热带地理2013，Vol.33Issue(1)：88-95,8.
海南省旅游开发生态风险评价与预警机制
Ecological Risk Assessment and Early Warning Mechanism for Tourism Development in Hainan Province
摘要
Abstract
Hainan has advantages in abundant tourism resources, unique and innovative tourism products and increasing tourism economic strength, as well as good policy conditions for the development of tourism industry. At the same time, however, there are certain natural and man-made risk elements that may hinder the healthy development of tourism industry in the province. According to the current situation of tourism development, this paper describes the main stressor sources, the risk receptors, and the largest ecological effect over Hainan by using the Procedure for Ecological Tiered Assessment of Risk method (PETAR), and discriminates 14 ecological risk effects of tourism development in Hainan, which are classified into three levels including primary, secondary and tertiary levels. Taking 9 effects as representative ecological risk effects, the paper constructs a tourism ecological risk assessment model consisting of 16 indicators, and defines different risk levels for Sanya, Haikou, Wanning and Qionghai with fuzzy mathematics and synthetic evaluation methods. The results show that Sanya and Haikou are located in the first-level ecological risk area, while Wanning and Qionghai in the second-level ecological risk area. There are different ecological risk degrees of tourism development among those cities, and it is an urgent need for them to carrying out early warning management of tourism ecological risk. The authors consider that a tourism ecological risk warning mechanism, including operating mechanism, regulatory mechanism and management mechanism, should be innovatively established.关键词
海南省/旅游开发/生态风险评价/预警机制Key words
Hainan Province/tourism development/ecological risk assessment/warning mechanism分类
管理科学引用本文复制引用
张广淘,王佳..海南省旅游开发生态风险评价与预警机制[J].热带地理,2013,33(1):88-95,8.基金项目
教育部人文社会科学重点研究基地重大培育项目(2012JDPY02) （2012JDPY02）
中国海洋发展研究中心海大专项(AOCOUC201103) （AOCOUC201103）
国家软科学基金项目(2009GXQ6D172) （2009GXQ6D172）
