Degree Of Coordination Research Articles

Decoupling Characteristics between Coupling Coordination Degree of Production-Living-Ecological Function and Carbon Emissions in the Urban Agglomeration of the Shandong Peninsula

Under the dual carbon goals, the relationship between land production-living-ecological function and carbon emissions points to a new direction for land spatial planning. This study compiles and analyzes carbon emissions and the production-living-ecological function coupling coordination degree of 16 cities in the Shandong Peninsula urban agglomeration for the years 2001, 2006, 2011, 2016, and 2021. Furthermore, it introduces the Tapio decoupling model to calculate the decoupling index between carbon emissions and the coupling coordination degree. The spatiotemporal evolution characteristics of production-living-ecological function coupling coordination, carbon emissions, and the decoupling index were analyzed. The results indicate that (1) from 2001 to 2021, the production-living-ecological function coupling coordination degree in Shandong Peninsula urban agglomeration increased overall, with an obvious “high in the east and low in the west” feature in the spatial pattern. That is caused by the difference in resource endowment between the east and the west and the gap in the process of urbanization, industrial structure transformation, and ecological governance. (2) During the study period, overall carbon emissions increased, with a significantly reduced growth rate. A polarization phenomenon of increase and decrease trends within the urban agglomeration was observed. The spatial distribution characteristics of land use carbon emissions showed significant production-living-ecological coupling coordination degree heterotropism. (3) From 2001 to 2021, the decoupling relationship between production-living-ecological coupling coordination degree and carbon emissions mainly exhibited three patterns: strong negative decoupling, expansion negative decoupling, and strong decoupling, maintaining a good decoupling trend overall. These results indicate that the coordinated development level of production, living, and ecological functions in the study area has improved during the research period, and its decoupling relationship with carbon emissions has also shown a positive trend. However, there is still a problem of uneven regional development. In the future, the production-living-ecological development of Shandong Peninsula urban agglomeration should adhere to the development pattern of “two circles and four regions”, which aims to promote resource sharing and complementary advantages through specific regional divisions, and achieve coordinated development within the region. This involves optimizing land use structure and function, encouraging innovation and development of green industries, and deepening ecological environment restoration and protection to realize the coordinated development of the production-living-ecological function of land use under the dual carbon goal.

Coupled Climate–Environment–Society–Ecosystem Resilience Coordination Analytical Study—A Case Study of Zhejiang Province

The aim of this paper is to evaluate the coupled coordination degree of climate, environmental, socio-economic, and ecosystem resilience in Zhejiang Province from 2010 to 2022 and to propose optimization strategies. With the increasing impact of global climate change, the need to explore the construction of resilient cities and sustainable development models has become increasingly pressing. Assessing the coupled coordination among climate, environment, socio-economic, and ecosystem resilience aids in suggesting more precise and effective social and ecological recovery strategies in the context of climate change. Zhejiang Province, serving as a model for China’s urbanization development, demonstrates a balance between the natural environment, economic growth, and social development but still suffers from ecological and environmental pollution problems. In this study, an evaluation system was constructed utilizing the entropy weight method (EWM), and the coupled coordination among climate, environmental, socio-economic, and ecosystem resilience in Zhejiang Province was empirically analyzed over the period from 2010 to 2022. The results show that (1) the climatic-environmental, socio-economic, and ecological subsystems of cities in Zhejiang Province generally show an upward trend, despite fluctuations over different periods. (2) The climatic-environmental-social-ecological system resilience of the cities in Zhejiang Province increased as a whole, and six cities (Hangzhou: 0.805, Quzhou: 0.811, Huzhou: 0.827, Taizhou: 0.829, Wenzhou: 0.856, and Jinhua: 0.857) reached the “well-coordinated” level by 2022; however, the coupling coordination of Jiaxing City and Lishui City decreased from good to intermediate coordination. (3) The coupled coordination degree of climatic-environmental-social-ecological system resilience generally stagnated in each city during 2020–2022. Thus, the climate change adaptation strategy proposed in this study aims to enhance urban adaptive capacity to climate change impacts by controlling pollutant emissions, restoring ecosystems, optimizing industrial structures, and designing urban green spaces.

Assessing the Trade-off between Ecological Conservation and Local Development in Wuyishan National Park: A Production–Living–Ecological Space Perspective

China’s national park establishment aims to achieve a balance between ecological conservation and regional development. This study adopts a production–living–ecological (PLE) space perspective to evaluate the park’s impact. By quantifying changes and employing a combination of geographic detector and coupling coordination degree analyses, this research explores the dynamics of habitat quality and PLE space within the Wuyishan region, alongside their interrelationships. The national park’s influence on the surrounding area exhibits spatial heterogeneity, evident both within and beyond park boundaries, as well as across different counties. Despite the concentration of PLE changes in the park’s vicinity, particularly in densely populated urban areas, the influence of the national park on the local area is random and primarily at a low level. Importantly, the ecological space exhibits substantial changes, mirroring improvements in habitat quality. Furthermore, the coupling coordination between habitat quality changes and PLE space changes exhibits remarkable spatial variations. The complex interrelationships among PLE space necessitate a coordinated approach to their development for effective national park management. Ultimately, this investigation provides a novel perspective for the assessment of Wuyishan National Park’s conservation effectiveness, contributing practical value for future endeavors.

Spatiotemporal Evolution and Coupling Analysis of Human Footprints and Habitat Quality: Evidence of 21 Consecutive Years in China

Assessing the spatiotemporal evolution characteristics of habitat quality, human footprint, and coupling coordination between two systems in continuous cycles and on national scales is of great significance to maintaining biodiversity and sustainable development. This study took China as an example, based on land-use data from 2000 to 2020, using the Integrated Valuation of Ecosystem Services and Tradeoffs—Habitat Quality (InVEST-HQ) model and the human footprint framework, coupling trend analysis methods such as Theil–Sen Median Analysis, Mann–Kendall Test, and Grid Transition Matrix (GTM) Method and combining the four-quadrant model and the coupling coordination degree model (CCDM) to reveal the spatiotemporal evolution characteristics of habitat quality, human footprint, and CCDM in China for 21 consecutive years and the response relationship between the two systems of habitat quality and human footprint. The results show that the land cover change area from 2000 to 2020 accounted for 4.2% of the total area. Both habitat quality and human footprints exhibit apparent spatial heterogeneity along the “Hu Line” and generally fall into two evolutionary stages: “degradation–improvement”. The proportions of degradation and improvement were 14.37% and 8.36%, respectively, and the mutation point was in the year 2013; the average human footprint increased by 16.75%, and the increased and decreased area proportions were 63.40% and 21.53%, respectively. The mutation occurred in 2014. The right side of the “Hu Line” primarily hosts areas with high values of the coordinated coupling index of human footprints and habitat quality systems. The four quadrants generally have the following characteristics: “quadrant IV on the right is dominant, quadrants II and III on the left are dominant, and quadrant I is located in the transition zone of the ‘Hu Line’”. The coupling coordination degree (CCD) and human footprints have a weak, nonlinear “inverted U-shaped” relationship. This study provides compelling evidence for the spatiotemporal evolution and coupling relationship between habitat quality and human footprint in China, provides scientific decision-making support for biodiversity protection and sustainable economic development, and maintains the bottom line of ecological security for a beautiful China.

Targeted poverty alleviation promotes sustainable socio-economic and ecological development in China's poor areas

Ending extreme poverty and achieving sustainable development by 2030 poses a significant challenge for developing countries. In the past decade, China has pioneered the Targeted Poverty Alleviation (TPA) strategy and implemented a range of anti-poverty programs, aiming to reconcile poverty reduction with environmental restoration. However, the effectiveness of the TPA strategy in facilitating sustainable development in the poor areas of China (PAC) remains unclear. Drawing on a perspective of systems, this study compiles a panel dataset of 832 nationally designated poverty-stricken counties in China from 2013 to 2020 and employ the coupling coordination degree model to examine the coupling and coordination relationships among economic, social, and environmental systems in the PAC. We find that during the TPA period, the socioeconomic level developed rapidly, while the environmental quality was slightly improved in the PAC. The TPA strategy promotes the coordinated development of social, economic, and ecological systems in the PAC, shifting the relationship between human and environment from imbalance to coordination. Our findings underscore the necessity for the Chinese government to persist in its environmental restoration efforts in the PAC to guarantee a sustained development progress.

Study on the multifunctional spatial-temporal evolution and coupling coordination of cultivated land: A case study of Hebei Province, China.

The rational use of cultivated land can guarantee food security and thus is highly important for ensuring social stability, economic development and national security. The current study investigated the multifunctional temporal and spatial variation characteristics of cultivated land and explored the spatial and temporal characteristics of the multifunction and coupling coordination degrees of cultivated land throughout Hebei Province. Based on the administrative division data, statistical yearbook data and land use status data of the impacted areas, a multifunctional evaluation index system of cultivated land was established. The CRITIC weight method and entropy weight method were used to determine the weight of the index, the comprehensive index model was used to determine the production, social security, ecology and landscape functions of cultivated land of Hebei Province in different periods, the coupling coordination model was used to explore the multifunctional coupling coordination degree of cultivated land in each county, and spatial autocorrelation analysis was performed to determine the correlation of the multifunctional coupling coordination degrees. From 2000 to 2020, the production, social security and landscape function of cultivated land in Hebei Province trended upward; the ecological function trended slightly downward. The multifunctional coupling coordination degree of cultivated land in Hebei Province trended significantly upward and changed from limited coordination to intermediate coordination. Furthermore, it exhibited strong agglomeration and a significant positive spatial correlation, forming a 'V'-type change rule of first decreasing and then increasing. Hebei Province exhibited remarkable spatial and temporal characteristics of the multifunction and coupling coordination degrees of cultivated land. Regions could thus customize different cultivated land functions to maximize the benefits of cultivated land use. The findings of this study may provide a scientific basis and theoretical support for sustainably using and managing cultivated land resources in areas with similar human geographical environments.

Developing integrated person-centered care quality indicators for home health agencies in Shanghai, China: A modified Delphi-analytic hierarchy process study

ObjectivesTo develop person-centered integrated care quality indicators for home health agencies in Shanghai, China. DesignThe study combined the Delphi method and the analytic hierarchy process (AHP). Material and methodsThe Delphi consultation questionnaire was distributed to experts in home healthcare in Shanghai, China. A panel of experts with experience in home healthcare in Shanghai, China, was selected. Purposive sampling was used to choose experts. In this study, ten experts were selected from within sub-fields of home healthcare, including nursing, health policy, quality improvement, person-centered care (PCC), and integrated care. ResultsThe authority coefficient (Cr) in this study was 0.835. The coordination degree of experts’ opinions, which is expressed by Kendall coordination coefficient W (a higher value, better coordination of the item), ranged from 0.352 to 0.386 (p < 0.001). The consistency ratio (CR) values for each level were less than 0.1. The quality indicator system included three first-level indicators, 15 second-level indicators, and 56 third-level indicators. ConclusionsA person-centered integrated care quality indicator system was developed for home health agencies. The findings from this study enable nurses, managers, and policymakers in home and community-based settings to evaluate person-centered integrated care quality using a robust framework. In addition, these indicators can also be used as a standardized tool to guide the development of long-term care services and supports (LTSS) for home-bound elderly.

The Impact of the Digital Economy on Carbon Emission Levels and Its Coupling Relationships: Empirical Evidence from China

The development of the digital economy has injected new vitality into the global economy, but the environmental issues it raises cannot be ignored. This paper analyzes the impact of the digital economy on carbon emission levels and their coupling relationships using panel data from 30 provinces, cities, and autonomous regions in mainland China from 2013 to 2021. By employing the coupling coordination degree model and the PVAR model, the study finds that the digital economy in mainland China has shown an upward trend, while carbon emission levels have exhibited a downward trend. The coupling degree between the digital economy and carbon emission levels is relatively good, though the coupling coordination degree is still in its early stages, indicating significant room for development. The digital economy has achieved a positive cumulative effect and can promote itself, and it has a significant negative impact on carbon emission levels.

Five worlds of social reproduction after the new millennium: placing transitional China in a three-dimensional model of social reproduction

Since the late 2000s, China has accelerated reconstruction of the welfare state against the backdrop of the second transition. Following a typological approach, this study proposes an analytical framework for assessing varieties of social reproduction before delving into a comparative look at China’s national institutional framework, in which China is regarded as a transitional economy and a late bloomer. As represented in three dimensions, countries have production regimes that diverge in the degree of coordination, welfare regimes that differ in the degree of decommodification, and labor reproduction regimes that vary in the degree of depatriarchalization. We investigate the convergence and divergence of advanced economies, transitional economies, and the emerging economies of East Asian countries. Hierarchical cluster analysis and a three-dimensional map illustrate the varieties of regimes at the intersections of production, welfare, and reproduction. With the help of institutional complementarities, five worlds of social reproduction are distinguished: the late blooming, the liberal, the catch-up/transitional, the conservative, and the social democratic. China’s production regime converges with that of continental Europe and Post-Socialist societies based on institutional arrangements of nonmarket coordination; however, limited income maintenance and redistribution policies, the absence of family-friendly policies, and the regendering of the division of labor make China’s institutional mix appear more compatible with East Asian societies than Western ones. The institutional complementarities between the welfare and labor reproduction regimes reveal a social reproduction scenario that is less than purely late blooming.

Identifying the Coupling Coordination Relationship between Urbanization and Ecosystem Services Supply–Demand and Its Driving Forces: Case Study in Shaanxi Province, China

Exploring the relationship and driving forces between supply–demand of ecosystem services (ESs) and urbanization can help solve the environmental problems and promote regional sustainable development. This study analyzed the spatio-temporal distribution characteristics of supply–demand of ESs and comprehensive urbanization level (CUL) in Shaanxi Province from 2010 to 2019 and assessed the coupling relationship between ecosystem service supply–demand ratio (ESSDR) and CUL using the coupling coordination degree (CCD) model. Random forests and geographically weighted regression methods were utilized to characterize the contribution and spatial distribution of the drivers of CCD. The results showed that: (1) except for habitat quality, the ESSDR of the other three types of services as well as the comprehensive services showed a decreasing trend, CUL exhibited increasing trend; (2) Although CCD was generally increasing, a significant portion (78.51%) of regions still remained uncoordinated, with relatively better coordination shown around the Guanzhong urban agglomeration, which has a higher urbanization level; (3) The CCD in Shaanxi Province was primarily influenced by local financial income, the secondary industry, and temperature forces. In regions with high and increasing CCD, the tertiary industry was the decisive force. In other areas, there were significant spatial variations in the driving forces. These findings provide a coupled and coordinated perspective for urban ecological management, which can provide scientific reference and practical guidance for cities with different development modes.

Analysis of the Heterogeneous Coordination between Urban Development Levels and the Ecological Environment in the Chinese Grassland Region (2000–2020): A Case Study of the Inner Mongolia Autonomous Region

Scientifically identifying the impact of urban development levels on the ecological environment in China’s grassland regions from a classification perspective is crucial for stabilizing grassland ecosystems and optimizing urban development in grassland cities. Using the Inner Mongolia Autonomous Region as a case study, this research constructs a conceptual analysis framework for the coordinated state between the urban development level and the ecological environment in China’s grassland regions based on the theory of dual economic structures. Employing the Granger causality test, nonlinear fitting, and coupling coordination degree model methods, the heterogeneity and coordination between urban development levels and ecological environment in China’s grassland areas from 2000 to 2020 are comprehensively analyzed. The findings reveal the following: (1) Capital-type central cities and growing resource-based cities, with high levels of development, positively nurture the grassland ecology, exhibit high labor mobility, and experience low endogenous and exogenous pressures, resulting in high coordination. (2) Pure agro-pastoral cities, with low development levels, negatively impact the grassland ecology, have low labor mobility, and face high endogenous and exogenous pressures, resulting in low coordination. (3) Regional central cities, with moderate development levels, exert a neutral counterbalance effect on the grassland ecology, with opposing endogenous and exogenous pressures, leading to moderate coordination. (4) When the impact relationship ranges from “positive-neutral-negative,” the endogenous and exogenous pressures on the grassland ecology by declining resource-based cities and developing agro-pastoral cities are determined by their specific development levels, showing variations from “large → balance → small” to “small → balance → large,” with coordination fluctuating between “high-moderate-low”. (5) Special ecological cities are less affected by urban development levels, with coordination levels determined by the ecological foundation. Analyzing the heterogeneous coordination between urban development levels and the ecological environment for different types of cities in grassland regions is significant for improving the overall quality of the grassland ecological environment and exploring distinctive urban development models.

Coupling Coordination Relationship and Spatiotemporal Heterogeneity between Urbanization and Ecosystem Services in the Songhua River Basin

Rapid urbanization in the Songhua River Basin (SRB), a crucial ecological barrier in China and Northeast Asia, has led to the degradation of ecosystem service functions and a decline in their value, thereby posing a significant threat to regional ecological security. Clarifying the complex coupling coordination relationship between urbanization and ecosystem services (ESs) and identifying the spatiotemporal heterogeneity of their interactions will facilitate the high-quality and coordinated development of urbanization and ESs in the SRB. This study employed a systems approach, treating urbanization and ESs as overarching systems and delineating different aspects of urbanization and ecosystem service functions as subsystems within these systems. The spatiotemporal characteristics of urbanization and the ecosystem service value (ESV) in the SRB from 1985 to 2021 were revealed. The coupling coordination relationship and the spatiotemporal heterogeneity of the interactions between urbanization and ESs in the SRB at both the system and subsystem levels were analyzed using the coupling coordination degree (CCD) model and the spatiotemporal geographically weighted regression (GTWR) model. The findings indicated that during the study period: (1) The urbanization index of SRB rose from 0.09 to 0.34, while the ESV experienced a decrease from 2091.42 × 107 CNY to 2002.44 × 107 CNY. (2) The coupling coordination degree (CCD) between urbanization and ESs in the SRB at both the system and subsystem levels increased significantly, generally transitioning from the moderately unbalanced to the basically balanced stage. Areas with high CCD values were mainly distributed in ecological function areas and low-level urbanized areas, while areas with low CCD values were mainly distributed in grassland ecological degradation areas, ecologically fragile areas, resource-dependent old industrial cities, and highly urbanized areas. (3) The subsystems of urbanization had an overall negative impact on Ess, with varying trends, but the spatial distribution pattern of the interactions remained relatively stable. Conversely, the subsystems of ESs all exhibited a trend of initially strengthening and then weakening their negative impacts on urbanization, and the spatial distribution pattern was highly correlated with the spatial distribution pattern of ESV in the SRB.

Studies on the quantification and time-sequence development of integration of industry and education level in higher vocational education-based on the panel data of China’s provincial from 2016 to 2022

An extensive assessment index system was developed to evaluate the integration of industry and education in higher vocational education. The system was designed using panel data collected from 31 provinces in China between 2016 and 2022. The study utilized the entropy approach and coupled coordination degree model to examine the temporal and spatial changes in the level of growth of the integration of industry and education in higher vocational education, as well as the factors that impact it. In order to examine how the integration of industry and education in higher vocational education develops over time and space, as well as the factors that affect it, we utilized spatial phasic analysis, Tobit regression model, and Dagum’s Gini coefficient. The study’s findings suggest that between 2016 and 2022, the integration of industry and education in higher vocational education showed a consistent improvement in overall development. Nevertheless, there are still significant regional differences, with certain areas showing limited levels of integration, while the bulk of regions are either in a state of low integration with high clustering or low integration with low clustering. Most locations showed either a “low-high” or “low-low” level of agglomeration, indicating a significant degree of spatial concentration, with a clear trend of higher concentration in the east and lower concentration in the west. The progress of industrial structure and the degree of regional economic development have a substantial impact on the amount of integration of industry and education in higher vocational education. There is a notable increase in the amount of integration between industry and education in higher vocational education, which has a favorable effect. Conversely, the local employment rate has a substantial negative effect on this integration. Moreover, the direct influence of industrial structure optimization is restricted. The Gini coefficient of the development level of integration of industry and education in higher vocational education exhibits a slight rising trend. Simultaneously, there is a varying increase in the Gini coefficient inside the group and a decrease in the Gini coefficient between the groups. The disparities in the level of integration between Industry and Education in the provincial area primarily stem from inter-group variations across the locations. To promote the integration of industry and education in higher vocational education, it is recommended to strengthen policy support and resource allocation, address regional disparities, improve professional configuration, and increase investment in scientific and technological innovation and talent development.

The digital revolution's environmental paradox: Exploring the synergistic effects of pollution and carbon reduction via industrial metamorphosis and displacement

Faced with the dual challenges of “achieving carbon peaking by 2030 and carbon neutrality by 2060” and “continuing the battle against pollution,” the concept of synergistic reduction of pollution and carbon (SRPC) has emerged as a novel approach for China to tackle climate change and achieve comprehensive ecological improvement. In terms of the increasingly profound influence of the digital economy (DE) on China's economy and society, what impact will DE have on the SRPC? This is a realistic issue worth in-depth discussion. Using the super efficiency SBM model and the coupling coordination degree model (CCDM) to measure the SRPC level in 278 Chinese cities from 2007 to 2019, the influence of DE on the SRPC is investigated from the perspectives of industrial transformation and upgrading (ITU) and the transfer of polluting industry (TPI). The results show that, first, the SRPC in most Chinese regions showed a gradual upwards trend. Second, DE can effectively improve the local SRPC. The improvement is achieved through local ITU (especially industrial upgrading and industrial rationalization). Third, DE notably reduces the SRPC level in neighboring regions. The negative spillover effect has an inverted U-shaped change, and 300 km is the turning point. Spatial mechanism analysis shows that local DE inhibits the SRPC in neighboring regions through the spatial transfer of polluting industries. This study not only helps to assess the effect of DE development on the SRPC but is also highly important for determining how to effectively promote the interregional ITU to realize the SRPC.

A Water–Energy–Carbon–Economy Framework to Assess Resources and Environment Sustainability: A Case Study of the Yangtze River Economic Belt, China

Developing a comprehensive research framework that integrates the water–energy–carbon (WEC) system with economic development is crucial to fostering sustainable development. However, common evaluation indicators for sustainable development fail to cover the most up-to-date climate objectives and policies comprehensively and also lack a decoupling analysis between various subsystems and economic development. By incorporating the Tapio model and the coupling coordination degree model (CCDM), we introduce a novel water–energy–carbon–economy (WECE) framework to evaluate the sustainability of regional resources and the environment. Taking the Yangtze River Economic Belt (YREB) as an example, we have constructed a comprehensive water–energy–carbon (WEC) indicator system that aligns with China’s sustainable development objectives and its most recent carbon emission reduction strategies. Employing the indicator system, we conducted an assessment of the sustainable development within the YREB from 2010 to 2019. The results reveal that the YREB has yet to achieve full decoupling between water use, energy consumption, carbon emissions, and economic development, with a prevailing trend towards weak decoupling (WD). The WEC system within the YREB exhibited coordination from 2010 to 2019. Notably, only the WEC system in Sichuan attained good coordination in 2019, indicating the imperative for more extensive initiatives in resource and environmental development to realize sustainable objectives. Finally, we delve into the driving mechanism of the coupling coordination degree (CCD) of the WEC system. Our findings suggest that, from the perspective of system collaborative management, the integrated approach of the WEC system offers superior benefits compared to individual management components. Consequently, it is imperative to bolster collaboration and institute a comprehensive set of policies to ensure sustainable development within the region.

The realization logic of rural revitalization: Coupled coordination analysis of development and governance.

Socialism with Chinese characteristics has entered a new stage. The principal social contradiction is the uneven development of urban and rural areas. The rural revitalization strategy has emerged as time has required. The realization of rural revitalization not only requires development to lay the foundation of the countryside but also requires governance to lead the development of the countryside. Development and governance are two indispensable aspects of rural revitalization. However, China's rural areas have long been in a state of development without governance, and this situation must change. Therefore, systematically exploring the relationship between development and governance is the key to solving the current shortcomings in rural areas. Based on the data from the statistical yearbook, the study constructed a set of evaluation indicators for rural development governance and revitalization and verified the model's effectiveness.The entropy method and the assessment model were used to calculate the comprehensive score of rural development, governance, and revitalization. The relationship between rural development and governance was analyzed using a coupled coordination model. The regression analysis model was used to explore the relationship between the coupling results of rural development, governance, and rural revitalization. From the comprehensive results, both development and governance show an upward trend, but the upward trend of development is better. From the analysis of coupling coordination between development and governance, the C value is in good condition, the T value fluctuates wildly, and the D fluctuates with the fluctuation of T. Judging from the comprehensive score of rural revitalization, it also shows an upward trend year by year. Judging from the regression analysis results of coupling coordination degree and rural revitalization comprehensive score, coupling coordination degree will significantly impact the rural revitalization evaluation value. The study found that current rural development and governance present a spiral coupling coordination relationship, and the degree of coupling coordination significantly correlates with rural revitalization. Based on the research conclusions, the study further proposes three paths to promote the coupling and coordination of development and governance. The first is an organizational isomorphism, which builds a coupled coordination system for rural development and governance. The second is to tilt resources and improve the supply of connected and coordinated factors for rural development and governance. The third is the operating mechanism to optimize rural development and governance's coupling and coordination path.

Optimizing zoning for ecological management in alpine region by combining ecosystem service supply and demand with ecosystem resilience

In order to enhance ecosystem stability and promote sustainable regional ecological, social, and economic development, it is crucial to explore the coupling relationship between ecosystem service supply and demand and the resilience of ecosystem, so as to propose scientific ecological management zones and strategies. Taking the vulnerable alpine ecosystem in Gannan Tibetan Autonomous Prefecture (Gannan Prefecture) as the study area, this paper comprehensively utilized multi-source data, grid analysis, ecosystem service supply and demand estimation model, and coupled coordination model to analyze the spatio-temporal differentiation and coordination pattern of ecosystem service supply and demand in the study area from 2000 to 2020. With the assistance of the Analytic Hierarchy Process (AHP), the ecosystem resilience index system was constructed to evaluate the regional ecological resilience. The results reveal the following: (1) In the past 20 years, the ecosystem service supply and resilience in Gannan Prefecture showed a fluctuating upward trend, and the demand continued to grow steadily. Their spatial differentiation were obvious, but the pattern remained stable. (2) There was a moderate incoordination indicated by the average coordination degree of the supply and demand coupling of ecosystem services, which rangeed between 0.3 and 0.4. (3) Gannan Prefecture was split into three ecological management zones, considering the spatial distribution of ecosystem service supply and demand, as well as resilience. Through system function monitoring and other measures, the ecological conservation zone will rely on its high resilience to support the restoration and self-sufficiency of the system, ensuring the stability and well-being of the ecosystem. The primary objectives of general protected zone includes environmental preservation, strict regulations, and the prevention of human intervention. To enhance their ecological background, key restoration zone must intensify the implementation of ecological restoration initiatives. To address the needs of the locals, strategies such as ecological compensation, optimizing the land use structure, and fostering the growth of environmentally friendly companies can be implemented simultaneously.

Regional patterns and factors analysis of the sustainable development of benefits in China's national-level marine ranching: Based on shellfish and algae

National-level marine ranching plays an important role in enhancing the marine ecological environment, fostering social and economic development, and bolstering human well-being. Quantitatively analyzing the level of coordinated development of its “ecological-economic-social” benefits and the factors influencing them is of great theoretical significance and practical value for refining the new round of development planning and guiding its construction and management. Therefore, on the basis of establishing a theoretical framework for the interaction of “ecological-economic-social” benefits, shellfish and algae were selected as research objects. We calculated the levels of ecological, economic, and social benefits, explored the interrelationships among the three using the coupled coordination model, and analyzed the influencing factors by using multivariate linear regression and geographically weighted regression. The results showed that: (1) In 2015 and 2021, the ecological and economic benefits of national-level marine ranching for shellfish and algae were better than the social benefits, in which the ecological and social benefits were stable, while the economic benefits were more variable; (2) The degree of coordination of the coupling between the three benefits in each province was mostly low, with most experiencing severe disorder; (3) The level of openness to the outside world and the standard of living of fishermen contributed positively to the coordination of benefit coupling between shellfish and algae. Conversely, the level of science and technology, innovation capacity, and the level of social development had a slightly negative impact. In conclusion, shellfish and algal aquaculture in China's national-level marine ranching significantly contributes to the ecological, economic, and social systems. However, the merits and demerits of natural, social, and economic factors must be comprehensively considered to promote the sustainable development of marine ranching.

Systematic coupling and multistage interactive response of the urban land use efficiency and ecological environment quality

Rapid urbanization and industrialization have greatly contributed to boosting regional economic growth and mitigating the problem of poverty, but blind expansion of cities and towns has not only caused the inefficient use of urban land resources but also caused the deterioration in the urban ecological environment. Within the current context of emphasizing high-quality development, achieving synergy between the efficient use of urban land and ecological environmental protection is an urgent task for promoting new urbanization construction. In this study, cities in the upper reaches of the Yangtze River (URYR) were adopted as the research object, a theoretical analysis framework for the urban land use efficiency (ULUE) and ecological environment quality (EEQ) was established, the ULUE was measured by using the Slacks-Based Measure (SBM) model, the coupling coordination and interactive corresponding response relationship between the ULUE and EEQ were analyzed, and the influencing factors of the coupling coordination between these two systems were explored by using the random forest model. The following conclusions can be obtained: in 2020, compared with those in 2006, both the ULUE and EEQ were improved, and the two systems exhibited interactions and significant spatiotemporal heterogeneity. The coupling coordination degree (CCD) between the ULUE and EEQ could facilitate maintaining the original state, and the transfer of the CCD exhibited a significant spatial correlation with the state of neighbouring cities. The effect of the ULUE on the EEQ indicated nonlinear characteristics, while the effect of the EEQ on the ULUE was manifested as inhibition initially and then promotion. The random forest regression results showed that the population density, landscape agglomeration and connectivity, market conditions, government intervention, and industrial institutions are the key influencing factors of the CCD. Finally, this study provides policy implications for innovative urban land use modelling, environmental regulation, and industrial transformation and upgrading.

Research on the Spatial-Temporal Evolution and Driving Mechanism of Coupling Coordination among Digital-Tourism-Environment in the Yellow River Basin

The digital economy, the tourism industry, and ecological protection are closely related, which holds paramount significance for regional sustainable development. Based on panel data from 2011 to 2021 in the Yellow River Basin, the study scrutinizes the spatial and temporal variances and driving factors of the three-system coupling coordination degree. The results indicate that: (1) The development level of the three systems is significantly different. The coupling coordination degree shifts from imminent imbalance to marginal coordination, but there is a noticeable expansion in spatial disparities. (2) The coupling coordination degree of non-resource cities significantly surpasses that of resource cities, and regenerative cities outperform growing, mature, and declining cities. The overall pattern of the provincial capital cities “center-periphery”, decreased the coordination characteristics. The spatial correlation of coupling coordination degree presents two aggregation patterns of “high-high” and “low-low”, and the overall correlation gradually weakens. (3) The driving factors reveal that the economic driving force is the largest, followed by the internal driving force, and the government regulatory force and scientific and technological driving force are relatively weak. Consequently, this paper proposes to strengthen the integration and penetration function of the digital economy and have it play the linkage role between regions. This lays down a solid foundation for crafting scientifically informed policies aimed at achieving regional sustainable development.