Search Results (403)

Glocalization plays a vital role in promoting regionally embedded sustainable development by enabling territories to adapt global economic impulses to local capacities, values, and institutional frameworks. This paper develops a framework for the quantitative assessment of economic glocalization at the regional level, focusing on the European Union. Drawing on the conceptual metaphor of “refraction”, glocalization is interpreted as a transformation of global economic impulses as they pass through and interact with localized socio-economic structures. The authors construct a Glocalization Index System comprising three sub-indices: (1) Index of Generation of Globalization Impulses, (2) Index of Resistance to Globalization Impulses, and (3) Index of Transformation of Globalization Impulses. Each sub-index integrates normalized indicators related to regional creativity—conceptualized through the four “I”s: Institutions, Intelligence, Inspiration, and Infrastructure—as well as trade and investment dynamics. The empirical analysis reveals substantial interregional variation in glocalization capacities, with regions of Germany, the Netherlands, Sweden, and Finland ranking among the most prominent generators and transformers of globalization impulses. Strong correlations are observed between the Resistance and Transformation indices, supporting the hypothesis that medium resistance levels contribute most effectively to transformation processes. By integrating both global (exogenous) and local (endogenous) dimensions, the proposed framework not only addresses a gap in economic literature but also offers a tool for guiding policies aimed at sustainable, adaptive, and innovation-driven regional development. Full article

Introduction: The decline of serum estrogen in postmenopausal women leads to several changes in the vulvovaginal and vesicourethral areas, resulting in the genitourinary syndrome of menopause (GSM), characterized by bothersome symptoms such as vaginal atrophy, lack of lubrication, dyspareunia, urgency, dysuria, and recurrent urinary tract infections. Nevertheless, this condition could also be experienced by younger women affected by hormone-dependent tumors. Although topical estrogens are considered “the gold standard”, hormonal treatments cannot be indicated in cancer survivors. As a result, energy-based devices using radiofrequency and laser technologies have emerged as alternative options. This prospective study aimed to evaluate the benefits of non-invasive monopolar radiofrequency (RF) in women affected by GSM who have contraindications to, did not respond to, or declined local estrogen therapy. Methods: The patients underwent five weekly sessions of second-generation monopolar RF. At baseline and at the fifth session, two validated questionnaires were administered to the patients: the Visual Analogue Scale (VAS) and the Female Sexual Function Index (FSFI-19). On the other hand, the vaginal mucosa status was evaluated by clinicians through the Vaginal Health Index (VHI). At the end of the cycle, the Patient Global Impression of Improvement (PGI-I) questionnaire was collected. Results: Based on 44 patients who completed five sessions of radiofrequency, a significant improvement was observed in sexual function according to the FSFI scale (22.9 vs. 38.6; p < 0.001) and in VVA atrophy symptoms, as documented by the VAS score (223 vs. 125; p < 0.001). The mean VHI score increased by 3 points (p < 0.001). Moreover, according to PGI-I, 96% of patients reported a perceived improvement (PGI-I score ≤ 3). Conclusions: Radiofrequency could provide an innovative and safe therapeutic approach for patients suffering from GSM and VVA, especially when hormonal strategies are unsuitable. Full article

As a result of rapid urbanization, ecological and environmental problems have become increasingly severe. Sustainable regional development requires a balance between urbanization and the environment. With the intensification of economic globalization and technological innovation, the flow of various elements such as population, capital, information, and resources has gradually blurred administrative boundaries, leading to new cross-scale evolutionary characteristics in this relationship. However, existing studies have primarily been conducted at the local scale and have failed to capture the impact of cross-regional element flows on the relationship between urbanization and the environment. Under the metacoupling framework, this study improves the existing methodological framework by integrating the flows of production factors and ecosystem service (ES) to characterize the metacoupling between urbanization and the environment in the Chengdu-Chongqing urban agglomeration (CCUA). A new comprehensive index system for urbanization and environment was constructed, considering the cross-regional flow of multiple factors. The Coupling Coordination Degree model was employed to calculate the degree of intracoupling, pericoupling, and telecoupling between urbanization and the environment. The Geodetector model was used to determine the effects of local, adjacent, and distant flows of production and ES factors on these degrees. The results show that the intracoupling between urbanization and the environment was low, while the pericoupling and telecoupling increased from local to distant scales. Production factor and ES flows were the common factors affecting the metacoupling between urbanization and the environment, but population flows and capital flows were more strongly explained at the local scale, and ES flow was more strongly explained at the adjacent and distant scales. Based on these results, a systematic understanding of the complex relationship between urbanization and environment is provided, which in turn provides a basis for decision making regarding the coordinated and sustainable development of urban and ecological management in the CCUA as well as other urban agglomerations. Full article

This study examines the extent to which smart cities are expressions of nationally homogeneous development trends by way of an analysis of their structural characteristics from a multivariate viewpoint. Drawing on data from the International Institute for Management Development IMD Smart City Index 2024, we find a sample of 102 cities across the world clustering along six key dimensions of smartness: mobility, environment, government, economy, people, and living. The aim is to examine if cities within a country have similar profiles and, if so, to what degree such similarity translates to other macro-level institutional, political, and cultural conditions. Our results verify a tight correspondence between city profiles and national contexts, implying that macro-level governance arrangements, policy coordination, and institutional capacity are pivotal in influencing local smart city development. Planned centralised countries possess more uniform city characteristics, while decentralised nations possess more variant urban policies. This study contributes to international debate regarding smart cities by empirically identifying national directions of urban innovation. It offers pragmatic inputs for policymakers that aim to align local efforts with overall sustainable development agendas. Moreover, this study introduces a novel application of Linear Discriminant Analysis (LDA) to classify smart city profiles based on national models. While the analysis yields high classification accuracy, it is important to note that the sample is skewed toward cities from the Global North, potentially limiting the generalisability of the results. Full article

Artificial intelligence (AI) is playing an increasingly important role in driving sustainable change across coastal and marine environments. Artificial intelligence offers strong support for environmental decision-making by helping to process complex data, anticipate outcomes, and fine-tune day-to-day operations. In busy coastal zones such as the Mediterranean where tourism and boating place significant strain on marine ecosystems, AI can be an effective means for marinas to reduce their ecological impact without sacrificing economic viability. This research examines the contribution of artificial intelligence toward the development of environmental sustainability in marina management. It investigates how AI can potentially reconcile economic imperatives with ecological conservation, especially in high-traffic coastal areas. Through a focus on the impact of social and technological context, this study emphasizes the way in which local conditions constrain the design, deployment, and reach of AI systems. The marinas of Ibiza and Monaco are used as a comparative backdrop to depict these dynamics. In Monaco, efforts like the SEA Index^® and predictive maintenance for superyachts contributed to a 28% drop in CO₂ emissions between 2020 and 2025. In contrast, Ibiza focused on circular economy practices, reaching an 85% landfill diversion rate using solar power, AI-assisted waste systems, and targeted biodiversity conservation initiatives. This research organizes AI tools into three main categories: supervised learning, anomaly detection, and rule-based systems. Their effectiveness is assessed using statistical techniques, including t-test results contextualized with Cohen’s d to convey practical effect sizes. Regression R² values are interpreted in light of real-world policy relevance, such as thresholds for energy audits or emissions certification. In addition to measuring technical outcomes, this study considers the ethical concerns, the role of local communities, and comparisons to global best practices. The findings highlight how artificial intelligence can meaningfully contribute to environmental conservation while also supporting sustainable economic development in maritime contexts. However, the analysis also reveals ongoing difficulties, particularly in areas such as ethical oversight, regulatory coherence, and the practical replication of successful initiatives across diverse regions. In response, this study outlines several practical steps forward: promoting AI-as-a-Service models to lower adoption barriers, piloting regulatory sandboxes within the EU to test innovative solutions safely, improving access to open-source platforms, and working toward common standards for the stewardship of marine environmental data. Full article

Drawing on panel data for eight major citrus-producing provinces in China from 2008 to 2021, this study employs the super-efficiency EBM model—which incorporates both radial proportion and non-radial slack variables—to measure citrus green total factor productivity (GTFP). Temporal changes are investigated via the GML index, while regional disparities and convergence patterns are examined through a series of complementary techniques, thereby offering a comprehensive view of the sector’s green and coordinated development. The results reveal that, from a static perspective, the technical efficiency of most citrus-producing provinces remains below the production frontier. Dynamically, regional GTFP diverged markedly over the study period, with technical efficiency serving as the principal driver of growth. Convergence tests show no evidence of σ-convergence for the nation as a whole or for any of the three major producing regions. Absolute and conditional β-convergence coexist at the national level and in the upper–middle Yangtze region; the Zhejiang–Fujian hills exhibit no β-convergence, whereas the Guangdong–Guangxi hills display conditional β-convergence only. The findings indicate substantial room for improvement in China’s citrus GTFP. We therefore recommend that each region (1) accelerates green-technology innovation, (2) designs differentiated yet coordinated regional strategies, (3) institutionalizes long-term safeguards for green development, and (4) deepens international cooperation to enhance global competitiveness. Full article

In the face of growing climate, economic, and social challenges, an integrated strategy is required to ensure the resilience of food systems in vulnerable regions is strengthened. This study aims to formulate strategies for increasing food security in Mercosur countries amid extreme climate events and socio-economic and environmental crises. These strategies are based on an analysis of the following: (i) changes in food security levels (Global Food Security Index); (ii) self-sufficiency in major agricultural products; (iii) key economic and environmental drivers between 2012 and 2022; and (iv) an assessment of the effectiveness of public policies aimed at alleviating the effects of poverty and drought between 2022 and 2023. A SWOT analysis was conducted to identify the strengths and weaknesses of food systems, as well as the opportunities and threats facing Mercosur countries. Significant differences in food systems’ availability and resilience have been revealed by the results, and the need for integrated regional policies in the countries studied has been highlighted. Recommendations for the region include developing infrastructure and logistics; investing in research and innovation; combatting poverty and inequalities; adapting to the effects of climate change; promoting the local production of fertilisers and biofuels; and implementing coherent monitoring mechanisms (GFSI). Full article

The Research Integrity Risk Index (RI²), introduced as a tool to identify universities at risk of compromised research integrity, adopts an overly reductive methodology by combining retraction rates and delisted journal proportions into a single, equally weighted composite score. While its stated aim is to promote accountability, this commentary critiques the RI² index for its flawed assumptions, lack of empirical validation, and disproportionate penalization of institutions in low- and middle-income countries. We examine how RI² misinterprets retractions, misuses delisting data, and fails to account for diverse academic publishing environments, particularly in Indonesia, where many high-performing universities are unfairly categorized as “high risk” or “red flag.” The index’s uncritical reliance on opaque delisting decisions, combined with its fixed equal-weighting formula, produces volatile and context-insensitive scores that do not accurately reflect the presence or severity of research misconduct. Moreover, RI² has gained significant media attention and policy influence despite being based on an unreviewed preprint, with no transparent mechanism for institutional rebuttal or contextual adjustment. By comparing RI² classifications with established benchmarks such as the Scimago Institution Rankings and drawing from lessons in global development metrics, we argue that RI², although conceptually innovative, should remain an exploratory framework. It requires rigorous scientific validation before being adopted as a global standard. We also propose flexible weighting schemes, regional calibration, and transparent engagement processes to improve the fairness and reliability of institutional research integrity assessments. Full article

This study examines the development of the digital economy and society in the Republic of Kazakhstan by combining international benchmarking with a context-specific national framework. It highlights the limitations of existing global indices such as DESI, NRI, and EGDI in capturing the structural and institutional dimensions of digital transformation in emerging economies. To address this gap, the study introduces a novel composite metric, the Index of Digital Economy Development (IDED), which integrates five sub-indices: infrastructure, usage, human capital, economic digitization, and transformation effectiveness. The methodology involves comparative index analysis, the construction of the IDED, and statistical validation through a public opinion survey and regression modeling. Key findings indicate that cybersecurity is a critical yet under-represented component of digital development, showing strong empirical correlations with DESI scores in benchmark countries. The results also highlight Kazakhstan’s strengths in digital public services and internet access, contrasted with weaknesses in business digitization and innovation. The proposed IDED offers a more comprehensive and policy-relevant tool for assessing digital progress in transitional economies. This study contributes to the literature by proposing a replicable index structure and providing empirical evidence for the inclusion of cybersecurity in national digital economy assessments. The aim of the study is to assess Kazakhstan’s digital economy development by addressing limitations in global measurement frameworks. Methodologically, it combines comparative index analysis, the construction of a national composite index (IDED), and statistical validation using a regional survey and regression analysis. The findings reveal both strengths and gaps in Kazakhstan’s digital landscape, particularly in cybersecurity and SME digitalization. The IDED introduces an innovative, context-sensitive framework that enhances the measurement of digital transformation in transitional economies. Full article

Achieving sustainable development goals remains a core issue in global development. In response, China has proposed the development of new quality productive forces (NQPFs) through innovative thinking, emphasizing that fostering NQPFs is both an intrinsic requirement and a pivotal focus for advancing high-quality development. Concurrently, the intelligent transformation of the manufacturing sector serves as a critical direction for China’s economic restructuring and upgrading. This paper places “new quality productive forces” and “intelligent transformation of manufacturing” within the same analytical framework. Starting from the logical chain of “new quality productive forces—three major mechanisms—intelligent transformation of manufacturing,” it concretizes the value implications of new quality productive forces into a systematic conceptual framework driven by the synergistic interaction of three major mechanisms: the mechanism of revolutionary technological breakthroughs, the mechanism of innovative allocation of production factors, and the mechanism of deep industrial transformation and upgrading. This study constructs a “3322” evaluation index system for NQPFs, based on three formative processes, three driving forces, two supporting systems, and two-dimensional characteristics. Simultaneously, it builds an evaluation index system for the intelligent transformation of manufacturing, encompassing intelligent technology, intelligent applications, and intelligent benefits. Using national time-series data from 2012 to 2023, this study assesses the development levels of both NQPFs and the intelligent transformation of manufacturing during this period. The study further analyzes the impact of NQPFs on the intelligent transformation of the manufacturing sector. The research results indicate the following: (1) NQPFs drive the intelligent transformation of the manufacturing industry through the three mechanisms of innovative allocation of production factors, revolutionary breakthroughs in technology, and deep transformation and upgrading of industries. (2) The development of NQPFs exhibits a slow upward trend; however, the outbreak of the pandemic and Sino-US trade frictions have caused significant disruptions to the development of new-type productive forces. (3) The level of intelligent manufacturing continues to improve; however, from 2020 to 2023, due to the impact of the COVID-19 pandemic and Sino-US trade conflicts, the level of intelligent benefits has slightly declined. (4) NQPFs exert a powerful driving force on the intelligent transformation of manufacturing, exerting a significant positive impact on intelligent technology, intelligent applications, and intelligent efficiency levels. Full article

Understanding the impacts of climate change on species’ geographic distributions is fundamental for biodiversity conservation and resource management. As a key plant group for ecological restoration and windbreak and sand fixation in arid and semi-arid ares in China’s Three Northern Regions (Northeast, North, and Northwest China), Caragana spp. exhibit distribution patterns whose regulatory mechanisms by environmental factors remain unclear, with a long-term lack of climatic explanations influencing their spatial distribution. This study integrated 2373 occurrence records of 44 Caragana species in China’s Three Northern Regions with four major environmental variable categories. Using the Biomod2 ensemble model, current and future climate scenario-based suitable habitats for Caragana spp. were predicted. This study innovatively combined quantitative analyses with Kira’s thermal indexes (warmth index, coldness index) and Wenduo Xu’s humidity index (HI) to elucidate species-specific relationships between distribution patterns and hydrothermal climatic constraints. The main results showed that (1) compared to other environmental factors, climate is the key factor affecting the distribution of Caragana spp. (2) The current distribution centroid of Caragana spp. is located in Alxa Left Banner, Inner Mongolia. In future scenarios, the majority of centroids will shift toward lower latitudes. (3) The suitable habitats for Caragana spp. will expand overall under future climate scenarios. High-stress scenarios exhibit greater spatial changes than low-stress scenarios. (4) Hydrothermal requirements varied significantly among species in China’s Three Northern Regions, and 44 Caragana species can be classified into five distinct types based on warmth index (WI) and humidity index (HI). The research findings will provide critical practical guidance for ecological initiatives such as the Three-North Shelterbelt Program and the restoration and management of degraded ecosystems in arid and semi-arid regions under global climate change. Full article

Introduction: Breakfast has emerged as a critical factor in preventing cardiovascular diseases, driven not only by its nutritional content but also by its alignment with circadian rhythms. However, gaps remain in the literature regarding its clinical impact and thematic evolution. Objective: To characterize the global scientific output on the relationship between breakfast quality and cardiovascular health through a systematic bibliometric analysis. Methodology: The PRISMA 2020 protocol was applied to select 1436 original articles indexed in Scopus and Web of Science (1957–2025). Bibliometric tools, including R (v4.4.2) and VOSviewer (v1.6.19) were used to map productivity, impact, collaboration networks, and emerging thematic areas. Results: Scientific output has grown exponentially since 2000. The most influential journals are the American Journal of Clinical Nutrition, Nutrients, and Diabetes Care. The United States, United Kingdom, and Japan lead in publication volume and citations, with increasing participation from Latin American countries. Thematic trends have shifted from traditional clinical markers to innovative approaches such as chrononutrition, digital health, and personalized nutrition. However, methodological gaps persist, including a predominance of observational studies and an underrepresentation of vulnerable populations. Conclusions: Breakfast is a dietary practice with profound implications for cardiometabolic health. This study provides a comprehensive overview of scientific literature, highlighting both advancements and challenges. Strengthening international collaboration networks, standardizing definitions of a healthy breakfast, and promoting evidence-based interventions in school, clinical, and community settings are recommended. Full article

Carbon emissions from freshwater aquaculture can exacerbate the greenhouse effect, thereby impacting human life and health. Consequently, it is of great significance to explore the carbon peak process and the role of emission reduction data in China’s freshwater aquaculture industry. This study innovatively employs the Logarithmic Mean Divisia Index model (LMDI) and the Tapio decoupling model to conduct an in-depth analysis of the relationship between carbon emissions and output values in the freshwater aquaculture industry, accurately identifying the main driving factors. Meanwhile, the global and local Moran’s I indices are introduced to analyze its spatial correlation from a new perspective. The results indicate that from 2013 to 2023, carbon emissions from China’s freshwater aquaculture industry exhibited a quasi-“N”-shaped trend, reaching a peak of 38 million tons in 2015. East China was the primary contributor to carbon emissions, accounting for 46%, while South China, Central China, and Northeast China each had an average annual share of around 14%, with Southwest, North China, and Northwest China contributing relatively small proportions. The global Moran’s I index showed a decreasing trend, with a p-value ≤ 0.0010 and a z-score > 3.3, indicating a 99% significant spatial correlation. High-high clusters were concentrated in some provinces of East China, while low-low clusters were found in Northwest, North, and Southwest China. The level of fishery economic development positively drove carbon emissions, whereas freshwater aquaculture production efficiency, industrial structure, and the scale of the aquaculture population had negative effects on carbon emissions. During the study period, carbon emissions exhibited three states: weak decoupling, strong decoupling, and expansive negative decoupling, with alternating strong and weak decoupling occurring after 2015. Full article

The realization of agricultural modernization inevitably requires the improvement of agricultural land productivity. Rural public science and technology services is an important driving force to improve agricultural land productivity. However, can rural public science and technology services accelerate the process of agricultural modernization by improving land productivity? This paper innovatively constructs an evaluation index system and an mediating mechanism model, measures the comprehensive index of agricultural modernization and rural public science and technology services through the global entropy method, and empirically tests the mediating effect of the mechanism of “land productivity” with the help of measurement methods such as the Sobel–Goodman test and Bootstrap test. The research results find that rural public science and technology services can positively promote agricultural modernization and pass the 1% significance level test. There is a significant mediating effect of “increasing production” in the impact of rural public science and technology services on agricultural modernization, that is, rural public science and technology services can significantly promote agricultural modernization through the mechanism of “improving land productivity”. Government intervention and economic growth are significantly positive, which can significantly promote agricultural modernization. These findings have clear policy implications: Chinese government should accelerate the filling of gaps in rural public technology services between urban and rural areas in the southwest region, empower land productivity through science and technology, and promote the transformation of agricultural scientific and technological achievements into real productive forces. This research is helpful to provide policy reference and case experience for similar areas to speed up agricultural modernization by giving full play to the mechanism of “improving land productivity” of agricultural science and technology services. Full article

Glass microspheres are essential components in horizontal road markings due to their retroreflective properties, enhancing visibility and safety under low-light conditions. Traditionally produced from soda-lime glass made with high-purity silica from sand, their manufacturing raises environmental concerns amid growing global sand scarcity. This study explores the viability of rice husk ash (RHA)—a high-silica byproduct of rice processing—as a sustainable raw material for microsphere fabrication. A glass composition containing 70 wt% SiO₂ was formulated using RHA and melted at 1500 °C. Microspheres were produced through flame spheroidization and characterized following the Brazilian standard NBR 16184:2021 for Type IB beads. The RHA-derived microspheres exhibited high sphericity, appropriate size distribution (63–300 μm), density of 2.42 g/cm³, and the required acid resistance. UV-Vis analysis confirmed their optical transparency, and the refractive index was measured as 1.55 ± 0.03. Retroreflectivity tests under standardized conditions revealed performance comparable to commercial counterparts. These results demonstrate the technical feasibility of replacing conventional silica with RHA in glass microsphere production, aligning with circular economy principles and promoting sustainable infrastructure. Given Brazil’s significant rice production and corresponding RHA availability, this approach offers both environmental and socio-economic benefits for road safety and material innovation. Full article