Tourism College, Sichuan University, Chengdu, China.
School of Economics and Management, Southeast University, Nanjing, China.
PLoS One. 2024 Mar 13;19(3):e0299459. doi: 10.1371/journal.pone.0299459. eCollection 2024.
China's tourism economy has experienced significant regional disparities. However, little attention has been paid to understanding the intricate mechanisms through which the interplay of influential factors gives rise to such disparities. Utilizing statistical data from the tourism economy of 31 provinces in mainland China, this study investigates regional tourism economic disparity through the asymmetric modeling of fuzzy set qualitative comparative analysis (fsQCA). The findings reveal that the causes of regional tourism economic disparity exhibit asymmetry; varying approaches contribute to the formation of high and low levels of tourism economy; the functioning of the most influential factors is impacted by other antecedent conditions, presenting an asymmetric non-linear effect; favorable transportation convenience is a necessary condition for a high level of tourism economy, while poor tourism attraction is a necessary condition for a low level of tourism economy. This research not only introduces a fresh perspective on regional tourism economic disparities, enabling an in-depth comprehension of the complex interactions and nonlinear functional mechanisms of influential factors, but also explores a region-based tourism development model, offering valuable practical guidance for policymakers in the tourism sector.
中国旅游业经济存在显著的地区差异。然而，对于理解影响因素的相互作用如何导致这种差异的复杂机制，关注甚少。本研究利用中国大陆 31 个省份的旅游业经济统计数据，通过模糊集定性比较分析（fsQCA）的非对称建模，探讨了区域旅游经济差异。研究结果表明，区域旅游经济差异的原因存在非对称性；不同的方法有助于形成高和低水平的旅游经济；最具影响力的因素的作用受到其他先行条件的影响，呈现出非对称的非线性效应；便利的交通条件是高水平旅游经济的必要条件，而较差的旅游吸引力是低水平旅游经济的必要条件。本研究不仅为区域旅游经济差异带来了新的视角，使人们能够深入理解影响因素的复杂相互作用和非线性功能机制，还探索了基于区域的旅游发展模式，为旅游部门的政策制定者提供了有价值的实践指导。
