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Examined the synergistic development and spatio-temporal evolution of China’s multi-level medical insurance system (MMIS) on a macroscopic level. We assess the comprehensive development of the MMIS across China’s 31 provinces from 2011 to 2020 by constructing a comprehensive indicators evaluation model. Subsequently, a coupling coordination index (CCI) model is employed to provide precise insights into the coupling coordination effects among various medical insurance schemes comprising MMIS. Lastly, spatial autocorrelation analysis is conducted to evaluate both the global and local spatio-temporal evolutionary characteristics of MMIS. The CCI of MMIS at the national average level exhibited a fluctuating upward trend, progressing from the moderate disorder recession degree (0.287) in 2011 to the well-coordinated degree (0.887) in 2020. However, the majority of provinces (83.87%) still lingered within the realm of barely coordinated degree ([0.500–0.600]). Specifically, the CCI within the eastern coastal region surpassed that of the western and central regions, with the central region showing the most pronounced increase in CCI. Over the past decade, MMIS demonstrated significant spatial agglomeration, as evidenced by the global Moran’s I ranging from [0.1668–0.3037]. Furthermore, findings from local spatial autocorrelation analysis suggest a gradual attenuation in the spatial clustering disparity of CCI across various provinces. Government ought to focus on the spatio-temporal evolution patterns of MMIS, and strengthen cooperation between the government and market in health governance, while utilizing information technology and data sharing to improve the overall quality of medical insurance benefits.

Transit-oriented development (TOD) is increasingly recognized as a key strategy for enhancing transportation efficiency, environmental sustainability, and economic vitality while fostering inclusive communities in dense, multifunctional urban areas. However, the relationship between TOD's economic benefits and social equity remains underexplored. This study critically evaluates TOD in Dalian, China, introducing the expanded Node-Place-Economy (NPE) model, which integrates economic and social dimensions into the traditional Node-Place model. The NPE model offers a comprehensive framework for assessing TOD effectiveness, particularly in balancing economic growth and equitable resource distribution. The research highlights significant disparities between central and peripheral regions, with central areas performing better in both economic and social equity, while peripheral areas exacerbate socio-economic inequalities. Through spatial analysis and the Coupling Coordination Index (CCI), the study identifies factors influencing the synergy between economic vitality and social equity, such as the density of commercial, sports, and entertainment facilities. The findings emphasize the need for more equitable TOD planning, suggesting that future urban developments should prioritize social inclusiveness alongside economic efficiency. This research expands the theoretical foundation of TOD and offers practical insights for urban planners aiming to achieve sustainable and inclusive urban development.

Urban green spaces (UGSs) deliver vital ecological and social benefits, and their integrated management significantly contributes to ecological sustainability and public well-being. However, existing studies tend to separately examine ecological and social values of various UGS types, lacking comprehensive assessments of their interactions. In response, this study established an integrated biotope classification system based on vegetation structure and conducted extensive field surveys to map urban biotopes in Xi’an city. Ecological values were evaluated through twelve selected indicators, including biodiversity, air quality regulation, and carbon storage. Social values were assessed using the SolVES model across six dimensions: aesthetics, recreation, cultural , spiritual, biodiversity, and therapeutics. The coupling coordination degree (CCD) between ecological and social values was subsequently calculated, and key influencing factors were analyzed via Geodetector. The results reveal that: (1) Xi’an encompasses 28 distinct biotope types, with green spaces occupying the largest area (2.89 km 2 ; 79.97%) and blue spaces the smallest (0.32 km 2 ; 8.72%). (2) The CCD between ecological and social values is on the verge of disorder (0.467), indicating a critical need for improved coordination. (3) Open green spaces with herbaceous vegetation (G O He) exhibit the highest CCD. Conversely, closed one-layer broad-leaved forests primarily covered by hardscape (G C Ha B L-1) and closed multi-layer broad-leaved forests primarily covered by hardscape (G C Ha B L-2) present the lowest coordination levels. (4) Ecological characteristics significantly influence CCD, highlighting the importance of detailed biotope classification. The results emphasize that enhancing spatial configurations and optimizing functional arrangements within UGSs are essential strategies for improving eco-social synergies and coupling coordination. This study provides valuable insights and practical recommendations for targeted urban planning and sustainable development of urban green infrastructure in Xi’an and similar rapidly urbanizing regions.

Water, energy and food are three essential resources for the socio-economic system, and they are interlinked. The coordination of their internal relations is worth studying. We conduct a coordination evaluation method to assess the water-energy-food nexus (WEF Nexus) in China’s provinces. By combining the coupling model and the coupling coordination model, we measure the comprehensive evaluation index and coupling coordination degree of China’s 30 provinces from 2005 to 2017. First, the results show the provincial comprehensive evaluation index had a slow upward trend. The comprehensive evaluation index of the southern region was higher than that of the north, and the eastern was higher than the west. Second, the coordination degree of WEF Nexus in China’s 30 provinces has reached high level in the horizontal coupling stage, and the overall degree of coupling coordination was on the rise. In 2017, the WEF Nexus coupling coordination degree of most provinces reached 0.700 or more, which was intermediate-coordinated. In the six years, the 30 provinces have experienced five types of coupling coordination degree: near coordinated, barely coordinated, primary coordinated, intermediate-coordinated, and well-coordinated.

The Yellow River basin (YRB) is China’s most critical energy consumption and coal production area. The improvement of carbon emission reduction efficiency in this area is the key for the Chinese government to achieve the 2030 carbon peak and 2060 carbon neutral (“30.60”). Given this, this study first calculates the carbon emission efficiency of YRB from 2005 to 2019 based on the slack-based measured directional distance function (SBM-DDF) model and combined with Malmquist–Luenberger (ML) index and decomposes the carbon emission efficiency of each province. Then, a panel Tobit model with random effect is constructed to measure the influencing factors and their influence degree of carbon emission efficiency of YRB. Finally, the main influencing factors are selected, and policy suggestions on how to improve the carbon emission efficiency of each province are put forward with the help of the coupling coordination degree (CCD) model. The results show that first, the carbon emission efficiency of each province is significantly different, but it shows a fluctuating upward trend on the whole. Second, the reasons for the rise or decline of the ML index in different provinces are different. Therefore, the development strategies of different provinces should be formulated from the perspective of accelerating technological progress and improving technical efficiency. Finally, the calculation results of influencing factors and coupling coordination degrees show that provinces with high coupling coordination degrees should focus on developing per capita power consumption and controlling per capita power consumption to consolidate the actual urbanization process and industrial structure adjustment. Provinces with low coupling coordination degrees should focus on maintaining the urbanization process and increasing the development of the tertiary industry. Therefore, to fundamentally reduce carbon emissions in YRB areas, we need to consider implementing differentiated emission reduction schemes based on national strategic objectives and in combination with the development characteristics of various provinces.

In recent years, environmental damage caused by economic development has been increasing in China’s Yellow River basin (YRB), one of the country’s most important economic zones. Finding an appropriate governance model is a prerequisite to ensuring the coordinated development of the YRB. Traditional analysis focus on city or province level, which is less accurate and ignores the interaction between spaces. This paper explores the distribution, spatial relationships and influencing factors of the level of coordinated development at county level in the YRB and its impact on the study area’s environment. This investigation aims to provide scientific support for the region's governance. We used the equivalent value method, the entropy method, a coupling coordinating degree model and the double-fixed spatial Durbin model to quantify, spatialize and assess the relationship between the value of ecosystem services and economic development and to analyze the drivers of ecological changes and the spatial interaction effects in the YRB from 2010 to 2020. The results show that (1) The degree of ecological-economic coupling coordination in the YRB steadily increased over the study period and is high in eastern areas but low in the western area. The growth rate is fast in the east and slow in the west and the gap has gradually enlarged. (2) Adjusting the industrial ratios alone cannot improve the level of local coordinated development. The intensity of government public expenditure support can significantly affect the coordinated development level of local, and the intensity of the impact on the neighboring areas depends on the difficulty of intercommunication between areas. (3) Increasing rural disposable income in mountainous areas can effectively increase the level of local coupling coordination but can also lead to a decrease in coupling coordination in the surrounding areas. (4) The influence of the normalized difference vegetation index on coupling coordination depends on local land values.

The concept of sustainable economic development as the core promotes socio-economic progress and rapid economic development. Nevertheless, in the new era of China, the contradiction between socio-economic development and environmental sustainability is still prominent. In order to deal with the coordinated development relationship among regional economy, energy, and environment, this paper constructs an energy-economy-environment (3E) index system from the perspective of green development and ecological integrity. On this basis, the distance-based coupling coordinated degree (CCD) model and dynamically comprehensive coordination degree model were used to evaluate the coupling coordinated development levels of 11 provinces (cities) along the Yangtze River Economic Belt (YREB) from 2008 to 2017. Then, a spatial econometric model was used to explore the spatial effects of the regional 3E system of the YREB. The results indicated that (1) the overall coordination of the 3E system in the provinces (cities) along the YREB shows an increasing trend. However, change paths varied with the provinces (cities) due to the influence of regional policies; (2) the CCD of the 3E system in the YREB differed spatially significantly, showing a stepped distribution of “high in the east and low in the west”; (3) the 3E system in the YREB had a positive spatial correlation and showed the characteristics of aggregation, with Jiangsu and Zhejiang provinces mainly showing “high-high” agglomeration and Sichuan showing “high-low” aggregation, while the rest of the provinces had the characteristics of random distribution in terms of spatial effects. The research process and results show that combining the ecological civilization concept and the CCD model can provide the vision and indicators for evaluating and researching the regional 3E system.

Scientific evaluation of urban resilience will help to improve the ability of self-prevention and self-recovery when facing internal and external pressure. However, existing studies are on basis of the overall perspective of the urban resilience evaluation index system to measure urban resilience, often ignoring the coupling and coordination degree among indicators. Therefore, an empirical analysis is developed, which is used to measure the urban resilience of eight cities in the Yangtze River Delta urban agglomeration from 2010 to 2019 from the perspective of coupling coordination degree based on the urban resilience evaluation index system. The empirical results show that (1) In time, the eight cities' resilience fluctuated dynamically and varied to different degrees. It presents the spatial distribution characteristics of \"high in the center and low in the periphery\" in space. (2) In time, the coupling coordination degree in the eight cities fluctuated slightly. The spatial distribution pattern of \"high in the center and low in the periphery\" was formed in terms of space. (3) There is a long-term stable relationship between urban resilience and the coupling coordination degree among all indicators. In a certain sense, the higher the coupling coordination degree is, the higher the urban resilience is. These results can improve urban resilience to some extent and make cities more resilient in the future collaborative development process, and provide a way to evaluate urban resilience at different spatial-temporal scales.

The integrated development of agriculture and tourism is one of the important ways to promote the revitalization of rural industries. This paper measures the coupling and coordination level of agricultural and tourism development in Shanyang County, Qinba Mountain area, for the period of 2011–2020, by constructing an index system and a coupling coordination model. The study reveals the following findings: (1) From 2011 to 2020, the evaluation index of agriculture development in Shanyang County exhibited significant fluctuations, with an overall downward trend. In contrast, the evaluation index of tourism development experienced rapid growth and surpassed agriculture from 2018 onwards. (2) There is a significant coupling relationship between the agricultural and tourism industry systems in Shanyang County. The coupling coordination has slowly increased, undergoing an evolution from being nearly uncoordinated to weak coordination and to reaching a primary level of coordination. Therefore, Shanyang County should attach importance to the fundamental role of agriculture in the coordinated development of agricultural tourism, seek joint regional development, and benefit the whole people.

China is striving to build a new dual-circulation development pattern with the aim of leading the coupling of science, technology, and innovation through the active role of financial factors, ultimately promoting the country’s optimal economic development. As a result, this paper constructs a coupled dual-circulation-STI (scientific and technological innovation) relationship model. The domestic and foreign components of the input–output relationship are used to portray the extent of the dual circulation, combined with Index DEA to measure the quality of science and technology innovation under the role of financial factors and the coupled coordination model to analyze the intrinsic correlation between the two. The study used an Index-DEA and value chain analysis model to measure each industry’s technological effectiveness and the degree of internal and external circulation, respectively. The coupled coordination model approach was used to measure the coordination relationship between the double-loop model and technological innovation. Based on the coordination assessment table, the degree of coupling and the natural state of science and technology innovation and dual cycle in each industry were assessed. The study found that the country’s dual-circulation pattern gradually strengthened from 2015–2019, with the financial element also driving an increase in STI. However, due to the twists and turns of the external environment, the coupling power of the dual-circulation STI weakened in some years. On this basis, the paper concludes that the quality of STI, driven by financial factors, has been increasing year on year, and the coupling with dual circulation has been trending upwards. Regarding policy implications, developing countries such as China should continue to invest more financially to create a healthy and sustainable innovation model. Through the innovation-dual-circulation development model, the country should eliminate the sloppy development model in construction and use the power of science and technology to lead social progress.