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干旱区地理 ›› 2022, Vol. 45 ›› Issue (2): 628-638.doi: 10.12118/j.issn.1000–6060.2021.173 cstr: 32274.14.ALG2021173

• 区域发展 • 上一篇    下一篇

黄河流域旅游经济与生态环境协调发展时空演变及影响因素探究

谷昊鑫1(),秦伟山1,2(),赵明明1,孙海燕1,王富喜1   

  1. 1.鲁东大学资源与环境工程学院,山东 烟台 264025
    2.中国科学院地理科学与资源研究所,北京 100101
  • 收稿日期:2021-04-16 修回日期:2021-09-27 出版日期:2022-03-25 发布日期:2022-04-02
  • 作者简介:谷昊鑫(1997-),男,硕士研究生,主要从事区域发展与产业规划研究. E-mail: ghx370202@126.com
  • 基金资助:
    国家社会科学基金青年项目资助(19CGL070)

Spatial and temporal evolution and influencing factors of coordinated development of tourism economy and ecological environment in the Yellow River Basin

GU Haoxin1(),QIN Weishan1,2(),ZHAO Mingming1,SUN Haiyan1,WANG Fuxi1   

  1. 1. School of Resources and Environmental Engineering, Ludong University, Yantai 264025, Shandong, China
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2021-04-16 Revised:2021-09-27 Published:2022-03-25 Online:2022-04-02

摘要:

基于黄河流域66个中心城市(市、地区、州、盟)旅游经济系统和生态环境系统的面板数据,运用耦合协调模型、空间自相关分析及地理探测器等方法,以2008、2013、2018年为时间节点,对黄河流域旅游经济系统与生态环境系统耦合协调水平的时空演变特征以及影响因素进行探析。结果表明:(1) 2008年黄河流域95%的中心城市旅游经济系统与生态环境系统耦合协调水平均处于中度协调及以上等级;2013年黄河流域60%以上的中心城市2个系统耦合协调水平调整为高度协调等级,流域整体呈现“东高西低”的非均匀分布规律;2018年黄河流域88%以上的中心城市2个系统耦合协调水平处于高度协调及以上等级。(2) 黄河流域旅游经济系统与生态环境系统协调发展的空间聚类情况逐年调整,流域内上游省(区)冷点显著区不断缩聚,呈组团分布在青海省东部、甘肃省中部等地区;中下游省(区)热点显著区持续向河南省中部、山东省西部等地区移动并聚拢。(3) 政府对于旅游业扶持和对生态环境的保护与整治力度及近3 a节能环保支出年均增长率依次是影响黄河流域2个系统协调发展最重要的驱动力,每万人发明专利拥有量、出租车保有量等驱动因子的影响效应呈现先缓升后减弱的态势,以科学研究与试验发展经费(Research and development,R&D)支出占国内生产总值(GDP)比重为表征的科技素质教育要素对黄河流域2个系统协调发展的影响较不显著。本研究探寻了黄河流域旅游经济与生态环境协调发展的路径,为进一步提升黄河生态经济带高质量发展水平提出理论参考。

关键词: 旅游经济, 生态环境, 时空演变, 黄河流域

Abstract:

According to the panel data of tourism economic system and ecological environment system in 66 central cities (cities, prefectures and leagues) in the Yellow River Basin, China, this paper considered the years of 2008, 2013, and 2018 as time nodes to analyze the spatiotemporal evolution characteristics and influencing factors of coupling coordination level between tourism economic and ecological environment systems in the Yellow River Basin using the coupling coordination model, spatial autocorrelation analysis, and geographic detector. The results showed that: (1) In 2008, 95% of the central cities in the Yellow River Basin had a moderate coupling coordination level between tourism economic and ecological environment systems or above. In 2013, more than 60% of the central cities in the Yellow River Basin adjusted to a high coordination level. The overall situation of the entire basin showed a nonuniform distribution of “high in the east and low in the west”. In 2018, more than 88% of the central cities in the Yellow River Basin had a high coupling coordination level or above. (2) The spatial clustering of tourism economic and ecological environment systems in the Yellow River Basin was adjusted yearly. The cold spot-marked areas of upstream provinces in the basin clustered continuously and distributed in the eastern part of Qinghai Province and the central part of Gansu Province. Additionally, hot spot-marked areas of middle and lower provinces and regions continued to move and gather to the central part of Henan Province, the western part of Shandong Province, and other regions. (3) The government’s support for tourism and the protection and remediation of the ecological environment, annual growth of expenditure on energy conservation, and environmental protection were the most important driving forces affecting the coordinated development of the two systems in the Yellow River Basin successively. The influence of driving factors, such as the number of invention patents per 10000 people and the number of taxis, increased slowly and then weakened. The science and technology quality education represented by the proportion of research and development expenditure in gross domestic product influenced the coordinated development of the two systems in the Yellow River Basin indistinctively. This study investigated the path of the coordinated development between tourism economic and ecological environment systems in the Yellow River Basin. It provides a theoretical reference for the further improvement of the high-quality development of the Yellow River Ecological Economic Belt.

Key words: tourism economy, ecological environment, spatial and temporal evolution, the Yellow River Basin