Spatial Network Structure of China’s Provincial-Scale Tourism Eco-Efficiency: A Social Network Analysis

Liu, Qingfang; Song, Jian; Dai, Teqi; Xu, Jianhui; Li, Jianmei; Wang, Enru

doi:10.3390/en15041324

Cited by 10 publications

(9 citation statements)

References 36 publications

(65 reference statements)

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“…The current social network analysis method mainly includes the Granger causality test and gravity model for determining the strength of spatial connections, but the Granger causality test is sensitive to the lag order and cannot describe the dynamic characteristics of the association network. Therefore, this paper uses the revised gravitational model to measure the gravitational value of the ecological efficiency of cultivated land utilization between cities [ 35 ]. The calculation formula is: …”

Section: Methodsmentioning

confidence: 99%

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: Methodsmentioning

confidence: 99%

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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“…At present, academic research on sustainable tourism [16][17][18], low-carbon tourism [9,10], and green ecotourism focuses on tourism eco-efficiency [13,15], the interaction between tourism eco-efficiency and tourism economy [15][16][17][18][19][20], etc.…”

Section: Literature Reviewmentioning

confidence: 99%

“…First, researchers introduced the concept of eco-efficiency into the framework of sustainable tourism [15,21,22]. As a completely new field, the role of tourism eco-efficiency is to enable the diversification of tourism products and services, reduce waste of resources, reduce pollutant emissions, provide core indicators for effective assessment, and advance the sustainable development of the tourism sector [17][18][19][20][21][22][23]. From the existing research results, researchers have measured tourism eco-efficiency using carbon dioxide emissions as a measure of tourism's impact on the environment and the ecological footprint as a measure of tourism's impact on the environment [14,15,24].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The differences in industrial structure, tourism specialisation, and tourism consumption patterns among Chinese provinces all contribute to the uneven development of regional tourism eco-efficiency in China, reinforcing spatial heterogeneity and making it increasingly difficult to coordinate governance and control among regions [11,16]. Little research has been conducted to examine the spatial and temporal characteristics and mechanisms of tourism eco-efficiency across provinces as well as the existence of convergent spatial and temporal characteristics [15,17]. In view of this, this paper used the models of epsilon-based measure (EBM) and data envelopment analysis (DEA) to measure and analyse the provincial tourism eco-efficiency in China from 2002 to 2018 to explore the temporal evolution of tourism eco-efficiency through the Malmquist-Luenberger (ML) index and to explore the spatial and regional differences in its distribution.…”

Section: Introductionmentioning

confidence: 99%

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Spatial–Temporal Evolution and Influencing Mechanism of Tourism Ecological Efficiency in China

Guo

Wang

2022

Sustainability

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Although the development of tourism has a positive impact on local employment and economic growth, the high level of energy consumption and emissions generated by tourism have also attracted increasing attention. Based on the concept of tourism eco-efficiency, this article constructs a comprehensive evaluation system for tourism eco-efficiency in China, and the study concludes that (1) China’s tourism eco-efficiency as a whole was in a fluctuating upward trend from 2002 to 2018, but different provinces of tourism eco-efficiency varied greatly, and the range of tourism eco-efficiency on spatial spill-over increased significantly; (2) the impact of tourism economic development on tourism eco-efficiency was not significant over time, and the impact of tourism eco-efficiency on the sustainable development of the tourism economy in the western region was weaker; (3) the contribution of tourism economic development to tourism eco-efficiency was low at the national level, with regional levels ranging from large to small for the western region, the central region, and the eastern region. The contribution of tourism eco-efficiency to the tourism economy was also low at the national level, with the central, eastern, and western regions ranked in descending order at the regional level.

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“…Although the dichotomous method is convenient in terms of data collection and input, image output, and a sparse study structure, the premise is that the appropriate threshold is selected. Referring to existing research[33,35], the average value of each row of data is taken as the threshold and binarized to construct the spatial correlation matrix of TES. If the strength of the connection exceeds the threshold value, the value is 1, suggesting that there is a TES connection between provinces; otherwise, the value is 0, indicating that there is no connection.2.1.4.…”

mentioning

confidence: 99%

Exploring Spatial Correlations of Tourism Ecological Security in China: A Perspective from Social Network Analysis

Wang

Huang

Wang

2023

IJERPH

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The imbalance of regional tourism ecological security (TES) is an important barrier to the sustainable development of tourism. Relying on the spatial correlation network to coordinate the regional TES is effective. Taking 31 provinces in China as examples, social network analysis (SNA) and the quadratic assignment procedure (QAP) are used to analyze the spatial network structure of TES and its influencing factors. The results show that (1) the network density and the number of network relationships increased, while the network efficiency remained at approximately 0.7, and the network hierarchy decreased from 0.376 to 0.234. (2) Jiangsu, Guangdong, Shandong, Zhejiang, and Henan were always more central than the average and dominated. Anhui, Shanghai, and Guangxi have much lower centrality degrees than the average, with little effect on other provinces. (3) The TES networks could be divided into four parts: “net spillover”, “agent”, “bidirectional spillover” and “net benefit”. (4) The differences in economic development level, tourism industry dependence, tourism load level, educational attainment, investment in environmental governance, and transportation accessibility all had a negative impact on the TES spatial network, whereas geographic proximity had a positive driving effect. In conclusion, the spatial correlation network of provincial TES in China is increasingly close, but the network structure is loose and hierarchical. The core–edge structure is obvious, and there are significant spatial autocorrelations and spatial spillover effects between provinces. The difference in regional influencing factors has a significant effect on the TES network. This paper presents a new research framework for the spatial correlation of TES and provides a Chinese solution to promote the sustainable development of tourism.

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Spatial Network Structure of China’s Provincial-Scale Tourism Eco-Efficiency: A Social Network Analysis

Cited by 10 publications

References 36 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

Spatial–Temporal Evolution and Influencing Mechanism of Tourism Ecological Efficiency in China

Exploring Spatial Correlations of Tourism Ecological Security in China: A Perspective from Social Network Analysis

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