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One of the key conditions for achieving superior regional growth is ensuring the harmonious development of both the layout and functions of territorial space. Territorial space, which includes production space, living space, and ecological space, serves as a critical system and venue for economic, cultural, and social activities in a region. The harmonized growth of production–living–ecological space (PLES) is essential for attaining sustainable development goals. Research on PLES offers a fresh perspective on promoting sustainable development of the spatial domain and the sustainable use of resources. However, studies on PLE functions in ecologically fragile areas are lacking. Therefore, in this study, which adopts a PLES perspective, land-use data are used to classify land according to the dominant functions of production, ecology, and living. Integration of point-of-interest (POI) data with socio-economic data was established to spatially describe indicators at the grid level and create a scoring system for PLES indicators in ecologically fragile areas. Finally, the entropy weight method, holistic assessment methods, coupling coordination degree model (CCDM), and geodetector were employed to explore the coupling coordination relationships and factors influencing PLESs in the Turpan–Hami Basin from 2010 to 2020. The results indicate that the Turpan–Hami Basin consists predominantly of potential ecological space, mainly in the central and northern regions, which are characterized by the Gobi Desert and bare rock landforms. Over the past decade, the PLES framework has seen a notable rise in the allocation of residential and ecological areas, whereas the portion dedicated to production spaces has diminished. The overall coupling coordination degree (CCD) of PLES in the Turpan–Hami Basin is at a coordinated level and gradually increasing. The most significant impact on the degree of PLES coupling coordination is exerted by population and natural factors. The research findings provide theoretical support for the sustainable utilization of resources in the Turpan–Hami Basin and other ecologically fragile areas while also offering scientific evidence to promote the coupling coordination of PLES, thereby contributing to high-quality regional development. [ABSTRACT FROM AUTHOR]

China's economy is transitioning from high-speed to high-quality development, making coordination between economic factors increasingly important. Human capital (HC) and infrastructure (INFRA) are important elements of economic development, and the coupling coordination of the two can have a non-negligible impact on regional economies' high-quality development. Therefore, this study measures the coupling coordination degree (CCD) of HC and INFRA based on data of 184 prefecture-level cities in China from 2011 to 2019, and comprehensively examines the impact effect and mechanism of the CCD on high-quality economic development (HQED). The relevant results are threefold. (1) Compared with single factors, the degree of HC-INFRA CCD can promote HQED more efficiently. (2) A significant single-threshold effect is evident in the promotion of HQED by the degree of HC-INFRA CCD, and a smaller city size and more extensive higher education institutions promote a stronger threshold effect. (3) Factor allocation and factor efficiency are significant transmission mechanisms of the HC-INFRA CCD affecting HQED, and the mediating effect of the capital-labor force allocation path accounts for 66.28% of the total indirect effect. The results provide empirical evidence verifying that HC-INFRA CCD promotes HQED, along with insightful reference suggestions for formulating relevant macro policies and promoting high-quality urban economic development. [ABSTRACT FROM AUTHOR]

Pseudo human settlements in the information age is an important part of human settlements geography, which has a comprehensive and profound impact on urban production, life and ecology in China and even the world, but the existing research on pseudo human settlements is still unclear, and cannot meet the requirements of China's "digital-realistic fusion", "network power" and the construction of a beautiful China. Therefore, this paper starts from the perspective of pseudo, based on the theory of the coupling system of human settlements, and applies the entropy weight method, coupling coordination model, geodetector and other methods and spatial technologies to deeply analyze the spatial and temporal evolution of the pseudo human settlements and the driving mechanism of the 14 cities in Liaoning Province from 2011 to 2020. The results show that: 1) Liaoning Province's pseudo human settlements in the time evolution of the overall quality of the main theme of the rise, with the "Internet festival" node effect and significant stage. 2) The spatial distribution is characterized by the geographical layout of "1?-type high-quality development centers and concentric-circle spatial distribution; and the trend surface shows a low uniformity pattern of "high in the south-central part and low in the surrounding area". 3) The degree of system coupling and the degree of coupling coordination both show a fluctuating upward trend, with the spatial heterogeneity characteristic of "high in the central part and low in the surrounding area". 4) Tool system has become the emerging driving force, communication and social chat has become the basic driving force, and life service is the invisible driving force; communication class and community class are the important leading driving factors. The study aims to enrich the research system of human settlements, promote the development of the discipline of human settlements geography, provide a new basis for the construction of human settlements in the new era, and respond to the demand for decision-making in the strategy of network power. [ABSTRACT FROM AUTHOR]

Pseudo human settlements in the information age is an important part of human settlements geography, which has a comprehensive and profound impact on urban production, life and ecology in China and even the world, but the existing research on pseudo human settlements is still unclear, and cannot meet the requirements of China's "digital-realistic fusion", "network power" and the construction of a beautiful China. Therefore, this paper starts from the perspective of pseudo, based on the theory of the coupling system of human settlements, and applies the entropy weight method, coupling coordination model, geodetector and other methods and spatial technologies to deeply analyze the spatial and temporal evolution of the pseudo human settlements and the driving mechanism of the 14 cities in Liaoning Province from 2011 to 2020. The results show that: 1) Liaoning Province's pseudo human settlements in the time evolution of the overall quality of the main theme of the rise, with the "Internet festival" node effect and significant stage. 2) The spatial distribution is characterized by the geographical layout of "1"-type high-quality development centers and concentric-circle spatial distribution; and the trend surface shows a low uniformity pattern of "high in the south-central part and low in the surrounding area". 3) The degree of system coupling and the degree of coupling coordination both show a fluctuating upward trend, with the spatial heterogeneity characteristic of "high in the central part and low in the surrounding area". 4) Tool system has become the emerging driving force, communication and social chat has become the basic driving force, and life service is the invisible driving force; communication class and community class are the important leading driving factors. The study aims to enrich the research system of human settlements, promote the development of the discipline of human settlements geography, provide a new basis for the construction of human settlements in the new era, and respond to the demand for decision-making in the strategy of network power. [ABSTRACT FROM AUTHOR]

Quantitatively assessing the carrying capacity of water and land resources systems in arid and semi-arid areas is crucial for achieving the 2030 Sustainable Development Goals. In this work, taking Yulin City in China as a case study and employing the Criteria Importance Through Intercriteria Correlation (CRITIC) method, a modified model of coupling degree was developed to evaluate the carrying capacity of water and land resources systems endowment and utilization, as well as their coupling coordination degree from 2013 to 2020. Our findings indicate that the water and land resources of Yulin are diminishing due to declines in agriculture, higher industrial water use, and wetland shrinkage. However, reallocating domestic water for ecological sustainability and reducing sloping farmland can mitigate this trend of decline. Temporally, as the coupling coordination between water and land resources system endowment in Yulin continuously improved, the coupling coordination between water and land resources system utilization first decreased and then increased with 2016 as the turning point. Spatially, the carrying capacity of water and land resources systems, the coupling coordination degree between water and land resources system endowment, and the coupling coordination degree between water and land resources system utilization in Yulin exhibited the same pattern of being higher in the six northern counties than in the six southern counties. Improving the water resources endowment is vital for the highly efficient use of water and land resources. [ABSTRACT FROM AUTHOR]

[Objective] The aims of this study are to analyze the spatial-temporal evolution differences of living environment quality among cities and counties in Changsha-Zhuzhou-Xiangtan urban agglomeration, to explore the causes of its spatial differentiation pattern, and to provide scientific support for narrowing the living environment gap and building a good living environment in Changsha Zhuzhou Xiangtan urban agglomeration in the future. [Methods] The relevant human settlement environment indicators of Changsha- Zhuzhou-Xiangtan urban agglomeration in 2013, 2015, 2017. 2019 and 2021 were selected. The entropy. method, coupled coordination degree and geographical detector model were used to explore the human settlement environment quality and differentiation mechanism of Changsha-Zhuzhou-Xiangtan urban agglomeration, including 23 districts and counties. [Results] (1) Overall, the quality of human settlements in the study area had been improved to varying degrees, but there was a trend of widening the gap. (2) Spatial distribution pattern developed from the high level in center and low levle in surrounding to a balanced level. (3) High coupling degree but low coordination degree of living environment in cities and counties in urban agglomeration was observed. (4) From the analysis of the influencing factors in the natural ecological environment, economic development environment, social security environment and personal living environment, it was found that the natural ecological environment played a fundamental role in the improvement of the living environment. Economic development environment was the key to the improvement of human living environment. Social security environment was the backing of human living environment. Individual living environment was the direct reflection of the quality of human living environment. [Conclusion] The living environment among cities and counties in Changsha-Zhuzhou-Xiangtan urban agglomeration has not reached a better coordinated development stage and the quality of the living environment is the result of multiple factors. Regions should consciously undertake the historical mission of *three-high, four-new' and strong provincial capitalstrategy, realize economic dislocation and high-quality development, further improve regional infrastructure and urban renewal, strengthen the ecological environment construction, and realize high-quality living environment. [ABSTRACT FROM AUTHOR]

Water resources, energy, and food are essential for the development of society, and they are strongly interdependent. The coupling and coordination relationships of the water–energy–food (WEF) system are important for regional resource security and high-quality development. The Yellow River Irrigation Area in Shandong Province, China, is a grain production base and has a substantial impact on national food security. To examine the water, energy, and food subsystem dynamics in this area, an evaluation system for the WEF system was established. A comprehensive weighting method based on game theory was employed to determine index weights. TOPSIS was used to assess the development level of the WEF system. A coupling coordination degree model was used to analyze the evolution of the coupling coordination degree of the WEF system from 2000 to 2020, and a GWR model was constructed to explore the spatial heterogeneity of its driving factors. The findings indicated that the development level of the WEF system in the study area was moderate, with a gradual upward trend. The coupling coordination degree fluctuated between 0.62 and 0.739. The GWR model revealed that temperature had an overall negative effect on the coupling coordination degree, with the greatest impact on the central irrigation area; the slope and NDVI had a negative effect, with increasing intensity from the southwest to the northeast; and rainfall had an overall positive effect, with the greatest impact on the irrigation area near the estuary in the northeast. Overall, the building area ratio had a negative effect on the coupling coordination degree, with exceptions in some areas. These research outcomes provide theoretical support for sustainable agricultural development in the Yellow River irrigation areas of Shandong Province and methodological reference data for studying collaborative resource utilization in irrigation regions. [ABSTRACT FROM AUTHOR]

Analyzing the spatiotemporal characteristics and driving mechanisms of the coupling coordination between the Green Transition of Urban Land Use and urban land use efficiency can help explore the future development direction of sustainable land use in cities. This paper constructs a theoretical framework for the coupling coordination between Green Transition of Urban Land Use and urban land use efficiency. We use several models, including the super-efficiency slack-based model, the coupling coordination degree model, the non-parametric kernel density estimation method, exploratory spatial data analysis, and the geographically and temporally weighted regression model to examine the real level of Green Transition of Urban Land Use and urban land use efficiency in the Yangtze River Delta region from 2003 to 2020. Based on this, we investigate the spatiotemporal evolution characteristics and driving mechanisms of the two coupling coordination processes. The study found that (1) from 2003 to 2020, the overall trend of the coupling coordination between Green Transition of Urban Land Use and urban land use efficiency in the Yangtze River Delta region tended to be coordinated and developed, but still at a primary coordination level, with sufficient room for improvement in the future. (2) The coupling coordination level of each city in the Yangtze River Delta region from 2003 to 2020 showed obvious spatial non-equilibrium and correlation characteristics, and overall dynamic polarization effects were exhibited during the study period; the spatial pattern of high-value areas showed a regularity of prioritizing Shanghai and Zhejiang Province, gradually penetrating into Jiangsu Province and Anhui Province. (3) Economic and social factors have a positive influence on the degree of coupling coordination; natural factors and policy factors have a predominantly negative influence on the degree of coupling coordination. Research conclusions include establishing a regional collaborative development mechanism, utilizing the spatial spillover effect of leading cities; emphasizing science, education, and culture, strengthening the introduction of scientific and technological talents, increasing fiscal inputs, raising the level of economic development, and further expanding the driving effect of economic and social factors; and optimizing the layout of urban and rural construction land, developing urban land in an orderly manner, appropriately strengthening environmental regulation, thereby suppressing the negative effects caused by natural and policy factors. [ABSTRACT FROM AUTHOR]

The coordinated development of ecological civilization and tourism contributes to the sustainable development of the Yellow River basin. By constructing an index system and a coupling coordination model, this paper studies the spatiotemporal evolution of the coupling coordination between ecological civilization construction and tourism industry in the nine provinces of the Yellow River basin, from 2008 to 2019. The factors affecting the coupling coordination were analyzed by the obstacle factor diagnosis model. The results of the coupling coordination model show that the overall trend of coupling coordination is on the rise, higher in the middle and lower reaches, and the cause of incoherence evolves from ecological lag to tourism lag. According to the results of obstacle factors analysis, the five upstream regions need to expand the market share of the tourism industry on the basis of promoting ecological system and ecological culture; the two midstream regions need to strengthen the market supply of the tourism industry and focus on the ecological civilization cognition; the two downstream regions can continuously strengthen tourism supply on the basis of protecting the ecological environment. [ABSTRACT FROM AUTHOR]

In the information age, digital information technology has gradually become a new quality of productivity to improve international competitiveness, and the status and importance of the pseudo human settlements(PHS) constructed by digital and information has been increasing in the human settlements(HS) system. In this context, exploring the coupling coordination of the internal systems of the PHS provides a theoretical basis for promoting the comprehensive improvement of the quality of the HS in the urban agglomerations, provides a theoretical reference for rationally interpreting the new type of human-land relationship in the information age, and provide a new perspective for the study of the human settlements geography. Currently, research on PHS is in its nascent stages, therefore, we construct a theoretical framework for the coupling coordination of the "three states" of the HS, takes the internal system of PHS as the entry point, empirically analyze the spatiotemporal characteristics of the PHS coupling coordination degree within urban agglomerations in eastern China and the driving factors by using the coupling coordination degree, spatial autocorrelation, the center of gravity and the ellipse of the standard deviation, and geo-detector models. Research shows: (1) Time course: exhibits an upward "inverted L" trend. (2) Spatial pattern: exhibits a general spatial pattern of "high in the north and low in the south". (3) Spatial correlation: shows a spatially positively correlated clustering trend. (4) Spatial evolution: demonstrates a decentralized pattern of migration from the northeast to the southwest, indicating that the coupling coordination grows faster in the southwest than in the northeast. (5) Driving factor: the development of coupling coordination degree of PHS results from multiple factors and systems. This research provides theoretical support for promoting the comprehensive improvement of the quality of PHS in the urban agglomerations in eastern China, and offers scientific reference for the construction of PHS in other regions of China. [ABSTRACT FROM AUTHOR]

The Tibetan sheep industry is a typical representative of plateau animal husbandry and grassland animal husbandry and is also one of the characteristic industries in the Qinghai-Tibet Plateau region. The study of this industry is of great significance to promoting the high-quality development of animal husbandry and the region. Based on the production data and statistical data of Tibetan sheep in the main producing areas of Qinghai Province, this paper adopts the entropy method and the coupling coordination degree model to study the high-quality development of animal husbandry in Qinghai province from five dimensions: product quality, production efficiency, economic benefits, environmental friendliness and environmental conditions. The results showed that the high-quality development level and coupling coordination degree of the Tibetan sheep industry in Haibei Prefecture, Hainan Prefecture, Haixi Prefecture and Huangnan Prefecture of Qinghai Province showed an upward trend from 2015 to 2020. Among them, the high-quality development level of the Tibetan sheep industry in Haibei Prefecture and Hainan Prefecture of Qinghai Province significantly increased from 2019 to 2020, but the coupling coordination degree decreased. [ABSTRACT FROM AUTHOR]

Tourism plays an important role in promoting rural transformation and development globally. Based on the logical relationship between tourism and rural development, this study constructs a tourism and rural development index using two models. The projection pursuit model is used to analyse the temporal and spatial evolution characteristics of the level of tourism and rural development, while the coupling coordination degree model measures the relationship in the counties of four southern Xinjiang prefectures from 2010 to 2019. A panel regression model is used to analyse the influencing factors of the coupling coordination relationship between them. The results show the following: (1) The level of tourism and rural development fluctuates and increases in time, and both demonstrate high‐level agglomeration in some counties (cities) in the northeast and southwest of the four prefectures, spatially. (2) During the study period, the level of tourism and rural development changed from 'high coupling and serious imbalance' to 'high coupling and barely coordinated'. Spatially, the degree of coupling is similar to the high‐value region of the coupling coordination degree. Over time, the spatial heterogeneity of the coupling degree decreases and the spatial heterogeneity of the coupling coordination degree increases. (3) The main influencing factors for the coordinated development of tourism and rural areas are tourism resource endowment, tourist density index, rural employees, rural per capita disposable income, and tourism contribution rate. [ABSTRACT FROM AUTHOR]

Copyright of Resources Development & Market is the property of Sichuan Resource Development & Market Magazine Co., Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Resources Development & Market is the property of Sichuan Resource Development & Market Magazine Co., Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Land use change stands as the primary factor influencing habitat quality (HQ). Clarifying the spatiotemporal change and the obstacle factors of the coupling relationship between HQ and urbanization level (UL) can provide imperative references for achieving sustainability in the Yellow River Basin (YRB). This study is based on the InVEST model, spatial autocorrelation, and obstacle factor analysis to measure the spatiotemporal dynamics and impediments of the coupling relationship between HQ and UL from 2000 to 2020 in the YRB. The findings were as follows: (1) From 2000 to 2020, the HQ showed a tendency of rise first and then fall, with the pattern of "High in the middle and west, low in the east"; (2) from 2000 to 2020, the UL had an upward trend, with the pattern of "Low in the west, high in the middle and east"; (3) the coupling and coordination level of HQ and UL in the YRB changed from extreme incoordination to verge of coordination, and it had a distribution pattern of "High in the east, low in the west", with the high-value area expanding to the east and the low-value area shrinking to the west. (4) Location condition, climate, proportion of construction land, vegetation index, and proportion of non-agricultural employment are the main obstacle factors that determined the coupling and coordination of the HQ and UL. [ABSTRACT FROM AUTHOR]

The interaction and coupling between the MICE (meetings, incentives, conferences and exhibitions) and tourism is of great significance in promoting industrial competitiveness. This study proposes a conceptual index system using the entropy method and the coupling coordination degree model to evaluate the coupling coordination between the MICE and tourism industries. Employing a large-scale sample of 31 provinces in China during 2011–2020, we find that the increase in the number of MICE institutions and the exhibition hall scale are key factors in the promotion of the MICE industry, while the total number of travel agencies and the domestic tourism income are secondary indicators that have a significant impact on the tourism subsystem. The overall level of coupling and coordination of the MICE and tourism industries is relatively low, and their spatial differentiation is significant. Concerning spatial dependence, the degree of coupling and coordination between the MICE and tourism industries in different provinces is weak in terms of their global spatial autocorrelation. Furthermore, the overall degree of aggregation is not strong but significant from the perspective of local spatial autocorrelation. This study provides important theoretical, managerial, and policy implications for the coordinated development of the MICE and tourism industries. [ABSTRACT FROM AUTHOR]

Copyright of Food Science & Technology & Economy is the property of Grain Science & Technology & Economy Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Understanding the complex relationship between ESSD and human well-being is of paramount significance to protecting regional ecology, enhancing human well-being and achieving sustainable development. We take the Yangtze River Economic Belt as an example and use multi-source data to analyse land use and cover change, as well as the spatiotemporal evolution of ESSD and human well-being. We explore and reveal the coupling coordination relationship between ESSD and human well-being. The results show that from 2000 to 2020, the overall trend in ESs in the region improved significantly, and the supply notably increased, whereas the demand growth rate was even more pronounced. The supply–demand ratio for water yield and soil conservation showed little change, with variations of <10%. However, the supply–demand ratio for carbon sequestration declined significantly by 41.83%, whereas that for food supply increased notably by 42.93%. The overall spatial pattern in ESSD presented a mismatch, which was characterised by 'low supply and high demand in the eastern region and high supply and low demand in the western region'. Overall, human well-being remained stable and was in line with the level of socio-economic development, thereby exhibiting a distinct trend of well-being 'polarisation between the rich and poor'. Well-being was higher in the eastern and central urban agglomerations and lower in the western plateau and mountainous areas. Over 20 years, the degree of coupling coordination between ESSD and human well-being increased by 0.0107, and the coupling level gradually transitioned from moderate imbalance to moderate coordination. Spatially, Hubei Province, Chongqing Municipality and the Yangtze River Delta were the main 'high–high' agglomeration areas, whereas the Sichuan Basin and the Yunnan-Guizhou Plateau were the main 'low–low' agglomeration areas. Based on these findings, we propose the following management recommendations for the Yangtze River Economic Belt and other related great river economic belts: optimise land use structure, rationally allocate natural resources, strengthen regional and external connections and promote regional coordinated development, enhance the implementation of policies for ecological and environmental protection, establish regional ecological compensation mechanisms and coordinate ecological protection in a full scope and focus on harmonising human–land relationships, build a multi-stakeholder collaborative governance mechanism and promote regional ecological protection and the elevation of human well-being. [ABSTRACT FROM AUTHOR]

The deep integration and innovative development of the logistics and manufacturing industries (LMDIIs) are crucial for reducing costs, increasing efficiency, and advancing manufacturing. To assess the development level and performance of the LMDIIs, we construct an evaluation index system, calculate the weights using the CRITIC method, and measure the comprehensive level of the LMDIIs using the TOPSIS method. We evaluate the coupling coordination of the LMDIIs and conduct a ridge regression analysis of their performance, using Anhui Province, China, as a case study. The results show that the comprehensive level of the LMDIIs in Anhui Province is low. The highest values for the logistics and manufacturing industries from 2013 to 2022 indicate great development potential. The coupling level is fluctuating upwards, and the coupling degree is growing slowly. The performance impact coefficients of the LMDIIs on the digital intelligence development of the manufacturing industry and the profit levels of the two industries indicate a significant promoting effect. However, the performance coefficient for the low-carbon transformation of the logistics industry is negative, indicating a restraining effect. Hence, we propose countermeasures and suggestions to further promote the LMDIIs and provide theoretical and methodological support for their research and management. [ABSTRACT FROM AUTHOR]

Analysing the coordination and spatial spillover effects between industrial development and environmental protection is crucial for regional sustainable development. This paper examines the spatial and temporal evolution characteristics of the coupling coordination level between industrial development and environmental protection, as well as the evolution of the decoupling type within this system. under the evolution of the coupling coordination mode and decoupling model. Additionally, it analyzes the spatial spillover effects using the spatial panel vector autoregression model. The main conclusions are as follows: First, the coordination level between industrial development and environmental protection is increasing over time in each province. Second, the decoupling status of industrial development and environmental protection shows distinct stages, progressing towards strong decoupling over time. Third, regional industrial development has a positive spillover effect on both industrial development and environmental protection in neighbouring regions, whereas regional environmental protection has a negative spillover effect on industrial development but a positive spillover effect on environmental protection in neighbouring regions. This paper suggests that provinces should focus on the synchronisation industrial development and environmental protection and implement differentiated strategies based on their specific conditions. Additionally, joint management and governance should be pursued between neighbouring provinces. [ABSTRACT FROM AUTHOR]

In order to promote the sustainable development of the hydrogen energy industry in Hebei Province, this paper investigates the coordinated industrial coupling and spatio-temporal evolution of the "resource conditions-project layout-user demand (R-P-D)" chain within the hydrogen energy industry in Hebei Province. First, a fitness model for the hydrogen energy industry is formulated based on the "(R-P-D)" chain perspective, and a comprehensive evaluation is performed using the AHP entropy weighting method.Subsequently, coupling coordination model of resource condition-project layout (R–P), resource condition-user demand (R-D), project layout-user demand (P-D), and R-P-D chain are constructed. The coupling coordination degree data of the system are then linked with the spatial unit for spatiotemporal evolution and analysis using ArcGIS software. The findings indicate that cities with high levels of economic development, advanced industrialization, abundant renewable energy resources, and well-developed clean energy industries tend to exhibit more harmonious development in the hydrogen energy industry. • Construct the "R-P-D″ chain within the hydrogen energy industry. • ArcGIS are used to carry out the spatiotemporal evolution of each system. • Provides a theoretical basis for the design and planning of hydrogen energy industry. [ABSTRACT FROM AUTHOR]

Exploring the coupling coordination degree (CCD) between digital village construction (DVC) and agricultural carbon emissions (ACE) is crucial for promoting village revitalization and sustainable agricultural development. Analyzing data from 30 provinces in China in 2011–2020, this paper employs the CCD model, the Dagum Gini coefficient, and the geographic detector for in-depth analysis. The results show that the overall level of CCD gradually increases over time, but the national CCD still remains in a state of "low coordination," and there are apparent spatial differences in the CCD among provinces. In addition, the overall difference in CCD shows a decreasing trend, and the contribution of inter-regional differences has gradually become the most critical source of CCD's regional difference. Finally, the spatial differences of CCD are the result of two-factor interaction, among which the innovation level is the most core driving factor. The above findings provide important implications for China and other developing countries to fully leverage the interaction between village digitalization and agricultural decarbonization to promote sustainable agricultural development. [ABSTRACT FROM AUTHOR]

This study explored the relationship between education and the economy in China, focusing on 31 provinces, municipalities, and autonomous regions from 2012 to 2023. It developed an appropriate evaluation model to assess the coupling and collaborative development of the 'higher education and economy' composite system. The study quantified both the quantity and quality of higher education modernization in China using the entropy-weight method and a comprehensive development- level evaluation model. The coupling-coordination degree model was applied to empirically analyze the internal logic, operating mechanisms, and coupling-coordination degree between the supply of higher education and the demand for high-quality regional economic development within the context of the new development pattern. Additionally, the obstacle degree model was introduced to identify factors hindering the coupling and coordination of higher education and regional economic development across 31 provinces and municipalities. The findings revealed that (1) the modernization levels of higher education exhibited fluctuating yet overall upward trends, with the eastern region leading. Economic development followed a similar upward trajectory, with the eastern region outperforming other areas. (2) The coupling coordination between higher education and economic development followed a 'rising-falling-rising' pattern. (3) The higher education system emerged as the primary obstacle to coupling coordination, with specific challenges varying across different regions. [ABSTRACT FROM AUTHOR]

Based on the data from 30 province - level divisions in China, this study used the coupling coordination degree and spatial autocorrelation model to evaluate the coupling and coordinated development level and spatial correlation between commercial health insurance and rural revitalization in China. The result showed that the comprehensive development level of commercial health insurance and rural revitalization in China showed distinctive regional differences, with the level of the coupling coordination of the two increasing steadily, featuring a "polarization equilibrium" among regions. The coupling coordination between regions had significant spatial spillover effects. Therefore, each region should formulate commercial health insurance development plans tailored to local conditions, implementing the coupling and coordinated development strategy for commercial health insurance and rural revitalization, thus giving full play to the regional spatial spillover effect. [ABSTRACT FROM AUTHOR]

Revealing the coordinated correlation between chemical industry development and the water environment is essential for promoting high-quality development in the Yangtze River Economic Belt. Based on the data in the Yangtze River Economic Belt from 2011 to 2021, this study explores the spatial–temporal evolution and influencing factors of the coupled coordination between chemical industry development and the water environment by using the global entropy method, a coupling coordination model, and the Tobit model. The results indicate a general upward trend in the comprehensive indices of chemical industry development and water environment systems, albeit with distinct spatial patterns. A mismatch between the two systems is observed in terms of spatial distribution. Regarding the coupling coordination degree, the relationship shows an upward trend, primarily at a mild-to-moderate coupling stage, exhibiting a spatial pattern of "downstream > midstream > upstream". Moreover, a trend of increasing coordination and narrowing disparities between high- and low-level regions can be observed. The model results suggest that environmental regulation, economic development, government capacity, and urbanization play a crucial role in promoting the coupled development of the chemical industry and the water environment. However, openness to external markets may not enhance coupled coordination. These findings may provide policy guidance for the development status of two subsystems in other locations. [ABSTRACT FROM AUTHOR]

The North China Plain (NCP) serves as the main grain production land in China, functioning as a critical region for ensuring China's food security. To address the multifaceted challenges confronting food security in the NCP, the study embarked on a comprehensive analysis of the synergistic interactions between agricultural water usage, carbon emissions, and ecosystem health. By proposing footprint family indicators and using the bottom-up IPCC coefficient approach, this study quantitatively evaluates the spatial–temporal changes of water–carbon–ecological footprints in NCP from 2003 to 2020. Furthermore, a coupling coordination degree model that focuses on the coordination of water–carbon–ecological footprints is established. The findings are as follows: (1) The total water footprint in the NCP showed a striking increasing trend with an increase of 1.52 × 1011 m3, and the carbon footprint increased by 1.27 × 109 t, with significant ecological impacts. (2) The NCP's ecological footprint exhibited an "M"-shaped trend. The land structure maintained stable with negligible changes in the proportion of ecological footprints. (3) The coupling degree between the footprints of water, carbon, and ecology in the NCP is high, revealing a noteworthy interaction effect. This research can provide data support for effective resources allocation and sustainable social–economic development, offering reasonable insights for China to formulate more scientific policies of green transition in land use and ecological civilization construction. [ABSTRACT FROM AUTHOR]

Rapid global urbanization and its progress have profoundly affected urban vegetation. The ecological quality of urban vegetation is a vital indicator of regional ecological stability and health. A comprehensive assessment of the coupling coordination and coercive relationship between urbanization and the vegetation ecological quality is essential for promoting sustainable regional green development. Using the rapidly urbanizing Guangdong–Hong Kong–Macao Greater Bay Area (GBA) urban agglomeration in China as an example, this study evaluates the vegetation quality condition and the level of urbanization and explores the dynamic relationship between vegetation ecological quality and urbanization processes. This study introduces the vegetation ecological quality index (VEQI) based on net primary productivity (NPP) and fractional vegetation cover (FVC), as well as the comprehensive urbanization index (CUI) derived from gross domestic production (GDP), population density, and nighttime lighting data. The coupling coordination and Tapio decoupling models are employed to assess the degree of coupling coordination and the decoupling relationship between the VEQI and CUI across different periods. The results showed that (1) from 2000 to 2020, the VEQI in the GBA showed a significant increase, accompanied by continuous urbanization, particularly evident with the high CUI values in central areas; (2) the coupling coordination degree (CCD) exhibits high values and significant change slopes in the central GBA, indicating dynamic interactions between urbanization and vegetation ecological quality; (3) the decoupling states between the VEQI and CUI are dominated by weak decoupling (WD), strong decoupling (SD), expansive negative decoupling (END), and expansive coupling (EC), suggesting improvements in the relationship between urbanization and vegetation ecological quality; (4) the coordinated development level of the VEQI and CUI in the study area shows improvement, and their decoupling relationship displays a positive trend. Nevertheless, it remains crucial to address the impact of urbanization pressure on vegetation ecological quality and to implement proactive measures in response. The results of this study provide theoretical support for mesoscale development planning, monitoring vegetation ecological conditions, and formulating environmental policies. [ABSTRACT FROM AUTHOR]

Land use changes (LUC) have exacerbated the evolution of ecosystem structure in the urban agglomeration of the Yangtze River Delta (YRDUA), significantly affecting ecosystem service functions and values. Although the impact of land use on ecosystem service value (ESV) has received significant attention, most existing studies explore the relationship between LUC and ESV at the national, provincial, or regional scales. Few studies focus on urban agglomerations, particularly in the YRDUA. Additionally, while many studies analyze the driving factors of ecosystem services and the trade-offs and synergies among them, there is a relative scarcity of research on the coupling coordination relationship between LUC and ESV. In this study, we used the ecosystem service assessment model to dynamically analyze the spatio-temporal changes of land use and ESV in the YRDUA from 2000 to 2020 and evaluated the dynamic relationship between the two using the coupled coordination model system. The results show the following: (1) Land use types within the YRDUA underwent significant changes during the study period, with a notable decrease in farmland and a substantial increase in construction land being the dominant trends. (2) ESV showed upward and downward trends over different periods, with water bodies having the highest value, followed by forested land and farmland, respectively. The ESV of water bodies showed a trend of first increasing and then decreasing. Higher ESVs were mainly concentrated around lakes such as Taihu Lake and coastal areas along the Yangtze River, radiating outward from these central points. (3) Currently, the coupling coordination degree (CCD) between land use intensity and ESV in the YRDUA is mostly reluctant coordinated or in the state of primary coordination. However, with time, the CCD trend has increased. In addition, variations between cities were more pronounced, showing a spatial pattern characterized by higher coupling levels in eastern/northern regions compared to western/southern regions. Our study can provide policy references for improving land planning, optimizing land use structures, and realizing high-quality, sustainable, green, and coordinated development in the YRDUA. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Central China Normal University is the property of Huazhong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract The Tibetan sheep industry is a typical representative of plateau animal husbandry and grassland animal husbandry and is also one of the characteristic industries in the Qinghai-Tibet Plateau region. The study of this industry is of great significance to promoting the high-quality development of animal husbandry and the region. Based on the production data and statistical data of Tibetan sheep in the main producing areas of Qinghai Province, this paper adopts the entropy method and the coupling coordination degree model to study the high-quality development of animal husbandry in Qinghai province from five dimensions: product quality, production efficiency, economic benefits, environmental friendliness and environmental conditions. The results showed that the high-quality development level and coupling coordination degree of the Tibetan sheep industry in Haibei Prefecture, Hainan Prefecture, Haixi Prefecture and Huangnan Prefecture of Qinghai Province showed an upward trend from 2015 to 2020. Among them, the high-quality development level of the Tibetan sheep industry in Haibei Prefecture and Hainan Prefecture of Qinghai Province significantly increased from 2019 to 2020, but the coupling coordination degree decreased.

Background Identifying the factors constraining the coupling coordination of primary medical resource allocation and high-quality economic development are essential for targeted promoting the coordinated development of the two system coupling. However, there are little research on the influencing factors that hinders the level of coordinated development of coupling. Objective To compare and analyze the coupling coordination level and its hindrance factors between primary medical resource allocation and high-quality economic development in China during the "12th Five-Year Plan" and the "13th Five-Year Plan" periods, identify barrier factors, and predict the coupling coordination trend of the two systems during the "14th Five-Year Plan". Methods The research was conducted from July 2022 to May 2023. The evaluation index system was constructed using 17 indicators, covering three dimensions from the primary medical resource allocation system (health equipment, health technicians, and healthcare funding) and five dimensions from the high-quality economic development system (innovation, coordination, openness, shared development, and green development). Data were sourced from the 2012-2021 China Statistical Yearbook and the corresponding China Health and Family Planning Statistical Yearbook. The entropy value method and comprehensive evaluation function were employed to assess the allocation of primary medical resources and economic high-quality development during the "12th Five-Year Plan" and "13th Five-Year Plan" periods. The coupling coordination model was constructed to facilitate this analysis. In order to ascertain the level of coupling coordination, an obstacle function was established in order to diagnose and identify obstacle factors affecting the coupling coordinated development. Furthermore, a grey model was employed in order to predict the trend of the coupling coordination of the two systems during the "14th Five-Year Plan" period. Results The degree of coordination between the allocation of primary medical resources and high-quality economic development in China increased from 0.15 to 0.68 between the "12th Five-Year Plan" and the "13th Five-Year Plan" periods. This overall trend was observed to be increasing year by year. However, the coupling model exhibited a low level of coordination, despite the relatively fast growth rate. The main obstacles to the coupling level of primary healthcare resource allocation and economic high-quality development binary composite system in the "12th Five-Year Plan" and "13th Five-Year Plan" periods are health equipment, health technicians, shared and green development. The modified GM (1, 1) prediction model indicates that during the "14th Five-Year Plan" period, the coupling degree of the primary medical system and the economic development level system fluctuates around 1.00, and the whole system is in the stage of the coupling degree of coordination rises from 0.73 to 1.12, indicating a rising trend in the overall situation. Furthermore, the degree of relative development is greater than 1.20, which is indicative of an oversupply state. Conclusion In order to empower the development of grass-roots medical and health systems, it is recommended that the development concept of green sharing is recommended to promote the rationalization of medical resources from three aspects from promoting coordinated development of systems, improving the conditions of grass -roots medical facilities, opening up primary medical talents, and integrating primary medical resources.

It is important to understand the relationship between urbanization and geological disaster systems to develop sustainable management strategies for many cities in the world that are located in geologically active zones. This study explored the coupling coordination degree of urbanization and geological disasters in 11 cities in Zhejiang province, China, during 2010–2020. Based on the annual demographics and socioeconomic and geological disasters data from 2010 to 2020, we analyzed the spatiotemporal changes of the coupling coordination degree between urbanization and geological disaster systems for the 11 cities in Zhejiang province during the period 2010–2020 using the analytic hierarchy process (AHP) combined entropy-weight method to determine the weights of indexes, which were used as input into the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and coupling coordination degree model. The results indicated that the coupling coordination degree of most cities in Zhejiang province was positively correlated with time, reaching a peak in 2017, and the gap in coupling coordination was narrowing. From 2010 to 2020, the development stage of coupling coordination in Zhejiang province was mainly barely coordinated development. Moreover, the coupling coordination degree of North Zhejiang was the best, that of Central Zhejiang was second, and that of Southwest Zhejiang was the worst in terms of spatial pattern. [ABSTRACT FROM AUTHOR]

ObjectiveTo understand the degree of coordination and the changing trends of Healthy China construction and high-quality economic development in different provincial-level administrative divisions (PLADs) of China, so as to promote the synergy of the two systemic developments. MethodsFrom China Statistical Yearbook, China Health Statistical Yearbook, and China National Environmental Monitoring Centre, we extracted relevant panel data of 31 PLADs in Chinese mainland from 2012 to 2021. A coupling coordination degree model of Healthy China construction and high-quality economic development was constructed for PLADs. Kernel density estimation and spatial Markov prediction model were used to explore the spatial-temporal dynamic evolution characteristics of coupling coordination degree in each PLAD and predict the evolution trend. ResultsFrom 2012 to 2021, the average coordination index of the 31 PLADs was 0.510, with 3 PLADs having the index of intermediate and primary coordination, 10 having the index of just about coordination, and 18 having the index of mildly unbalanced coordination. From the perspective of spatial evolution, there was an obvious "gradient effect" within the economic development region-specific coupling coordination indexes, showing an east-central-west step distribution and a descending spatial distribution pattern for the eastern region (coordination index of 0.582), the national average (0.510), the central region (0.480), and the western region (0.463). In terms of temporal evolution, the region-specific coupling coordination indices continued to increase, with the central region showing the largest increase (0.120), followed by the eastern (0.116) and western (0.110) regions. ConclusionHealthy China construction and high-quality economic development in China shows a positive trend, and the regional coordination level is limited by the lag of high-quality economic development. There is significant regional heterogeneity in the coordination level of each region. Considering the spatial effect, adjacent PLADs with high and relatively high levels will have a radiating and driving effect on PALDs with low and relatively low levels, and there is a positive spillover effect.

Abstract In the information age, digital information technology has gradually become a new quality of productivity to improve international competitiveness, and the status and importance of the pseudo human settlements(PHS) constructed by digital and information has been increasing in the human settlements(HS) system. In this context, exploring the coupling coordination of the internal systems of the PHS provides a theoretical basis for promoting the comprehensive improvement of the quality of the HS in the urban agglomerations, provides a theoretical reference for rationally interpreting the new type of human-land relationship in the information age, and provide a new perspective for the study of the human settlements geography. Currently, research on PHS is in its nascent stages, therefore, we construct a theoretical framework for the coupling coordination of the “three states” of the HS, takes the internal system of PHS as the entry point, empirically analyze the spatiotemporal characteristics of the PHS coupling coordination degree within urban agglomerations in eastern China and the driving factors by using the coupling coordination degree, spatial autocorrelation, the center of gravity and the ellipse of the standard deviation, and geo-detector models. Research shows: (1) Time course: exhibits an upward “inverted L” trend. (2) Spatial pattern: exhibits a general spatial pattern of “high in the north and low in the south”. (3) Spatial correlation: shows a spatially positively correlated clustering trend. (4) Spatial evolution: demonstrates a decentralized pattern of migration from the northeast to the southwest, indicating that the coupling coordination grows faster in the southwest than in the northeast. (5) Driving factor: the development of coupling coordination degree of PHS results from multiple factors and systems. This research provides theoretical support for promoting the comprehensive improvement of the quality of PHS in the urban agglomerations in eastern China, and offers scientific reference for the construction of PHS in other regions of China.

Infrastructure and economic networks can be used to describe different dimensions of urban systems, and a close relationship exists between them. Therefore, it is important to study the dynamic coupling relationship between them to promote the formation and development of urban networks. Relevant studies have compared and analyzed the evolution characteristics of urban network structures from different dimensions; however, relatively few studies have focused on the dynamic coupling relationship between high-speed rail and remote investment networks. The formation and development of high-speed rail networks has become a key factor affecting remote investment networks, and the layout of a remote investment network also affects the development of a high-speed rail network. To this end, we used high-speed railway operation service data and related transaction data of listed companies from 2008 to 2023 to construct high-speed railway and remote investment networks reflecting intercity high-speed railway and enterprise remote investment connections, respectively. QAP correlation analysis was used to explore the overall correlation between the two networks. Using the quadrantal diagram method and the coupling coordination degree model, we discuss the spatiotemporal coupling coordination of the two networks, identify the types of cities and urban connections, and propose operational planning suggestions for cities and high-speed railways. The results indicate the following: 1) Both the scale and density of the high-speed rail network and the off-site investment network show a rapid growth trend, and the expansion of the high-speed rail network is significantly faster than that of the off-site investment network. There is a significant positive correlation between high-speed rail and the remote investment network as a whole, and the degree of correlation first increases and then decreases. 2) In terms of space, cities with the simultaneous development of high-speed rail and remote investment networks are primarily concentrated in the administrative and economic centers of the eastern region. However, cities with lagging high-speed rail networks are mainly located in non-transportation hub cities in the economically developed areas of the Pearl River Delta, Dalian, and Urumqi. Moreover, cities with advanced high-speed rail networks are mainly centered in the central and eastern regions around the main high-speed rail lines. 3) Cities with synchronous development of high-speed rail and remote investment networks are mainly located in developed cities within the five major urban agglomerations. The pairs of cities with lagging high-speed rail networks are mainly located between the core cities of different urban agglomerations. Pairs of cities with advanced high-speed rail networks are typically positioned between cities that are closer together and contain at least one city with a less developed economy. The relevant research results can provide policy support for China's high-speed rail operation planning and urban system construction.

Abstract The study examines the digital finance (DF) and regional sustainable development (RSD) across 90 cities within six major city clusters in China over the period from 2011 to 2020. By constructing an evaluation index system for DF and RSD, we employed the entropy value method to assess their levels, and the coupling coordination degree (CCD) model to evaluate their interplay. Our analysis extended to temporal and spatial disparities, distribution dynamics, and the convergence of CCD through kernel density estimation, Markov chain analysis, $$\sigma$$ σ -convergence, and $$\beta$$ β -convergence techniques. The results indicate a consistent upward trend in CCD, yet it remains at a low level with pronounced regional disparities and temporal characteristics. The kernel density distribution’s central tendency has shifted rightward progressively, albeit with a decelerating pace annually. The Markov transition probability matrix suggests a stable CCD across various levels, hinting at “club convergence”. Furthermore, both $$\sigma$$ σ -convergence and $$\beta$$ β -convergence analyses reveal significant convergence trends in CCD, enhanced by economic growth factors. Using the Quadratic Assignment Procedure (QAP) method, we found that regional economic growth disparities significantly influence the CCD’s regional variances.

Abstract Green finance (GF) is recognized as a key driver of sustainable development. While existing studies have extensively discussed the relationship between GF and the Sustainable Development Goals (SDGs), few have explored the coupling coordination relationship between GF and SDGs. In this paper, we use data from thirty Chinese provinces (municipalities and autonomous regions) from 2008–2021 to examine the degree of coupling coordination development (CCD) between GF and the SDGs systems using the CCD model. We find that most SDGs and their sub-goals exhibit a significant upward trend, except for SDG8, 14–16. GF presents a fluctuating upward trend, with a significant decline in 2010 and 2019. The CCDs between GF and SDGs and their sub-goals generally show an M-shaped upward trend in most regions, with most of them experiencing a synchronous decline in 2011–2012 and 2019. In the analysis of regional heterogeneity, the eastern region performs better in SDG8–9, the central region performs better in SDG3, 14–15, while the western region performs better in SDG7. This paper provides empirical evidence for a further in-depth understanding of the relationship between GF and SDGs, which can contribute to advancing GF development and the SDG process.

To delve into the interrelationship between the green transformation of industry and the economy's high-quality development, to promote the coordinated development of industrial carbon emission efficiency and digital economy, to expand the scope and research ideas related to economic and social sustainable development, and to provide scientific reference for the low-carbon sustainable development of regional economy, this article introduced a data-centric methodology for evaluating the collaborative advancement of both industrial enterprises' carbon emission efficiency and the digital economy. To accurately gauge the carbon footprint of industrial enterprises, models focusing on carbon emissions as well as carbon emission intensity were employed. To enhance the precision of evaluation outcomes and mitigate biases stemming from subjective weighting factors, we employed the entropy weight method to objectively assign weights to each indicator. Furthermore, the super-efficient slack-based model (SBM) can solve the problem that the conclusions are biased, due to the different radial. Subsequently, a carbon-emission efficiency slack-based measure model, and models for coupling degree and coupling-coordination degree were formulated. Anhui, as a central province in China, is also an important province in the Yangtze River Delta integration development. Coordinated development of its carbon emission efficiency and digital economy has important implications for the sustainable economy advancements of other regions in China, and even other countries or regions in the world. Therefore, Anhui was selected to be the empirical research sample. The results showed that the comprehensive levels of these two systems followed an increasing trend, while the digital economy lagged. Their coupling degree fluctuated and reached its highest point in 2021, whereas their coupling-coordination degree increased, showing high coupling and low coordination overall. This study proposes specific countermeasures and suggestions for the relevant decision-makers. [ABSTRACT FROM AUTHOR]

The study examines the digital finance (DF) and regional sustainable development (RSD) across 90 cities within six major city clusters in China over the period from 2011 to 2020. By constructing an evaluation index system for DF and RSD, we employed the entropy value method to assess their levels, and the coupling coordination degree (CCD) model to evaluate their interplay. Our analysis extended to temporal and spatial disparities, distribution dynamics, and the convergence of CCD through kernel density estimation, Markov chain analysis, σ -convergence, and β -convergence techniques. The results indicate a consistent upward trend in CCD, yet it remains at a low level with pronounced regional disparities and temporal characteristics. The kernel density distribution's central tendency has shifted rightward progressively, albeit with a decelerating pace annually. The Markov transition probability matrix suggests a stable CCD across various levels, hinting at "club convergence". Furthermore, both σ -convergence and β -convergence analyses reveal significant convergence trends in CCD, enhanced by economic growth factors. Using the Quadratic Assignment Procedure (QAP) method, we found that regional economic growth disparities significantly influence the CCD's regional variances. [ABSTRACT FROM AUTHOR]

The coupling coordination between the development of the digital economy and the construction of an ecological civilization is an important topic for the high-quality coordinated development of China’s economy and society. This study is based on panel data from 31 provinces and cities in China from 2013 to 2020. It utilizes the entropy method, coupling coordination degree model, and panel Tobit model to calculate the coupling coordination degree between the development of the digital economy and the construction of an ecological civilization, and to analyze the influencing factors. The results indicate that the overall coupling coordination degree of the two systems has been increasing year by year at the national level, with the development status transitioning from a mildly imbalanced state to a state on the brink of imbalance. The eastern region of China has the highest coupling coordination degree between the two systems, while the central and western regions both lag behind the national average, demonstrating a gradient decline in coupling coordination development across the eastern, central, and western regions. Urbanization, human capital, industrial structure, technological innovation, and government management have a significant positive impact on the coupling coordination degree of the two systems at the national level, while openness to the outside world has a significant negative impact. The impact of these influencing factors on the development of coupling coordination between the two systems exhibits significant heterogeneity across the eastern, central, and western regions, and each region should promote the development of coupling coordination based on local conditions, timing, and circumstances. [ABSTRACT FROM AUTHOR]

The coupling coordination of digital economy and green high-quality development of industries is an important way for sustainable and high-quality economic development. This paper constructs an evaluation index system for the digital economy and industrial green high-quality development, and conducts empirical analysis using the coupling coordination model, the spatial autocorrelation model, and the Tobit model. The data from provinces and cities in the Yangtze River Economic Belt spanning from 2008 to 2021 has been analyzed. Results show that both subsystems exhibit a good and rising coupling coordination, and the regional coupling coordination demonstrates a trend of higher values in the east and lower in the west. Moreover, there is interaction between provinces and cities, albeit with a weakening correlation after 2011. Additionally, spatial clustering is evident between regions with high and low coupling coordination. The coupling coordination degree of each region is impacted by important factors, such as economic development level, financial level, opening up, fiscal expenditure, and urbanization. Therefore, the study recommends policies aimed at boosting the coupling coordination level in the Yangtze River Economic Belt. Key policy proposals contain promoting the integration and innovation of digital technology and green low-carbon technology, strengthening regional cooperation through the transfer of industries, and adopting differentiated development strategies tailored to regional advantages and the varied impact. [ABSTRACT FROM AUTHOR]

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

Urban green infrastructure construction and economic growth are necessary ways and important supports to promote sustainable development. Exploring their coupling coordination relationship is important for achieving high-quality economic development. This study uses the entropy method, coupling coordination degree, kernel density estimation, the Dagum Gini coefficient, and spatial autocorrelation to explore the spatial-temporal pattern characteristics and coupling coordination relationship between green infrastructure construction and economic development for 273 cities in Chinese mainland in 2010–2020. The results show that the level of China's green infrastructure construction and economic development gradually increased during 2010–2020. There were significant regional differences in space, exhibiting a decreasing spatial pattern from east to west. The coupling coordination degree was constantly improving. The overall Gini coefficient shows an upward trend. Among the four regions, eastern China has the greatest intraregional variation. The uneven level of coupled coordination is mainly from interregional variation. There was a significant positive spatial autocorrelation relationship, and cities that had a higher degree of coupling coordination tended to agglomeration development. Meanwhile, it also had certain spatial heterogeneity. China's entire level of coupling coordination degree still has much room for improvement. The study is of great significance in reducing disparities between regions and strengthening regional spatial coordination development. [ABSTRACT FROM AUTHOR]

Global warming caused by massive carbon dioxide emissions can lead to a chain of ecological disasters. As one of the main sources of carbon emissions, transportation is of great significance, and the evaluation of its connections with carbon emissions is necessary to achieve "carbon neutrality". Taking Beijing as an example, this study evaluated traffic efficiency (TE) by utilizing principal component analysis and fuzzy comprehensive evaluation. Using the Tapio decoupling model and coupling coordination degree model, the corresponding relationship between urban low carbon level (LCL) and TE was explored. The results showed the following: (1) The total carbon emission (CE) level exhibited fluctuating variation from increasing to decreasing. The carbon emission intensity (CEI) continued to slow down, and the rapid growth of population density played a key role in low-carbon development. (2) The traffic operations continually showed a positive trend in development. TE increased from a step-like to a slow shape, until it declined in 2020 due to the pandemic. (3) TE and LCL both developed from low coordination to an extreme level of coordination. Per capita carbon emission (CEP) and TE presented an inverted U-shaped curve; meanwhile, with increases in TE, the decline in CEI slowed. In addition, the weak decoupling of TE changed to become strong, due to CE and CEP, and maintained a strong decoupling state from CEI. (4) There is a necessity for the rational planning of land use for transportation infrastructure, the encouragement of a combination of public and private transportation, and the strengthening of the maintenance of the relative infrastructure and the management of traffic behaviors to attain a win–win situation. The results provide a reference for optimizing the traffic structure to achieve "carbon neutrality". [ABSTRACT FROM AUTHOR]

Purpose: The digital economy has become a key force supporting the high-quality development of tourism. This paper discusses the coupling coordination relationship and spatiotemporal evolution path of digital economy and tourism in China's provinces. Design/methodology/approach: This paper uses the entropy method to measure the development level of digital economy and tourism, and establishes coupling coordination model and spatial autocorrelation model to study the interaction between the two industries. Findings: Results show that the development levels of the two industries are rising, which spatially show a progressively decreasing pattern of east-middle-northeast-west. The coupling coordination degrees of the two industries have increased steadily, but the overall level is still near maladjusted. Spatially, the positive correlation is increasing, but the incongruity of spatial agglomeration is still significant. The coupling coordination evolution path in the provinces shows differentiated characteristics. The migration path is mainly concentrated in Zones I and II. The eastern region has an obvious trend of extending to Zone III, where the tourism industry was the most affected by the pandemic. Practical implications: The study helps clarify the industrial coupling and coordination relationship in various regions and formulate regional tourism digital transformation strategies to promote the high-quality development of China's tourism industry. Originality/value: This paper enriches the research on the relationship between digital economy and tourism from the perspective of industrial integration. The development commonality of China's tourism digital transformation summarized provides theoretical reference and demonstration for the coordinated development of China's tourism. [ABSTRACT FROM AUTHOR]

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