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干旱区地理 ›› 2025, Vol. 48 ›› Issue (7): 1233-1242.doi: 10.12118/j.issn.1000-6060.2024.523 cstr: 32274.14.ALG2024523

• 旅游地理 • 上一篇    下一篇

旅游经济高质量发展测度及影响因素分析——以新疆为例

石卓达(), 杨宏伟()   

  1. 石河子大学经济与管理学院,新疆 石河子 832000
  • 收稿日期:2024-09-01 修回日期:2024-11-26 出版日期:2025-07-25 发布日期:2025-07-04
  • 通讯作者: 杨宏伟(1967-),男,教授,主要从事旅游经济与经济统计研究. E-mail: yanghongwei5@xjshzu.com
  • 作者简介:石卓达(2000-),男,硕士研究生,主要从事经济统计研究. E-mail: shizhuoda@xjshzu.com
  • 基金资助:
    国家社会科学基金项目(20XJY013)

Measurement and influencing factors of high-quality development of tourism economy: A case of Xinjiang

SHI Zhuoda(), YANG Hongwei()   

  1. School of Economics and Management, Shihezi University, Shihezi 832000, Xinjiang, China
  • Received:2024-09-01 Revised:2024-11-26 Published:2025-07-25 Online:2025-07-04

摘要: 文旅产业作为新疆第九大产业集群,旅游经济高质量发展对新疆实现现代化具有引领作用。基于“质量、效益与游客体验”3个视角,构建旅游经济高质量发展的7维测度体系,对新疆2008—2023年的旅游经济高质量发展水平进行测算,利用GIS空间可视化分析其时空演变特征,并通过障碍度模型识别其障碍来源,最后运用因子分析和灰色关联分析探究其影响因素。结果表明:(1) 新疆旅游经济高质量发展水平的起点较低,但在2018年提出“旅游兴疆”战略之后提升较快。(2) 新疆旅游经济高质量发展水平存在显著的时空差异,整体呈现出北强南弱、东西相贯的特点,具体表现为乌鲁木齐市、伊犁哈萨克自治州直属县市、阿勒泰地区和喀什地区“四轮驱动”演化特征和“一核三点”共生发展格局。(3) 新疆总体旅游经济高质量发展的主要障碍在于区域创新能力不强;旅游经济高质量发展水平较低地区的主要障碍在于旅游市场吸引力不强和文旅资源开发不足。(4) 影响新疆旅游经济高质量发展的主要因素是信息服务、经济支撑和旅游交通,次要因素是资源要素和旅游服务;其中,互联网的普及、居民可支配收入的提高、第三产业固定资产投资的增加和公路建设对新疆旅游经济高质量发展影响显著。

关键词: 旅游经济, 高质量发展, 时空演变, 障碍度模型, 因子分析, 灰色关联分析

Abstract:

As the ninth largest industry cluster in Xinjiang, the high-quality development of the tourism economy plays a leading role in the region’s modernization in China. This study constructs a seven-dimensional measurement system to evaluate the high-quality development of the tourism economy based on three perspectives: quality, efficiency, and tourist experience. The level of high-quality development in Xinjiang’s tourism economy from 2008 to 2023 is measured, employing geographic information systems spatial visualization to analyze its spatial and temporal evolution characteristics. In addition, the study identifies obstacle sources using the obstacle degree model and explores influencing factors through factor analysis and gray correlation analysis. The results indicate the following. (1) The initial level of high-quality development of the tourism economy in Xinjiang is low, but it has improved rapidly since the introduction of the “tourism to develop Xinjiang” strategy in 2018. (2) Significant spatial and temporal differences in the level of high-quality development are observed within Xinjiang’s tourism economy. The overall trend shows strong development in the north and weaker development in the south, with the east and west exhibiting coherence. This is specifically reflected in the cities of Urumqi, the Ili Kazakh Autonomous Prefecture, the Altay Prefecture, and the Kashgar Prefecture, demonstrating a “four-wheel drive” evolution and a “core of three points” symbiotic development pattern. (3) The overall high-quality development of the tourism economy in Xinjiang is primarily constrained by regional innovation capacity. Regions with lower levels of high-quality development face challenges due to a lack of tourism market attractiveness and underdeveloped cultural and tourism resources. (4) Key factors affecting the high-quality development of Xinjiang’s tourism economy include information services, economic support, and tourism transportation, whereas resource elements and tourism services are considered secondary factors. Notably, factors such as increased Internet accessibility, rising disposable incomes, higher fixed-asset investment in the tertiary industry, and expanded highway infrastructure significantly affect the high-quality development of Xinjiang’s tourism economy.

Key words: tourism economy, high-quality development, spatiotemporal evolution, barrier degree model, factor analysis, gray correlation analysis