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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.)

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]

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]

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 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.)

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]

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. [ABSTRACT FROM AUTHOR]

Social upgrading does not inherently follow economic upgrading; rather, they present a complex interplay. This paper, focusing on China, utilizes the coupling coordination degree and a panel regression model to shed light on the intricate interaction between social upgrading and economic upgrading. It is found that the coupling coordination degree of social and economic upgrading in China has improved from 0.33 to 0.49 since the mid-1990s, undergoing a shift from a stage of slight imbalance to low-level coordination. However, significant regional disparities are present in terms of economic upgrading, social upgrading, and their coupling coordination degree. Developed areas exhibit a higher degree of coupling coordination compared to less developed regions, indicating a connection between the coupling coordination degree and the level of economic growth. Economic globalization, public governance, and the legal environment positively impact the coupling coordination between social and economic upgrading, while economic privatization and corporate violations of law exert negative effects. The paper concludes with policy discussions for enhancing the coupling coordination between social and economic upgrading. [ABSTRACT FROM AUTHOR]

Copyright of Science & Technology of Cereals, Oils & Foods is the property of Science & Technology of Cereals, Oils & Foods 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.)

It holds that the ecological world is an organic whole with internal relations, and that man, nature and society are a dynamic and harmonious unity, and advocates the establishment of a new relationship between man, nature and society. The construction of ecological sports park can not only meet the public's rigid demand for fitness places, promote the orderly progress of national fitness, but also promote the development of ecological sports. Therefore, this paper makes an empirical analysis on the ecosystem efficiency of leisure sports industry by measuring the green total factor productivity. In this paper, the coupling coordination degree model is used to measure the coordination level of sports elements subsystem and ecological environment subsystem. The results show that: from the analysis of coupling trend, the coupling coordination between sports and ecological environment elements in the leisure sports industry in the eastern, central and western regions of China is generally on the rise from 2010 to 2021. The simulation results of the system are consistent with the historical results. The relative error of the simulation results of the main factors of the system is basically controlled within 10%, and the average error is less than 5%. It shows that the optimization strategies of sports development should include constructing modern leisure sports industry system and protecting natural resources. Strengthen the overall coordination of industries and promote the rational allocation of resources. [ABSTRACT FROM AUTHOR]

Advanced manufacturing agglomeration (AMA) plays a significant role in supporting regional development, but few studies have examined it on a regional geographic space. In this paper, the relationship between AMA and regional economic‒innovative‒social coupling coordination development (EISCCD) was studied spatially at a fine-grained scale (500 m × 500 m), taking Liangjiang New Area (LJNA), China, as an example. The results showed that (1) the spatial patterns of AMA and EISCCD in LJNA were similar; (2) among the four different combinations, the economic‒social combination had the highest degree of coupling coordination and a more balanced spatial distribution; (3) AMA and the four coupling coordination combinations all showed significant positive relationships, with innovation playing a prominent mediating role; and (4) there was evident spatial heterogeneity in the relationship between AMA and ECICCD. These results demonstrate the possibility of building suburban subcenters with advanced manufacturing. These findings are beneficial for urban and regional planners to monitor the development status at different locations within cities, enabling precise construction and management of various facilities, enhancing land utilization efficiency, and aiding in the realization of a business-friendly and livable urban environment. [ABSTRACT FROM AUTHOR]

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower 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.)

When studying the coupling coordination relationship between agricultural eco-efficiency and urbanization, it is crucial to consider food security, especially in a populous country like China. This paper focuses on 31 provinces in China as the research units, covering the time period from 2000 to 2020. Based on the concept of agricultural eco-efficiency, an evaluation index system was developed to include undesirable outputs (carbon emissions), and agricultural eco-efficiency scores were calculated using the SBM–DEA model. An urbanization evaluation index system, covering six dimensions and twelve indexes, was constructed. A comprehensive index of urbanization is measured using the entropy method. On this basis, a coupling coordination model was applied to quantify the relationship between agricultural eco-efficiency and urbanization at the provincial scale in China. The results showed that the agricultural eco-efficiency of all provincial units in China exhibited an overall trend of improvement. Average efficiency followed a spatial pattern of majority grain-consuming areas > grain production–consumption balance areas > majority grain-producing areas. The level of coupling between agricultural eco-efficiency and urbanization is generally low. Currently, no regions have reached the stage of synergy or high-level coupling. Most regions are currently in an antagonistic stage with a coupling degree of 0.3 < C ≤ 0.5. The classification of coupling coordination levels changed from four levels of "severe imbalance", "moderate imbalance", "mild imbalance", and "primary coordination" to "moderate imbalance", "mild imbalance", "primary coordination", and "intermediate coordination". The level of "severe imbalance" disappeared, the level of "intermediate coordination" appeared, and the level of "mild imbalance" became the largest scale level. From the perspective of food security, the proportion of grain production in the categories of "primary coordination" and "intermediate coordination" was less than 10%, and these provinces never achieved self-sufficiency in food production. The proportion of grain production at the "mild imbalance" level reached 62.4%, while the per capita grain production at the "moderate imbalance" level reached 846.7 kg. Provinces with lower levels of coupling coordination have stronger food security capabilities. It can be observed that the weaker the coupling coordination between agricultural eco-efficiency and urbanization, the higher the food self-sufficiency. Based on the research results above, we discussed strategies to enhance agricultural eco-efficiency in majority grain-producing regions by focusing on technological progress and technical efficiency. Additionally, we analyzed approaches to achieve grain self-sufficiency in regions characterized by a high level of coordination between agricultural eco-efficiency and urbanization, considering both production and trade dimensions. [ABSTRACT FROM AUTHOR]

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union 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.)

This paper examines the coupling coordination degree between digital economy and green technology innovation in 19 urban agglomerations across China from 2011 to 2020. Through the analysis of the coupling coordination degree model, spatial autocorrelation, multi-distance spatial clustering analysis, kernel density analysis and grey correlation model, this study uncovers the mechanism of coupling between digital economy and green technology in Chinese urban agglomerations. Data analysis revealed a significant increase in the coupling coordination between the digital economy and green technology innovation within urban agglomerations. However, there are noticeable spatial imbalances in this trend. Additionally, the multi-distance spatial distance analysis highlights a shift from a random distribution to a clustered distribution of spatial characteristics. The polarization features vary among each urban agglomeration and exhibit a significant positive spatial correlation. Factors such as economic sustainability, creative talent, policy support, digital impetus, and technological support will affect the coupling mechanism of green technology innovation and the digital economy in China's urban agglomerations. Policy recommendations are proposed to foster the development of the digital economy, promote coordinated growth within and beyond urban clusters, and ultimately build a digital ecological civilization that is both green and intelligent. [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]

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]

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.)

Green and low-carbon use of urban land (GLUUL) and high-quality economic development (HED) are two closely linked and mutually reinforcing systems, and their coordinated development is of great theoretical and practical significance to the realization of green and sustainable urban development. Based on theoretical analysis, this paper used data from 2005 to 2020 to measure GLUUL efficiency and HED level and their coupling coordination degree (CCD) successively of 282 cities in China, and then analyzed in-depth the main factors affecting CCD and its spatial–temporal heterogeneity using the GTWR model. This study found that (1) GLUUL efficiency and HED levels are increasing with different trends, and the development is unbalanced. High-value cities in the two systems show a staggered distribution pattern. (2) The CCD of the two was dominated by primary and intermediate coordination types, and the overall became increasingly coordinated, with the "intermediate coordination—advanced development" type having the highest representation. (3) There is a gradual convergence of CCD spatial differences, showing an overall spatial distribution pattern that is "high in the northwest and southeast, low in the central area". (4) The influence degree and direction of different factors on CCD are distinguishing. The positive impact of industrial structure upgrading (Isu) is obviously greater than other factors, which has the strongest effect on the industrial corridor along the Yangtze River and the Beijing–Tianjin–Hebei region. The findings can offer insightful recommendations for promoting sustainable development in China and similar developing countries and regions. [ABSTRACT FROM AUTHOR]

Understanding the coupling coordination status between rural industrial integration (RII) and new urbanization (NU) is critical for the Chinese government to optimize policies that promote the synergetic and sustainable development of RII and NU. Based on constructing evaluation index systems, this paper uses the entropy value method, coupling coordination degree model, exploratory spatial analysis method, gravity center model, and geographical detector model to reveal the characteristics of the spatial–temporal differentiation of the coupling coordination and its driving factors in China. The results show that: (1) The regional differences in the coupling coordination degree between RII and NU are obvious, and the coupling coordination degree of China's three economic regions are all in an increasing trend, but the mean values in the central and western regions are always below the national average. (2) The coupling coordination degree has significant spatial agglomeration characteristics, but the regional differences are gradually decreasing. The whole country is still dominated by the low–low agglomeration, and the provinces with the high–high agglomeration are mainly located in the eastern region. (3) The gravity center of the coupling coordination degree has moved in both the east–west and north–south directions from 2011 to 2021, but the movement trend in the north–south direction is more obvious. (4) The economic development level, industrial structure, transportation conditions, government support capacity, financial support level, and agricultural mechanization level are important factors driving the spatial–temporal variation, and their interactions will enhance the differentiation. The results can provide a theoretical basis and decision-making reference for relevant government departments in China to promote the sustainable development of RII and NU. [ABSTRACT FROM AUTHOR]

Copyright of Geography & Geographic Information Science is the property of Geography & Geo-Information Science 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.)

In light of the pressing concerns about worldwide warming and environmental degradation, understanding the nexus between energy consumption and green development has become vital to fostering a low-carbon transition in energy consumption, and promoting environmentally friendly development. After exploring the connotations of energy consumption and green development, this paper constructed evaluation systems for energy consumption and green development. By leveraging quantitative methods; such as the entropy method, coupling coordination model, spatial Markov model, and gray model GM (1, 1); we conducted an empirical study into the dynamism and evolutionary trends in the coupling coordination degree between energy consumption and green development in China, spanning from 2006 to 2020. Our findings delineate several key trends: (1) overall, the levels of each system have witnessed a marked increase, with the average energy consumption slightly exceeding that of green development; (2) the coupling coordination degree has displayed a consistent rise over time, with spatial distribution patterns exhibiting a "higher in the south, lower in the north" and a "center-edge" characteristic; (3) the dynamic evolution of coupling coordination types manifests a stability, continuity, and heterogeneity, eliciting distinct effects across different neighbourhood types; (4) within the forecast period, the coupling coordination degree among Chinese provinces is projected to undergo further enhancement, with the majority of provinces transitioning from a barely coordinated stage to a coordinated development stage. Above all, to stimulate a more qualitative coupling coordination between energy consumption and green development, this paper provides relevant policy implications. [ABSTRACT FROM AUTHOR]

Land use multifunctionality research is important for the efficient use of land resources and the resolution of land use conflicts. With the use of methods such as the technique for order of preference by similarity to ideal solution (TOPSIS) model, coupling coordination model, and geographical detector, the land use multifunctionality level, spatiotemporal coupling, and influencing factors in the Sichuan Province of China from 2000 to 2020 were systematically analyzed in this paper. It was revealed that, from 2000 to 2020, the comprehensive land use functionality in Sichuan Province was continuously improved with increasing economic, social, and ecological functionality levels. The comprehensive land use functionality in each city (prefecture) exhibited a positive development trend. The coupling coordination degree of the land use multifunctionality in Sichuan Province has been continuously improved, undergoing an evolutionary process from the brink of disarray to barely coordinated, then to primary coordination, and finally to medium coordination. The spatial differentiation of land use multifunctionality coupling coordination among cities (prefectures) was notable, showing center–periphery spatial distribution characteristics. The average slope and employed population density exhibited the highest explanatory power for the spatial differences in land use multifunctionality coupling coordination. The interaction between any two factors exerted a greater impact than any single factor on the spatial differentiation of land use multifunctionality coupling coordination. Based on the regional development characteristics, region-specific strategies should be adopted to enhance the land use multifunctionality level in Sichuan Province. [ABSTRACT FROM AUTHOR]

The focus on the concept of upgrading in the study of global production networks has expanded from economic upgrading to encompass social and environmental upgrading. However, rare research pays attention to the complex interplay among these three aspects. This paper tries to integrate the economic, social, and environmental upgrading into an analytical framework through the lens of coupling coordination. Using the Granger causality test and panel regression model, it provides empirical evidence and an explanation of the triad's interaction based on the Chinese case study. It is found that, over the past twenty-five years from 1996 to 2020, China has seen a significant improvement in the coupling coordination of economic, social, and environmental upgrading with the coordination degree rising from 0.35 to 0.51, though it remains at a low level of coordination. Regional disparities in economic upgrading are more pronounced than those in social and environmental upgrading, and the inter-group disparities between economic and environmental upgrading have widened following the economic crisis. Panel regression analysis shows that economic globalization, public governance, legal environment, and environmental regulation positively influence the coupling coordination of the three types of upgrading, while economic privatization and corporate violations of law tend to have a negative impact. [ABSTRACT FROM AUTHOR]

Copyright of Pearl River is the property of Pearl River 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.)

Copyright of Pearl River is the property of Pearl River 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.)

The coordinated development of rural infrastructure and ecological environment is an effective way to improve agricultural productivity. The primary focus of the current research is how the two can work together to promote regional economic development in rural areas and in related fields. This study takes the western region as the research object, constructs an evaluation index system for rural infrastructure and ecological environment, and uses the Min-max Scaling method, coupling coordination model, gray GM (1, 1) model, and standard deviation elliptical model for evaluation. The trends and driving factors for the coordinated development of rural infrastructure and ecological coupling in the region from 2012 to 2021 are analyzed. The main results are as follows: (1) Except for Tibet, Qinghai, and Ningxia, the coupling degree of rural infrastructure and the ecological environment in western China reached the maximum level during the research period, also the coordination degree showed a gradual upward trend. (2) A prediction for the development and evolution of rural infrastructure and the ecological environment in western China indicates a trend of agglomerative development in the southern region. (3) By strengthening the construction of reservoirs, improving sanitary conditions, improving cultivated land use area and forest coverage, and controlling soil erosion, the coordinated development of the two can be effectively promoted. The purpose of this study is to promote the sustainable and coordinated development of rural infrastructure and ecological environment, and to provide a reference for policy formulation in the relevant sectors and other countries and regions with similar situations. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River 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.)

Whether the industrial policy can promote the high-quality development of manufacturing industry, a large number of scholars have conducted empirical research on the effectiveness of tax policy, R&D policy and other aspects, but few scholars have studied how the effectiveness is affected. Our research will try to fill the gap in this problem. Since manufacturing policies involve multiple fields, and different policies have different impacts, we need to analyze these policies as a whole and consider the impact of the relationship network between policy texts on the overall development of manufacturing. This can explain the impact of policies. We collected 95 manufacturing policy texts from 2011 to 2020 in Zhejiang Province and established a relationship network using the sector information and keyword information contained in the text data. We apply the complex network analysis method to the analysis of the relationship characteristics of policy texts and calculate the centrality, structural holes and other indicators of the relationship network. We further found that the characteristics of policy text relations have a significant impact on the production of policy effects by using the GRA (Grey Relation Analysis) and coupling coordination methods. The number of departments involved in the formulation of policy texts and the tightness of keywords have a positive impact on the policy effect. This enlightens the government to make unified policies based on departmental cooperation and strengthen the connection between policy texts and policy objectives. This research shows that text data can identify the value transmission law of policy effects, reveals the causes that affect the policy effects and provides the government with more practical operational plans in policy formulation. [ABSTRACT FROM AUTHOR]

(1) Background--Forestry plays a vital role in maintaining ecological balance and promoting green development. High-quality development becomes the inevitable trend of forestry development, and new quality productive forces is the key factor to promote high-quality development. At present, although the level of new quality productive forces in China is gradually rising, the overall level is not high. Existing studies mainly focus on the development paths of forestry industry and the role and development of new quality productive forces, but few studies have linked the two. (2) Methods--On the basis of theoretical analysis, this paper constructed the evaluation index system of high-quality development of forestry and new quality productive forces. The research data were panel data of 30 provinces in China from 2010 to 2022. First, the weight of each index of high-quality development of forestry and new quality productive forces was determined by the entropy coefficient method. Second, the development indexes of high-quality development of forestry and new quality productive forces were calculated by using the weighting function. Finally, the coupling coordination model was used for quantitative analysis to reveal the coupling and coordination relationship between high-quality development of forestry and new quality productive forces. (3) Results--First, the level of high-quality development of forestry and new quality productive forces in China has been improving year by year from 2010 to 2022, and the two influence and promote each other. Second, the coupling coordination degree of high-quality development of forestry and new quality productive forces continues to rise, from the moderate imbalance stage to the verge of imbalance stage, but the overall coupling coordination degree is still low. Third, the difference in the level of new quality productive forces between eastern and western China is particularly obvious. The coupling coordination degree of high-quality development of forestry and new quality productive forces in central and eastern China show an upward trend, while the coupling coordination degree in western China increases slowly, and is lower than the national average level. (4) Conclusions and Discussions--In order to realize the integration of high-quality development of forestry and new quality productive forces, the following policy suggestions are put forward: First, implement the coordinated development strategy of regional forestry. Strengthen the exchange and cooperation of forestry technology between the central and eastern regions and the western regions, and the western region should strengthen the research and development of new quality productive forces in forestry. Second, strengthen forestry science and technology innovation and talents cultivation. Guide and support forestry enterprises to increase investment in scientific and technological innovation. Attach importance to the cultivation and introduction of forestry science and technology talents. Third, speed up the shaping of new forestry production relations. Integrate forestry science and technology innovation resources and coordinate the promotion of technological change, factors aggregation and industrial upgrading by relying on the local unique new forestry collective economic development model. Give full play to the advanced advantages of the new forestry collective economy in forestry capital and forestry technology, and promote the improvement of forestry total factor productivity. Fourth, improve the forestry policy and management system. Introduce a more comprehensive and systematic policy and management system for the integration and synergistic development of high-quality development of forestry and new quality productive forces. [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]

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]

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]

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]

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]

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]

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]

For sustainable economic development, it is extremely important to understand how digital finance and technological innovation are coupled and how the spatial coupling network is connected. Based on panel data collected from 31 Chinese provinces between 2011 and 2020, this paper calculates the technological innovation index using the entropy method, and adopts the coupling coordination model to measure the coupling coordination degree of digital finance and technological innovation. Furthermore, this paper utilizes the improved gravity model to determine the spatial correlation matrix and uses the social network analysis (SNA) method to investigate the spatial spillover characteristics of the coupling network. The results demonstrate the following: (1) While the index of digital finance and technological innovation rose and digital finance developed rapidly, the level of technological innovation remained low. (2) There was an improvement in the degree of coupling coordination between digital finance and technological innovation, which was higher in the eastern region and lower in the west. (3) The overall network density and the number of associations increased; meanwhile, the network hierarchy and network efficiency declined, indicating that the spatial structure was strengthened. (4) The centrality of some developed eastern regions, such as Beijing, Shanghai, and Zhejiang, was greater than that of some underdeveloped areas in the midwest and northeast regions. (5) The coupling coordination network can be classified into four types: the "main inflow plate" mainly includes underdeveloped regions in the midwest areas; the "main outflow plate" and "bidirectional spillover plate" primarily include the developed eastern areas; and the "agent plate" mainly includes the central provinces. This research provides a foundation for enhancing the cross-regional coupling coordinated development of digital finance and technological innovation. [ABSTRACT FROM AUTHOR]

Nowadays, frequent climate extremes exert a serious impact on agricultural production and social development, which is seldom studied in the previous literature. Production–Living–Ecological (PLE) is a useful analysis framework, and China is a suitable model for such study. This paper takes the Huai River Eco-Economic Belt (HREB), an important agricultural zone in China, to study the relationship among agricultural production (P), society (L), and climate change (E), which is referred to as APLE. This paper constructs a coupled coordination evaluation index system for the APLE system and uses coupling coordination degree models and geographic detector to study the spatial and temporal evolution of the coordinated development of 34 counties (cities) in the HREB from 2009 to 2018. The results show the following: (1) The development of the agricultural subsystem and the social subsystem formed a "scissors difference" from 2009 to 2014, and the three subsystems showed a slight upward trend during 2014–2018. (2) The coupling and coordinated development of the APLE system in the HREB was generally stable, and the coupling coordination degree was improved from low-grade and slightly uncoordinated to barely and primarily coordinated. Furthermore, the spatial differentiation of the coupling coordination degree shows a clear pattern of being high in the southeast and low in the northwest. (3) The main influencing factors are the drought and flood protection rate, the effective irrigation rate, the per capita electricity consumption in agriculture, the number of beds in healthcare facilities per 10,000 people, the per capita disposable income of urban residents, the annual average temperature, and the annual precipitation. (4) The spatial–temporal evolution of the coupling and coordinated development of the APLE system is the result of the comprehensive effect of internal driving forces such as food security, the consumption level of rural residents, and the development level of urbanization construction, and external driving forces such as government public welfare and natural conditions. [ABSTRACT FROM AUTHOR]

Coupling development between university science and technology (S&T) innovation and economy is an objective requirement for achieving sustainable economic and social development. The main goal of this paper is to explore the situation of the coupling coordination relationship between the two systems, i.e., university S&T innovation and sustainable economic development in China. It also hopes to provide a reference for promoting the coordinated development between the two. This paper constructs the evaluation index system of university S&T innovation and sustainable economic development separately and evaluates the indicators of university S&T innovation and sustainable economic development in 30 provincial regions in China from 2011 to 2020. On this basis, a coupling coordination degree model is constructed to evaluate the coupling coordination degree of university S&T innovation and sustainable economic development. Accordingly, this paper puts forward suggestions for promoting the coordinated development between university S&T innovation and sustainable economic development. [ABSTRACT FROM AUTHOR]

This study investigates the spatial-temporal evolution and the interconnectedness of land use/cover change (LUCC) and ecosystem service value (ESV). Such analysis can offer theoretical guidance and support decision-making for sustainable land resource development and ecological preservation in ecologically vulnerable cities within the Loess Plateau-Maowusu Desert transition zone. Utilizing Landsat data spanning 2000–2020, the paper examines the synergistic relationship between ESV and land use intensity in Shenmu City through bivariate spatial autocorrelation and the coupled coordination degree (CCD) model. Our findings indicate that the area of construction land in Shenmu City experienced the most significant change between 2000 and 2020, with a dynamism rate of 76.8%. This shift resulted in a decrease in the total ESV, from RMB 10.059 billion in 2000 to RMB 9.906 billion in 2020. The bivariate spatial autocorrelation analysis reveals a significant positive spatial correlation between ESV and land use intensity, while the CCD levels for both demonstrate a fluctuating yet overall upward trend over the 20-year period. The paper uncovers the spatial-temporal evolution of LUCC and ESV in Shenmu City along with their interconnected dynamics. The research outcomes can contribute valuable insights for reinforcing land resource utilization and promoting sustainable regional development within cities in the Loess Plateau-Maowusu Desert transition zone. [ABSTRACT FROM AUTHOR]

The coupling and coordination between green finance (GF) and economic resilience (ER) are the foundation of sustainable economic development. This paper uses the panel data of 30 provinces (autonomous regions and municipalities) in mainland China from 2011 to 2021 to calculate the comprehensive development level of the two systems by the entropy weight method. At the same time, we analyze the spatiotemporal evolution characteristics of the coupling coordination degree of the two systems by using the coupling coordination degree model, kernel density curve, spatial autocorrelation model, and Markov transition matrix. The results show that (1) the development level of ER increased steadily while that of GF fluctuated. The coupling coordination degree of the two systems shows an increasing trend. (2) The coupling coordination level of the two systems presents a spatial gradient pattern of "East > Middle > West". (3) The level of coupling coordination has an obvious spatial correlation. (4) The coupling coordination level in our country remains stable in the future, and there is a possibility of transition to a higher level. The research of this paper provides valuable enlightenment for implementing a sustainable development strategy in China. [ABSTRACT FROM AUTHOR]

With digital technologies injecting a strong impetus into China's sustainable agricultural development, the digital village is a new path for Chinese agricultural development. This paper focuses on digital village and sustainable agricultural development, in which the situation of digital village and green and high-quality agricultural development in China from 2010 to 2019 is measured based on the entropy weight–TOPSIS method and coupling coordination model and further explores the spatiotemporal evolution of their coupling coordination. In addition, it studies the factors which influence the coupling coordination of digital village and green and high-quality agricultural development using a geographical detector. The study shows that both digital villages and green and high-quality agricultural development in China show good momentum. In terms of the spatial pattern, cities on the southeast coast witness better development of digital villages, and the southern regions enjoy a higher degree of green and high-quality development in agriculture. The coupling coordination between digital villages and green and high-quality agricultural development shows a fluctuating upward trend in the eastern regions. Some of the influence factors play a significant role in the coupling coordination of digital villages and green and high-quality agricultural development, such as e-commerce, per capita income, innovation, and levels of income and education. On this basis, we suggest that the government should continuously promote the development of digital villages and improve rural governance to bridge the digital divide. In this case, policies to promote green and high-quality agricultural development through digitalization can be introduced according to local conditions, thus enabling sustainable agricultural development with the empowerment of digitalization. [ABSTRACT FROM AUTHOR]

In the context of global resource scarcity, the integrated and coordinated development of urban modernization and low-carbon development is becoming more and more crucial. In order to calculate the degree of coupling coordination between urban modernization and low-carbon growth in 31 Chinese provinces from 2010 to 2021, this paper thoroughly applies the entropy approach and coupling coordination model; the geographical correlation of the degree of coupling coordination of various regions was confirmed using the Moran's I test method; and by utilizing the gray correlation degree model, we examined the elements that affect the degree of coupling coordination between the two in the various provinces. We found that: (1) there are periodic fluctuations in the coupling coordination between the two during the research period, with a general rising tendency year after year; (2) the degree of coupling and coordination between the two shows the characteristics of HH clustering (eastern region) and LL clustering (western region); and (3) the degree of coupling and coordination between the two is influenced by different factors in different regions. Overall, low-carbon variables have a significant impact on the eastern area, but urban modernization factors have a significant impact on the central, western, and northeastern regions. This study can provide policy recommendations for provincial governments in various regions, help identify favorable factors for coordinated development, and improve the role of some influencing factors in a targeted manner, thereby improving the level of urban modernization and low-carbon coordinated development and promoting urban development and ecological harmony. [ABSTRACT FROM AUTHOR]

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A suitable living environment is the common aspiration of city residents and the inherent requirement of sustainable development. This paper takes 114 resource-based cities in China as the research objects, constructs a pseudo human settlement environment (PSH) system based on network data, and constructs a real human settlement environment (RSH) system based on traditional data, measures the coupling coordination degree of the pseudo and real human settlement environment, and uses Fuzzy-set Qualitative Comparative Analysis (fsQCA) to analyze its improvement path. The conclusions are as follows: (1) The evaluation index of real human settlements in China's resource-based cities continues to grow, and the evaluation index of pseudo human settlements increases first and then decreases. (2) The coupling coordination degree between the resource-based pseudo city and the real human settlement environment presents an inverted U-shaped change trend, and the overall distribution presents a three-level ladder-like distribution of east-central-west. (3) A single condition has a weak ability to explain the coupling coordination degree of human settlements; the coupling coordination degree of resource-based cities has formed three improvement paths: opening + finance driven model, opening + education + finance driven model, and education + finance driven model. [ABSTRACT FROM AUTHOR]

Sports facilities are a crucial physical safeguard and means of sustaining sporting activities. The steady and healthy development of sports facilities can promote the sustainable development of the social economy. In order to explore the coordination status and influencing factors between sports facilities construction and the social economy, this paper built a coupling coordination evaluation index system and dynamic factor index system for the sports facilities construction and social economy development by using the entropy method, coupling coordination model and random effect model. This paper assessed the comprehensive level, coupling coordination relationship, and influencing factors of the sports facilities and social economy development of nine cities in the Fujian Province across China from 2016 to 2020. The results show the overall level of sports facilities construction in Fujian is better than the social economy development, and the two systems are interacting with each other. The level of coupling and coordination gradually changes from good coordination to quality sustainable coordination. The coupling coordinated relationship between the two systems is developing in a positive way. In addition, industrial development, the level of urban development, and environmental development as influencing factors have a clear positive effect on the degree of coupling coordination. This study provides several recommendations for cities to achieve sustainable coordinated development. This paper also may provide a direction and path for future research. [ABSTRACT FROM AUTHOR]