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Balancing economic growth with environmental protection is vital for the sustainable development of cities and regions. However, urban greening has rarely been considered in extensive studies. This study incorporates urban greening into a coupling coordination degree (CCD) model, in order to evaluate its coordination with economic performance. A total of 286 cities in China between 2005 and 2019 were selected as specific study subjects. Meanwhile, clustering method was used to classify different clusters based on CCD values, the Gini coefficient analysis was applied to discover the CCD values inequality characteristics and the exploratory spatial data analysis (ESDA) method was employed to study the CCD values spatial aggregation features. The results indicate that the CCD values presented significant spatial heterogeneity. Spatially, the CCD values were divided into eight clusters, with those in the eastern region generally being higher than in the central and western regions. Temporally, the CCD in all cities showed an increasing trend, but more than 60% of cities were still in the uncoordinated or low-level coordination stage. In addition, inequality and spatial aggregation characteristics were observed in CCD values, both of which presented decreasing trends. Greening has a stronger influence on the linked and coordinated growth of the two systems; therefore, we propose policy recommendations for pursuing the development of environmentally friendly cities from different aspects. In summary, this research allows for a better understanding of economic and environmental relationships, thus contributing to the objective of creating sustainable cities and communities.

In the context of urban stock renewal, the spatial arrangement of public cultural facilities (PCFs) should follow the principles of equity and efficiency to ensure that residents have equitable access to and quality of public cultural services. The aim of this article is to study the spatial distribution of PCFs and the coupling of supply and demand of cultural resources in Tianjin’s central area. By building a supply-demand coupling coordination model and other methods, the equalization of the spatial distribution of PCFs is measured from various perspectives, and the results suggest that more than half of the sub-districts are in a situation of supply and demand imbalance. To fulfill the purpose of meeting residents’ actual needs, balancing supply and demand for cultural resources, and coordinating the increase in stock, these sub-districts’ facilities enter the step of optimization. Depending on the circumstances, the quality and scale of these facilities are optimized, or new facility points are added based on the maximized coverage model. The optimization is shown to be beneficial in terms of updating design and coverage quantity using two real-world cases. Finally, the coverage of facilities in the study area is maximized, facility utilization is made more efficient, and residents’ needs for public cultural services are satisfied.

This study aims to investigate the water resource carrying capacity (WRCC) of Henan Province, identify its main obstacles, and provide suggestions for optimizing its WRCC. The article constructs a WRCC evaluation system with 20 indicators for the four subsystems of water resources, economy, society, and ecology based on literature and the actual situation of Henan Province. The entropy weighted TOPSIS method is used to calculate the WRCC of Henan Province from 2005 to 2021. The coupling coordination model is used to explore the degree of coupling coordination among internal systems, while the obstacle model is used to study its restrictive influencing factors. The study found that (1) the WRCC fluctuated in a U-shaped pattern around 0.5 during the study period; (2) the coupling and coordination degree of each subsystem is generally good, except for 2012 and 2013, which showed basic coordination; (3) currently, the main obstacles to the WRCC are ecosystems and water resources. The main indicators are afforestation area, proportion of the tertiary industry, fertilizer usage, and urban sewage treatment rate. Therefore, Henan Province should take measures such as reducing fertilizer usage, standardizing urban sewage treatment, improving water efficiency, and optimizing industrial structure to optimize its WRCC and promote comprehensive utilization of water resources.

Urban resilience is an emerging research topic of urban studies, and its essence is described by the ability of cities to resist, recover, and adapt to uncertain disturbances. This paper constructs a “Size-Density-Morphology” urban ecological resilience evaluation system, uses a coupling coordination degree model to measure the degree of coupling coordination between urbanization and ecological resilience in the Pearl River Delta from 2000 to 2015, and conducts an in-depth discussion on its spatiotemporal characteristics. The results show the following. (1) From 2000 to 2015, the urbanization level of cities in the study area generally increased while the level of ecological resilience declined. The coupling coordination degree between the two systems decreased from basic coordination to basic imbalance. (2) In terms of spatial distribution, the coupling coordination degree between urbanization and ecological resilience of cities presented a circular pattern that centered on the cities at the estuary of the Pearl River and increased toward the periphery. (3) Ecological resilience sub-systems played variable roles in the coupling coordination between urbanization and ecological resilience. Specifically, size resilience mainly played a reverse blocking role; the influence of morphology resilience was generally positive and continued to increase over time; the effect of density resilience was positive and continued to decline and further became negative after falling below zero. The main pathways for achieving coordinated and sustainable development of future urbanization and ecological resilience in the Pearl River Delta include: leading the coordinated development of regions with new urbanization, improving ecological resilience by strictly observing the three areas and three lines, adapting to ecological carrying capacity, and rationally arranging urban green spaces.

The process of urbanization promotes the development of economy and society, and also brings great pressure to the environment. In order to better understand the harmonious and interactive relationship between environment and urbanization, by selecting 13 cities in Hunan province of China as cases, this paper establishes a correlation model and a comprehensive evaluation system, uses entropy weight method to weight the index, the coupling coordination model to analyze the coupling coordination relationships empirically, and gray prediction model to predict the trend and make corresponding decision recommendations. The results show with novelty that the overall performances of environment and urbanization for the 13 cities in Hunan province have similarities, the coupling coordination degrees are mild with slight fluctuations, and the next years will keep the similar trends. However, the coupling coordination development is unbalanced with the coupling degree of the east higher than that of the west; therefore, corresponding measures for better environmental governance and urban planning need to be taken in different cities.

To discuss the coupling coordination relationship among tourism carbon emissions, economic development and regional innovation it is not only necessary to realize the green development of tourism economy, but also great significance for the tourism industry to take a low-carbon path. Taking the 30 provinces of China for example, this paper calculated the tourism carbon emission efficiency based on the super-efficiency Slacks based measure and Data envelope analyse (SBM-DEA) model from 2007 to 2017, and on this basis, defined a compound system that consists of tourism carbon emissions, tourism economic development and tourism regional innovation. Further, the coupling coordination degree model and dynamic degree model were used to explore its spatiotemporal evolution characteristics of balanced development, and this paper distinguished the core influencing factors by Geodetector model. The results showed that (1) during the study period, the tourism carbon emission efficiency showed a reciprocating trend of first rising and then falling, mainly due to the change of pure technical efficiency. (2) The coupling coordination degree developed towards a good trend, while there were significant differences among provinces, showing a gradient distribution pattern of decreasing from east to west. Additionally, (3) the core driving factors varied over time, however, in general, the influence from high to low were as follows: technological innovation, economic development, urbanization, environmental pollution control, and industrial structure. Finally, some policy recommendations were put forward to further promote the coupling coordination degree.

Coordinating socio-economic development with resource-ecological protection is a core task for achieving ecological protection and high-quality development in the Yellow River Basin. The key lies in revealing the mechanisms and transmission paths of policy interventions influencing resource-ecosystems through human behavior. However, existing research largely focuses on the binary coupling analysis of socio-economic and resource-ecosystem aspects at the basin or provincial/municipal levels, neglecting the actual responses and spatial heterogeneity of policies at the county/district level (the implementation unit). This results in a limited understanding of policy implementation effects and system coordination mechanisms. Furthermore, the mediating and feedback roles of proactive human responses in system regulation under policy contexts lack systematic characterization, hindering the scientific assessment of regional coordinated development levels. Therefore, this paper takes the Yiluo River Basin as the research object, constructing a socio-economic, resource-ecological and human response (F–E–H) system framework to systematically analyze the interaction paths and mechanisms among these three elements, aiming to provide theoretical support for policy effectiveness evaluation and refined basin governance. Using panel data from 25 districts and counties from 2012 to 2021, an integrated evaluation framework was constructed to assess the development levels of the F–E–H systems. The coupling coordination degree (CCD) model was applied to quantify the coordination relationships among the three subsystems, while the obstacle degree model was used to identify key factors constraining coordinated development. In addition, a gray forecasting model was employed to project the future evolution of the coupling coordination level. The results indicate that the overall development of the F–E–H systems in the Yiluo River Basin exhibited a steady upward trend during the study period. By 2021, the overall CCD exceeded 0.72, reaching a moderate coordination level, although significant constraints remained. At the guideline level, obstacles were mainly associated with the driving and human response subsystems, while at the indicator level, air quality and afforestation area were identified as the primary limiting factors. Under the combined influence of policy interventions and technological progress, the CCD of most districts and counties is projected to exceed 0.8 by 2030, indicating a transition toward advanced coordination. Based on these findings, this study highlights the critical role of human responses to policy measures in enhancing watershed coordination and proposes targeted governance strategies to promote balanced and high-quality development in the Yiluo River Basin.

To investigate the latent relation between technology innovation and eco-environmental systems and promote their coordinated development, we integrated the coupling coordination model and panel vector autoregressive model to examine the evidence from China. The research reveals that the technology innovation benefit and eco-environmental governance and endowment are the prominent factors for optimizing the two systems. Moreover, the findings show that the coupling coordination degree of eco-environment and technology innovation in China presents an upward trend. In terms of the dynamic interaction between technology innovation and eco-environment, the influence of the former on the latter is timely while that of the latter on the former is lagging (except for the central region). The weak coupling coordination degree implies that the mutual promotion of technology innovation and eco-environmental systems has not yet formed. The policy implications are proposed accordingly to promote coordinated development of eco-environment and technology innovation in China.

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.

To realize efficient and sustainable poverty alleviation, this study firstly investigated the identification of multidimensional poverty and relative poverty, and then explored relevant poverty alleviation pathways. Poverty levels in 31 provinces including the autonomous regions and municipalities of China were identified at the county level using the average nighttime light index (ANLI), county multidimensional development index (CMDI), and a method combining multidimensional poverty index and relative poverty standards. Poverty alleviation pathways for poverty-stricken counties were explored from the aspects of industry, education, tourism and agriculture. The results revealed that nearly 60% of counties in China were primarily under relative poverty, most of which were corresponded to light relative poverty. In terms of ANLI and CMDI, 63% and 79% of the national poverty-stricken counties, as of 2018, could be identified, suggesting that CMDI had a higher performance for identifying poverty at the county level. In terms of poverty alleviation pathways, 414, 172, 442, and 298 poverty-stricken counties were receptive to industry poverty alleviation, education poverty alleviation, tourism poverty alleviation, and agriculture poverty alleviation, and 61% of counties had more poverty-causing factors, implying that multidimensional poverty alleviation is suitable in most of the counties.