Explore the vast range of titles available.

The growth of climate investment and financing highlights the growing global focus on climate change. In China, fostering the coordinated development of climate investment and financing and green finance is a crucial step toward accomplishing sustainable development objectives and addressing climate challenges effectively. By constructing the indicator system of climate investment and financing and green finance, and using the entropy method and the coupled coordination model, we comprehensively explored the development level and the coupling coordination relationship between climate investment and financing and green finance in 30 provinces in China during the period of 2013–2022. The findings of the research indicate that the development of climate investment and financing and green finance in China as a whole shows a growth trend, but the development of climate investment and financing remains relatively underdeveloped, and noticeable variations can be observed among regions. In respect to the level of coupling coordination, the overall coordination level of each province has not yet attained the desired level of optimality, and despite the yearly increase in the coordination degree at the national level, it is still in the state of mild dislocation. The eastern coastal region has the highest level of coupling coordination and is in the stage of verging on dislocation. And the great northwestern region has the lowest level of coordination and is in the stage of moderate dislocation. These findings provide an important reference for the formulation and execution of climate investment and financing and green finance policies in China.

The tourism industry provides the impetus for the development of the habitat environment, while the development of the habitat environment lays the foundation for the development of the tourism industry, and the two develop in a coordinated manner. In rural habitat improvement, rural tourism development should be integrated with rural habitat improvement, and a coordinated integration system of rural tourism and habitat environment should be built to extend the coverage of rural habitat improvement and improve the level of rural tourism development. This study constructs a comprehensive evaluation system and evaluation indexes for the development level of the rural tourism industry, and the analysis of the coupling coordination degree results shows that Fi(x, t) > F2(y, t) from 2017 to 2020, and Fi(x, t) < F2(y, t) from 2014 to 2016 and 2021 to 2022. From the integration coordination degree (D), from 2014 to 2018, the integration coordination degree (D) of rural tourism and habitat environment shows a fluctuation trend, the integration degree shows an upward trend, the coordination area of rural tourism income level shows a spatial polarization gesture, and the integration of cultural industry and tourism industry reaches the initial coordination by 2021. The integration of rural tourism and habitat environment in China is currently in a dysfunctional state, which is very unfavorable to the long-term development of China’s rural tourism industry and threatens the original habitat environment and should adhere to the people-oriented principle, gradually build up a coordinated integration system of rural tourism and habitat environment in China, and realize a win-win situation for the development of rural tourism and habitat environment.

In order to coordinate the digital geographic planning of agriculture and clarify the grasp of agricultural integration and digital development, by building a connected coordination model of the digital economy and the high-quality growth of the agricultural services trade, this article is confirmed. First, the fundamental workings of the digital economy and their spatial spillover effects on the high-quality growth of the agricultural services sector are examined. To evaluate each method’s level of development, the TOPSIS methodology and the entropy value method are linked, and a coupling coordination model is created. The production of the high-quality agriculture service trade and digital economy index system follows. In the end, the empirical study of coupling coordination was carried out using data from each province in China from 2010 to 2020 as the original sample. The findings indicate that before 2015, in all provinces, the coupling coordination degree of the development of the agricultural service trade and the digital economy was less than 0.2. The coupling coordination degree showed a tendency of moderate expansion from 2016 to 2020, increasing by 583.33% from 2010 to 2020. This shows that as the digital economy has expanded, the agriculture services sector has also developed in a high-quality manner.

The Yellow River Basin serves as a crucial ecological barrier in China, emphasizing the importance of accurately examining the spatial distribution of forest carbon stocks and enhancing carbon sequestration in order to attain “carbon peaking and carbon neutrality”. Forest patches have complex interactions that impact ecosystem services. To our knowledge, very few studies have explored the connection between these interactions and carbon stock. This study addressed this gap by utilizing complex network theory to establish a forest ecospatial network (ForEcoNet) in the Yellow River Basin in which forest patches are represented as nodes (sources) and their interactions as edges (corridors). Our objective was to optimize the ForEcoNet’s structure and enhance forest carbon stocks. First, we employed downscaling technology to allocate the forest carbon stocks of the 69 cities in the study area to grid cells, generating a spatial distribution map of forest carbon density in the Yellow River Basin. Next, we conducted morphological spatial pattern analysis (MSPA) and used the minimum cumulative resistance model (MCR) to extract the ForEcoNet in the basin. Finally, we proposed optimization of the ForEcoNet based on the coupling coordination between the node carbon stock and topological structure. The results showed that: (1) the forest carbon stocks of the upper, middle, and lower reaches accounted for 42.35%, 54.28%, and 3.37% of the total, respectively, (2) the ForEcoNet exhibited characteristics of both a random network and a scale-free network and demonstrated poor network stability, and (3) through the introduction of 51 sources and 46 corridors, we optimized the network and significantly improved its robustness. These findings provide scientific recommendations for the optimization of forest allocation in the Yellow River Basin and achieving the goal of increasing the forest carbon stock.

Introduction: Urban resilience construction can aid in the management of urban crises and enhance the quality of the human living environment. Compared to metropolises in developed regions, cities in underdeveloped regions with unsatisfactory natural environments, insufficient economic and social development, and inadequate infrastructure construction are highly vulnerable to challenges posed by natural disasters, epidemics, and climate change. Comprehensive quantitative evaluations are needed to identify avenues for enhancing urban resilience. Methods: This study employs the TOPSIS entropy weight method and coupled coordination model to evaluate the economic, social, environmental, and infrastructure resilience of six cities and states along the Sichuan-Tibet Railway in China from 2015 to 2020. Furthermore, correlation and gray correlation analysis are used to identify the primary factors influencing the urban resilience of underdeveloped regions. Results: Firstly, during 2015-2020, the overall urban resilience of each city and state maintained an increasing trend, with different trends in the evolution of the four resilience indices and differences among cities, and the highest overall resilience is in Lhasa. Secondly, the coupling coordination between the overall resilience and each resilience aspect maintained an increasing trend and differed significantly from each other. Finally, the social and economic resilience of each city and state maintained an increasing trend and differed significantly from each other. Discussion: Economic, social, environmental, and infrastructure factors each have their own characteristics in influencing urban resilience. Based on the results, we present a three-dimensional evaluation model for analyzing the evolutionary trajectories and resilience patterns of cities. This work intends to present new concepts for assessing and optimizing urban resilience in underdeveloped regions using quantitative methodologies, as well as providing references for urban resilience construction in these places.

The digital economy is a part of the current industrial reform that should not be ignored. Moreover, rural tourism is an important way to realize rural revitalization and common prosperity, and the correlation and interaction between the two are crucial to rural development. In this paper, we explore the interactive influence between the two, use the entropy value method, kernel density function, global spatial autocorrelation analysis, and other measurement methods to measure the comprehensive development level of the two, and accordingly establish the coupling and coordination model for the high-quality development of digital economy and rural tourism. The spatiotemporal characterization of the high-quality development of the digital economy and rural tourism in 30 provinces in China is carried out, and the coupled and coordinated development of the digital economy and rural tourism in 16 cities and towns in Yunnan Province is explored as an example, according to which suggestions for the corresponding development paths are put forward. The digital economy development index of China’s seven major geographic regions during the five years of 2019-2023 is the highest in South China (0.473) and the lowest in Northwest China (0.219). Southwest China (0.518) has the highest rural tourism high-quality development index value, while Northwest China (0.386) has the lowest value. The degree of coupling and coordination of digital economy and rural tourism high-quality development in Yunnan Province increased by 0.0903 during the 5 years. The coupling and coordination of digital economy and rural tourism high-quality development in Yunnan Province in 2014, 2016, 2018, and 2020 Moran index was -0.0885, 0.0916, 0.1527, 0.1729, with the Z-value showing an increasing trend and the P-value showing a decreasing Trend. The coordination between the digital economy and rural tourism development in Yunnan Province has improved.

Urban blue-green infrastructure (UBGI) has been recognized as an effective nature-based solution (NbS) for mitigating urban overheating through temperature reduction. However, there is a paucity of research examining whether UBGI spatial configurations align with the geographical distribution of the heat exposure risks of urban residents. This study focuses on this research gap, employing a population-weighted algorithm to conduct a refined assessment of the blue-green spaces exposure and heat exposure risks of urban residents. Then, the heat exposure risk was conceptualized as the demand for cooling services, with exposure to blue-green spaces serving as the supply. A comprehensive assessment was finally conducted of the supply–demand relationship and coupling coordination level for cooling services in central Wuhan. The following findings were revealed: (1) Both heat exposure risks and blue-green exposure demonstrate distinct “west high–east low” spatial gradients. It is evident that extreme high/high-risk zones, which encompass 17.1% of the study area, house 74.49% of the permanent population; (2) A substantial and pervasive positive correlation exists between UGBI exposure and the heat exposure risk. “High-demand–high-supply” areas (14.90% coverage) concentrate in urban cores, overlapping with 61.25% high-risk populations, while 0.29% of zones show “high-demand–low-supply” mismatches, revealing concentrated but ineffective UGBI distribution; (3) A pervasive supply–demand imbalance is evident, with 90.64% of regions exhibiting an unacceptable coupling type range (0 < D ≤ 0.4) and a mere 1.39% attaining an acceptable range (0.6 < D ≤ 1). These findings underscore the inadequacy of prevailing urban blue-green infrastructure configurations in addressing heat exposure risks. The construction of cities with greater heat resilience necessitates the implementation of multidimensional strategies aimed at risk mitigation.

Rural revitalization places higher demands on the productive–living–ecological (P-L-E) spaces of towns and cities. It is necessary, therefore, to identify, evaluate, and optimize P-L-E spaces to better guide spatial planning. Existing studies typically evaluate a single space, lacking a comprehensive consideration of whole-area integration. This study, therefore, developed a coupled spatial/developmental suitability evaluation system for Feixi County, Anhui Province, China, combining spatial quality evaluation, a coupled coordination model, and future land-use simulation (FLUS) model. The spatial quality of Feixi County in 2010, 2015, and 2020 was obtained by applying the evaluation system to the spatial development pattern. The results were analyzed and verified using the landscape pattern index and development suitability evaluation. The results showed the following: (1) The coupling coordination degree of the region increased from 0.131 to 0.372, changing from low to moderate coordination. (2) Based on the FLUS model to better capture the uncertainty and stochastic basis of the development in the study area. The kappa coefficient and Figure of Merit (FoM) index of the land-use simulation accuracy verification index were 0.7647 and 0.0508, respectively, and the logistic regression ROC values were above 0.75, thus meeting accuracy requirements. This demonstrated that the simulation model—based on a factor library of the evaluation of resource and environmental carrying capacity and suitability for development and construction—could better reflect future land-use changes. (3) The simulation showed that under the baseline development scenario, the area’s spatial layout is too concentrated in terms of construction land, ignoring P-L-E coordination. Under the ecological optimization scenario, high-quality ecological space is ensured, but other types of spaces are lacking. Under the comprehensive guidance scenario, lagging ecological space is optimized and P-L-E spatial development is enhanced through aggregation, clustering, concentration and integration. This way, the spatial quantity structure and distribution form can meet P-L-E spatial development needs in Feixi County. In this study, on the basis of scientific assessment of the current P-L-E space, the FLUS model was applied to carry out a scenario simulation according to different objectives. Moreover, based on the construction of the coupling system of human–nature system, the driving factors were improved to enhance the prediction accuracy of the FLUS model. This study’s findings can help improve the scientificity, flexibility and management efficiency of Feixi County’s P-L-E spatial layout, thereby supporting its sustainable development.

In the context of global efforts to address climate change and pursue sustainable development, green finance (GF) and energy efficiency (EE) have become key issues of focus for academics and policymakers. This study explores the spatiotemporal coupling characteristics and driving factors of China’s green finance and energy efficiency from 2011 to 2022, aiming to help China achieve its dual carbon goals. This study used a three-dimensional framework to assess 30 provinces, considering factor inputs, expected outputs, and undesirable outputs. The study employed the global benchmark super-efficiency EBM model, entropy method, coupling coordination model (CCD), Dagum Gini coefficient decomposition, and spatiotemporal geographic weighted regression model (GTWR). Key findings include a “high in the east, low in the west” gradient distribution of both green finance and energy efficiency, expanding regional disparities, and a strong synergistic effect between technological innovation and energy regulation. Based on the findings, this paper proposes a three-tier governance framework: regional adaptation, digital integration, and institutional compensation. This study contributes to a deeper understanding of the coupling theory of environmental financial systems and provides empirical support for optimizing global carbon neutrality pathways.