Regional Sustainable Development Research Articles

ТРАНСПОРТНЫЕ КОРИДОРЫ ЦЕНТРАЛЬНОЙ АЗИИ В СОЦИАЛЬНО-ЭКОЛОГИЧЕСКОМ ИЗМЕРЕНИИ

The article examines the socio-ecological aspects of creating transport corridors in Central Asia in the modern context. The region's unique geographical position has long attracted attention, becoming a key link between East and West, particularly along the historical Silk Road. In this regard, the environmental optimization of transport corridors is crucial for sustainable regional development. However, the increase in freight traffic amplifies human impact on the environment, leading to air, water, and soil pollution, as well as changes in the soil's chemical composition and microflora. The article offers recommendations to minimize the negative effects of multimodal transport corridors on the region’s ecosystem, a necessary step toward balancing economic growth with environmental preservation.

Spatio-temporal patterns and driving factors of green development level in alpine meadow regions: A case study in Gannan Tibetan Autonomous Prefecture

Green development is an approach that harmonizes human beings with nature and leads to sustainable social and economic development. However, the factors influencing the level of green development are uncertain due to regional differences, especially in the alpine meadow regions. To explore the factors affecting green development in the alpine meadow region, we took the Gannan Tibetan Autonomous Prefecture as an example. Through a green development level evaluation index system, the DPSIR (Driver, Pressure, State, Impact, and Response) was constructed to comprehensively evaluate and analyze the green development level of the study area from 1990 to 2020. On this basis, the key influencing factors of the green development level was analyzed based on the GeoDetector. The findings indicate that the total level of green development in Gannan has an upward trend within the range of 0.044–0.535, moving towards high quality and sustainable development. Except for 2005, the spatial clustering characteristics of the green development level did not display obvious high values of spatial autocorrelation. The green development space is concentrated and stable, and the centre of gravity is in Zhuoni. The impact and response dimensions make the greatest contribution to green development. Different evaluation indicators have different impacts on green development during the study period. Specifically, people’s productive lives, the impact of social production and positive policy responses are the main factors contributing to green development. The findings will provide theoretical basis and case support for ecological security and green sustainable development in the alpine meadow regions.

Traditions and Perspectives for the Development of the Vineyarding Sector in Bulgaria

The present study is devoted to the dynamics of development of viticulture in Bulgaria during the 2014-2022 period. An international comparison which includes the leading countries worldwide has been made as well. The aim is to establish the state and development of viticulture and its prospects through the prism of the available prerequisites and the formed competition in global markets. Favorable natural, scientific and personnel conditions have been established, as well as rich traditions. The relative share of the harvested areas is strikingly low, which hides opportunities to increase the amount of harvested grapes without significantly increasing the area of the vineyards. There is a developed regulatory framework, the implementation of which would contribute to the prosperity of the sector and ensure the sustainable development of the semi-mountainous regions that are suitable for growing vineyards.

Study on the Value of Ecosystem Services and Land Use Change in the Area North of the Tianshan Mountains from 2000 to 2020

The northern Tianshans region in the arid zone of northwestern China plays a key role in promoting high-quality development of the ecological environment. In recent years, ecological environmental protection in this region has encountered major challenges due to the dual impacts of human activities and natural changes. In order to accurately assess the current status of the ecological environment in the northern Tianshans, this study analyzed the spatial and temporal changes in land use and ecological and environmental effects using land use data from 2000 to 2020 and explored the current status of land use, land use dynamic process, and ecosystem service value (ESV) in the region. Two-factor spatial autocorrelation analysis revealed the spatio-temporal characteristics of the value changes over the 20-year period as well as their spatial heterogeneity. The results show that: (1) land use changes are dominated by increases in cultivated land, forest land, watershed, and wetland, and decreases in grassland, glacier snow, and bare land. Of these changes, the expansion of cultivated land area is the most significant, showing a total increase of 1136.13 × 103 hm2. (2) The ESV increased and then decreased, reaching the highest value in 2005 and the lowest in 2020. The value of individual ecosystem services is dominated by regulating services, accounting for about 67% of the total value. (3) The overall regional balance of ecological environment quality and the contribution rate of the conversion from bare land to other land types is as high as 82.7986%, constituting the main factor in regional ecological environment improvement. The spatial distribution pattern exhibits the characteristic of “high in the northeast and low in the southwest”. (4) There is a positive correlation between the ESV, the Normalized Difference Vegetation Index (NDVI), and the Anthropogenic Impact Composite Index, with the NDVI being the main cause of spatial heterogeneity in the ESV. The research results provide a scientific basis for ecological protection, land management, and policy formulation in the northern foothills of the Tianshan Mountains and are of great significance for promoting regional sustainable development.

Does Low-Carbon Transition Promote Regional Sustainable Development? Evidence from the Huaihe River Ecological Economic Belt

The Chinese government has adopted a significant low-carbon transition strategy aimed at enhancing resource efficiency, advancing ecological conservation, and augmenting societal well-being. This research employs the super efficiency SBM model to evaluate the ecological well-being performance (EWP) within the Huaihe River Ecological Economic Belt. Subsequently, it employs the Sys-GMM model and conducts a threshold effect analysis to regressively examine the impact of the low-carbon transition on EWP. The key findings are as follows. The EWP in the Huaihe River Ecological Economic Belt is relatively low; cities with higher economic development levels tend to exhibit lower EWP scores. The impact of the low-carbon transition on EWP is contingent upon the level of regional economic development and exhibits a singular threshold effect predicated on the economic development level as the threshold variable. Specifically, when economic development is at a low level, an intensification of the low-carbon transition results in a decline in EWP within the Huaihe River Ecological Economic Belt. Conversely, when the economic development level surpasses the threshold, the low-carbon transition facilitates the enhancement of EWP. This study’s principal contribution lies in elucidating the intricate relationship between the low-carbon transition and sustainable development.

Challenges of sustainable development of regions and rural tourism in Georgia

The paper discusses the type of rural tourism as an independent direction, especially its importance in the mountainous part of Georgia. This priority direction in regional tourism includes such important aspects as orientation of tourists to the consumption of ecological resources, protection of the natural environment, preservation of traditional lifestyle for the population of peripheral regions. It is confirmed that rural tourism in the modern world is considered by specialists to be the most promising field of employment for the rural population. It should be noted that the development of tourism business in rural areas will contribute to solving socio-economic problems, reducing unemployment and raising the standard of living. The purpose of the study is to reveal the possibilities of rural tourism development in the mountainous areas of Georgia, which will bring the results of sustainable development to the region and the local community.

A Simulation-Based Prediction of Land Use Change Impacts on Carbon Storage from a Regional Imbalance Perspective: A Case Study of Hunan Province, China

Land use imbalances are a critical driving factor contributing to regional disparities in carbon storage (CS). As a significant component of China’s Yangtze River Economic Belt, Hunan Province has undergone substantial shifts in land use types, resulting in an uneven distribution of ecosystem CS and sequestration capacity. Therefore, within the framework of the “dual carbon” strategy, examining the effects of land use changes driven by regional resource imbalances on CS holds practical importance for advancing regional sustainable development. This study focuses on Hunan Province, utilizing the PLUS-InVEST model to assess the spatiotemporal evolution of CS under land use changes from 1990 to 2020. Additionally, multiple scenario-based development modes were employed to predict county-level CS. The results indicate the following: (1) From 1990 to 2020, Hunan Province experienced continuous urban expansion, with forest land and cultivated land, which are core ecological land types, being converted into construction land. (2) Over these 30 years, the province’s total CS increased by 2.47 × 108 t, with significant spatial differentiation. High-value zones were concentrated in bands along the province’s borders, while lower values were observed in the central and northern regions. The highest CS values were recorded in forested areas at the province’s periphery, whereas the lowest values were observed in the northern water bodies. (3) The scenario-based predictions revealed notable differences, with the ecological protection scenario demonstrating a substantial carbon sink effect. By prioritizing forest and cultivated land, CS could be maximized. This research provides valuable insights for enhancing CS and optimizing land use structures in regions facing resource imbalances.

Spatial heterogeneity of ecosystem service bundles and the driving factors in the Beijing-Tianjin-Hebei region

Defining a multi-service spatial pattern and ecosystem packages is the key to ensuring regional ecological security and sustainable development. Ecosystem service bundles can effectively discern the interactions among multiple services and regionalize ecological functional zones. Aiming at a range of environmental and ecological challenges in the Beijing-Tianjin-Hebei region, such as water scarcity, soil erosion, land degradation, poor forest and grassland quality, and shrinking agricultural land, the spatial pattern and driving forces of eight crux ecosystem services, including product supply, soil conservation, water conservation, carbon storage, sand fixation, environment purification, biological diversity and recreation culture, were analyzed by combining multiple model algorithms. Additionally, spatial system clustering was employed to identify ecosystem services bundles and optimize the ecological functional zoning. The results revealed significant spatial heterogeneity of the eight ecosystem services in the Beijing-Tianjin-Hebei region. High product supply concentrated in plain regions, while the rest seven ecosystem services were dominant in in mountainous areas. The region can be classified into four service bundles: ecological conservation service (ECS), ecological restoration service (ERS), product supply service (PSS) and ecological fragile service (EFS). ECS and ERS are dominated by regulating and supporting services, which are primarily driven by climatic factors and NDVI. ERS exhibits relatively low service level and is the crucial area for future ecological restoration. PSS is dominated by food supply, with land use change being the primary driving force. At present, with the rapid urbanization, various ecosystem services provided by EFS is inadequate. In the future, urban ecological construction should be strengthened to enhance regional ecosystem services capabilities.

Responses of soil properties and foliar traits of a dominant tree species Pseudotsuga sinensis to rocky desertification in a karst ecosystem

Rocky desertification is a prevalent environmental challenge across karst landscapes that hinders regional sustainable development. Understanding how soil properties and plant traits respond to increasing levels of rocky desertification is crucial for developing effective restoration strategies. Here, we investigated soil characteristics and intraspecific leaf stoichiometric traits of Pseudotsuga sinensis across a gradient of rocky desertification in a karst ecosystem. We employed principal component analysis to assess changes in soil properties and leaf chemical traits and used leaf trait network analysis to explore shifts in trait network topology. Our results revealed that severe desertification sites had soil with high bulk density and pH, and low levels of available nitrogen, phosphorus, magnesium, as well as soil organic carbon. Leaf stoichiometry shifted markedly along the gradient, with elevated nitrogen limitation and cation imbalance in degraded sites. Trait network analysis showed that network diameter and modularity increased while connectance decreased with rocky desertification, indicating reduced integration among traits. On the other hand, higher adaptation capacity to environmental harshness under moderate level of rocky desertification was also observed. These findings suggest that both soil properties and leaf traits would experience substantial shifts across rocky desertification gradient, with increasing functional fragmentation and nutrient limitation as degradation intensifies. Based on our results, we propose management strategies targeted to different levels of rocky desertification to mitigate its negative impacts and promote ecosystem recovery.

Measurement and Analysis of Carbon Emission Efficiency in the Three Urban Agglomerations of China

China aims to reduce its carbon emissions to achieve carbon peaking and neutrality. Measuring the carbon emission efficiency of three urban agglomerations in China, exploring their spatiotemporal characteristics, and investigating the main influencing factors are crucial for achieving regional sustainable development and dual carbon goals. Using the super-slack-based measurement (super-SBM) model, we calculated the carbon emission efficiency of the Beijing–Tianjin–Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) urban agglomerations from 2011 to 2021 and explored the spatiotemporal non-equilibrium characteristics of carbon emission efficiency and its influencing factors. The results indicated that: (1) Overall, the carbon emission efficiency showed an N-type trend, with the PRD having the highest average efficiency. Regional differences between the YRD and BTH regions gradually increased. (2) The efficiency hotspots shifted from the PRD to the YRD, whereas the cold spots were mainly concentrated in the BTH region. The variation in the standard deviation ellipse radius of carbon emission efficiency in the urban agglomerations was clear, and the spatial disequilibrium was significant. (3) Economic level and opening up had positive impacts on carbon emission efficiency, whereas energy intensity and industrial structure had negative impacts. The effects of population size, government intervention, and technological level varied among the regions.

FORMATION OF A SYSTEM FOR ASSESSING THE EFFECTIVENESS OF INNOVATIVE DEVELOPMENT OF LOGISTICS ACTIVITIES OF MOTOR TRANSPORT ENTERPRISES ENGAGED IN FREIGHT TRANSPORTATION IN TERMS OF SUSTAINABLE DEVELOPMENT

The article discusses the importance of implementing innovations at road transport enterprises in the context of achieving the region's sustainable development goals. The author emphasizes that road transport enterprises are significant sources of harmful emissions and environmental pollution, so using innovative technologies, such as electric vehicles, hybrid cars, and alternative fuels, is an important tool for reducing the negative environmental impact. In particular, these technologies help to reduce greenhouse gas emissions and other harmful substances, which is in line with Sustainable Development Goals 7 (access to modern energy), 13 (combating climate change), and 15 (protecting terrestrial ecosystems). In addition, innovations in transport technologies, such as automated driving systems, help to improve road safety and reduce the number of road accidents, which is in line with Goal 3 (good health and well-being). The creation of new jobs and infrastructure development through the construction of electric charging stations and the introduction of intelligent transport systems (smart cities) are also linked to Sustainable Development Goals 9 (sustainable infrastructure) and 11 (sustainable urban development). The author analyses the performance indicators of innovations at motor transport enterprises, taking into account economic, social, and environmental aspects. Particular emphasis is placed on the adaptation of these indicators to the current realities of Ukraine. Using game theory, the article develops a model for the selection of optimal strategies for motor transport enterprises and the region. This model allows us to find the Nash equilibrium - a situation where both parties achieve the optimal result. Enterprises that implement innovations not only improve their own performance indicators, but also contribute to the achievement of sustainable development goals of the region. The article also presents two sets of strategies: for the development of logistics activities of a motor transport enterprise and the sustainable development of the region. Both approaches aim to comprehensively improve the region's environmental, economic, and social situation. The conclusions emphasize the importance of implementing innovation development assessment systems as a tool for making strategic decisions and improving the efficiency of logistics operations.

Comprehensive biodiversity assessment of flora and fauna along the Kedah coastline: Implications for conservation and sustainable management

Preserving the unique ecosystems of specific coastal areas is crucial for environmental health and the welfare of local communities. This study explores the rich biodiversity of flora and fauna along the Kedah state coastline, a 440 km stretch along the Strait of Malacca. Through meticulous site surveys and comprehensive data collection across multiple locations, followed by laboratory analyses, this research reveals a vibrant tapestry of life. The Kedah coastal area boasts a remarkable diversity, with 60 fish species identified, predominantly from the Carangidae (12 %) and Mugilidae (10 %) families. Additionally, five marine mammal species were documented, though turtles and terrapins were notably absent. The condition of coral reefs varied, with "fair" conditions observed at stations St-1 and St-2 (31.67 % and 35.67 % live coral, respectively), and "poor" conditions at St-3 (10.67 % live coral). High densities of phytoplankton, zooplankton, macrobenthos, and seaweed were recorded, whereas seagrass vegetation was absent. The study on Kedah’s coastal flora and fauna revealed a diverse range of species, including fish, marine mammals, corals, phytoplankton, zooplankton, macrobenthos, and seaweed. Coral reefs were found to be in varying conditions, with some needing restoration. The study recommends long-term monitoring, seasonal surveys, and focused research on key species. Habitat protection, community awareness, and sustainable practices are also emphasized to preserve the ecological balance of these marine environments. Moreover, the findings of this study provide a critical understanding of the Kedah coastal ecosystem and offer valuable insights for local authorities to develop effective conservation strategies. This research underscores the importance of preserving biodiversity to maintain ecological balance and support sustainable development in coastal regions.

Assessing Trade-Offs and Synergies in Ecosystem Services within the Tianshan Mountainous Region

In managing ecosystem services (ESs), it is vital to understand and effectively regulate the trade-offs and synergies (ToSs) involved. This study investigates the Tianshan Mountains (TSMs), utilizing the InVEST (Integrated Valuation of ESs and Tradeoffs) model to evaluate ecosystem service changes from 2000 to 2020, while employing univariate linear regression to examine their spatiotemporal dynamics. Pearson correlation analysis was also conducted to assess how climatic variables (temperature and precipitation) and vegetation indicators (NDVI, normalized difference vegetation index) influence the overall ecosystem service benefits. The findings reveal notable spatial heterogeneity and dynamic shifts in ESs across the TSMs, with strong synergies observed between carbon storage (CS) and other services (such as habitat quality, HQ; soil conservation, SC; and water yield, WY), especially in areas experiencing increased vegetation. However, the connection between HQ and WY was comparatively weaker and occasionally exhibited negative correlations during specific periods, highlighting the intricate trade-offs among various services. The correlation analysis further showed that climate and vegetation changes significantly impact ecosystem service benefits, with declining precipitation and rising temperatures reducing these benefits, whereas higher NDVI was associated with improved service functions. Ultimately, this study emphasizes the necessity of recognizing and managing ToSs in ESs to promote sustainable regional ecosystem development.

Spatio-temporal Evolution of Coupling Coordination Degree between Urbanization and Tourism Industry: A Case Study of Rural Revitalization Strategy of the Wuling Mountain Area in Central China

China is currently at a critical juncture in implementing the rural revitalization strategy, with urbanization and tourism development as crucial components. This study investigates 41 counties (cities) in the Wuling Mountain area of central China, constructing an evaluation system for the coordinated development of these two sectors. The coupling coordination degree is calculated using a combination weighting method and the coupling coordination degree model. Spatio-temporal evolution characteristics are analyzed through spatial autocorrelation, while the geographic detector explores the driving factors of spatial variation. The findings reveal a significant increase in coupling coordination between urbanization and tourism, transitioning towards a coordinated phase. Spatially, urbanization and tourism exhibit positive correlations, with high-value clusters in the southeast and northwest and low-value clusters in the south. The geographical detector identifies industrial factors as the most critical drivers of spatial variation. This study offers novel insights into the dynamics of urbanization and tourism, contributing to the broader literature by providing practical implications for regional planning and sustainable development. The results are relevant to the Wuling Mountain area and serve as a reference for similar regions globally. However, the study has certain limitations, such as regional specificity and data availability, which should be considered in the context of this research.

Optimizing Urban Technological Innovation through GGFs: A Systemic and Spatial Analysis

The implementation of the Government Guides Funds (GGFs) policy by China’s government plays an important role in guiding domestic private capital to participate in innovation and entrepreneurship activities. This study empirically analyzed the impact of GGFs in facilitating the domestic optimization process of urban innovation in China. Based on panel data from 285 cities from 2008 to 2021, this study uses the Spatial Durbin Model (SDM) to verify the impact of GGFs on urban innovation and its mechanism. The findings reveal that GGFs exert a positive influence on the urban innovation of both the immediate regions and the neighboring areas of the policy-origin city. The effectiveness of GGFs varies geographically, with more pronounced spatial spillover impacts observed in the eastern regions of China. Further research shows that industrial upgrading amplifies the direct impact of GGFs on urban innovation, while its indirect effectiveness is not significant. Finally, based on empirical findings, this study also underscores the necessity of local governments in tailoring the management of GGFs to local conditions and promoting sustainable urban innovation and regional development. Our findings provide noteworthy implications for governmental administrators and regulators in promoting the systemic optimization of GGFs operations within the context of sustainable urban development.

Relevance of the “Polar Index” Project for Sustainable Development of the Russian Sector of the Arctic Zone

Introduction. The following study answers the question whether the “Polar Index” project is a reliable reflection of the development of the Russian Arctic region in the field of sustainable development. Within the framework of this scientific work, the analysis of the general methodology for calculating the "Polar Index" assigned to each of the companies operating in the Russian Arctic was carried out. The analysis made it possible to understand the logic of assigning an organization to one of the three groups, depending on how active its sustainable development policy is.Materials and methods. The materials used in the given article include studies of Russian scientists devoted to sustainable development of the Arctic region, as well as the materials published on the official web-sites of Russian energy companies. In terms of research methodology, the article pays special attention to event analysis aimed at identifying and interpreting key activities and projects that are implemented by Russian companies in the Arctic zone within the framework of sustainable economic, social and environmental development. In order to do this, three Russian energy companies of different levels of participation in the development of the region were selected. Next, for each of these companies, an analysis of its actions and development strategy regarding the Russian segment of the Arctic was carried out.Results of the study. The comparison of the assessment of Russian energy companies’ activities based on the Polar Index and the conclusions regarding the effectiveness of their activities obtained as a result of the event analysis proves that the Polar Index project indeed reflects the effectiveness of the activities of Russian companies in the Arctic region, as well as the degree of their involvement in sustainable development of the polar region in question, with a high degree of reliability.Discussion and conclusion. The research revealed Russian companies, the activities of which to a substantial degree comply with all the three criteria of sustainable development, namely, economic, ecological, and social. That being said, relevant scientific research on the given subject demonstrates that the companies, which managed to achieve the best results in the given sphere, are Rosneft, Norilsky Nikel and Gaspromneft.

Evaluation and Trade-Offs/Synergies of Ecosystem Services in an Ecologically Fragile Region: A Case Study of Western Jilin Province

Ecosystem services (ES) are the foundation for the survival and development of human society. It is of great significance to clarify the trade-off and synergy between different types of ES in promoting regional sustainable development. This paper selects the western Jilin Province as a case, focusing on exploring the trade-offs and synergies of ES in ecologically fragile areas, enriching the geographical types of research on the relationships between ecosystem services. Utilizing the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, this study focused on quantifying four pivotal services—carbon storage, water yield, soil conservation, and habitat quality index—over a two-decade span encompassing the years 2000, 2010, and 2020, and analyzed the trade-offs/synergies between the four ecosystem service functions. The results show that from 2000 to 2020, among the four ecosystem services, water yield and soil conservation increased by 13.57 × 109 m3 and 220.61 × 106 t, respectively, while carbon storage and habitat quality decreased by 5.09 × 106 milligrams and 0.01 units, respectively. At the regional scale, there were only synergistic relationships between carbon storage and soil conservation, and carbon storage and habitat quality. This study provides scientific references to promote sustainable development in the western Jilin Province and offers new insights into the trade-off and synergy of ecosystem services in ecologically fragile areas.

Potential of Hyperspectral Data Combined With Optimal Band Combination Algorithm for Estimating Soil Organic Carbon Content in Lakeside Oasis

ABSTRACTAccurate estimation of soil organic carbon (SOC) content is essential for promoting regional sustainable agriculture and improving land quality. Visible and near‐infrared (Vis‐NIR) near‐Earth remote sensing spectroscopy has become an effective alternative to the traditional time‐consuming and costly methods due to its high‐resolution and nondestructive application, but it is vulnerable to the redundancy of spectral information and the overlap between bands. This study delves into the potential of optimal spectral parameters for estimating SOC in arid lakeside oases, using Bosten Lake in Xinjiang, China, as a focal point. Soil samples (0–10 cm, 10–20 cm, 20–30 cm, 30–40 cm) were collected, and their SOC content and hyperspectral reflectance were measured. The spectral data underwent preprocessing techniques, including continuum removal (CR), standard normal variate (SNV), and continuous wavelet transform (CWT). SOC content was predicted using back propagation neural network models constructed based on one‐dimensional (1D), two‐dimensional (2D), and three‐dimensional (3D) correlation coefficients. Results showcased the effectiveness of the CWT method in accentuating potential spectral information and enhancing variable correlation. Among the indices, 3D exhibited the highest performance (R2 = 0.82, RPD = 2.02 for TDI‐1 at 0–10 cm; R2 = 0.85, RPD = 2.28 for TDI‐2 at 10–20 cm; R2 = 0.83, RPD = 2.24 for TDI‐1 at 20–30 cm; R2 = 0.86, RPD = 2.53 for TDI‐4 at 30–40 cm), followed by 2D and then 1D. These insights offer guidance for future strategies in hyperspectral data preprocessing and spectral index determination, facilitating SOC spatial distribution mapping and advancing sustainable agricultural planning. They also have implications for determining the spatial distribution of SOC content based on spatial interpolation, which would contribute to regional agricultural planning and sustainable development.

Artificial Intelligence: Contributions to Efficiency and Sustainability in the Court of Justice of The State of Goiás

Objective: To present analyses related to the integration between Artificial Intelligence (AI) and Sustainable Regional Development (SRD) regarding the expansion of access to justice, based on the experience of the Court of Justice of the State of Goiás (TJGO). Theoretical Framework: Advanced technologies in the Judicial System and their contribution to global sustainability, as well as implications for the formulation of public policies for the responsible integration of AI in judicial processes. Methodology: Qualitative and quantitative analysis of data acquired from research, bibliographical and documentary from Reports and Resolutions of the Court of Justice of Goiás – TJGO and National Council of Justice – CNJ, and literature related to AI and Sustainable Regional Development – SRD, about the relationship between sustainability, SRD and AI; the implementation of AI in Brazilian courts, with emphasis on the guidelines of the CNJ (TJGO); the evolution and impact of AI regulations in the Brazilian Judiciary (TJGO); and the effective use of AI in the context of TJGO and other Brazilian courts. Results and Discussion: As a result of this research, we have identified an improvement in procedural efficiency in the judicial system (in access to justice), based on the implementation of AI, especially for vulnerable groups. Implications of the research: The functionality and dynamism of the social and environmental spheres require studies and analyses that assist in the integration for development based on the balanced alignment between both. In this sense, it is important to direct efforts to identify how and to what extent technological advances can be useful for social development, in this case, based on the practices developed by TJGO. Originality/Value: This study presents recent information and analyses on strategies and practices of the Brazilian Judiciary for the integration of Artificial Intelligence and Sustainable Regional Development regarding the expansion of access to justice, based on the experience of the Court of Justice of the State of Goiás (TJGO).

Scenario Simulation and Efficiency Study of Hydropower Development to Promote Regional Sustainable Development: An Empirical Analysis of a Province in Southwestern China

Hydropower is a significant component of China’s contemporary energy framework, with its construction and operation critically contributing to the advancement of sustainable development in the region. However, the influence of hydropower development on regional sustainable development is not evident, and the course of its effect is not clear. In this work, on the basis of assessing the effect of hydropower development on regional sustainable development, a system dynamics (SD) simulation model was created, and 15 distinct development modes were set and tested. The relative driving efficiency of hydropower growth on sustainable development in a province in Southwest China under several scenarios was assessed using the super-efficiency-slacks-based measurement (Super-SBM), and an efficiency analysis was undertaken. The study’s findings demonstrate that: (1) Hydropower development had a complex driving influence on sustainable development in the province in 2015–2022. (2) The relative driving efficiency of the province over the study period exhibited a changing pattern and was at a high level greater than 0.7. (3) New hydropower investment and hydropower generation are the major factors impacting the relative driving efficiency of hydropower development on regional sustainable development in the province. The study’s findings provide a platform and reference for supporting regional sustainable development through hydropower development.