地理与地理信息科学

旅游业作为具有时代特征的富民产业，其高质量发展与共同富裕的协同推进是实现中国式现代化的重要路径。以甘肃省86个县域为研究对象，构建旅游经济与共同富裕综合评价指标体系，运用熵权TOPSIS方法、耦合协调度模型和地理探测器等方法，从片区、市域、县域多尺度视角，系统分析2010—2022年甘肃省旅游经济与共同富裕耦合协调的时空演化特征及分异机理。研究发现：(1)2010—2022年甘肃省旅游经济发展水平总体呈波动上升趋势，共同富裕水平则先升后降，二者均呈现明显尺度效应，旅游经济空间格局由“西高东低”阶梯式分布向碎片化、团块状演化，共同富裕水平由“西高东低”片状分布向“普遍偏低、零星偏高”转变。(2)旅游经济与共同富裕耦合协调度总体呈波动上升趋势，不同尺度区域间差异显著，且随区域缩小，协调度差异趋于扩大；耦合协调度空间集聚特征显著，总体呈“西高东低，极化领跑”格局，随时间推移，极化效应有所减弱，协同效应逐步增强。(3)道路长度、城乡居民储蓄存款、住宿餐饮零售总额、R&D经费支出占比与旅行社数量是影响耦合协调度空间分异的主导因子，且双因子交互驱动力显著强于单因子驱动力。根据研究结果提出相关建议，以期为文旅产业高质量发展与共同富裕协同推进提供参考。

As a prosperity-driving industry emblematic of modern development, the synergistic advancement of high-quality tourism development and common prosperity represents a crucial pathway for achieving Chinese-style modernization.Taking 86 county-level units in Gansu Province as the research subject, this study constructs a comprehensive evaluation index system for tourism economy and common prosperity.Utilizing methods such as the entropy-weighted TOPSIS method, the coupling coordination degree model, and geographical detector, it systematically analyzes the spatiotemporal evolution characteristics and differentiation mechanisms of their coupling coordination from multi-scale perspectives(regional, municipal, and county scales) from 2010 to 2022.It is found as follows.(1) From 2010 to 2022,the tourism economy in Gansu Province showed an overall fluctuating upward trend, whereas the level of common prosperity exhibited a trend of first increasing and then decreasing.Both displayed significant scale effects.The spatial pattern of the tourism economy evolved from a stepped distribution with higher level in the west and lower level in the east to a more fragmented and clumped distribution.The spatial pattern of common prosperity shifted from a "high in the west, low in the east" block-like distribution to a "generally low and locally high" spatial pattern.(2) The coupling coordination degree between tourism economy and common prosperity demonstrated an overall fluctuating upward trend, with significant variations across different scales.As the scale decreased, regional disparities in coordination tended to widen.The coupling coordination degree showed significant spatial agglomeration, generally presenting a pattern of "high in the west, low in the east, with polarized front-runners".While polarization effects diminished gradually, synergistic effects strengthened over time.(3) Length of road, urban and rural household savings deposits, total sales volume of accommodation, catering and retail, R&D expenditure ratios, and the number of travel agencies were identified as the dominant factors influencing the spatial differentiation of the coupling coordination degree.Interactions between paired factors generally exhibited either dual-factor enhancement or nonlinear amplification characteristics, with their combined driving force being significantly stronger than the effect of any single factor.