Search Results (386)

Emerging hybrid governance models are transforming conventional approaches to land-use regulation by simultaneously enabling urban–rural development and enforcing ecological safeguards. This study investigates the regulatory mechanisms underpinning China’s urban–rural land-use policies through an innovative mixed-methods approach, integrating systematic text analysis and the Institutional Grammar Tool (IGT). Drawing on a comprehensive dataset of 62 national policy documents (2012–2024), we employ textual coding and thematic clustering to identify seven core policy pathways, ranging from territorial spatial planning to ecological protection. These pathways are further deconstructed using IGT to assess their regulatory intensity, revealing a tripartite governance model: (1) flexible AIC-strategies (e.g., land market mechanisms), which enable local experimentation by specifying actors, aims, and conditions without rigid obligations; (2) adaptive ADIC-norms (e.g., collective land reforms), which balance central directives with localized discretion through conditional deontic rules; and (3) rigid ADICO-rules (e.g., ecological redlines), which enforce absolute compliance through binding sanctions. Through systematic analysis of land use policy regulations, we reveal how China’s hybrid governance system operationalizes a tripartite institutional logic—maintaining rigid regulatory control (ADICO-rules) in ecologically critical zones, adaptive policy experimentation (ADIC-norms) in transitional areas, and flexible market-based instruments (AIC-strategies) in development zones—thereby dynamically reconciling environmental conservation with socioeconomic diversification. The study advances both institutional theory through its grammatical analysis of policy instruments and governance theory by transcending the traditional command-and-control versus flexible governance dichotomy. Practically, the research offers actionable insights for policymakers in emerging economies, emphasizing spatially differentiated regulation, dynamic monitoring system, and strategic coupling of binding rules with flexible implementation mechanisms. Full article

Addressing the challenges of insufficient incentives, weak constraints, and superficial adoption in promoting human–robot collaboration (HRC) in the construction industry, this study develops a tripartite evolutionary game model among government, contractors, and on-site teams under bounded rationality. Lyapunov stability analysis and numerical simulation are employed to conduct parameter sensitivity analyses. The results show that a strategy profile characterized by flexible regulation, deep adoption, and high-effort collaboration constitutes a stable evolutionary outcome. Moderately increasing government incentives helps accelerate convergence but exhibits diminishing returns under fiscal constraints, indicating that subsidies alone cannot sustain genuine engagement. Reducing penalties for contractors and on-site teams, respectively, induces superficial adoption and low effort, whereas strengthening penalties for bilateral violations simultaneously compresses the space for opportunistic behavior. When the payoff advantage of deep adoption narrows or the payoff from perfunctory adoption rises, convergence toward the preferred steady state slows markedly. Based on the discussion and simulation evidence, we recommend dynamically matching incentives, sanctions, and performance feedback: prioritizing flexible regulation to reduce institutional frictions, configuring differentiated sanctions to maintain a positive payoff differential, reinforcing observable performance to stabilize frontline effort, and adjusting policy weights by project stage and actor characteristics. The study delineates how parameter changes propagate through behavioral choices to shape collaborative performance, providing actionable guidance for policy design and project governance in advancing HRC. Full article

Environmental, Social, and Governance (ESG) ratings are widely used for investment and regulatory decision-making, yet they often suffer from symbolic compliance and information asymmetry. To address these limitations, this study introduces a hybrid ESG risk assessment model that integrates court ruling data with traditional ESG ratings to detect latent sustainability risks. Using a dataset of 213 ESG-related U.S. court rulings from January 2023 to May 2025, we apply natural language processing (TF-IDF, Legal-BERT) and explainable AI (SHAP) techniques to extract structured features from legal texts. We construct and compare classification models—including Random Forest, XGBoost, and a Legal-BERT-based hybrid model—to predict firms’ litigation risk. The hybrid model significantly outperforms the baseline ESG-only model in all key metrics: F1-score (0.81), precision (0.79), recall (0.84), and AUC-ROC (0.87). SHAP analysis reveals that legal features such as regulatory sanctions and governance violations are the most influential predictors. This study demonstrates the empirical value of integrating adjudicated legal evidence into ESG modeling and offers a transparent, verifiable framework to enhance ESG risk evaluation and reduce information asymmetry in sustainability assessments. Full article

This study assesses the financial soundness of Sudanese commercial banks during escalating civil conflict by integrating Altman’s Z-score models with scenario-based stress testing. Using audited financial data from 2016 to 2022 (pre-war) and projections through to 2028, the analysis evaluates resilience under low- and high-intensity conflict scenarios. Altman’s Model 3 (for non-industrial firms) and Model 4 (for emerging markets) are applied to capture liquidity, retained earnings, profitability, and leverage dynamics. The findings reveal relative stability between 2017–2020 and in 2022, contrasted by significant vulnerability in 2016 and 2021 due to macroeconomic deterioration, sanctions, and political instability. Liquidity emerged as the most critical driver of Z-score performance, followed by earnings retention and profitability, while leverage showed a context-specific positive effect under Sudan’s Islamic finance framework. Stress testing indicates that even under low-intensity conflict, rising liquidity risk, capital erosion, and credit risk threaten sectoral stability by 2025. High-intensity conflict projections suggest systemic collapse by 2028, characterized by unsustainable liquidity depletion, near-zero capital adequacy, and widespread defaults. The results demonstrate a direct relationship between conflict duration and systemic fragility, affirming the predictive value of Altman’s models when combined with stress testing. Policy implications include the urgent need for enhanced risk-based supervision, Basel II/III implementation, crisis reserves, contingency planning, and coordinated regulatory interventions to safeguard the stability of the banking sector in fragile states. Full article

This study examines the evolution of the European Union’s regulatory framework addressing energy market manipulation, focusing on recent amendments introduced by Regulation (EU) 2024/1106 (REMIT II) to the original REMIT—Regulation on Market Integrity and Transparency (EU) No. 1227/2011. Employing logical interpretation and comparative legal analysis, the paper explores the rationale and challenges of developing a proportionate yet dissuasive sanctioning regime for acts of market manipulation. The study commences with a comprehensive overview of manipulative practices within energy markets and the legal thresholds they must meet to fall under REMIT. A critical evaluation of the role of the European Union Agency for the Cooperation of Energy Regulators (ACER) is conducted, with particular attention to its updated guidelines following the revision of the REMIT regulation. A particular emphasis is placed on the evidentiary standard that is required to establish manipulation, a matter of particular significance in the context of enforcement. The comparative section analyses REMIT and REMIT II, identifying significant legal innovations and the regulatory intent behind them. The study highlights the need for enhanced legislative harmonization among Member States and strengthened coordination among national regulators under ACER. It is noteworthy that Romania has proactively aligned its policies with those of REMIT II, a development that is presented as a case study and a call for more widespread implementation. This analysis contributes to the existing body of knowledge in academic discourse since this topic has not been widely covered in the literature, despite the heightened relevance of energy market regulation in the current European context. Full article

Despite global initiatives to combat Illegal, Unreported, and Unregulated (IUU) fishing, such activities continue unabated. As a response, states are encouraged to join the Food and Agriculture Organization of the United Nations Port State Measures Agreement (PSMA) as a countermeasure. Despite these efforts, it is suspected that many IUU fishing activities involve non-party or unknown vessels that evade international sanctions. This study aims to propose technical and institutional improvement measures in light of these challenges. First, using available IUU vessel lists, we conducted independent-sample comparisons and paired-sample comparisons to analyze the characteristics of IUU vessels. As key solutions, we propose the formation of a global collaborative body to facilitate an integrated information chain, the implementation of advanced technologies for systematic operations, strategies to encourage PSMA accession by non-parties, market investigations, and enhanced national inspection and organizational capabilities. Furthermore, this study seeks to strengthen global deterrence of IUU fishing activities by proposing a phased international cooperation framework to enhance the feasibility of integrating the PSMA, Global Record (GR), Global Information Exchange System (GIES), and Regional Fisheries Management Organization (RFMO) systems. These strategies are expected to contribute positively to the transparent governance, sustainable management of fishery resources, and safety officers and vessels. Full article

This paper introduces a novel four-party evolutionary game model to analyze cooperation dynamics in High-Value Mixed Cropping (HMC) systems integrating non-pesticide cacao, cashew nut, and free-range chicken farming within circular and sharing economy frameworks. The model uniquely examines strategic interactions among local government and three farming family types (cacao, cashew, and chicken), incorporating both regulatory mechanisms and cooperative behaviors. Through rigorous stability analysis and MATLAB simulations based on empirical data from Southeast Vietnam, we identify precise conditions for Evolutionarily Stable Strategies (ESSs) that sustain long-term cooperation. Our results demonstrate that government incentives (subsidies, technical support) and reputational sanctions critically shape farmers’ and consumers’ payoffs, thereby steering the system toward collective action equilibria. In particular, increasing the strength of positive incentives or reputational benefits enlarges the basin of attraction for full-cooperation ESSs, regardless of initial strategy distributions. Conversely, overly punitive sanctions can destabilize collaborative outcomes. These findings underscore the pivotal role of well-balanced policy instruments in fostering resilience, innovation, and resource circulation within rural agroecosystems. Finally, we propose targeted policy recommendations, such as graduated subsidy schemes, participatory monitoring platforms, and cooperative branding initiatives, to reinforce circular economy practices and accelerate progress toward the United Nations Sustainable Development Goals. Full article

Incineration at sea is a significant source of marine pollution, threatening biodiversity and public health. Although Peru ratified the 1996 London Protocol in 2018, key deficiencies persist in its domestic legal framework, particularly the absence of clear and internationally aligned definitions for “incineration” and “incinerator.” These gaps hinder effective enforcement by the National Maritime Authority (NMA-DICAPI) and limit regulatory compliance with international obligations. This study analyzes Peru’s current legislation in light of the London Protocol and includes a comparative overview of regional regulatory approaches in Latin America. Based on this analysis, the study identifies regulatory inconsistencies that compromise environmental protection and proposes three key legal reforms: (1) refining the definition of “incineration” to reflect international standards; (2) formally incorporating a definition for “incinerator”; and (3) establishing specific administrative and economic sanctions for related infractions. Through comparative analysis with Mexico and Colombia’s approaches, we propose targeted amendments including refined definitions aligned with IMO standards and explicit administrative/economic sanctions. Implementing these recommendations would enhance Peru’s legal clarity, enforcement capacity, and compliance with international maritime law, reinforcing its role as a responsible actor in marine environmental governance. Full article

The taxonomy of Laccaria laccata, the type species of the genus Laccaria, has long been ambiguous due to the absence of a reference sequence and the reliance on early, morphology-based descriptions. To resolve this issue, we selected a Code-compliant lectotype for Agaricus laccatus—the basionym of L. laccata—from Schaeffer’s 1762 illustration cited in Fries’ sanctioning work. Given the limitations of this historical material for modern species interpretation, we also designated an epitype based on Singer’s collection C4083 (BAFC) from Femsjö, Sweden, which was previously but not effectively designated as the “lectotype” by Singer. This epitype is supported by detailed morphological descriptions, iconography, and newly generated nrITS, nrLSU, and RPB2 sequences, which have also been newly obtained from additional collections. Phylogenetic analyses consistently place the epitype of L. laccaria within a well-supported clade, herein designated as/Laccaria laccata, which includes sequences previously reported as falling within the “proxima 1 clade”. This integrative approach, combining historical typification with modern molecular and morphological data, stabilizes the nomenclature of L. laccata and provides a robust foundation for future studies of this ecologically and economically important genus of ectomycorrhizal fungi. Full article

This study focuses on the long-standing issue of θ-assignment in the generative enterprise literature. Despite the asymmetry of θ-assignment regarding structural positions (Head–Complement/Specifier–Head) being sanctioned by the Duality of Semantics, I argue that it is possible to eliminate the asymmetry in full accordance with third-factor principles by proposing two independent frameworks. In the first framework, I propose that θ-assignment is executed by applying Minimal Search to locate the assigner and the assignee, where both the external argument and the internal argument receive the θ-role in the same way. In the second framework, which does not hinge on the assumptions or results of the first one, I propose that θ-assignment is a postsyntactical operation; thus, the Duality of Semantics, as well as concepts like θ-assignment in the syntax or θ-position, may be disregarded. For a proper θ-interpretation to be possible, the assigner and the assignee must be in the same transfer domain. Nonetheless, the empirical coverage of the Duality of Semantics is largely retained, suggesting merge can and must be simplest with respect to θ. Full article

Air pollution monitoring in ungauged zones presents unique challenges yet remains critical for understanding environmental health impacts and socioeconomic dynamics in the Eastern Mediterranean region. This study investigates air pollution patterns in northwestern Syria during 2019–2024, analyzing NO₂ and CO concentrations using Sentinel-5P TROPOMI satellite data processed through Google Earth Engine. Monthly concentration averages were examined across eight key locations using linear regression analysis to determine temporal trends, with Spearman’s rank correlation coefficients calculated between pollutant levels and five meteorological parameters (temperature, humidity, wind speed, atmospheric pressure, and precipitation) to determine the influence of political governance, economic conditions, and environmental sustainability factors on pollution dynamics. Quality assurance filtering retained only measurements with values ≥ 0.75, and statistical significance was assessed at a p < 0.05 level. The findings reveal distinctive spatiotemporal patterns that reflect the region’s complex political-economic landscape. NO₂ concentrations exhibited clear political signatures, with opposition-controlled territories showing upward trends (Al-Rai: 6.18 × 10⁻⁸ mol/m²) and weak correlations with climatic variables (<0.20), indicating consistent industrial operations. In contrast, government-controlled areas demonstrated significant downward trends (Hessia: −2.6 × 10⁻⁷ mol/m²) with stronger climate–pollutant correlations (0.30–0.45), reflecting the impact of economic sanctions on industrial activities. CO concentrations showed uniform downward trends across all locations regardless of political control. This study contributes significantly to multiple Sustainable Development Goals (SDGs), providing critical baseline data for SDG 3 (Health and Well-being), mapping urban pollution hotspots for SDG 11 (Sustainable Cities), demonstrating climate–pollution correlations for SDG 13 (Climate Action), revealing governance impacts on environmental patterns for SDG 16 (Peace and Justice), and developing transferable methodologies for SDG 17 (Partnerships). These findings underscore the importance of incorporating environmental safeguards into post-conflict reconstruction planning to ensure sustainable development. Full article

In the low-carbon era, there is a serious challenge of climate change, which urgently needs to promote low-carbon consumption behavior in order to build sustainable low-carbon consumption patterns. The establishment of this model not only requires in-depth theoretical research as support, but also requires tripartite cooperation between the government, enterprises and the public to jointly promote the popularization and practice of the low-carbon consumption concept. Therefore, by constructing a tripartite evolutionary game model and simulation analysis, this study deeply discusses the mechanism of government policy on the strategy choice of logistics enterprises. The stability strategy and satisfying conditions are deeply analyzed by constructing a tripartite evolutionary game model of the logistics industry, government, and consumers. With the help of MATLAB R2023b simulation analysis, the following key conclusions are drawn: (1) The strategic choice of logistics enterprises is affected by various government policies, including research and development intensity, construction intensity, and punishment intensity. These government policies and measures guide logistics enterprises toward low-carbon development. (2) The government’s research, development, and punishment intensity are vital in determining whether logistics enterprises adopt low-carbon strategies. R&D efforts incentivize logistics companies to adopt low-carbon technologies by driving technological innovation and reducing costs. The penalties include economic sanctions to restrain companies that do not comply with low-carbon standards. In contrast, construction intensity mainly affects the consumption behavior of consumers and then indirectly affects the strategic choice of logistics enterprises through market demand. (3) Although the government’s active supervision is a necessary guarantee for logistics enterprises to implement low-carbon strategies, more is needed. This means that in addition to the government’s policy support, it also needs the active efforts of the logistics enterprises themselves and the improvement of the market mechanism to promote the low-carbon development of the logistics industry jointly. This study quantifies the impact of different factors on the system’s evolution, providing a precise decision-making basis for policymakers and helping promote the logistics industry’s and consumers’ low-carbon transition. It also provides theoretical support for the logistics industry’s low-carbon development and green low-carbon consumption and essential guidance for sustainable development. Full article

This study analyzes forest fire legislation and policies in the Andean Community of Nations (ACN)—Colombia, Ecuador, Peru, and Bolivia—focusing on prevention and control. Using a comparative law approach, similarities, differences, and implementation challenges were identified. Ecuador and Peru have more comprehensive legal structures, while Colombia’s is simpler, and Bolivia falls in between. To address these gaps, this study proposes an Andean Directive for Integrated Fire Management (ADIFM) to harmonize policies and incorporate fire ecology, ancestral knowledge, education, monitoring technologies, and post-fire restoration. This regulatory framework, tailored to Andean ecological and sociocultural conditions, would optimize fire management and strengthen ecosystem resilience. Additionally, harmonizing sanctions and regulations at the regional level would ensure more coherent and effective governance. The ADIFM would provide strategic guidance for policymakers, fostering sustainable fire management and environmental restoration across Andean ecosystems. Full article

Environmental regulation has become a central policy tool for reconciling the tensions between ecological sustainability and industrial development. Although most existing studies focus on its impact on green innovation or firm behavioral change, attention to how environmental regulation affects the structural resilience of manufacturing systems under external shocks remains limited. This paper constructs a balanced panel dataset covering 287 prefecture-level cities in mainland China from 2006 to 2021 to quantify the impact of environmental regulation intensity on the resilience of manufacturing development. Manufacturing resilience is assessed through a comprehensive indicator system, including the dimensions of adaptive capacity, recovery potential, and industrial continuity. The empirical results show that environmental regulation has a significant inhibitory effect on manufacturing resilience, and this effect is supported in a number of robustness analyses using instrumental variable estimation and lagged structural tests. Mechanism analysis suggests that, despite the overall negative effect, environmental regulations can indirectly enhance resilience performance by promoting industrial autonomy and digital transformation under certain conditions. Heterogeneity analysis further reveals that the negative effect is more pronounced in regions with higher regulatory intensity, in non-self-employed firms, in industries not subject to U.S. sanctions, and in eastern China. These findings suggest that the dynamic needs of the industrial system should be taken into account in the formulation of environmental policies, and that digital capacity building and autonomy upgrading should be the key paths to mitigate regulatory shocks. Full article

This paper develops a nonlinear optimization model for the optimal allocation of labor and investment resources in a three-sector open economy. The model is based on the Cobb–Douglas production function and incorporates sectoral interdependencies, capital depreciation, trade balances, and import quotas. The resource allocation problem is formalized as a constrained optimization task, solved analytically using the Lagrange multipliers method and numerically via the golden section search. The model is calibrated using real statistical data from Kazakhstan (2010–2022), an open resource-exporting economy. The results identify structural thresholds that define balanced growth conditions and resource-efficient configurations. Compared to existing studies, the proposed model uniquely integrates external trade constraints with analytical solvability, filling a methodological gap in the literature. The developed framework is suitable for medium-term planning under stable external conditions and enables sensitivity analysis under alternative scenarios such as sanctions or price shocks. Limitations include the assumption of stationarity and the absence of dynamic or stochastic features. Future research will focus on dynamic extensions and applications in other open economies. Full article