气候变化领域集成服务门户(CCPortal): Structural characteristics and influencing factors of a spatial correlation network for tourism environmental efficiency in China

CCPortal

DOI	10.1038/s41598-024-52434-4
	Structural characteristics and influencing factors of a spatial correlation network for tourism environmental efficiency in China
	Liao, Zhenjie; Zhang, Lijuan; Wang, Xuanfei; Liang, Shan
发表日期	2024
ISSN	2045-2322
起始页码	14
结束页码	1
卷号	14 期号:1
英文摘要	The tourism industry in China presents uneven tourism efficiency but deepening spatial associations; thus, tourism resources must be more rationally allocated. In this study, the highly efficient SBM model was used to measure the tourism environmental efficiency of 31 provinces in China. A spatial correlation network is then constructed based on the gravity model, and the structural characteristics and influencing factors of the network are analyzed. The results show that (1) the overall tourism environmental efficiency in China presents a fluctuating growth trend, with significantly higher values observed in the eastern region than in the central and western regions; moreover, the growth in efficiency in the eastern region has been relatively stable in recent years, that in the central region has increased, while that in the western region has significantly declined. (2) A spatially linked network with a stable tourism environmental efficiency structure has been formed in China. The number of network relations and density of the network fluctuate and increase, while the network efficiency continues to decrease; however, a strong small-world nature is observed. (3) An obvious network core-edge structure is observed, with Shanghai, Beijing, Zhejiang, and Jiangsu at the center showing a significant intermediary role and remote provinces such as Tibet, Xinjiang, Ningxia, and Inner Mongolia at the edge showing fewer connections. (4) The four major plates of China based on the CONCOR algorithm are sparsely connected internally and show strong inter-plate connections and spillover effects. (5) The industry support capacity difference matrix, technological development level difference matrix, transportation accessibility difference matrix, and environmental regulation level difference matrix significantly and positively affect spatial associations, while the geographical distance matrix significantly and negatively affect spatial association relationship establishment. These findings have important theoretical and practical significance for the sustainable development of tourism in China's provinces and cities.
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001156412600087
来源期刊	SCIENTIFIC REPORTS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303221
作者单位	Guangdong University of Finance & Economics
推荐引用方式 GB/T 7714	Liao, Zhenjie,Zhang, Lijuan,Wang, Xuanfei,et al. Structural characteristics and influencing factors of a spatial correlation network for tourism environmental efficiency in China[J],2024,14(1).
APA	Liao, Zhenjie,Zhang, Lijuan,Wang, Xuanfei,&Liang, Shan.(2024).Structural characteristics and influencing factors of a spatial correlation network for tourism environmental efficiency in China.SCIENTIFIC REPORTS,14(1).
MLA	Liao, Zhenjie,et al."Structural characteristics and influencing factors of a spatial correlation network for tourism environmental efficiency in China".SCIENTIFIC REPORTS 14.1(2024).