Spatial Distribution Characteristics and Influencing Factors of Key Rural Tourism Villages in China
Yunxing Zhang,
Weizhen Li,
Ziyang Li,
Meiyu Yang,
Feifei Zhai,
Zhigang Li,
Heng Yao and
Haidong Li ()
Additional contact information
Yunxing Zhang: School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China
Weizhen Li: School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China
Ziyang Li: School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China
Meiyu Yang: School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China
Feifei Zhai: School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China
Zhigang Li: School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China
Heng Yao: L&A Academy, Shenzhen L&A Design Holding Limited, No.6 Xinghua Road, Shenzhen 518067, China
Haidong Li: School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China
Sustainability, 2022, vol. 14, issue 21, 1-26
Abstract:
Key villages of rural tourism have become an important carrier for the high-quality development of rural tourism. The precise identification of the spatial distribution characteristics and influencing factors of rural tourism key villages is of great value in promoting the quality upgrading of rural tourism in China and realizing the goal of rural revitalization strategy. The aim is to realize the complementary coordination and integration of urban and rural areas, promote rural transformation and increase farmers’ incomes. Taking three batches of 1199 key rural tourism villages in China as research samples, the nearest neighbor index, disequilibrium index and kernel density methods were used to reveal the spatial differentiation characteristics of key rural tourism villages and the influencing factors were further analyzed using the geographical connection rate and buffer analysis. The results showed that (1) the key villages of rural tourism demonstrated a typical agglomeration in the spatial distribution, with the Hu Huanyong line as the obvious boundary. (2) The very high-density agglomeration centers were mainly located in the Beijing–Tianjin–Hebei region and the Yangtze River Delta region, while the high-density agglomeration zones were mainly located in the North China Plain on the east side of the Taihang Mountains and the middle and lower reaches of the Yangtze River Basin. (3) The spatial distribution characteristics of hot regions were in the central and eastern regions; however, the cold regions were in the northwest and northeast regions. (4) The spatial distribution characteristics of key rural tourism villages were the result of the interaction and coupling of multiple factors. The key villages of rural tourism were mainly distributed in plain and hilly areas with dense river networks, dense populations, high levels of economic development, developed transportation and suburban areas.
Keywords: rural tourism key villages; rural tourism; spatial distribution; influencing factors; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
https://www.mdpi.com/2071-1050/14/21/14064/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/21/14064/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:21:p:14064-:d:956339
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().