Search Results (183)

The intensifying global climate warming caused by human activities poses severe challenges to ecosystem stability. Constructing an ecological security pattern can identify ecological land supply and an effective spatial distribution baseline and provide a scientific basis for safeguarding regional ecological security. This study analyzes land-use data from 2000 to 2020 for Golog Tibetan Autonomous Prefecture. The PLUS model was utilized to project land-use potential for the year 2030. The InVEST model was employed to conduct a comprehensive assessment of habitat quality in the study area for both 2020 and 2030, thereby pinpointing ecological sources. Critical ecological restoration zones were delineated by identifying ecological corridors, pinch points, and barrier points through the application of the Minimum Cumulative Resistance model and circuit theory. By comparing ecological security patterns (ESPs) in 2020 and 2030, we proposed a dynamic restoration framework and optimization recommendations based on habitat quality changes and ESPs. The results indicate significant land-use changes in the eastern part of Golog Tibetan Autonomous Prefecture from 2020 to 2030, with large-scale conversion of grasslands into bare land, farmland, and artificial surfaces. The ecological security pattern is threatened by risks like the deterioration of habitat quality, diminished ecological sources as well as pinch points, and growing barrier points. Optimizing the layout of ecological resources, strengthening barrier zone restoration and pinch point protection, and improving habitat connectivity are urgent priorities to ensure regional ecological security. This study offers a scientific foundation for the harmonization of ecological protection and economic development and the policy development and execution of relevant departments. Full article

Research on the supply–demand relationships of ecosystem services (ESs) in alpine pastoral regions remains relatively scarce, yet it is crucial for regional ecological management and sustainable development. This study focuses on the Sanjiangyuan Region, a typical alpine pastoral area and significant ecological barrier, to quantitatively assess the supply–demand dynamics of key ESs and their spatial heterogeneity from 2000 to 2020. It further aims to elucidate the underlying driving mechanisms, thereby providing a scientific basis for optimizing regional ecological management. Four key ES indicators were selected: water yield (WY), grass yield (GY), soil conservation (SC), and habitat quality (HQ). ES supply and demand were quantified using an integrated approach incorporating the InVEST model, the Revised Universal Soil Loss Equation (RUSLE), and spatial analysis techniques. Building on this, the spatial patterns and temporal evolution characteristics of ES supply–demand relationships were analyzed. Subsequently, the Geographic Detector Model (GDM) and Geographically and Temporally Weighted Regression (GTWR) model were employed to identify key drivers influencing changes in the comprehensive ES supply–demand ratio. The results revealed the following: (1) Spatial Patterns: Overall ES supply capacity exhibited a spatial differentiation characterized by “higher values in the southeast and lower values in the northwest.” Areas of high ES demand were primarily concentrated in the densely populated eastern region. WY, SC, and HQ generally exhibited a surplus state, whereas GY showed supply falling short of demand in the densely populated eastern areas. (2) Temporal Dynamics: Between 2000 and 2020, the supply–demand ratios of WY and SC displayed a fluctuating downward trend. The HQ ratio remained relatively stable, while the GY ratio showed a significant and continuous upward trend, indicating positive outcomes from regional grass–livestock balance policies. (3) Driving Mechanisms: Climate and natural factors were the dominant drivers of changes in the ES supply–demand ratio. Analysis using the Geographical Detector’s q-statistic identified fractional vegetation cover (FVC, q = 0.72), annual precipitation (PR, q = 0.63), and human disturbance intensity (HD, q = 0.38) as the top three most influential factors. This study systematically reveals the spatial heterogeneity characteristics, dynamic evolution patterns, and core driving mechanisms of ES supply and demand in an alpine pastoral region, addressing a significant research gap. The findings not only provide a reference for ES supply–demand assessment in similar regions regarding indicator selection and methodology but also offer direct scientific support for precisely identifying priority areas for ecological conservation and restoration, optimizing grass–livestock balance management, and enhancing ecosystem sustainability within the Sanjiangyuan Region. Full article

Sustainable informal learning environments are increasingly recognized as critical components of educational architecture, yet their environmental and behavioral dynamics remain underexplored. Informal learning spaces (ILS) support flexible, student-driven learning beyond formal classrooms. While prior research often isolates individual environmental factors, integrated multi-domain interactions and reciprocal occupant–space dynamics receive less attention. This study adopts a dual-perspective analytical framework, combining spatial analysis and student surveys (n = 1048) across 130 ILS in five academic buildings in China. The findings highlight several environmental dimensions influencing student experience. One extracted factor combines acoustic and thermal comfort with learning atmosphere—domains seldom grouped together—indicating their collective relevance to student experience. Additionally, spatial openness and natural connectivity further enhance student experience. Importantly, the results show that frequently used spaces receive lower physical quality ratings, group collaboration areas outperform individual study zones, and spontaneously formed spaces—informally appropriated, unplanned areas such as corridors or leftover corners—score lowest. These patterns may reflect mismatches between spatial supply and use intensity, institutional investment priorities, and differing levels of student autonomy and environmental control. This research extends conventional post-occupancy evaluations by introducing a comprehensive dual-perspective framework that links spatial characteristics with user-driven dynamics, and by identifying the combined effects of multi-domain physical environmental and supportive elements on student experience. The insights offer empirical grounding and actionable strategies for campus planners and architects, including prioritizing sensory comfort, enhancing spatial diversity, and supporting student-led adaptations to promote sustainable learning environments. Full article

Ecosystem services (ESs) are a life-support system for human development that are also a strategic root for realizing global ecological security and sustainable development. In this study, the spatial distribution pattern of land-use and ESs under three scenarios (an ecological protection scenario (EPS), a natural development scenario (NDS), and a cropland protection scenario (CPS)) in the Tarim River Basin (TRB), Northwest China, is predicted for 2035 using the Future Land-Use Simulation (FLUS)–Integrated Valuation of ESs and Trade-Offs (InVEST) model. Land-use data from 2000 to 2023 are utilized as the basic data, and the spatial and temporal characteristics of land-use and multiple ESs under different scenarios are explored. The results show that (1) the land-use structure of the TRB is dominated by barren land (55.12%) and grassland (30.28%), and the dynamic evolution of the land-use pattern from 2000 to 2023 is characterized by the continuous shrinkage of the area of barren land and the expansion of impervious surfaces, cropland, water bodies, and other productive and living land and water. (2) According to the prediction results of the FLUS model, the different scenarios of land-use for 2020–2035 show various change trends. In the EPS, the proportion of ecological land jumps to 35.23%, while production land and living land show a systematic contraction. Under the NDS, water bodies, grassland, and impervious surfaces experience a decreasing trend, whereas cropland, forest land, and barren land increase in area. Under the CPS, the trend of shrinkage for ecological land accelerates, especially the fragmentation of forest patches (shrinking by 24 km²) and the expansion of cropland and barren land. (3) A comparison and an analysis of the ESs in several scenarios for 2035 show an increase in ESs under the EPS compared with those in 2020, along with a marked improvement in the TRB’s future ecological environment under this scenario. By adhering to the guidance of ecological priority through optimization of the national spatial pattern and the integration of ecological elements, the dynamic balance between ecological protection and economic development can be effectively coordinated, providing core support for the sustainable development of the region. (4) Ecosystem services are significantly impacted by changes in grassland in a variety of settings, particularly in the NDS. Contradictory trade-offs between ecological functions are revealed in the CPS, where cropland expansion promotes soil conservation but worsens the degradation of grassland. In the EPS, the synergistic expansion of grassland and water favorably regulates ecosystem services. A major way to increase the capacity of regional ecosystem services and accomplish sustainable development is to optimize the land-use for ecological preservation, with an emphasis on increasing the acreage of grassland, forest, and water while decreasing the area of cropland and barren. Full article

Conducting ecological restoration has emerged as a critical governance strategy for enhancing ecosystem diversity, stability, and sustainability. The scientific identification of priority restoration areas is a prerequisite for effective ecological restoration projects. Current research on identifying priority restoration zones predominantly relies on administrative-scale frameworks, and the reliability and scientificity of the identified results are somewhat insufficient. To address this gap, this study selected Dali Prefecture in Yunnan Province, a region characterized by dense river networks, as the research area to identify the priority areas of ecological restoration. In view of the application of the InVest model in watershed-scale restoration, biodiversity assessment, and other fields, we utilize sub-watershed units and the InVEST model, and five key ecosystem services—water conservation, water purification (N/P), habitat quality, climate regulation, and soil retention—were quantified. Temporal changes in these services from 2015 to 2020 were analyzed alongside ecological risk assessments and restoration zoning. Priority areas were further identified through Ordered Weighted Averaging (OWA) operators under varying decision-making preferences. The optimal threshold for watershed delineation was determined as 11.04 km², resulting in 1513 refined sub-watershed units after correction, with 71.59% concentrated in the 10–50 km² range. A spatial analysis revealed an east-to-west gradient in ecosystem service distribution, where eastern regions consistently exhibited lower values compared to central and western areas. From 2015 to 2020, soil retention per unit area increased by 5.09%, while water purification for N and P showed marginal improvements of 0.97% and 0.39%, respectively. Conversely, water conservation declined significantly by 10.00%, with carbon sequestration and biodiversity protection experiencing slight reductions of 1.74% and 1.92%, all within a 2% variation margin. Ecological risk zoning identified low-risk areas (grades 1–3) predominantly in western and northeastern Dali, encompassing 1094 sub-watersheds (77.36% by count and 73.92% by area), while high-risk zones (grades 4–5) covered 386 units (26.08% by area). Integrating ecological quality and risk levels, the study area was classified into four functional zones: Zone I (high quality, high risk), Zone II (low quality, high risk), Zone III (low quality, low risk), and Zone IV (high quality, low risk). With increasing risk tolerance, the priority restoration areas expanded from eastward to central regions. Based on the scenario simulations under ecological priority, status quo, and development-oriented policies, the critical restoration areas include the Sangyuan River Basin, mid-reach of the Juli River, and upper Miyu River. This methodology provides a theoretical and technical foundation for ecosystem service enhancement and degraded ecosystem rehabilitation in Dali Prefecture and similar regions. Full article

Ecological risk refers to the potential threat that landscape changes pose to ecosystem structure, function, and service sustainability, while ecological security emphasizes the ability of regional ecosystems to maintain stability and support human well-being. Developing an Ecological Security Pattern (ESP) provides a strategic approach to balance ecological protection and sustainable development. This study investigates the spatial and temporal dynamics of landscape ecological risk in the Tarim Basin and surrounding urban areas in the Xinjiang Uygur Autonomous Region, China, from 2000 to 2020. Using a combination of the InVEST model, landscape connectivity index, and circuit theory-based modeling, we identify ecological source areas and simulate ecological corridors. Ecological source areas are categorized by their ecological value and connectivity: primary sources represent high ecological value and strong connectivity, secondary sources have moderate ecological significance, and tertiary sources are of relatively lower priority but still vital for regional integrity. The results show a temporal trend of ecological risk declining between 2000 and 2010, followed by a moderate increase from 2010 to 2020. High-risk zones are concentrated in the central Tarim Basin, reflecting intensified land-use pressures and weak ecological resilience. The delineated ecological protection zones include 61,702.9 km² of primary, 146,802.5 km² of secondary, and 36,141.2 km² of tertiary ecological source areas. In total, 95 ecological corridors (23 primary, 37 secondaries, and 35 tertiary) were identified, along with 48 pinch points and 56 barrier points that require priority attention for ecological restoration. Valuable areas refer to those with high ecological connectivity and service provision potential, while vulnerable areas are characterized by high ecological risk and landscape fragmentation. This study provides a comprehensive framework for constructing ESPs in arid inland basins and offers practical insights for ecological planning in desert–oasis environments. Full article

The influence of digital transformation on ESG performance has garnered considerable interest; however, previous research in this area has not adequately considered the influence of environmental uncertainty factors. This study utilized a dataset comprising Chinese A-share listed companies from 2009 to 2023 to explore how environmental uncertainty affects the correlation between digital transformation and ESG performance. Furthermore, we also examined potential pathways and heterogeneity. Our findings demonstrate that digital transformation significantly enhances ESG performance, with the positive effects persisting for up to three years post-implementation, although gradually diminishing in intensity. However, environmental uncertainty substantially reduces this positive impact across all pivotal technologies. Improvements in ESG performance are more pronounced in firms that are high-tech, technology-intensive, and capital-intensive and that do not produce heavy pollution. Quantile regression reveals that firms in the upper–middle ESG performance range benefit most. Our mediation analysis confirms that digital transformation enhances ESG performance by increasing firm value, media attention, and analyst coverage. Overall, this study contributes to the existing literature by providing empirical evidence of the impacts of environmental uncertainty. These findings provide strategic guidance for companies navigating digital transformation initiatives in turbulent business environments, while also offering concrete recommendations for regulatory authorities developing ESG disclosure frameworks and digital infrastructure investment priorities tailored to different uncertainty conditions. Full article

The incorporation of climate refugia concepts in large-scale protection efforts (e.g., 30% protected by 2030, 50% by 2050) is needed to forestall the global extinction crisis. The 8.19 M ha Northern Rockies Ecoregion (NRE) of western Montana, northeastern Washington, and northern Idaho, USA, includes the 159,822 Yaak River Watershed (YRW) in northwest Montana, a proposed climate refugium that may buffer extreme climate change effects. Climate projections show temperature increases along with reduced summer precipitation, lowered spring snowpack, and increased wildfire susceptibility across the NRE but to a lesser extent in the YRE under an intermediate emissions scenario. Overall protection levels were quite low in the NRE (2.2% in GAP 1 or 2) and even lower in the YRW (1% of national forests; the USDA Forest Service manages most of the area). Approximately 32% of forests are mature but only 2.4% and 0.25% are protected (GAP 1 or 2) within the NRE and YRW, respectively. Habitat protection levels for eight focal forest species selected to reflect conservation priorities were generally low, with only wolverine (Gulo gulo) meeting conservation targets if roadless areas were better protected. Most (~75%) Forest Service fuel reduction treatments were >1 km from structures despite congressional funds aimed at the wildland–urban interface/intermix. Increased roadless area protections would close the lower bound (30%) target for most ecosystem types and focal species but still fall short of upper targets. We recommend coupling conservation targets with strategic investments in fuel reductions aimed at the innermost buffer around structures, while reducing logging and roadbuilding in priority areas and refugia. Full article

Sugarcane products come from agro-industrial biomass that is increasingly used in the Brazilian energy matrix, which is important for the sustainability and diversification of renewable energy sources. This article examines the concentration and structure of the supply of sugarcane bioelectricity in Brazil from 1975 to 2023. It uses information on the quantity and cumulative licensed potential of sugarcane-based thermoelectric plants in operation, available from the National Electric Energy Agency (ANEEL) through its Generation Information System (SIGA). To measure regional concentration, the study considered geographical areas (large regions, states, intermediate regions and municipalities) using the following concentration indicators: the Concentration Ratio, Herfindahl–Hirschman Index, Theil Entropy, Comprehensive Concentration Index, and Hall–Tideman Index. The main results show a high concentration of sugarcane bioelectricity at regional and state levels, with a predominance in the Southeast-Central-West axis. During the period analyzed, the State of São Paulo remained the leader in terms of energy generated by sugarcane thermoelectric plants operating in Brazil. In the intermediate regions, the concentration was moderate, while at the municipal level, the concentration was low, indicating a highly competitive market. It can be concluded that the areas with the highest concentration are strategic for directing investments and guiding public policies for the sugarcane bioelectricity sector, which are priority locations for new opportunities. The identification of the most promising regions contributes to a more efficient development of the sector. Given that, a more equitable distribution of bioelectricity production across the country could enhance Brazil’s energy security, reduce regional vulnerabilities, and promote more resilient energy systems. Full article

Intersectoral collaboration is an instrument that enables better productivity by filling in for possible gaps in knowledge, skills, and competencies in a given department by leveraging them from other departments. In Kenya, there is a paucity of information on intersectoral collaboration in healthcare. This article explores the possibilities of intersectoral collaboration, specifically in maternal healthcare, and what can be done to realize such collaborations to drive universal health coverage (UHC) in Kenya. Free maternity services (FMSs) are among the primary healthcare services that push Kenya towards UHC. In light of the centrality of UHC in driving current health policy, there are still several challenges which must be faced before this goal can be achieved. Moreover, competing priorities in health systems necessitate difficult choices regarding which health actions and investments to fund; these are complex, value-based, and highly political decisions. Therefore, the primary objective of this article is to explore health facility administrators’ views on whether intersectoral collaboration could help with the realization of UHC in Kenya. The study area was Kilifi County, Kenya. The article is based on follow-up qualitative research conducted between March and July 2016 and from January to July 2017, and follow-up interviews conducted during COVID-19 in 2020 and 2021. The data are analyzed through a thematic analysis approach. The findings indicate that through Linda Mama, the expanded free maternity services program is one of the possible pathways to UHC. However, participants noted fair representation of stakeholders, distributed leadership, and local participation, considering bargaining power as a key issue that could enhance the realization of UHC in intersectoral collaboration through Linda Mama. These techniques require a bottom–up strategy to establish accountability, a sense of ownership, and trust, which are essential for UHC. Full article

Energy efficiency and CO₂ emission reduction are key objectives related to climate change mitigation, sustainable development, and energy resource management. In the Nordic context, energy consumption trends in both the residential and industrial sectors are closely linked to European Union policies, technological innovation, and real estate investments. In recent decades, the development and renovation of the real estate sector has become one of the most important factors determining changes in energy consumption, especially in residential buildings, which remain among the largest energy consumers and polluters. In this context, countries’ efforts to reduce CO₂ emissions and increase energy efficiency are inseparable from the real estate sector’s contribution to these processes, by promoting investments in building modernization and energy-saving technologies. However, the real estate sector remains a complex area where economic interests need to be reconciled with environmental objectives, especially in the context of EU strategies such as the Renovation Wave and the Energy Efficiency Directive. This article examines the links between real estate investment, energy efficiency, and CO₂ emission reduction, based on quantitative analysis, to assess how the development of the real estate sector and EU policy measures affect sustainable development in Northern Europe. This study uses advanced quantitative methods, including a panel regression model, which helps better reveal the long-term dependencies between investment, energy consumption, and emissions dynamics. This article highlights the importance of the real estate sector in implementing sustainability policies and suggests strategic solutions that can help reconcile economic and environmental priorities. Full article

Although food security has been a long-standing focus of research and policy in China, significant gaps remain in synthesizing evolving debates across multiple disciplines such as agriculture, economics, environmental science, and politics. This systematic review provides an interdisciplinary analysis of five key areas shaping contemporary discourses on Chinese food security: (1) balancing self-sufficiency with trade dependence; (2) reconciling agricultural intensification with environmental sustainability; (3) addressing urbanization’s impact on small-scale agriculture transformation; (4) enhancing resilience to climate change through targeted investments and policies; and (5) improving food safety standards to meet growing consumer concerns. This review harnesses insights from global academic databases—including Web of Science, Scopus, and Google Scholar—to map interdisciplinary debates on Chinese food security, synthesizing peer-reviewed studies and policy reports from 2010 to 2024. Drawing upon empirical evidence from recent studies, this review highlights critical tensions, such as those between economic growth priorities and ecological preservation, and explores pathways for sustainable development within China’s unique socio-political context. The findings underscore that robust food security strategies must integrate diverse perspectives while adapting to emerging challenges such as climate change impacts and shifting consumer demands. To ensure sustainable outcomes, future policies should prioritize inclusivity by incorporating insights from ongoing research agendas across disciplines. This review can be used as a benchmark for the advancement of research agendas focused on developing sustainable solutions to the complex challenges of food security in China and beyond. Full article

Achieving the ambitious economic, social, and environmental goals of the UN Sustainable Development Goals (SDGs) requires strategic digital governance improvements that promote long-term and equitable participation in emerging technologies. However, research lacks clear confirmation regarding how governments’ varied policy investments in spheres, like infrastructure expansion, skills programming, and cybersecurity, specifically contribute to holistic sustainable development progress monitored across international benchmarks. Addressing persistent uncertainties, this study statistically modeled if national expenditures directed toward information and communications technology (ICT) access, digital literacy initiatives, and online privacy protections predict higher performances meeting SDGs longitudinally. Analyzing recent country-level data across 27 European nations, structural equation modeling uncovered positive relationships between all three complementary digital governance priority areas and national SDG Index achievement over time. Beyond theoretically validating the instrumental role of availability, capabilities, and security advancements for balanced digitization, findings offer policymakers vital empirical guidance to amplify social returns on ICT investments. The results also demonstrate practical tools to track implementation impacts amidst unrelenting technological shifts. Ultimately, equitably mainstreaming technologies’ vast problem-solving potential necessitates evidence-based digital governance carefully expanding equitable participation. This work aims to equip leaders to purposefully craft enabling, empowering ICT policy ecosystems advancing urgent development aims. Full article

Climate change has emphasized the need for sustainable practices across industries, including insurance. This study explores the management priorities for greenhouse gas (GHG) emissions in the insurance sector, focusing on the perspectives of marketers and brokers. It aims to identify critical emission sources and propose effective strategies for carbon reduction. Using the analytic hierarchy process (AHP) and importance–performance analysis (IPA), this study evaluates the significance and performance of GHG emission sources. Results reveal that both marketers and brokers prioritize indirect emissions, especially those from purchased electricity. However, marketers emphasize investment-related impacts, while brokers focus on emissions during the use phase of sold products. Purchased electricity is a well-managed source, while emissions from sold products require immediate attention. This study concludes that insurance companies should prioritize high-importance underperforming emission sources. Recommendations include improving energy efficiency for purchased electricity, promoting low-carbon practices during product usage, and reallocating resources from lower priority areas like investments and capital goods. By implementing these strategies, insurance companies can align environmental goals with operational priorities, enhance sustainability practices, and reinforce their reputation as socially responsible enterprises. Full article

Background: Scientific collaboration has become a cornerstone of sustainable development, particularly in regions where research capacity and funding face significant challenges. The Andean region, Panama, and Spain offer a unique perspective due to their cultural and linguistic ties, alongside varying levels of scientific production and innovation. These disparities present opportunities for collaboration and targeted interventions to foster regional growth and contribute to global priorities. According to UNESCO, Latin America invests merely 0.56% of its GDP in research and development, underscoring the pressing need for innovative strategies to enhance scientific capacity and align efforts with the United Nations Sustainable Development Goals (SDGs). Methods: This study employed HJ-Biplot and MANOVA-Biplot methodologies to analyze bibliometric data across various thematic areas. These multivariate techniques offer a comprehensive exploration of the interrelationships between scientific production, research talent, and international collaboration, revealing significant patterns and associations. The data were sourced from the Scimago Iberoamerican platform, which aggregates information from Elsevier’s Scopus database on scientific journals and countries. The platform provides data in five-year increments, capturing trends in scientific output, international collaboration, and thematic focus across the Andean region, Panama, and Spain, spanning the period from 2012 to 2022. Results: The analysis identified significant correlations between scientific productivity, research talent, and international partnerships. Clustering disciplines such as engineering, computer science, and energy highlights the strong intersections between technology and economic development. The proximity of psychology and environmental sciences emphasizes the importance of social and environmental factors in scientific research. Conclusion: This study provides a comprehensive bibliometric analysis of the Andean region, Panama, and Spain, identifying critical drivers of scientific productivity and collaboration. The integration of advanced statistical methodologies reveals key associations between research talent, international partnerships, and thematic focus areas. While areas such as environmental sciences and biochemistry demonstrate alignment with innovation and sustainability goals, disciplines like engineering and mathematics require targeted investment to enhance their contributions. These findings underscore the importance of a balanced approach to research funding and policymaking to ensure equitable and impactful scientific development across regions. The results serve as a roadmap for fostering collaboration, strengthening leadership, and aligning research efforts with sustainable development objectives globally. Full article