Regional Sustainable Development Research Articles

CLIMATIC RISKS AND FOREST ECOSYSTEMS: THE INTERACTION BETWEEN DEFORESTATION AND CLIMATE CHANGE

The article provides a comprehensive analysis of the interaction between deforestation and climate change, with particular emphasis on the impact of military actions on the reduction of forest ecosystems. The research utilized general scientific methods (data analysis and synthesis), retrospective and comparative analysis, analytical-synthetic methods (study of scientific and statistical data, archival materials, etc.), and remote sensing techniques. The aim of the study was to identify the main causes of the reduction in forested areas in Ukraine and their role in the context of global climate change, as well as their significance for the socio-economic development of the country during wartime and the post-war period. The role of forest ecosystems as a source of a wide range of ecosystem services and as a significant component of the socio-economic status of the Ukrainian Polissya region is analyzed. Special attention is given to the interaction between the reduction of forest-covered areas and the intensification of climate change. The main factors contributing to the reduction of Ukraine’s forest ecosystems are presented, with a particular focus on forest fires, including those caused by military actions. It was established that from April 2023 to April 2024, the highest number of forest fires occurred in the eastern and southern parts of the country, where active military actions are ongoing. An automated methodology for decoding satellite images to detect areas of Scots pine dieback due to infestation by the pine shoot beetle was developed, resulting in a map of the study area showing the boundaries of forestry districts, the grid of forest compartments, the contours of damaged forest areas, and new dieback hotspots. The study demonstrates that forest ecosystems are essential for mitigating climate change and ensuring sustainable regional development. This is particularly true for the Ukrainian Polissya region, especially Zhytomyr Oblast, which has the highest forest cover in the country but also leads in the loss of forest-covered areas.

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.

Localized Sustainable Development Goals Changes and Their Response to Ecosystem Services—A Case of Typical Southern Hilly Regions in China

Sustainability has become an indispensable core consideration when nations formulate their development policies. This study delves into the dynamic correlations between ecosystem services (ESs) and localized Sustainable Development Goals (SDGs) in a typical hilly region in southern China. Various ESs were computed using the InVEST model, while spatial econometric models were employed to assess ES responses to SDG targets at the county, sectoral, and overall spatial levels. The findings revealed the following. (1) From 2005 to 2020, there were differences in the development rates of various SDG targets in Ganzhou. Except for SDG 15, which declined, the development of the other targets showed an overall increasing trend. The development of the various SDG targets was relatively balanced, but SDG 9 and SDG 7 had the highest growth rates, ranging from 9.4% to 10.7% and 9.4% to 10.3%, respectively. The comprehensive SDG assessment index exhibited significant spatiotemporal variation, with a general trend of higher values in the north and lower values in the south. (2) The local ES showed a delayed response to SDG 1 and SDG 2, but there was a significant positive response to SDG 3, SDG 4, SDG 6, SDG 8, and SDG 9. However, responses to SDG 7, SDG 11, SDG 13, and SDG 15 showed regional differences. This study not only provides valuable insights for sustainable development in Ganzhou and other regions of China but also offers Chinese perspectives and experiences that may inform global efforts towards SDG implementation. This study fills the gap in existing research by constructing a localized SDG indicator system and quantifying each SDG indicator, further exploring the response of the ES to each SDG in the region. Looking ahead, we anticipate further research to deepen the understanding of the relationship between ESs and SDG targets on a broader geographical scale and over longer timeframes, aiming to provide a more robust scientific foundation for building a harmonious coexistence between humans and nature in the future.

Legal and budgetary challenges in implementing the Ecological ICMS: the case of the state of Amazonas

Environmental preservation, a global challenge, requires effective policies to ensure the sustainability of ecosystems. In this sense, the Ecological ICMS emerges as a crucial tax tool, encouraging environmental conservation by rewarding municipalities that protect their natural resources. This study aims to analyze the challenges of implementing the Ecological ICMS in the State of Amazonas, seeking to identify policies and strategies to improve its effectiveness. The research focuses on the vast Amazonian biodiversity, using a qualitative and descriptive approach. Data collection involved a comprehensive review of literature and government sources, focusing on key terms such as "ICMS Ecológico" and "Amazonas". The results point to a positive economic scenario, with growth in all sectors and an increase in tax collection. However, challenges persist, such as the need for more efficient policies and fair distribution of resources between municipalities, in addition to raising awareness about environmental preservation. Even in the face of these challenges, the Ecological ICMS stands out as a strategic tool to boost sustainable development in the Amazon region.

Improving grassland ecosystem services for human wellbeing in the karst desertification control area: Anthropogenic factors become more important

Elucidating the spatial and temporal patterns of grassland ecosystem service value (ESV) changes under different karst geomorphic types (KGTs) is crucial for promoting regional sustainable development and enhancing human well-being. Karst ecosystems are characterized by high spatial heterogeneity. However, analyses of the drivers of spatial and temporal changes in ESV in karst grasslands at multiple scales are lacking. In this study, the South China Karst (SCK) region was selected as the focus area, the gross ecosystem product (GEP) accounting method was used to quantify the grassland ESV from 2000 to 2020, and the GeoDetector model was used to elucidate the spatial and temporal evolution of the GEP, the drivers, and their interactions in different KGTs. The results indicate the following: (1) Over the past 20 years, the grassland GEP of SCK has increased from ¥ 14,844.24 × 108 in 2000 to ¥ 17,174.90 × 108 in 2020. Among the various KGTs, the karst gorge exhibited the fastest GEP increase (24.93 %) and karst hilly depressions the slowest (6.22 %). (2) The karst grassland GEP showed a strong positive spatial correlation with significant clustering characteristics (p < 0.05). (3) There are significant differences in the factors influencing the GEP of grasslands with different KGT values, and although they are generally influenced by factors such as NPP, precipitation, and population density, anthropogenic factors are becoming increasingly important. In addition, the multifactor interaction explained GEP better than the single factor. Based on our findings, we propose targeted grassland ESV restoration approaches and management recommendations for various KGTs dominated by distinct factors. Our results provide a scientific basis for decision-making regarding karst ecosystem service enhancement and value realization.

Study on the Removal Effect of 3DEPs on Microplastics in Groundwater and Desalination Mechanism

Owing to water scarcity, groundwater quality has become an important constraint on sustainable regional development, especially in coastal areas. Coastal groundwater is subject to natural conditions and intense human activities, and the evolution of water quality is extremely complex, with the possibility of seawater intrusion into the groundwater, leading to the salinisation of freshwater aquifers. At present, the commonly used methods for removing groundwater pollution include coagulation, adsorption, biological method, membrane technology, etc., among which the coagulation method is more commonly used. At present, three-dimensional electrode electrochemical technology is widely used in high salinity organic wastewater and many organic wastewaters, but there are few studies related to microplastic removal by three-dimensional electrode electrochemical technology using metallic aluminium particles as particle electrodes. The treatment of microplastics in coastal groundwater is a relatively novel issue, and with the increasing application of three-dimensional electrochemical technology in the study of desalination, the three-dimensional electrode electrochemical technology will be promising due to the high salinity of coastal groundwater, the increasingly serious pollution of microplastics, and the fluctuation of water quality and quantity.

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.

Digital Transformation Model of Population Administration Services for Regional Development through a Population Data Utilization System in Medan City

This research aims to examine the influence of digital transformation on population administration services and its implications for regional development in Medan City. Against the background of the need to increase the efficiency and effectiveness of public services, this research adopts a quantitative approach, using tools such as questionnaires, in-depth interviews and observations to collect data. Against the background of the need to increase the efficiency and effectiveness of public services, this research adopts a quantitative approach, using tools such as questionnaires, in-depth interviews and observations to collect data. The research results indicate that digitalization of population services makes a positive contribution to improving the quality of public services, which indirectly influences regional development through increasing efficiency, accessibility and transparency of services. And this research provides insight into e-government strategies in Medan, supporting the effective use of population data in supporting inclusive and sustainable regional development.

Construction of regional multi-scenario spatially balanced ecological security pattern based on self-organizing feature map: A case study of Guangzhou, China

Constructing ecological security patterns (ESPs) is the ecological basis for achieving sustainable regional development. This study explored a framework of spatially balanced ESPs suitable for rapidly urbanizing areas to address the issues of overreliance on ecological land and subjective parameter settings in traditional ESP construction methods. Three ecosystem service bundles (product supply, water conservation, and habitat maintenance) were identified in Guangzhou using the self-organizing feature map method. These bundles were then used to identify multifunctional sources. The minimum size of the ecological source was determined to be 10 km2 through the “structure-pattern-function” framework, and a total of 19 ecological sources from three ecological functions were extracted. In these three scenarios, the 102 ecological corridors were classified into five categories based on their connected sources. Ecological node parameters were set based on local planning and dominant species characteristics, enhancing the explanatory power of the circuit theory. The multi-scenario ESP framework proposed in this study achieved a spatially balanced distribution of the entire region at the point, line, and surface levels, as confirmed by the ecological network assessment results. Future planning in Guangzhou should value the ecological functions of non-conventional ecological land, such as cropland and urban green spaces, while considering the impact of human activities on the environment and promptly modifying crucial node areas.

The resource curse in energy-rich regions: Evidence from China's ultra-high voltage transmission

Coordinating the energy mix transition with environmental protection is essential for reducing climate risks. Long-term fossil fuel exploitation and utilization result in increasing ecological risks in energy-rich regions. While ultra-high voltage (UHV) transmission is considered a key tool for promoting long-distance energy consumption, its ecological impact has received little attention. Using city-level panel data from 2005 to 2019 in China, this study examines the impact of UHV transmission on eco-environmental quality in energy-rich regions. The empirical results show that UHV transmission reduces eco-environmental quality in energy-rich regions. This effect is particularly pronounced in regions with more abundant fossil energy sources, underdeveloped economies, and weak environmental regulations. Mechanism analysis finds that UHV transmission promotes the expansion of power generation in energy-rich regions, followed by lagging industrial structure, weakening eco-environmental governance and intensifying resource exploitation. These findings suggest that increasing the utilization of renewable energy and strengthening environmental regulation are essential for achieving sustainable development in energy-rich regions.

Application of Fuzzy Decision Support Systems in Risk Assessment of Southeast Asian Labor Market

The labor market in Southeast Asia has several complicated issues, including the quick changes in the economy, the various behaviors of employees, and the shifting regulatory settings. To foster sustainable regional development and make decisions based on accurate information, a comprehensive risk assessment is important. Conventional methodologies, on the other hand, often fail to reflect the multifaceted personality of issues about the labor market. In light of recent economic changes and the complexity of applicable policies, this paper recommends a fuzzy decision support system to enhance risk assessment (FDSS-ERA) that could enhance risk assessment in Southeast Asian labor markets. The model methodically assesses hazards, using a mixture of fuzzy logic sense and decision assistance, incorporating changes in employment trends and demographics. The results highlight fuzzy logic’s role in decision-making for effective risk management and policy interventions, showing improved risk comprehension. While educated policy choice making can lead to equitable development in Southeast Asia’s labor work marketplace, FDSS is a potential method. In conclusion, to overcome the many obstacles that stand in the way of chance assessment in the labor market in Southeast Asia, FDSS provides a powerful strategy. Because it offers more advanced analytical tools, this research assists decision-makers in the region in developing more effective guidelines, proactively reducing risks, and achieving projects that promote sustainable development.

Spatio-temporal evolution mechanism and dynamic simulation of nitrogen and phosphorus pollution of the Yangtze River economic Belt in China

Excess nitrogen and phosphorus inputs are the main causes of aquatic environmental deterioration. Accurately quantifying and dynamically assessing the regional nitrogen and phosphorus pollution emission (NPPE) loads and influencing factors is crucial for local authorities to implement and formulate refined pollution reduction management strategies. In this study, we constructed a methodological framework for evaluating the spatio-temporal evolution mechanism and dynamic simulation of NPPE. We investigated the spatio-temporal evolution mechanism and influencing factors of NPPE in the Yangtze River Economic Belt (YREB) of China through the pollution load accounting model, spatial correlation analysis model, geographical detector model, back propagation neural network model, and trend analysis model. The results show that the NPPE inputs in the YREB exhibit a general trend of first rising and then falling, with uneven development among various cities in each province. Nonpoint sources are the largest source of land-based NPPE. Overall, positive spatial clustering of NPPE is observed in the cities of the YREB, and there is a certain enhancement in clustering. The GDP of the primary industry and cultivated area are important human activity factors affecting the spatial distribution of NPPE, with economic factors exerting the greatest influence on the NPPE. In the future, the change in NPPE in the YREB at the provincial level is slight, while the nitrogen pollution emissions at the municipal level will develop towards a polarization trend. Most cities in the middle and lower reaches of the YREB in 2035 will exhibit medium to high emissions. This study provides a scientific basis for the control of regional NPPE, and it is necessary to strengthen cooperation and coordination among cities in the future, jointly improve the nitrogen and phosphorus pollution tracing and control management system, and achieve regional sustainable development.

Envisioning sustainable rural development: A narrative on accessibility and infrastructure from a Swedish region

Infrastructure developments depend on decision makers' perceptions of the particular policy issue and a preferred future state. The complex relationship between accessibility and rural development and the long periods from problem recognition to transport infrastructure realisations bring further uncertainty into regional planning. Therefore, government and public administration tend to rely on narratives to explain the policy issue and to transfer their perspectives into the policy process. However, oversimplified narratives unduly limit the understanding of the problem and so the choice of solutions. This paper aims therefore to contribute to an understanding of the recognition of accessibility and transport infrastructure as a policy problem for sustainable regional development in rural areas. It investigates the narrative that emerges from local officials' perceptions about a future society, reasons for sustainable growth and the collaboration at the local and regional levels in central Sweden. The analysis details the four key perspectives of the narrative: local people, work and leisure, an urban neighbourhood and public transport services. The findings stress the narrative's lack of oversight and inclusion that accounts for societies' heterogeneity. In particular, the analysis expounds a remarkable faceless story that conveys a prevalent lack of understanding of stakeholder needs and the role of critical infrastructure for societal development in rural areas.

Governance Strategies for Sustainable Circular Bioeconomy Development in Europe: Insights and Typologies

This study examines governance strategies that facilitate sustainable regional circular bioeconomy development, culminating in a typology which enables the classification of regional government good practices supporting circular bioeconomy deployment in diverse regions within Europe. Data on regional circular bioeconomy governance models were collected through desk research and a survey, resulting in a compilation of 61 circular bioeconomy governance models. From this compilation, 20 case studies were identified and further explored to develop a typology of regional circular bioeconomy governance strategies in the EU-27. Findings reveal a strong regional commitment to expanding bioeconomies; however, managing conflicting sustainability goals remains a challenge. This paper provides a comprehensive overview of successful governance models and practices, offering valuable insights for policymakers to support the co-development and replication of effective circular bioeconomy strategies across diverse European regions.

Construction and Optimization of Ecological Security Pattern Network Based on the Supply–Demand Ratio of Ecosystem Services: A Study from Chengdu–Chongqing Economic Circle, China

The exploration of ecological security patterns (ESPs) can help people find those areas that are in urgent need of restoration, which is an effective way to realize ecological protection. It is of utmost significance for promoting regional sustainable development to construct ESP and put forward sub-regional optimization suggestions based on the supply and demand ratio of ecosystem services (ESs). In this paper, we assessed the level of supply and demand for five ESs based on multi-source data in 2020 with the help of InVEST, ArcGIS, and IUEMS. Based on the results of supply and demand, we calculated the supply and demand ratio of ESs and extracted the ecological source areas (ESAs) on this basis. Then, we used the Linkage Mapper tool to construct the ESP based on the principle of the minimum cumulative resistance (MCR) model and circuit theory in the Chengdu–Chongqing economic circle (CCEC). Our results indicated that there were apparent spatial differences in the supply and demand of five ESs. There were 35 ESAs in the ESP network, covering an area of about 7914 km2, and most of their land use types were woodland. The CCEC was interconnected by a network of 91 ecological corridors (ECs), spanning a total length of approximately 10,701 km. From the ECs, we extracted 29 ecological pinch points (EPPs) and 16 ecological barrier points (EBPs), which each accounted for about 0.3% of the planned area of the CCEC. Finally, we divided the ecological spaces into four types and put forward the corresponding optimization suggestions. Among them, the proportion of ecological restoration area was 7.7%, which was located in Chengdu City, northwest of the study area. The findings of this paper can give some theoretical guidance and serve as a reference for making decisions in the pursuit of ecological civilization in this region.

Collaboration Among Stakeholders in Efforts to Control Peatland Ecosystem Damage to Support Sustainable Development Goals (SDGS)

Introduction: The government's efforts to control peatland ecosystem damage are a corrective measure to improve management systems in peatland areas. This case study focuses on the KHG Kampar River – Gaung River and KHG Gaung River – Batangtuaka River in Riau Province. These locations were chosen due to their representation of peatland ecosystem restoration activities from 2017 to 2022. Theoretical Review: Hajer and Wagenaar (2003: 33-37) explain in more detail that deliberative policy is an approach in the public decision-making process that focuses on deep discussion and reflection of various views and approaches before reaching a final decision. This approach involves the active participation of various stakeholders or citizens in decision-making. Collaborative policy dialogue is an alternative approach in policy-making that is becoming increasingly relevant in the Information Age due to technological changes and globalization. Methods: Using a systematic qualitative methodology, this study adopts a descriptive approach to describe field phenomena. Result and Discussion: This study identifies stakeholders, their involvement, and the impact of their collaboration and synergy. Stakeholder collaboration is crucial for addressing peatland ecosystem management issues in these areas. The collaborations include interactions between central and local governments (provincial and district), the government and the private sector, and the government and local communities. Conclusion: Successful stakeholder collaboration has supported the region's sustainable development goals (SDGs). Four pillars were achieved in the efforts to control peatland ecosystem damage: the social pillar, the economic pillar, the environmental pillar, and the governance pillar.

Can the Water Resource Fee-to-Tax Reform Promote the “Three-Wheel Drive” of Corporate Green Energy-Saving Innovations? Quasi-Natural Experimental Evidence from China

The long-standing, unrestrained utilization of energy resources by China’s manufacturing sector has created irreversible obstacles to regional sustainable development. Consequently, the Chinese government has implemented a water resource tax policy in certain regions, with the aim of compelling manufacturing enterprises to adopt green and energy-saving innovations. This study used panel data from Chinese manufacturing companies listed on the A-share market from 2009 to 2020 and employed a double machine learning model to explore whether the water resource fee-to-tax reform can compel enterprises to enhance their tripartite green energy-saving innovation drive. These innovations consist of vision-driven and mission-driven green energy-saving technological innovations and green management energy-saving innovations. Following a quasi-natural experiment, our findings revealed the following: (1) The water resource fee-to-tax policy promoted the internal coupling coordination of the triple-driven system. (2) The policy compelled progress in mission-driven green energy-saving technological innovations and green energy-saving management innovations but hindered vision-driven green energy-saving technological innovations. (3) Within the internal systems of manufacturing enterprises, green energy-saving management innovations play a positive mediating role between the water resource fee-to-tax policy and the mission-driven green energy-saving technology innovation subsystem, but they lack a similar positive mediating mechanism for the vision-driven green energy-saving technology innovation subsystem. (4) The counterfactual framework verified that the mechanistic pathway “water resource fee-to-tax → green energy-saving management innovation → mission-driven/vision-driven green energy-saving technological innovation” could be further extended to other manufacturing enterprises not currently under policy compulsion. (5) In the interaction system between manufacturing enterprises and external markets, the development of marketization and financial technology positively regulated the promoting effect of the water resource fee-to-tax policy on mission-driven green energy-saving technological innovations and green energy-saving management innovations, but it did not have a similar effect on vision-driven green energy-saving technological innovations.

Evaluating the Effect of Fiscal Support for Agriculture on Three-Industry Integration in Rural China

The integration of the primary, secondary, and tertiary industries in rural areas, known as three-industry integration, is a crucial strategy for developing rural industries and implementing the rural revitalization initiative in China. The government’s fiscal support for agriculture serves as a cornerstone for the sustainable development of agriculture and rural regions. This study investigates the mechanisms through which fiscal support for agriculture facilitates the integration of the rural three-industry sectors by driving industrial innovation, enhancing the circulation of production factors, and optimizing resource utilization in rural areas. Using panel data from 30 provinces in China spanning from 2008 to 2020, we evaluate the level of three-industry integration in rural areas using an entropy method and analyze the effects of fiscal support for agriculture on this integration. Our findings reveal that: (1) fiscal support for agriculture significantly promotes the incorporated development of rural three-industry integration in China by acting as a catalyst for horizontal and vertical integration; (2) fiscal support enhances rural infrastructure quality, fosters market connectivity, and attracts business clusters, while also optimizing factor markets and facilitating the efficient allocation of land, finance, and resources, thereby enabling new business entities, such as leading enterprises, to benefit from economies of scale and to expand the rural industrial value chain; (3) the effects of fiscal support for agriculture exhibit significant regional and agricultural development heterogeneity, with Central China and major agricultural provinces demonstrating the most pronounced role in promoting rural three-industry integration.

Spatial Vulnerability Assessment for Mountain Cities Based on the GA-BP Neural Network: A Case Study in Linzhou, Henan, China

Mountain cities with complex topographies have always been highly vulnerable areas to global environmental change, prone to geological hazards, climate change, and human activities. Exploring and analyzing the vulnerability of coupling systems in mountain cities is highly important for improving regional resilience and promoting sustainable regional development. Therefore, a comprehensive framework for assessing the spatial vulnerability of mountain cities is proposed. A vulnerability assessment index system is constructed using three functional systems, ecological protection, agricultural production, and urban construction. Subsequently, the BP neural network and the genetic algorithm (GA) are combined to establish a vulnerability assessment model, and geographically weighted regression (GWR) is introduced to analyze the spatial influence of one-dimensional systems on the coupling system. Linzhou, a typical mountain city at the boundary between China’s second- and third-step terrains, was selected as a case study to demonstrate the feasibility of the framework. The results showed that the vulnerability of the ecological protection system was highly aggregated in the east–central region, that of the agricultural production system was high in the west, and that of the urban construction system was low in the central region and high in the northwestern region. The coupling system vulnerability was characterized by multispatial distribution. The complex topography and geomorphology and the resulting natural hazards are the underlying causes of the vulnerability results. The impact of ecological and urban systems on the coupling system vulnerability is more prominent. The proposed framework can serve as a reference for vulnerability assessments of other similar mountain cities with stepped topographies to support the formulation of sustainable development strategies.

RETRACTION: Measuring the management of natural resources and regional sustainable development: Mediating role of green finance in China

RETRACTION: M. Tao, B. Zhang, G.B.A. Kizi, “Measuring the management of natural resources and regional sustainable development: Mediating role of green finance in China,” Geological Journal 58, no. 9 (2023): 3278–3287, https://doi.org/10.1002/gj.4820.The above article, published online on 13 July 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal's Editors in Chief, Ian D. Somerville and Yunpeng Dong; and John Wiley &amp; Sons Ltd. The retraction has been agreed following concerns raised by a third party. Further investigation by the publisher has found manipulation of the peer review process. The retraction is warranted due to the compromised integrity of the article's peer review.