“Very Sustainable” and “Low-Sustainable”), followed by logistic regression, which singled out six key predictors among 28 variables, namely avoiding non-sustainable materials, repurposing by-products, fostering a shared CE vision, adhering to ethical guidelines, ensuring financial transparency, and fair labor practices. The final model achieved 83.4% accuracy, underscoring how an integrated approach to sustainability enhances corporate reputation. Considering its theoretical contributions, this study extends the NRBV and RV theories by demonstrating that CE strategies, CE-oriented collaborative relationships, and ESG performance strengthen pollution prevention initiatives, sustainable product development efforts, and trust among partners, among other achievements, thereby enhancing firms’ reputation and sustainable performance. Methodologically, the study integrates cluster analysis and predictive modeling to assess sustainability’s impact on reputation. From a managerial perspective, findings emphasize that corporate reputation benefits from circularity, governance integrity, and stakeholder engagement. However, the cross-sectional design, industry-specific sample, and reliance on self-reported data limit generalizability. Future research should adopt longitudinal and cross-industry approaches, examining regulatory shifts, technological advances, and evolving stakeholder demands in the sustainability–reputation nexus while incorporating external data sources to assess variations across institutional and cultural settings. Full article

The leadership structure within educational institutions has a significant bearing on teacher job satisfaction (TJS). This study employs data from the OECD’s Teaching and Learning International Survey (TALIS 2018) specific to Shanghai to construct a structural equation model that investigates how distributed leadership (DL) impacts TJS in China. Findings reveal that DL has a markedly positive effect on the job satisfaction of teachers in China. Teacher self-efficacy (TSE) serves as an independent mediator in this relationship, while teacher collaboration (TC) does not mediate independently; nonetheless, both collaborate sequentially in a mediation pathway. These findings affirm the relevance of DL in the Chinese educational setting, offering empirical evidence to inform policymakers. Furthermore, it underscores that enhancing TC and TSE can lead to increased job satisfaction under DL. The results highlight the practical implications of this study for the advancement of educational governance and the optimization of school management models in China. Full article