商业研究

商业研究

• 旅游文化 • 上一篇    下一篇

中国旅游业对外直接投资特征及其关联因素分析

包富华1,3，朱美宁2,3   

  1. 1.咸阳师范学院 经济与管理学院，陕西 咸阳 712000；2.陕西国际商学院， 陕西 咸阳 712000;3.陕西师范大学 旅游与环境学院，西安 710062
  • 收稿日期:2016-11-12 出版日期:2017-07-20
  • 作者简介:包富华（1984－），女，四川内江人，咸阳师范学院经济与管理学院讲师，陕西师范大学旅游与环境学院博士研究生，研究方向：外商投资与旅游；朱美宁（1983-），女，西安人，陕西国际商贸学院商学院助教，陕西师范大学旅游与环境学院硕士研究生，研究方向：旅游经济地理。
  • 基金资助:
    国家旅游局“万名旅游英才”研究型英才培养项目，项目编号：WMYC20151058；陕西省普通高等学校优势学科建设项目，项目编号：0602。

An Analysis of the Characteristics and Related Factors of China′s Foreign Direct Investment in Tourism Industry

BAO Fu-hua1,3,ZHU Mei-ning2,3   

  1. 1. College of Economics and Management，Xianyang Normal University，Xianyang 712000,China; 2.Shaaxi Institute of International Trade and Commerce， Xianyang 712000,China； 3.College of Tourism and Environment，Shaanxi Normal University， Xi′an 710062,China
  • Received:2016-11-12 Online:2017-07-20

摘要： 当前中国旅游业OFDI不断增长，认识和把握其时空特征及关联因素，对于国家进行相应的宏观管理和中国旅游企业制订具体投资战略具有参考价值。本文利用2004-2015年中国旅游业OFDI的流量、存量数据分析中国旅游业OFDI的特征及关联因素。时间序列分析表明中国旅游业OFDI流量和存量整体呈增长趋势，且二者的增长均呈现“乘幂”型特征；空间分布分析表明中国主要的对外投资国家（地区）大致跟随出境旅游国家（地区），“资金流”和“人流”之间存在较好的伴随状态；灰色关联度分析表明人均GDP、出境旅游人数和入境旅游人数分别是影响中国旅游业OFDI的前三大因素，其中，人均GDP是其基础，出境旅游人数是其载体，入境旅游是其重要保障。

关键词: 对外直接投资, 灰色关联度, 出境旅游, 旅游业

Abstract: At present, the OFDI of China′s tourism industry is increasing constantly. It is of reference value for China to carry out corresponding macro management and formulate specific investment strategies for China′s tourism industry to understand its temporal and spatial characteristics and related factors. According to the flow and stock data of OFDI in China′s tourism industry from 2004 to 2015，this paper analyzes its development characteristics and the related factors. The analysis of time series shows that the OFDI flow and the stock of China′s tourism industry show growth trend，and the two growth shows the “power” characteristic; the analysis of spatial distribution shows that foreign investment for major countries (regions) generally follow outbound tourism countries (regions),there being a good state of being between “money flow” and “stream of people”,which is related to the profit driven of the OFDI as well as the high consumption of outbound tourism; gray correlation analysis shows that the per capita GDP, the number of outbound tourism and the number of inbound tourists are the top three factors that affect the OFDI of China′s tourism industry: the per capita GDP is its solid backing and foundation, the number of outbound tourism is its carrier, and inbound tourism is an important guarantee.

Key words: OFDI, GRA, outbound tourism, tourism industry