Spatial Patterns and Determinants of Bed and Breakfasts in the All-for-One Tourism Demonstration Area of China: A Perspective on Urban–Rural Differences

Ao Sun, Lin Chen (), Kunimitsu Yoshida and Meng Qu
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Ao Sun: School of Geography, South China Normal University, Guangzhou 510631, China
Lin Chen: School of Geography, South China Normal University, Guangzhou 510631, China
Kunimitsu Yoshida: Faculty of Geo-Environmental Science, Rissho University, Kumagaya 360-0194, Japan
Meng Qu: Center for Advanced Tourism Studies, Hokkaido University, Sapporo 060-0817, Japan

Land, 2023, vol. 12, issue 9, 1-21

Abstract: The spatial structure of Bed and Breakfast (B&B) development plays a crucial role in promoting integrated urban–rural development. However, existing B&B research has predominantly focused on single large cities, neglecting to explore the spatial patterns of B&B development and their influencing factors from the perspective of urban–rural differences. To address this gap, we conducted a comprehensive case study in an all-for-one tourism demonstration area in Hainan Province, China. We adopt geospatial analysis methods and ridge regression models to investigate the characteristics of urban–rural disparities in B&B distribution and to identify the primary factors influencing their spatial arrangement. The research findings reveal valuable insights: (1) B&B establishments in the tourism demonstration area exhibit clustering with notable variations in clustering intensity between urban and rural regions; (2) essential factors affecting the spatial distribution of B&Bs include transportation accessibility, reliance on tourism attractions, B&B development infrastructure, and the availability of living services; (3) tourism resource dependence emerges as the most significant driving force behind B&B agglomerations in the tourism demonstration area; and (4) road network density, hotel service availability, and neighborhood residential density are three additional critical factors affecting B&B distribution, with their influence varying between urban and rural B&Bs. Based on these key findings, we propose development strategies for optimizing B&Bs’ spatial structure in the tourism demonstration area and outline a blueprint for fostering integrated urban–rural development.

Keywords: B&B; all-for-one tourism demonstration area; urban–rural difference; ridge regression analysis; Hainan province; China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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