“一带一路”共建国家旅游生态效率的时空演变规律及其影响因素
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F592.99,F062.2,K901

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重庆市社会科学规划重大项目“重庆发展现代生产性服务业研究”(2024ZXZD03); 重庆市教委科学技术重点项目(KJZD-K202401109); 重庆市教委人文社会科学研究项目(23SKJD111); 重庆市高等教育教学改革研究项目(233337); 重庆市教育研究院规划项目(K23YG2110387); 重庆市研究生科研创新项目


Spatiotemporal evolution of tourism eco-efficiency and its influencing factors in ‘Belt and Road Initiative’ partner countries
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    摘要:

    [目的] 探究“一带一路”共建国家旅游生态效率的时空演变及影响因素,为旅游业可持续发展提供科学依据。[方法] 基于投入—产出视角建立旅游生态效率指标体系,采用改进4阶段DEA模型对2000—2021年52国旅游生态效率进行测度。利用空间自相关与空间杜宾模型,分析旅游生态效率空间演变特征、影响因素以及空间溢出效应。[结果] ①“一带一路”共建国家旅游生态效率总体呈现上升趋势; ②“一带一路”共建国家旅游生态效率发展呈现显著空间分异特征,区域内效率值差距较大; ③高—高集聚区主要集中在中国以及其邻国如泰国,老挝等,符合经济发展一般规律;低—低集聚区主要分布在沙特阿拉伯、阿曼等国家;低—高集聚、高—低集聚区较少; ④城镇化率、富裕程度对旅游生态效率具有显著正向影响,基础设施水平、人口结构对旅游生态效率具有显著负向影响,产业结构水平、对外开放水平对旅游生态效率产生负向影响但并不显著,同时空间溢出效应显著。[结论] 部分指标显著影响“一带一路”共建国家的旅游生态效率,从影响指标入手推动沿线各国旅游业发展,充分发挥部分国家的带动作用是提升共建国家旅游生态效率的关键。

    Abstract:

    [Objective] The spatiotemporal evolution of tourism eco-efficiency and its influencing factors were explored in ‘the Belt and Road Initiative’ (BRI) partner countries to provide scientific evidence for the sustainable development of tourism. [Methods] A tourism eco-efficiency indicator system was established, utilizing an input-output perspective. An improved four-stage Data Envelopment Analysis (DEA) model was adopted to measure the tourism eco-efficiency of 52 countries along the BRI from 2000 to 2021. Spatial autocorrelation and the Spatial Durbin Model (SDM) were utilized to analyze the spatial evolution characteristics, influencing factors, and spatial spillover effects of tourism eco-efficiency. [Results] ① Tourism eco-efficiency of the BRI countries exhibited an upward trend. ② There was significant spatial differentiation in tourism eco-efficiency development among BRI countries, with large disparities in values. ③ High-high agglomeration areas were primarily concentrated in China and its neighboring countries such as Thailand and Laos, aligning with general economic development patterns. Low-low agglomeration areas were mainly distributed in countries such as Saudi Arabia and Oman. Low-high and high-low agglomeration areas were relatively scarce. ④The urbanization rate and wealth level had significant positive impacts on tourism eco-efficiency, while the infrastructure level and population structure had significant negative impacts. Industrial structure and openness levels negatively impacted tourism eco-efficiency, although not significantly, with notable spatial spillover effects. [Conclusion] Certain factors significantly influenced the tourism eco-efficiency of BRI countries. Enhancing tourism eco-efficiency requires targeting these influencing factors while leveraging the driving influence of select BRI countries to promote the development of tourism.

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杨光明,盛红霞,秦艺支,李大容,周旅,张熠瑜.“一带一路”共建国家旅游生态效率的时空演变规律及其影响因素[J].水土保持通报,2025,45(3):307-318

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  • 收稿日期:2024-12-04
  • 最后修改日期:2025-02-05
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  • 在线发布日期: 2025-06-28
  • 出版日期: 2025-06-15