摘要
在长三角区域经济一体化背景下,旅游产业作为城市经济的重要组成部分,其竞争力水平高低直接影响城市的成长潜力。基于此,本文将旅游产业竞争要素分为旅游市场、资源丰度、基础设施、辅助产业、产业创新、城市经济总体水平六个方面,建立了包含了3个层次6个大类28个指标城市旅游竞争力评价指标体系。根据长三角16个城市面板数据,运用层次分析法和BP人工神经网络模型分别进行城市旅游产业竞争力评价,得到综合评价结果。基于该结果将长三角城市旅游产业竞争力分为三个层次,分析各个城市要素竞争力的空间分布和竞争力优劣势,提出长三角城市应改善竞争劣势和建立合作机制并举,实现竞合发展。
Tourism industry is an important part of the urban economy,The level of its competitiveness directly affects the growth potential of the city,especially under the background of regional economic integration in Yangtze River Delta. In this context,this paper puts forward six factors of tourism industry competition: tourism market,resource abundance,infrastructure,auxiliary industry,industrial innovation and urban economy,and establishes a urban tourism competitiveness evaluation index system of 28 indicators. According to the panel data of 16 cities in the Yangtze River Delta,the AHP and BP neural network model were used to evaluate the competitiveness of the urban tourism industry respectively. The competitiveness of the city tourism industry is divided into three levels in the Yangtze River Delta based on the comprehensive evaluation. This paper analyzes the spatial distribution of the urban tourism industry competitiveness and the advantages and disadvantages of each city,and points out that cities in the Yangtze River Delta should improve the competitive disadvantage and establish the cooperation mechanism,to achieve competition-cooperation development.
出处
《中国人口·资源与环境》
CSSCI
CSCD
北大核心
2017年第S1期237-240,共4页
China Population,Resources and Environment
基金
中国科协"高端科技创新智库青年项目""基于多尺度的黄土高原食物安全动态评价及改策影响研究"(批准号:DXB-ZKQN-2016-033)
关键词
竞争力
长三角
人工神经网络
比较
competitiveness
Yangtze River Delta
BP neural network model
comparison
