Spatial association network structure of eco-efficiency and its influencing factors: Evidence from the Beijing-Tianjin-Hebei region in China

Luo, Gong-li; Wang, Xiaotong

doi:10.1016/j.ecolmodel.2022.110218

Cited by 10 publications

(5 citation statements)

References 28 publications

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“…According to the QAP regression analysis results, the R 2 is 0.592, and the adjustment R 2 is 0.586, indicating that the explanatory power of the selected variable on the formation of the spatial correlation network of ecological efficiency of cultivated use in the upper reaches of the Yangtze River is about 58.6%, explain that the model has strong explanatory power [ 1 ].…”

Section: Results and Analysismentioning

confidence: 99%

“…According to the definition of the ecological efficiency of cultivated land utilization, the utilization of cultivated land should not only ensure economic and social benefits but also reduce environmental pollution and waste of resources. Referring to previous research results [ 1 , 7 ] and the availability of data on Prefecture-level cities (autonomous prefectures) in the upper reaches of the Yangtze River, an input-output indicator system of Ecological efficiency of cultivated land utilization in the upper reaches of the Yangtze River is constructed, as shown in Table 1 . The input indicators include land input, labor input, agricultural machinery input, and chemical fertilizer input; the expected output indicators include the total grain output and the total agricultural output value; since the main pollution in grain production activities is carbon emissions, carbon emissions are taken as the undesired output.…”

Section: Methodsmentioning

confidence: 99%

“…The spatial correlation of cultivated land utilization ecological efficiency refers to the exchange of cultivated land ecological efficiency in different regions through direct or indirect forms and the resulting spatial interaction between regions [1][2][3]. Under the joint promotion of the current agricultural production marketization, scale, and cross-regional coordinated development strategies, various agricultural production factors are accelerating in space and spreading, and the ecological efficiency of cultivated land utilization has begun to show obvious spatial effects [4][5][6][7], and have begun to form a complex spatial network structure.…”

Section: Introductionmentioning

confidence: 99%

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Research on the characteristics and influencing factors of the spatial correlation network of cultivated land utilization ecological efficiency in the upper reaches of the Yangtze River, China

He,

Wang,

Feng

2024

PLoS ONE

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Researching the structural characteristics of the spatial correlation network of cultivated land utilization ecological efficiency is of great significance to China’s food security and agricultural green and low-carbon development. Taking 47 cities (autonomous prefectures) in the upper reaches of the Yangtze River as the research object, the ecological efficiency of cultivated land utilization from 2010 to 2020 was measured based on the unexpected output model (Super SBM), and the spatial correlation matrix was constructed using the revised gravity model. The structural characteristics of the spatial correlation network were analyzed using the social network model (SNA), and finally, the factors affecting the spatial correlation network of cultivated land utilization ecological efficiency in the upper reaches of the Yangtze River were analyzed through the quadratic assignment procedure (QAP) model. The results show that: (1) the ecological efficiency of cultivated land utilization in the upper reaches of the Yangtze River has been increasing year by year, but the overall level is low, and there is a large gap among provinces. Sichuan Province has the highest average value of 0.605, and Yunnan Province has the lowest average value of 0.359. (2) The ecological efficiency of cultivated land utilization in the upper reaches of the Yangtze River has broken through the provincial boundaries and has formed an obvious spatial correlation network, but the overall density is low, and the network is still relatively loose, needing further development and improvement. Chengdu, Yibin, Luzhou, and other cities are located in the center of the network and have formed four cohesive subgroups. (3)The differences in the level of agricultural economic development, the rural per capita disposable income, the differences in agricultural mechanization intensity, the regional population differences, and spatial adjacency have an impact on the spatial network of ecological efficiency of cultivated land utilization in the upper reaches of the Yangtze River. The difference in the level of agricultural economic development, the rural per capita disposable income, and the differences in agricultural mechanization intensity are negatively correlated, while the regional population differences are positively correlated with spatial adjacency.

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Section: Results and Analysismentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on the characteristics and influencing factors of the spatial correlation network of cultivated land utilization ecological efficiency in the upper reaches of the Yangtze River, China

He,

Wang,

Feng

2024

PLoS ONE

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“…The linkage consists of a line connecting two nodes, and the collection of multiple linkages constructs the whole association network [20]. The characteristic analysis index of the association network is used to explain the spatial distribution and association characteristics of a variable or factor in the network [21].…”

Section: Social Network Analysis Methodsmentioning

confidence: 99%

Exploring the Spatial Correlation Network and Influencing Factors of Green Economic Development in Typical Urban Agglomerations in China: A Case Study of the Yangtze River Delta

Quan,

Li,

Zhang

2024

Pol. J. Environ. Stud.

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Examining spatial network patterns and factors influencing the development of the green economy in typical urban agglomerations in China is crucial for optimizing resource allocation and achieving sustainable economic development. In this study, we utilized the SBM-GML model and a modified gravity model to analyze the roles and status of different regions in the spatial correlation of green economic development in the Yangtze River Delta urban agglomeration. We also employed social network analysis to visualize the spatial correlation structure and influencing factors. The research results indicate that the development of green economy is showing a fluctuating upward trend, accompanied by complex network structure characteristics. Cities such as Chizhou, Nanjing, and Shanghai exert significant control over other cities. The analysis of the block model indicates close intercity communication across various sectors, with heightened activity observed in the southeastern coastal areas. Moreover, the central region effectively enhances connectivity within the urban cluster, leading to notable spillover effects in certain cities. Government macroeconomic regulation, environmental regulation, industrial structure, external development, green innovation, and the level of new urbanization emerge as significant factors influencing the formation of the spatial correlation network of green economic development in the Yangtze River Delta urban agglomeration

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“…The research on tourism network attention primarily focuses on three aspects: 1. Focusing on the spatial and temporal variations and influencing factors of network attention in popular tourist cities or scenic spots 6,7 . 2.…”

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confidence: 99%

Spatio-temporal characteristics and influencing factors of Chinese tourism network attention: A case study of Kaifeng Millennium City Park

Wang

2024

Preprint

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The "Baidu Index" data sharing platform was used to obtain the Internet search index of Kaifeng Millennium City Park in 31 provinces of mainland China from 2011 to 2021. Combined with a regional economic disparity measure index, the paper analyzed the spatial disparity characteristics and impact factors of Internet attention in the Kaifeng Millennium City Park. The results show that: (1) The network attention of Kaifeng Millennium City Park in the whole country shows a fluctuation trend, and the second half of the year fluctuates more than the first half of the year. Seasonal differences are significant, but "big events" such as popular variety shows , chrysanthemum flower party and festival activities in recent years have caused tourism flows to essentially balance the off-season attention gap.(2) The network attention of Kaifeng Millennium City Park in different regions shows the spatial distribution characteristics of "high in the center and low in the west", among which the seasonal difference is the most prominent in the western region.(3) There are significant differences in network attention of Kaifeng Millennium City Park in eastern, central and western regions. The differences between regions decrease from year to year and the degree of agglomeration tends to moderate. Attention is scattered within the region and the spatial structure is relatively balanced. (4) The spatial and temporal differences of Internet attention in Kaifeng Millennium City Park are the result of comprehensive effects of economic development level, network development degree, social and demographic characteristics and geographic space distance.

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Spatial association network structure of eco-efficiency and its influencing factors: Evidence from the Beijing-Tianjin-Hebei region in China

Cited by 10 publications

References 28 publications

Research on the characteristics and influencing factors of the spatial correlation network of cultivated land utilization ecological efficiency in the upper reaches of the Yangtze River, China

Research on the characteristics and influencing factors of the spatial correlation network of cultivated land utilization ecological efficiency in the upper reaches of the Yangtze River, China

Exploring the Spatial Correlation Network and Influencing Factors of Green Economic Development in Typical Urban Agglomerations in China: A Case Study of the Yangtze River Delta

Spatio-temporal characteristics and influencing factors of Chinese tourism network attention: A case study of Kaifeng Millennium City Park

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