长三角城市旅游产业竞争力综合比较研究——基于AHP法与BP人工神经网络模型

发布时间：2018-01-21 01:11

  本文关键词： 竞争力 长三角 人工神经网络 比较　出处：《中国人口·资源与环境》2017年S1期 　论文类型：期刊论文

【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。
[Abstract]:In the context of regional economic integration in the Yangtze River Delta, the tourism industry as an important part of the urban economy, the level of competitiveness of the city directly affects the growth potential of the city. This paper divides the competitive factors of tourism industry into six aspects: tourism market, resource abundance, infrastructure, auxiliary industry, industrial innovation and the overall level of urban economy. The evaluation index system of tourism competitiveness is established, which includes 3 levels, 6 categories and 28 indexes. According to the data of 16 cities in the Yangtze River Delta, the evaluation index system of tourism competitiveness is established. AHP and BP artificial neural network model are used to evaluate the competitiveness of urban tourism industry, and the comprehensive evaluation results are obtained. Based on the results, the competitiveness of urban tourism industry in Yangtze River Delta is divided into three levels. Based on the analysis of the spatial distribution and the advantages and disadvantages of the competitiveness of each city, the paper points out that the Yangtze River Delta city should improve its competitive disadvantage and establish a cooperative mechanism to realize the development of competition and cooperation.
【作者单位】： 中国科学院地理科学与资源研究所陆地表层格局与模拟重点实验室;中国科学院大学;
【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)
【分类号】：F592.7
【正文快照】： 城市旅游的发展已发展到竞争性增长阶段[1]。长三角作为中国最大经济圈,是中国经济发展最具活力的地区,城市旅游地之间的竞争也尤为激烈[2]。为了向休闲旅游阶段迈进,实现旅游跨越式发展,长三角将提升城市旅游竞争力放在极其重要的地位[3]。关于旅游竞争力的研究始于20世纪90，

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