Search Results (1,998)

China’s rural revitalization strategy demands innovative governance tools to address persistent challenges at the grassroots level. This study investigates how the rural points system contributes to rural revitalization, focusing on Xinqi Village in Ningxia as a case study. Guided by a theoretical framework that links governance dilemmas, institutional mechanisms, and revitalization outcomes, the paper analyzes the system’s formation, operation, and effects. Theoretically, the points system emerges from the interplay of interest-based competition, face-saving mediation, and social empowerment. It operates through a combination of management tools and incentive structures. Empirical findings indicate that the system improves rural revitalization by enhancing ecological livability, promoting civic behavior, and strengthening governance. However, its impact on industrial development and living standards remains limited. Key challenges include unclear institutional goals, poorly designed indicators, and a lack of material incentives. The paper concludes with policy recommendations to refine the system and argues that its application in underdeveloped rural areas offers valuable lessons for wider implementation in China and beyond. Full article

Health equity is shaped by multiple factors intersecting with service delivery in community-based organizations (CBOs). Providers in under-resourced areas are often the first point of contact for families seeking child development, mental health, and behavioral support. However, system-level barriers hinder service delivery and access. This study explores provider perspectives to identify barriers and inform system-level changes that promote equity in child and family health. Using a narrative qualitative design, in-depth interviews were conducted with 21 health and mental health professionals from child- and family-serving CBOs. Guided by ecological and strengths-based frameworks, interviews examined provider insights on challenges, strengths, and supports affecting service delivery. Key themes emerged across macro (rights-based policies, racism/oppression), community (environmental impacts, social cohesion), organizational (secondary stress, system fragmentation, provider supports), and family levels (basic needs, parenting support, service access). Findings highlight the need for a multilevel approach that prioritizes rights-based policies, strengthens community cohesion, and improves system integration. Enhancing CBO capacity to address these determinants could advance equity-oriented service delivery and mitigate structural barriers that perpetuate health disparities. Full article

Social conflict over rangeland-use priorities, especially near protected areas, has long pitted environmental and biodiversity conservation interests against livestock livelihoods. Social–ecological conflict limits management adaptation and creativity while reinforcing social and disciplinary divisions. It can also reduce rancher access to land and negatively affect wildlife conservation. Communities increasingly expect research organizations to address complex social dynamics to improve opportunities for multiple ecosystem service delivery on rangelands. In the Greater Yellowstone Ecosystem (GYE), an area of the western US, long-standing disagreements among actors who argue for the use of the land for livestock and those who prioritize wildlife are limiting conservation and ranching livelihoods. Researchers at the USDA-ARS US Sheep Experiment Station (USSES) along with University and societal partners are responding to these challenges using a collaborative adaptive management (CAM) methodology. The USSES Rangeland Collaboratory is a living laboratory project leveraging the resources of a federal range sheep research ranch operating across sagebrush steppe ecosystems in Clark County, Idaho, and montane/subalpine landscapes in Beaverhead County, Montana. The project places stakeholders, including ranchers, conservation groups, and government land managers, in the decision-making seat for a participatory case study. This involves adaptive management planning related to grazing and livestock–wildlife management decisions for two ranch-scale rangeland management scenarios, one modeled after a traditional range sheep operation and the second, a more intensified operation with no use of summer ranges. We discuss the extent to which the CAM approach creates opportunities for multi-directional learning among participants and evaluate trade-offs among preferred management systems through participatory ranch-scale grazing research. In a complex system where the needs and goals of various actors are misaligned across spatiotemporal, disciplinary, and social–ecological scales, CAM creates a structure and methods to focus on social learning and land management knowledge creation. Full article

Livelihood diversification for traditional villages is essential to reducing poverty, addressing rural hollowing, and achieving the Sustainable Development Goals (SDGs). Shanxi Province—with its wealth of ancient villages, diverse cultural heritage, and unique landscapes—serves as a critical case for analyzing livelihood strategies. This research proposes a framework for livelihood diversification in Shanxi Province’s 619 traditional villages. Firstly, we constructed an indicator system to measure livelihood assets, including ecological stability, economic feasibility, land productivity, cultural inheritance, and social service capacity. Then, the trade-offs and synergies between each pair of assets are explored based on the correlation tests and the Geographically Weighted Regression (GWR) model. Finally, the Self-Organizing Map (SOM) model is employed to cluster the dominant livelihood assets of the sample villages. The results indicated that (1) the current sustainable livelihood levels of traditional villages in Shanxi Province exhibit spatial differentiation and imbalance. (2) The analysis confirms significant synergy between cultural inheritance, social service capacity, and economic feasibility, suggesting that appropriate protection and enhancement of local culture positively correlates with sustainable economic and social development in the villages. (3) Utilizing the SOM clustering model, six distinct types of sustainable livelihood strategies for traditional villages in Shanxi Province were successfully identified. Furthermore, a county-scale “multi-livelihood zoning” strategy has been proposed. The findings of this research can serve as a valuable reference for strategic planning and the implementation of rural revitalization. Full article

This study presents the development of the Comprehensive Index for Beaches (CIB), a holistic tool designed to address the limitations of traditional beach monitoring systems by integrating social and ecological dimensions within a socio-ecological systems (SES) framework. While existing certification schemes predominantly emphasize physical parameters such as water quality and sand cleanliness, they often overlook critical social factors like safety perceptions, overcrowding, and user behavior. This oversight is significant because these social factors play a vital role in shaping visitor satisfaction, supporting community well-being, and ensuring the long-term sustainability of the destination. The CIB addresses this gap, offering a multidimensional approach that includes environmental, infrastructural, social, and safety-related dimensions. Through a multi-stage methodology, the index was developed and validated using Exploratory Factor Analysis (EFA) with data from over 600 beach visitors across key coastal destinations. Results indicate the robustness of the CIB in capturing both natural and social components, underscoring its theoretical alignment with SES principles and its practical potential to enhance beach management. By prioritizing user perceptions and behaviors alongside ecological parameters, the CIB provides an affordable and adaptable alternative to traditional schemes, fostering improved safety, user satisfaction, and sustainability in diverse beach contexts. Full article

In response to the urgent need for the sustainable development of the marine environment, the Chinese government initiated Blue Bay Remediation Action (BBRA) in 2016, piloting efforts in 16 bay cities. Recognizing that these areas function as integrated ecosystems, it is clear that solely addressing issues within the bays will not completely resolve the ecological challenges. Guided by the principles of comprehensive treatment and sustainable development inherent in the BBRA policy, this paper incorporates the ecological indicators of bays and the surrounding sea into a sustainable development framework for 52 bay cities. To identify a balanced approach for the development of the economy, ecology, and society, a three-component evaluation system with 39 indicators is established to assess the sustainable development levels of bay cities from 2015 to 2019 in China. According to the results of the principal component and coupling coordination degree analyses, they indicate that after BBRA, the change in the sustainable development levels of the pilot bay cities is not obvious. Significant disparities exist in the levels of sustainable development among the majority of the pilot cities, with imbalances observed across economic, ecological, and social dimensions. Consequently, in researching the balanced sustainable development of bay cities, it is essential to consider the unique development characteristics of each city during the implementation process of the BBRA. Full article

With the rapid changes in external environments, cognitive adaptability has become crucial for vocational students’ personal growth and career development. However, previous research has predominantly focused on traditional single-level effects, overlooking the multilevel impacts of school climates. Hence, based on social cognitive theory and social–ecological systems theory, this study employs multilevel structural equation modeling (MSEM) to examine the effects of competitive and collaborative environments on vocational students’ competitive attitude, task motivation, and cognitive adaptability at both the student level (Within) and school level (Between). This study utilizes data from the Programme for International Student Assessment (PISA) 2018, analyzing a sample of 814 vocational schools and 20,978 vocational students from 18 countries and regions. Using Mplus 8.10, we applied maximum likelihood estimation with robust standard errors (MLR) to validate the multilevel structural equation model (MSEM) and examine the hierarchical effects of competitive and collaborative environments on vocational students’ competitive attitude, task motivation, and cognitive adaptability. The findings indicate that both competitive attitude and task motivation positively impact cognitive adaptability at both the student and school levels. While competitive environments enhance competitive attitudes at both levels, their effects on task motivation differ, as they are positive at the student level but negative at the school level. Conversely, collaborative environments positively influence task motivation at both levels but only affect competitive attitudes at the student level. A comparison between multilevel and single-level models suggests that multilevel modeling better captures the hierarchical effects within school environments. The results highlight that moderate competition at the student level fosters motivation and adaptability, whereas highly competitive school environments may suppress motivation. In contrast, fostering a collaborative school climate enhances task motivation and cognitive adaptability. These findings underscore the importance of balancing competition and collaboration in vocational education to support students’ holistic development. Full article

Urban agglomeration ecosystems are impacted by human activities and natural disasters, so analyzing the spatial and temporal evolution of landscape ecological resilience from the perspective of adaptive cycling is crucial. Using the Changsha–Zhuzhou–Xiangtan urban agglomeration in China as a case study, this research constructs a “Risk-Potential-Connectivity” framework to evaluate ecological resilience. This framework applies exploratory spatial data analysis methods to examine the spatiotemporal evolution and associated patterns of resilience and the Geodetector model to measure the driving factors of spatial variation. This study constructs an adaptive cycle model based on ecological resilience analysis, integrating potential and connectivity indices to classify the development stages of urban agglomeration regions dynamically. The results showed that the overall spatial distribution pattern of ecological risk decreased from the center outward, whereas ecological potential and connectivity increased. The average resilience index from 2000 to 2020 was 0.31, with a declining trend and shifting center of gravity from northwest to southeast. The spatial and temporal distribution of toughness exhibited high and low aggregation, with an overall Moran index greater than 0.75. Land-use intensity had the strongest explanatory power (q = 0.3662) for the spatial differentiation of landscape ecological resilience drivers and the joint effects of factor interaction had a higher explanatory power than single factors. Adaptive cycle analysis revealed that Furong District is in the protection stage, Xiangtan County in the development stage, and Liling City in the reorganization stage, with no region yet in the release stage. The findings offer a better understanding of the interactive adaptation characteristics and evolutionary patterns of social-ecological systems over extended periods, providing scientific support for the formulation of protection strategies to respond to dynamic changes in urban agglomeration ecosystems. Full article

Background/Objectives: Sport persistence, defined as an athlete’s behavioural commitment to sport, is influenced by various psychological, social, and environmental factors. This study examines sport persistence using an ecological framework, incorporating Bronfenbrenner’s socio-ecological model and Bauman’s multi-level physical activity model. It aims to identify the key determinants of sport persistence among Hungarian athletes and differentiate the influencing factors for competitive and recreational athletes. Methods: The study analysed data from 1105 Hungarian (518 male, 557 female) secondary (n = 478) and university (n = 626) students who pursued competitive (n = 533) or recreational (n = 572) sports. A structured questionnaire assessed socio-demographic factors, sport-specific variables, psychological characteristics, and environmental influences. Statistical analyses were applied to identify predictors of sport persistence. Results: For competitive athletes, persistence was most strongly predicted by goal orientation (β = 0.322; p < 0.001), win orientation (β = 0.156; p = 0.001), resilience (β = 0.161; p < 0.001), and training frequency (β = 0.122; p = 0.017). In contrast, recreational athletes’ persistence was linked to task orientation (β = 0.092; p = 0.013), well-being (β = 0.092; p = 0.008), and social support (β = 0.084; p = 0.006). The father’s employment status had a positive effect on persistence, while broader socio-demographic factors were more relevant for recreational athletes. The role of micro-, exo-, and macro-system factors, such as peer or teacher support and sport infrastructure, was found to be limited in influencing persistence levels. Conclusions: Sport persistence is primarily driven by individual psychological factors rather than broader ecological influences. Competitive athletes show persistence through performance-oriented traits, while recreational athletes rely more on well-being and motivation. These findings suggest that tailored interventions could enhance sport persistence and performance. Full article

Rural modernization constitutes a crucial aspect in the modernization of socialism with Chinese characteristics. This paper assesses the level of rural modernization in China and investigates its spatiotemporal evolution characteristics and restrictive factors through a spatial autocorrelation analysis and the obstacle degree model. The research indicates that: (1) The overall rural modernization has escalated, with infrastructure and public services advancing at the fastest pace, while the modernization of the ecological environment and governance system lags relatively behind. The majority of provinces exhibit distinct internal imbalances and classified development traits, mainly categorized as the ecological priority type and economic priority type. (2) The eastern coastal areas and the southwest region have witnessed rapid development due to their well-established infrastructure and agglomeration of innovative elements; the northwest and northeast regions have developed slowly, influenced by geographical conditions and industrial structure. Regions exhibit the characteristics of both high and low agglomeration in multiple dimensions. (3) The modernization of governance systems and the ecological environment serve as the primary constraints, manifested as a low percentage of administrative villages, insufficient planning, excessive use of pesticides and fertilizers, and a low greening rate. Hence, it is necessary to address the shortcomings, optimize the spatial layout, and strengthen grassroots governance capacities to promote the coordinated advancement of rural modernization. Full article

The vulnerability of Social–Ecological Systems (SES) is a frontier research topic in the field of geography. Research on drought vulnerability has emerged as a key area of focus in the study of SES vulnerability, and it has increasingly been recognized as a critical step in formulating policies for drought prevention and mitigation. In this study, the indicator system for drought vulnerability evaluation of SES in the Three-River Headwaters Region (TRHR) was established. This paper revealed the drought vulnerability evolution process and characteristics, and key driving indicators of SES at county-town-village spatial scales in six time periods of 1990, 2000, 2010, 2015, 2020, and 2023, and predicted the drought vulnerability of SES in 2050 under two scenarios. Results indicate that the average drought vulnerability in the TRHR decreased from 0.526 in 1990 to 0.444 in 2023. Compared to 1990, among the 82 selected towns, 85.37% experienced a decline in 2023, and among the 152 selected villages, 95.39% showed a reduction in 2023. Hot spots of drought vulnerability were concentrated in the southeast of the TRHR, while cold spots were in the northwest. From 1990 to 2000, the drought vulnerability of counties and towns in the TRHR increased, but it decreased between 2000 and 2023. In 1990, Henan County exhibited the highest drought vulnerability at the county level. Waeryi Town in Jiuzhi County had the highest vulnerability among towns, while Suojia Town in Zhidoi County had the lowest. Of the 152 selected villages, 41.45% exhibited relatively high or high levels of drought vulnerability, while 23.68% showed relatively low levels. In 2023, Jiuzhi County became the most vulnerable county, with Baiyu Town in Jiuzhi County ranking highest among towns and Suojia Town in Zhidoi County remaining the least vulnerable. At the village level, 22.37% exhibited relatively high or high vulnerability, whereas 42.11% showed relatively low or low levels. Drought disaster records, the proportion of agricultural and animal husbandry output value, the proportion of grassland, the proportion of large livestock, and the per capita disposable income surface are the key factors influencing drought vulnerability in the TRHR. By 2050, under the first scenario, the average drought vulnerability of the TRHR is projected to be 0.428, indicating a medium level, while the second scenario predicts a further reduction to 0.350, representing a relatively low level. The adaptive governance strategies to mitigate drought vulnerability in the TRHR include developing an integrated drought management system; establishing an ecological management, protection, and financial support model; and so on. Overall, this paper can provide scientific references and policy recommendations for policymakers and researchers on the aspects of drought vulnerability and sustainable development of SES. Full article

Intensive anthropogenic disturbances have driven significant spatial disparities and progressive fragmentation of forest-based green infrastructure (GI) that delivers vital ecosystem services across river basins. To address these challenges, delineating ecological management zones and developing spatially targeted GI optimization measures are imperative for safeguarding regional ecological security and advancing nature-based solutions in coupled human–water–forest systems. Focused on the mainstream area of the Jialing River Basin, we establish an ecological optimization zoning system that reconciles forest ecosystem resilience with regional development equity. By using morphological spatial pattern analysis, landscape pattern analysis and the In-VEST model, the GI supply capacity was assessed from three dimensions: element composition, structural configuration, and ecosystem services. The demand intensity was evaluated based on environmental governance pressure, urban expansion demand and social development needs across counties. Supply–demand matching was analyzed using quadrant-based mismatch typology and coupling coordination degree model. The results reveal that the following: (1) supply-deficit counties are predominantly located in the middle and lower reaches of the basin, characterized by high urbanization and economic development; (2) supply-surplus and high-level balanced counties cluster in the ecologically conserved upper reaches; (3) low-level balanced counties are concentrated in agricultural zones; (4) the overall coordination degree of supply and demand show a preliminary state of coordination. Based on these findings, the basin was classified into five zones at the county level: GI restoration, management, rehabilitation, enhancement, and conservation. Tailored ecological management measures and policies were formulated for each zone to advance sustainable basin development. Full article

This study aims to identify areas of opportunity for improvement across selected U.S. water utilities through evaluating system operational performance and productivity and the relationship to water losses. Throughout the water utility industry, there is a need to optimize utility performance as the demand for usable and potable water continues to be a global concern. An analysis of partial productivity and total operating productivity using American Water Works Association (AWWA) data highlights potential areas to improve total water output, minimizing water loss. Productivity relative to water output and losses are also presented showing states and utility sizes with high optimal output based on performance and cost measures. Examined are the management of water operation in California and Georgia water utilities, highlighting the inadequacies and opportunities through an analysis of productivity measurement when compared to water loss. A review of existing literature and data from various sources reveals that both states face substantial challenges in addressing water leakage, despite efforts to mitigate the issue. Research results are presented, showing comparison characteristics and possible future opportunities for improvements. Full article

Urban-rural imbalance impedes sustainable development in modernizing nations. This paper examines China’s urban-rural relations via symbiosis theory, building a model and index system to assess urban-rural symbiosis, contributing to SDG 11 (Sustainable Cities and Communities) and SDG 10 (Reduced Inequalities). Focusing on 31 provinces and cities in China, this study uses data from 2022 and the entropy weight method to evaluate the current urban-rural symbiosis relationship in China. Findings highlight unsustainable urban-rural relations: Firstly, imbalances persist between urban and rural areas in China regarding resource allocation, public services, and development speed, hindering sustainable and equitable development. Secondly, spatial differentiation and insufficient flow of factors significantly restrict the development of urban-rural symbiosis, impacting resource efficiency and balanced regional growth. Thirdly, the levels of cultural and ecological symbiosis between urban and rural areas are low and uneven, posing risks to environmental sustainability and social cohesion. Recommendations include strengthening rural units for collaboration, using counties to improve the symbiosis interface, and optimizing the symbiotic environment. These measures aim to guide, incentivize, coordinate, and protect positive urban-rural relations, driving symbiosis towards a more balanced, inclusive, sustainable urban-rural development model for China, offering insights for similar nations. Full article

To achieve the transition to sustainable energy and mobility systems, we are relying heavily on critical metals. The sustainable extraction, use, and circulation of these materials is not straightforward as contestation over the social and ecological sustainability of these metals is characterised by so-called hype cycles of increased and decreased legitimacy. This impedes the energy and mobility transition. We propose and apply a novel approach using event graphs to assess critical metal systems as evolving socio-material systems, comparing three longitudinal cases (lithium, cobalt, tantalum). Our analysis leads to an ideal type hype cycle for critical metal systems. Our findings evidence the necessity for policymakers and industry practitioners to use approaches such as responsible innovation to ensure that the extraction, use, and circulation of critical metals does not undermine the transition to sustainable mobility and energy systems. Full article