Search Results (37,127)

Using truck GPS trajectory data, this study measures the intensity of economic spatial linkages in Hubei Province at both administrative and cross-administrative scales and examines the hierarchical structure and spatial pattern of its urban economic network. By comparing the results with existing regional plans, the study provides empirical support for regional coordination and spatial planning. Network centrality analysis, linkage intensity measurement, and community detection algorithms are integrated to construct a topological model of the urban economic network from three dimensions: urban node hierarchy, inter-city linkage intensity, and urban cluster structure. To overcome administrative boundary constraints, a 5 km × 5 km grid-based approach is applied to identify functionally connected urban economic communities. The results indicate that Hubei Province’s urban economic network exhibits a highly dominant core accompanied by multiple secondary supporting centers. While the Wuhan Metropolitan Area demonstrates high economic activity, internal horizontal linkages remain relatively weak, and the roles of Yichang and Xiangyang as regional sub-centers require further strengthening. Grid-based analysis further reveals pronounced cross-administrative economic linkages. Accordingly, this study suggests strengthening support for regional sub-centers and promoting better alignment between administrative space and functional space within the spatial planning system, with enhanced cross-regional coordination. Full article

Energy poverty, as an emerging form of poverty, is key to consolidating the achievements of poverty alleviation and is also an important cornerstone for promoting energy transformation, social equity, and people’s well-being. Based on data from the China Family Panel Studies (CFPS) for 2018 to 2022, we use the head of household’s subjective happiness to proxy for family happiness. Using a two-way fixed-effects model, we analyze the impact of energy poverty on family happiness and its mechanism from the theoretical and empirical aspects. The conclusions are as follows: (1) Energy poverty has a significant negative impact on family happiness, and the estimated results of instrumental variables after solving endogeneity are consistent. (2) Heterogeneity analysis finds that for families with relatively disadvantaged economic conditions, such as non-relatively poor families, urban families, and families with loans, energy poverty significantly reduces their happiness, which contradicts our conventional understanding. (3) Mechanism analysis shows that energy poverty affects income gaps, health status, and economic status, which in turn affect family happiness. The respective percentages coming from the mechanisms of income gap, health status, and economic status are 43.31%, 26.11%, and 9.55%. We directly link energy sustainability, a core area of sustainable development, with residents’ well-being. It fills the systematic research gap on how energy poverty affects household happiness and deepens our understanding of its underlying transmission mechanism. Furthermore, it enriches research on the implementation pathways of energy policy and common prosperity, broadens the boundaries of research in energy economy and social welfare, and provides important practical implications for advancing energy inclusion and rural revitalization within the sustainable development framework. Full article

Cotton, as a globally significant economic crop, is intricately regulated in its growth and development by the key genes for SA (Salicylic acid) biosynthesis. In the present study, a systematic analysis of genes related to SA biosynthesis was conducted across four cotton species, leading to the identification of 70 genes. Specifically, the tetraploid species Gossypium hirsutum and G. barbadense were found to harbor 22 and 23 genes, respectively, representing a substantial expansion compared to the 12 and 13 genes identified in the diploid progenitors G. arboreum and G. raimondii. Comprehensive characterization of chromosomal localization, phylogeny, domain architecture, and promoter cis-elements revealed a uniform distribution of key genes involved in SA biosynthesis across A/D sub-genomes of tetraploids with extensive interspecific collinearity; whole-genome and segmental duplication act as the dominant drivers for the expansion of this gene family, while partial gene loss following polyploidization results in non-doubled gene copy numbers in tetraploids relative to diploids, which reflects the evolutionary selection for genomic dosage balance. The key genes for SA biosynthesis demonstrate a high degree of conservation in protein sequences, protein structures, and conserved motifs, which constitute the structural basis for the stable maintenance of their core functions in the SA biosynthesis pathway during plant evolution. This is closely related to their core function in the salicylic acid (SA) synthesis pathway and serves as the structural basis for the stable maintenance of gene functions during evolution. Analysis of cis-elements revealed that the expression of key genes involved in SA biosynthesis is governed by a complex interplay of phytohormones, stress signals, and transcription factors. Yeast one-hybrid (Y1H) assays confirmed the interaction between the GhPAL and GhICS gene and predicted candidate transcription factors, specifically the binding of GhWRKY21 to GhICS2-1 promoter and GhMYB12 to GhPAL1-2 promoter, thus elucidating their stage-specific regulatory mechanisms in cotton fiber development and reflecting their evolution. This study provides a fundamental basis for investigating the role of the SA signaling pathway in cotton development and offers support for cotton molecular breeding. Full article

School dropouts remain a complex challenge for educational systems globally, with economic, social and psychological consequences for the individual and society at large. Evidence from the literature supports the high prevalence of school dropouts in rural communities, resulting in teenage pregnancy, exposure to drugs, and early marriage, among others. The study employed an exploratory approach to contribute to existing knowledge on the challenges of school disengagement through the lenses of community and peer-influence among high school students in rural South Africa. A qualitative research design employing semi-structured interviews was used, with a total of 20 interviews conducted (3 parents, 2 community leaders, 5 teachers, and 10 students, including dropouts). A thematic analysis procedure was employed for theme identification and analysis. There was evidence of a lack of community support in ensuring learners remain in school. Peer pressure was prevalent, given the influences and attachments students form with peers. This condition influences students to resort to drug abuse, teenage pregnancies, and early marriages as coping mechanisms for school dropouts. The overarching effect is a decline in academic comprehension, leading to school dropout rates. Parents and guardians play an active and collaborative role in discouraging practices that contribute to school dropout. Parent and community members must also be sensitised regarding the long-term negative effects of peer pressure and early marriage on education and future opportunities, especially for girls. Full article

This study examines how heritage-based small and medium enterprises (SMEs) cope with economic shocks and institutional constraints in a semi-urban context. The study focuses on identifying context-specific barriers that shape SME growth and sustainability in heritage-based, semi-urban settings. Using a mixed-methods design, survey data from 200 SMEs were analyzed with PLS-SEM, and 20 semi-structured interviews were examined through thematic analysis, collected in Kashan, Iran (March–May 2025). We find that inflation and limited access to finance are the primary barriers to firm growth, followed by regulatory delays and administrative complexity. Qualitative findings reveal five recurring adaptive routines, short-cycle cash management, cooperative input purchasing, product simplification/micro-pivoting, reliance on local networks, and minimalist digitalization, that operate in a discernible temporal sequence to sustain firm continuity. By integrating resource-based and institutional perspectives, the paper advances meso-level theorizing on SME resilience and proposes a set of low-cost, actionable policy measures (e.g., streamlined e-licensing, targeted mobile microfinance, and buyer–supplier matchmaking) for local authorities and development practitioners. Full article

The transition toward low-carbon and circular Municipal Solid Waste (MSW) systems requires integrated evaluation approaches that consider environmental performance, technological maturity, and governance capacity. This study presents a structured, systematic review of MSW disposal and treatment practices published between 2018 and 2026, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. A total of 71 studies were included and analyzed. Due to heterogeneity in methodologies, system boundaries, and reported indicators, no formal meta-analysis was conducted. Instead, the review provides a comparative and qualitative synthesis of key environmental indicators and structural determinants. Results indicate a transition from open dumping toward engineered landfills and advanced treatment technologies, including waste-to-energy and biological processes. Open dumping is consistently associated with high greenhouse gas emissions and environmental risks, while engineered systems improve containment and enable partial resource recovery. The findings highlight that environmental performance is not determined solely by technology but by the interaction between infrastructure design, operational quality, governance capacity, and economic conditions. The proposed analytical framework supports context-sensitive waste management strategies aligned with circular economy principles and climate mitigation objectives. Full article

Inter-basin water transfer projects (IBWTPs) play a pivotal role in alleviating the spatiotemporal imbalances of water resources. However, their operation is exposed to multiple, highly interdependent safety risks that can significantly undermine system stability and water supply reliability. Existing studies predominantly focus on isolated risk factors or rely heavily on subjective data, which limits their ability to capture the complex interrelationships among risks and reveal their underlying propagation mechanisms. To address these limitations, this study proposes a novel risk correlation analysis framework that integrates Interpretive Structural Modeling (ISM) with copula functions. ISM is first employed as a preprocessing tool to structure expert knowledge and develop an initial risk correlation framework. It is then used to hierarchically organize the complex interrelationships among risks. Subsequently, copula functions are utilized to model nonlinear dependencies and tail behaviors among risk variables. This enables a quantitative assessment of correlation strengths and facilitates the construction of a risk topological network. An empirical case study is conducted based on the Middle Route of the South-to-North Water Diversion Project. The results reveal 13 significant correlations among six second-level risk categories. Natural risks (e.g., floods and geological hazards) are identified as the primary driving factors. They exhibit a strong positive correlation (0.6155) with engineering risks and serve as the most critical nodes for proactive risk prevention and control. Engineering risks function as central intermediary hubs in the risk transmission process, whereas water quality and economic risks are characterized as terminal endpoints. Furthermore, three principal risk propagation pathways are identified: (1) natural risks → engineering risks → economic risks; (2) natural risks → operational scheduling risks → social risks; and (3) engineering risks → water quality risks → economic risks. The resulting risk topological network demonstrates significant small-world properties, indicating highly efficient risk transmission within the system. Ultimately, this study provides a robust quantitative approach for analyzing risk interactions in complex engineering systems and enriches the theoretical framework of engineering risk management. It also identifies critical nodes and key transmission pathways for risk prevention and control in IBWTPs, thereby offering significant practical implications for operational safety. Full article

South Asia has experienced a persistent rise in per capita carbon dioxide emissions despite growing policy attention to low-carbon development. Against this background, this study examines how economic growth, energy intensity, renewable energy, urbanization, and trade openness shape per capita carbon dioxide emissions in six South Asian countries over the period 1990–2023. Grounded in the STIRPAT framework, the analysis combines fixed-effect estimation with two-step system generalized method of moments to address unobserved heterogeneity, endogeneity, and emissions persistence. The results show that economic growth remains strongly carbon-intensive, with gross domestic product per capita exhibiting a near-proportional elasticity with emissions. Energy intensity significantly increases emissions, while renewable energy reduces them. Urbanization exerts a positive but smaller effect, whereas trade openness remains statistically fragile. The findings also indicate strong emission persistence, underscoring the importance of early intervention. The study contributes to the regional environmental literature by providing an integrated and dynamic assessment of South Asia’s growth–energy–emissions nexus and by introducing a composite policy-support dimension into the empirical framework. The results offer practical implications for energy efficiency reform, renewable expansion, and climate-sensitive urban policy in developing economies. Full article

This study investigates the interrelationship between artistic, architectural, and technological interventions and cultural continuity in the heritage renewal process in China from a sustainability-oriented design perspective. Amid increasing pressures from urbanization, tourism, and technological development, many heritage renewal projects face persistent challenges in balancing conservational authenticity with contemporary functional and economic demands. To address this gap, the study proposes an empirically grounded, sustainability-oriented decision-support framework aimed at reconciling these competing priorities. A mixed-methods research design was employed, integrating case studies, expert interviews, and quantitative analysis. Thematic analysis identified eight sustainability criteria, which were subsequently validated using descriptive statistics, reliability and validity testing, and exploratory factor analysis. The relative importance of these criteria was determined through the Analytic Hierarchy Process, followed by the application of the Technique for Order Preference by Similarity to Ideal Solution to rank preferred heritage renewal strategies. The findings indicate that cultural authenticity, architectural integrity, and artistic continuity represent the core dimensions of sustainable heritage renewal, while technological integration and environmental sustainability primarily function as facilitating components. Across all evaluated criteria, integrated design strategies consistently outperform single-dimension approaches. The study concludes with a decision-support framework for China. Full article

Potato early blight (EB), caused by Alternaria, is an economically devastating fungal disease affecting global potato production. Using a hybrid population derived from distantly related varieties, we combined resistance evaluation, histological analysis, Bulked Segregant Analysis sequencing, RNA sequencing and molecular dynamics simulation, which successfully identified key candidate resistance genes. Genetic mapping localized three major resistance-associated regions on chromosome 8 spanning positions 25.07–29.20 Mb, 38.05–38.80 Mb, and 39.40–40.78 Mb. Through candidate gene analysis, we identified CND41, encoding an aspartic protease, as the prime candidate. This gene exhibited significantly higher basal expression levels and stronger pathogen-induced upregulation in resistant genotypes. Molecular dynamics simulations further identified six crucial non-synonymous mutations in the TAXI-N domain that likely contribute to enhanced resistance by destabilizing the susceptibility-associated protein conformation. Transient overexpression of CND41 provided functional evidence supporting its likely involvement in early blight resistance (EBR). These findings contribute valuable genetic resources and a strong candidate gene for molecular breeding toward EBR potato varieties. Full article

Tree architecture is a critical determinant of plant performance, light capture, biomechanical stability, and resource allocation. However, the multidimensional functional trait space and multiscale allometric scaling mechanisms underlying different architectural types in Malus remain poorly understood. This study investigates the multidimensional functional trait space and multiscale allometric scaling relationships among three typical architectural types (weeping, upright, and spreading) in Malus. A total of 206 germplasm accessions were analyzed by integrating nine core functional traits spanning macro-architectural, branch biomechanical, and leaf economic dimensions. Principal component analysis revealed that architectural differentiation is primarily driven by macro-architectural and branch biomechanical traits, alongside coordinated contributions from leaf economic traits. Functional diversity analysis indicated that the upright and spreading types exhibited higher functional richness, while the weeping type displayed the highest functional divergence but minimal or no functional overlap with the upright and spreading type, reflecting strong niche specialization under artificial selection. Multiscale allometric analyses demonstrated significant divergence in resource allocation strategies across hierarchical levels. At the whole-tree level, architectural types differed markedly in height–diameter and height–crown scaling relationships. At the branch level, conserved positive allometric scaling was observed, with the weeping type showing higher intercepts indicative of increased mechanical investment. At the leaf level, consistent negative allometry between petiole length and leaf area suggested optimized resource allocation for light capture. These pronounced differences suggest distinct ecological adaptation strategies: the weeping type prioritizes biomechanical compensation for pendulous branches and optimized light capture in loose canopies; the upright type emphasizes vertical light competition and mechanical compactness; the spreading type balances lateral expansion and spatial filling efficiency, reflecting differentiated resource allocation patterns shaped by artificial selection. Overall, this study reveals that tree architecture in Malus is shaped by coordinated trait interactions across multiple scales, leading to distinct ecological strategies and resource allocation patterns. These findings provide new insights into the structure–function co-evolution of woody plants and offer a theoretical framework for functional trait-assisted breeding of ornamental tree architectures. Full article

Cash dividends, as a tangible form of monetary distribution, serve as a fundamental mechanism for remunerating investors for their capital commitments. Beyond manifesting a firm’s commitment to fulfilling its social responsibilities toward shareholders, such distributions potentially shape corporate deliberations regarding accountability toward a broader spectrum of stakeholders. Drawing on behavioral explanations of corporate decision-making, this study examines the association between cash dividend payouts and environmental protection tax burdens among Chinese A-share listed companies from 2018 to 2023. The empirical results indicate a significant and robust negative association between corporate cash dividend payouts and environmental protection tax burdens. Mechanism analysis suggests that this cross-domain behavioral consistency is primarily channeled through the proactive fulfillment of corporate environmental responsibilities. Further inquiry reveals that both government environmental subsidies and media coverage exert positive moderating effects on this relationship. Notably, this observed negative association is particularly pronounced in firms characterized by lower executive environmental awareness, those operating in regions with lenient environmental regulations, companies navigating economic downturns, and those situated within low-pollution industries. This research provides novel evidence for the “governance complementarity” hypothesis, suggesting that financial accountability and environmental stewardship are mutually reinforcing rather than mutually exclusive. Furthermore, it offers a pioneering micro-behavioral perspective on how firms in emerging economies can harmonize shareholder wealth distribution with green transition objectives. Full article

This article examines two-state proportional hazard rate models with unobserved heterogeneity specific to each state, a framework that is especially relevant for labor market transitions. To make estimation feasible in large longitudinal datasets, we implement hshaz2s, a Stata routine that uses analytical expressions for the gradient vector and Hessian matrix of the log-likelihood function through the dual second-order moment (d2 ml) method. The empirical application estimates a discrete-time duration model for transitions between employment and unemployment using Spanish labor market microdata for young low-skilled workers over 2000–2019. The results show that apprenticeship contracts are associated with lower exit rates from employment than other temporary contracts, but not with faster transitions from unemployment back into employment. The estimates also reveal substantial state-specific unobserved heterogeneity, with a large latent group characterized by persistent spells in both states. Analytical second-order information also markedly reduces convergence time under richer heterogeneity structures. Overall, the article makes this class of two-state hazard models operational for applied research and provides new evidence on apprenticeship and temporary contracts in Spain. Full article

While national agencies increasingly adopt ‘sustainable’ rhetoric, their policies frequently prioritize bureaucratic legitimacy over local landscape realities. This research examines how Thailand’s development policies shape water and spatial governance in riverine landscapes, focusing on Chiang Mai Province and the Phaya-Kham irrigation system. Despite ambitious sustainable development objectives, implementation is marked by institutional silos, overlapping mandates, and scalar misalignments, resulting in fragmented governance that favors short-term economic gains over long-term ecological health. These dynamics undermine water resource management and exacerbate socio-ecological inequalities. Drawing on archival reviews, policy analysis, mapping, and interviews, the study employs political ecology perspectives and David Mosse’s framework of policy performance to investigate the disjuncture between policy intentions and on-the-ground realities. The Phaya-Kham system illustrates how modernization pressures, urban expansion, and agricultural intensification destabilize community-based water governance. Findings underscore that governance challenges in Chiang Mai are fundamentally political, rooted in struggles over authority and resource control rather than technical shortcomings. Sustainability-oriented policy frameworks may reproduce socio-ecological degradation. Achieving fairer water and landscape governance requires confronting these dynamics, integrating local knowledge, and fostering inter-agency cooperation. By recognizing context-based hydrosocial territories, policies can move toward more socio-environmentally healthy frameworks supporting local riverine communities and landscape realities. Full article

This study investigates the communicative power of editorial cartoons in Ghana’s public discourse, focusing on how they inform, critique, and influence sociopolitical narratives. Drawing on a dataset of cartoons by Tilapia—one of the country’s leading cartoonists—published between May 2024 and May 2025, the paper explores how cartoons address themes such as economic hardship, youth addiction, cultural values, environmental degradation, and political hypocrisy. The central question guiding this study is as follows: How do Tilapia’s editorial cartoons visually construct and critique key national issues—such as economic hardship, environmental degradation, youth addiction, and political hypocrisy—in Ghanaian public discourse? Guided by an integrated theoretical framework from semiotics, visual rhetoric, and critical metaphor theory, the analysis reveals how cartoons use humour, caricature, exaggeration, and symbolic imagery to simplify complex realities and foster civic reflection. The study highlights how cartoons serve not only to entertain but also to hold power to account, amplify public concerns, and promote sociopolitical engagement. Through detailed visual analysis of ten selected cartoons, the paper underscores their capacity to critique governance, expose contradictions, and reflect collective sentiment—especially during election cycles. Overall, the research affirms the evolving role of visual satire as a potent medium of resistance, cultural expression, and democratic participation in Ghana. By bridging visual culture and critical discourse, the paper contributes to broader understandings of the role of the media in shaping public perception and fostering informed citizenship. Full article