新疆财经

新疆财经 ›› 2019,Issue (2): 72-80.doi: 10.16716/j.cnki.65-1030/f.2019.02.007

• 丝路研究 • 上一篇    

“一带一路”沿线省(区市)旅游服务贸易:竞争力评价及提升对策

王霞1, 孙超1, 崔春雨2   

  1. 1.新疆财经大学 国际经贸学院,新疆 乌鲁木齐 830012;
    2.新疆财经大学 旅游学院,新疆 乌鲁木齐 830012
  • 收稿日期:2019-02-26 出版日期:2019-04-25 发布日期:2020-10-29
  • 作者简介:王霞(1975—),女,副教授,博士,研究方向:区域经济与新疆外经贸;孙超(1994—),男,硕士研究生,研究方向:周边国家经济与区域经济一体化;崔春雨(1994—),女,硕士研究生,研究方向:旅游开发与管理。
  • 基金资助:
    国家社会科学基金西部项目“推动新疆边境地区深度融入‘一带一路'建设研究”(18XMZ055);新疆维吾尔自治区普通高校人文社会科学重点研究基地中国(新疆)与中亚区域经济合作研究中心招标课题重点项目“新时期新疆陆路口岸城镇化发展模式创新研究”(050116B02)

Evaluation of Tourism Service Trade Competitiveness of Provinces (Districts and Cities) along The Belt and Road and Countermeasures

Wang Xia, Sun Chao, Cui Chunyu   

  1. Xinjiang University of Finance and Economics, Urumqi 830012, China
  • Received:2019-02-26 Online:2019-04-25 Published:2020-10-29

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摘要： 旅游服务贸易已成为世界主要服务贸易类型,“一带一路”倡议的提出为我国旅游服务贸易的发展提供了新的机遇。本文以我国“一带一路”沿线14个省(区市)为研究对象,采用2016年截面数据,构建了包括6个一级指标和13个二级指标的旅游服务贸易竞争力评价指标体系。运用因子分析法提取出旅游服务贸易发展现状及规模、旅游业人才支持、旅游服务贸易发展潜力3个主因子,对14个省(区市)旅游服务贸易竞争力进行了综合评价,排名前5位的分别为广东、福建、浙江、上海、云南。此外,运用聚类分析法将14个省(区市)旅游服务贸易竞争力分为了发达型、次发达型、中等发达型、初等发达型、欠发达型,并根据不同类型的旅游服务贸易竞争力特征提出了进一步发展的对策建议。

关键词: 旅游服务贸易, “一带一路”, 竞争力评价

Abstract: Trade in tourism services has become the world's largest type of service trade, and the proposal of The Belt and Road Initiative (BRI) has provided new opportunities for the development of tourism service trade in China. In this paper, the 14 provinces (districts and cities) along the BRI were studied using cross-sectional data of 2016 to build an index system, including 6 first-level and 13 second-level indicators, to evaluate the competitiveness of tourism service trade. Factor Analysis was adopted to extract the three main factors: the status quo and scale of the tourism service trade, talent pool for the tourism industry, and the development potential of the trade. Then, the 14 provincial-level administrative divisions were comprehensively evaluated for their competitiveness in the tourism service trade. Of these administrative units, the top five are Guangdong, Fujian, Zhejiang, Shanghai, and Yunnan. Cluster Analysis was used to divide these 14 administrative units into 5 categories in terms of their competitiveness: high, upper-middle, middle, lower-middle, and low. Finally, countermeasures and suggestions were proposed based on the characteristics of these five different categories to help develop these administrative divisions further.

Key words: Trade in Tourism Services, ", The Belt and Road", Competitiveness Evaluation

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