Search Results (490)

To align with disaster monitoring and sustainable risk assessment, the low-carbon transition of fisheries necessitates comprehensive carbon emission management throughout the supply chain. As China advances supply-side structural reform, transitioning from traditional to low-carbon fisheries is vital for the green development of the industry and its associated sectors. This study employs input–output models and LMDI decomposition to examine the trends and drivers of embodied carbon emissions within China’s fishery production system from 2010 to 2019. By constructing a cross-sectoral full-emission accounting system, the research calculates total direct and indirect emissions, exploring how accounting scopes influence regional responsibility and reduction strategies. Empirical results indicate that while China’s aquatic trade and processing have steadily developed, the sector remains dominated by low-value-added primary products. This structure highlights vast potential for deep processing development amidst shifting global dietary habits. Factor decomposition reveals that economic and technological development are the primary drivers of carbon emissions. Notably, technological progress within fisheries emerges as the most significant factor, playing a pivotal role in both driving and potentially mitigating emissions. Consequently, to effectively lower carbon intensity, the study concludes that restructuring the fishery industry is crucial. Promoting low-carbon development and enhancing the R&D of green technologies are essential strategies to navigate the dual challenges of industrial upgrading and environmental protection. Full article

This study investigates the spatial patterns and drivers of carbon emissions across China’s three major urban agglomerations—Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD)—from 2011 to 2020. A sequential analytical framework was employed to examine emission inequality, spatial dependence, dynamic transitions, and multi-scale drivers. Specifically, the Gini and Theil indices were used to quantify and decompose regional disparities. Spatial clustering patterns and heterogeneity were then identified through global and local Moran’s I analysis. Following this, spatial Markov chains modeled state transitions and neighborhood spillover effects. Finally, the Spatial Durbin Model (SDM) was applied to distinguish between the direct and indirect effects of key socioeconomic drivers. The findings reveal that disparities in emissions are largely driven by factors within each region. In BTH, heavy industrial lock-in accounts for 47.1% of the within-group inequality. By contrast, the YRD and PRD show noticeable convergence, achieved through industrial synergy and technological restructuring, respectively. The mechanisms of spatial spillover also differ across regions. In the YRD, emissions exhibit strong clustering tied to geographic proximity, with Moran’s I consistently above 0.6. In BTH, policy linkages play a more central role in shaping emission patterns. Meanwhile, in the PRD, widespread technological diffusion weakens the conventional distance-decay effect. The influence of key drivers varies notably among the urban agglomerations. Economic growth has the strongest scale effect in the PRD, reflected by a coefficient of 0.556. Industrial transformation significantly lowers emissions in the YRD, with a coefficient of −0.115. Technology investment reduces emissions in BTH (−0.124) and the PRD (−0.076), but is associated with a slight rebound in the YRD (0.037). Overall, these results highlight the persistent path dependence and distinct spatial interdependencies of carbon emissions in each region. This underscores the need for tailored mitigation strategies that are coordinated across administrative boundaries. Full article

This study examines how green finance influences high-quality economic development, with a particular focus on its spatial spillover mechanisms. Specifically, we investigate the competing roles of technology spillover and the pollution haven effect. Using provincial panel data from China (2010–2021) and applying a Spatial Durbin Model (SDM), we deconstruct the total effect of green finance into three distinct components: the local technological progress effect, the positive technology spillover effect, and the negative pollution haven effect. While acknowledging limitations related to the macro-level data granularity and the indirect nature of the mechanism tests, our analysis yields three main findings. First, green finance development shows significant regional disparities. It has progressed most rapidly in the eastern region, remained relatively stable in the central region, and declined in the western region. Second, green finance exerts a strong positive direct effect on local high-quality economic development. This promoting effect becomes even stronger in more developed regions. Third, green finance generates significant negative spatial spillovers on neighboring regions. These are primarily driven by the pollution haven effect, which involves the cross-regional relocation of polluting industries. However, local technological progress partially mitigates these adverse externalities. Overall, our findings reveal the dual nature of the spatial externalities associated with green finance. They also highlight the urgency of coordinated regional environmental governance to prevent “green leakage” and to promote balanced, high-quality economic development. Full article

Common prosperity is an essential requirement of socialism with Chinese characteristics for a new era. Problems caused by the urban rural dual structure, such as resource misallocation, ecological-economic imbalance, and insufficient farmer income growth, not only hinder common prosperity but also conflict with the sustainable development strategy. As the core path to break the dual structure and narrow gaps, the multi-dimensional impact and mechanism of urban rural integrated development on common prosperity need systematic verification. Based on panel data of 31 Chinese provinces from 2014 to 2023, this paper uses fixed-effects and mechanism test models to examine its direct, indirect, and spatial spillover effects, focusing on transmission mechanisms of wage, property, and operating incomes. Findings show: First, it exerts significant positive direct and cross-regional spillover effects on common prosperity; Second, wage and property incomes are key transmission paths, while operating income’s mediating effect is unclear; Third, effects vary geographically, stronger in eastern/central China, weaker in northeast China and insignificant in west China; Fourth, economic and spatial integration play prominent roles, social service integration has inhibitory effect, and ecological integration’s effect is under-released. Accordingly, this paper puts forward countermeasures to optimize resource allocation, tackle the rural operating income dilemma, advance regional coordination, and enhance equal social services, providing references for improving common prosperity policies and rural sustainable development. Full article

The global demand for argan oil has grown considerably in recent years, creating economic opportunities while raising concerns about ecosystem degradation and the sustainability of production systems. To support long-term viability, several initiatives have promoted environmentally friendly practices and fair value-chain models. However, the effective market integration of these initiatives depends on understanding consumer behavior and preferences toward sustainable products. This study aims to identify the determinants influencing consumers’ purchase intention for sustainable argan oil using an extended framework of the Theory of Planned Behavior (TPB). A structural equation modeling approach was applied to analyze responses from adult consumers with a minimum education level of secondary education. The results show that consumer attitude, perceived behavioral control, and willingness to pay have significant positive effects on purchase intention, while ecological literacy exerts an indirect influence through attitude, social norms, perceived behavioral control, and willingness to pay. In contrast, ecological literacy has no significant direct impact. These findings improve the understanding of behavioral mechanisms underlying green product consumption and offer insights into designing marketing strategies that align with sustainability values and promote responsible consumer choices. Full article

This paper examines the impact of industrial energy efficiency on household energy poverty in the twenty-seven Member States of the European Union for the period 2003–2023. Although the literature has widely discussed energy efficiency as an enabler of decarbonisation and economic performance, its direct link to energy poverty at the macro level has rarely been analysed, let alone with respect to structural changes in industry. Filling this gap, this paper evaluates whether reductions in industrial energy intensity result in reduced energy poverty, understood as the share of households unable to maintain adequate indoor thermal comfort. Empirical analysis relies on a balanced panel dataset and uses fixed-effects regression models to take into account unobserved country-specific and time-specific heterogeneity. In addition, potential endogeneity between industrial energy intensity and labour productivity is addressed by the instrumental variable approach using two-stage least squares. The main models also include key macroeconomic and social control variables: real GDP per capita, social benefit expenditure, electricity prices for households, and unit labour costs. The results yield a robust and statistically significant positive link between industrial energy intensity and energy poverty, suggesting that efficiency improvements in industry make a quantifiable difference in household energy deprivation. This effect even increases in strength after the correction for endogeneity, thereby corroborating the causal relevance of productivity-driven efficiency gains. The findings also show substantial heterogeneity between EU Member States, indicating that national structural features will determine baseline levels of energy poverty. However, no strong evidence is found for an indirect price-mediated transmission mechanism or for moderation effects bound to income levels or social expenditure. This study provides sound empirical evidence that industrial energy efficiency is an important but structurally conditioned lever to alleviate energy poverty in the European Union. The results emphasise the integration of industrial efficiency policies with social and institutional frameworks while designing strategies for a just and inclusive energy transition. Full article

Cultural tourism has emerged as a key factor in destination development, but moving from growth-oriented expansion to sustainability necessitates a better comprehension of the psychological processes influencing visitor involvement. Existing studies insufficiently integrate destination-level diversification with tourist psychological identity, particularly within emerging economies. Drawing on a diversified development framework, this study constructs a theoretical model linking economic, cultural, social, and environmental dimensions with tourist psychological identity and sustainable destination development. Questionnaire data from 300 respondents were analyzed using regression analysis to examine direct and indirect effects across influencing factors. Economic development (β = 0.45), government policy support (β = 0.23), and investment orientation (β = 0.32) significantly strengthen sustainable cultural tourism development. Cultural resources (β = 0.51), cultural exchange (β = 0.27), and creative industries (β = 0.18) also exhibit strong positive effects. Tourist psychological identity is shaped by personal economic status (β = 0.42), cultural experience (β = 0.33), and social recommendations (β = 0.35). Moreover, psychological identity exerts a substantial influence on sustainable development (β = 0.56), indicating a reinforcing mechanism between destination diversification and long-term sustainability. Findings demonstrate that diversified development pathways enhance both destination sustainability and tourists’ psychological attachment, offering actionable implications for destination marketing and management. This study contributes to shifting tourism development from a growth paradigm toward a sustainability paradigm, supporting SDGs 8, 11, and 12. Full article

Ethiopia presents a compelling paradox in sustainable development: despite decades of rapid economic growth, improvements in human well-being have not been commensurate. This study examines the role of global economic integration in resolving this paradox by analyzing the impact of trade openness (TOP) and foreign direct investment (FDI) on human development in Ethiopia from 1991 to 2021. We hypothesize that this paradox arises because the benefits of trade and FDI operate primarily through an income-growth channel, with a weaker direct effect on health and education capabilities. Moving beyond the standard Human Development Index (HDI), we construct a modified index (HDI*) that excludes the income component, allowing us to disentangle direct effects on health and education from indirect effects mediated through economic growth. Using the ARDL bounds testing approach, we find that TOP and FDI have significantly stronger long-run effects on standard HDI (0.343 and 0.214, respectively) than on the non-income HDI* (0.235 and 0.136). This indicates that approximately one-third (31.5%) of TOP’s and over one-third (36.4%) of FDI’s total benefit is income-mediated, while the remainder reflects direct capability enhancement. The analysis further reveals that institutional quality significantly amplifies these benefits, whereas inflation specifically undermines non-income dimensions, highlighting the acute vulnerability of social sectors to macroeconomic instability. We conclude that the Ethiopian paradox stems not from a failure of growth but from its weak translation into direct, sustainable gains in health and education. We recommend policies to strengthen institutional governance, attract FDI into health and education sectors, lower trade barriers for agricultural exports, and use trade agreements to address structural trade deficits and promote sustainable human development. Full article

Recurrent urinary tract infections (rUTIs) are a prevalent public health problem in women, with significant clinical, psychological, and economic consequences. Standard antibiotic prophylaxis, while effective, is limited in the medium term due to the risk of bacterial resistance and potential side effects. This narrative review summarizes the current evidence on the efficacy, safety, and economic impact of Uromune^®—a sublingual bacterial vaccine—as a preventive strategy for rUTIs. A literature search was conducted, focusing on systematic reviews and meta-analyses that evaluated Uromune^® in women and in other specific at-risk populations. Available data show that Uromune^® reduces the frequency of UTI episodes, prolongs recurrence-free intervals, and decreases overall antibiotic use. The vaccine has a favorable safety profile, with predominantly mild adverse effects and a low discontinuation rate. Furthermore, its use has been associated with improved quality of life and a marked reduction in direct and indirect healthcare costs. These findings support Uromune^® as an effective, safe, and potentially cost-effective alternative to conventional antibiotic prophylaxis in the current context of increasing antimicrobial resistance. Full article

With the rapid development of the digital economy, digital technologies have become a key driver of rural revitalization. To systematically analyze the enabling mechanisms of digital technology for rural revitalization, this study utilizes panel data from 30 Chinese provinces spanning 2014–2023. It measures digital technology levels through the number of digital economy-related invention patents granted annually, constructs a comprehensive evaluation index system for rural revitalization, and employs fixed-effects models, mediation models, and spatial Durbin models to explore the direct impact, indirect effects, and spatial effects of digital technology on rural revitalization. The findings reveal that the following: (1) Digital technology significantly empowers the rural revitalization strategy, effectively promoting the comprehensive and sustainable development of the economic, social, and cultural sectors in rural areas. (2) Digital technology exerts partial mediating effects through cultural industry development and higher education advancement, thereby indirectly supporting sustainable rural revitalization. (3) At the spatial level, digital technology exhibits a significant positive spatial spillover effect on rural revitalization overall. Further regional analysis reveals positive spatial spillover effects in the eastern and central regions, whereas the western and northeastern areas exhibit negative spatial spillover. The study concludes that optimizing the spatial layout and promoting coordinated development of digital technologies across areas should be tailored to local conditions. Strengthening cultural industries and educational systems is essential to fully harness the enabling potential of digital technologies for rural revitalization and to construct a rural revitalization path characterized by regional coordination and multidimensional sustainability across the economy, society, and environment. Full article

This study empirically examines how information technology (IT) governance and digital financial transformation interact to influence economic sustainability performance. The research instrument used in the current study is a questionnaire survey. The data were collected from different government authorities in Oman. The study used convenience and snowball sampling to collect the data. Online questionnaire platforms, such as Google Forms, were used to collect data for the current study. The data collected for the current study were from 104 respondents. The results indicate that IT governance has a significant positive effect on digital financial transformation. Further, digital financial transformation has effectively and significantly enhanced the level of economic sustainability performance. However, IT governance does not have a direct effect on economic sustainability performance; rather, it has an indirect effect on economic sustainability performance through the mediating effect of digital financial transformation. These findings provide actionable implications for policymakers and practitioners to enhance awareness and integration of governance across different aspects in the context of digital financial transformation. The present study contributes to the literature and offers a unique perspective to the existing body of knowledge by highlighting the importance of IT governance as a key driver for digital financial transformation and economic sustainability performance. Full article

The end-of-life phase of a building, which includes demolition and waste disposal, represents a crucial aspect of sustainable construction. In Europe, construction and demolition (C&D) waste accounts for approximately 40% of the total waste generated in the EU, making its management a global challenge. The EU Construction & Demolition Waste Management Protocol (2024) emphasizes the importance of evaluating, before proceeding with the demolition of a building, whether renovation could be a more efficient solution, considering economic, environmental, and technical aspects. From an economic perspective, demolition costs vary depending on several factors, including project size, structural complexity, techniques employed (conventional or non-conventional), materials to be removed, and local regulations. In addition to the direct costs of the intervention, it is essential to consider indirect impacts, such as the management of construction and demolition (C&D) waste, the removal of hazardous substances, and potential environmental damage to be mitigated. This study analyzes a case located in Italy, in the municipality of Caivano (Metropolitan City of Naples, in Campania region), concerning a building that required energy efficiency improvements and seismic upgrades. The decision to demolish and rebuild proved to be economically more advantageous than renovation, while also allowing a 35% increase in volume, enabling the creation of a greater number of housing units. Through the analysis of this real case study, the aim is to highlight how investments in demolition, if properly planned, designed, assessed, and managed, can effectively contribute to building redevelopment, supporting the transition towards a sustainable construction model in line with the principles of the circular economy. Full article

Urban inefficient land redevelopment (UILR) is crucial for sustainable urban development, yet its progress is driven by the interplay of multiple factors. To systematically uncover the driving mechanisms and dynamic patterns of these factors, an integrated analytical approach combining Structural Equation Modeling (SEM) and Fuzzy Cognitive Map (FCM) is developed in this study. Based on 222 valid survey responses from professionals across eight cities in China’s Yangtze River Delta region, five key factors are identified within the “drivers–pressure–enablers” conceptual framework: economic incentives, environmental objectives, social needs, policy guidance, and implementation conditions. SEM is first employed to examine static causal relationships, and the quantified pathway effects are subsequently incorporated into an FCM model to simulate the long-term evolution. The results reveal the following: (i) All five factors exert significant direct effects, with economic incentives, environmental objectives, and policy guidance also demonstrating notable indirect effects. (ii) The factors exhibit distinct temporal characteristics: policy guidance acts as a “fast variable” enabling short-term breakthroughs; economic incentives serve as a “strong variable” driving medium-term progress; and social needs function as a “slow variable” with long-term benefits. (iii) Policy guidance is essential, as its absence leads to persistently low effectiveness, while its synergy with implementation conditions can achieve satisfactory performance even without economic incentives. The combined SEM–FCM approach validates static hypotheses and simulates dynamic scenarios, offering a new perspective for analyzing complex driving mechanisms of UILR and providing practical insights for targeted redevelopment strategy design. Full article

Background: Recent economic instability and social isolation have increased mental health vulnerabilities among young adults, highlighting the need to clarify how multiple contextual factors shape their subjective well-being. This study explored the relationship between depressive symptoms and subjective well-being among Korean young adults. It also investigated the mediating effects of housing satisfaction, social capital, occupational hazards, and future achievement readiness on this relationship. Methods: A parallel mediation model was used to analyze the mediating effects of housing satisfaction, social capital, future achievement readiness, and occupational hazards on the relationship between depressive symptoms and subjective well-being. The model examined direct and indirect pathways to determine the extent to which these factors influence subjective well-being in young adults. Results: Depressive symptoms were associated with reduced housing satisfaction, social capital, and future achievement readiness, as well as increased exposure to occupational hazards. All four variable associations between depressive symptoms and subjective well-being, suggesting that multiple structural and psychosocial conditions jointly shape young adults’ subjective well-being. Conclusions: The findings suggest that conventional mental health services alone may be insufficient. A multifaceted approach—including housing welfare policies, social connection support, employment and adjustment programs, and initiatives that enhance future preparedness—may help mitigate the negative effects of depressive symptoms and improve subjective well-being among young adults. Full article

Accurate wheat yield prediction is essential for ensuring food security and supporting governmental decision-making. However, the scarcity of long-term agricultural time-series data and the complex interplay between meteorological and socio-economic factors pose significant challenges. To address these issues, this study proposes a Transfer-Learning-Based Parallel CNN–LSTM–Attention (TPCLA) model for wheat yield forecasting. A cross-regional transfer learning strategy is employed to mitigate data scarcity by leveraging temporal patterns learned from regions with similar ecological characteristics. The proposed parallel architecture integrates one-dimensional convolutional neural networks and long short-term memory networks to jointly extract spatial and temporal features, while an attention mechanism is incorporated to highlight key influencing factors and enhance feature interpretability. Unlike conventional studies that primarily focus on climatic variables, this work considers both direct factors (e.g., average temperature and precipitation) and indirect socio-economic factors (e.g., agricultural mechanization level, total agricultural output value, grain production scale, cultivated land area, and disaster-affected area). Experimental results on multivariate wheat data from 1993 to 2024 demonstrate that several indirect indicators exert a more substantial influence on yield than traditional meteorological variables—reflecting the increasing ability of modern agricultural practices to buffer climatic variability. The proposed TPCLA model achieves an RMSE of 0.394, MAE of 0.326, and an $R^2$ of 0.904, outperforming multiple benchmark models and confirming its robustness and predictive superiority under small-sample conditions. The findings not only validate the effectiveness of integrating indirect yield-influencing factors but also provide new insights for agricultural policy formulation and climate resilience strategies. Full article