Reconstructing high-quality tourism spatial structure: an empirical study of Shanxi Province from the perspective of supply and demand
Liangkai Song (),
Rosniza Aznie Cr (),
Rosmiza Mz () and
Sisi Chen ()
Additional contact information
Liangkai Song: Universiti Kebangsaan Malaysia
Rosniza Aznie Cr: Universiti Kebangsaan Malaysia
Rosmiza Mz: Universiti Kebangsaan Malaysia
Sisi Chen: Universiti Kebangsaan Malaysia
The Annals of Regional Science, 2025, vol. 74, issue 3, No 12, 28 pages
Abstract:
Abstract The spatial structure of tourism plays a crucial role in regional development, as it not only improves resource utilization efficiency but also enhances regional competitiveness and development potential through spatial agglomeration effects. However, previous studies on tourism spatial structure tend to focus on a single perspective, leading to a lack of a thorough understanding of the tourism activity, thereby affecting the effectiveness of policies. Based on commonly used academic perspectives, this study uses ArcGIS spatial analysis to examine Shanxi Province’s tourism resource data from government supply and visitor demand dimensions. Results reveal that single-perspective analysis fails to fully capture the complexity of tourism spatial distribution, highlighting the need for a high-quality spatial structure. Thus, this study applies the theory of the ‘pole-axis’ to reconstruct the spatial structure of tourism in Shanxi Province. It also proposes the layout of ‘one pole, three axes, four districts, and seven centres.’ offering a theoretical foundation for optimizing Shanxi’s tourism spatial structure and strategic guidance for sustainable development. Moreover, it provides strategic guidance for developing high-quality tourism spatial structures in other regions.
JEL-codes: R12 R58 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s00168-025-01406-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:anresc:v:74:y:2025:i:3:d:10.1007_s00168-025-01406-1
Ordering information: This journal article can be ordered from
http://link.springer.com/journal/168
DOI: 10.1007/s00168-025-01406-1
Access Statistics for this article
The Annals of Regional Science is currently edited by Martin Andersson, E. Kim and Janet E. Kohlhase
More articles in The Annals of Regional Science from Springer, Western Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().