欢迎访问林业科学,今天是

林业科学 ›› 2011, Vol. 47 ›› Issue (12): 22-27.doi: 10.11707/j.1001-7488.20111204

• 论文 • 上一篇    下一篇

中国森林公园旅游发展效率的比较与分析

黄秀娟   

  1. 福建农林大学旅游学院 福州 350002
  • 收稿日期:2010-10-11 修回日期:2011-03-10 出版日期:2011-12-25 发布日期:2011-12-25

Comparison and Analysis on the Tourism Efficiency of Forest Parks in China

Huang Xiujuan   

  1. Tourism College, Fujian Agriculture and Forestry University Fuzhou 350002
  • Received:2010-10-11 Revised:2011-03-10 Online:2011-12-25 Published:2011-12-25

摘要:

借助数据包络分析方法(DEA),利用2003—2008 年的数据,对我国森林公园发展效率进行研究,为我国森林公园旅游资源的优化配置和运行效率的提高提供参考依据。测算技术效率、纯技术效率、规模效率以及Malmquist全要素生产率(TFP),比较中国31个省区间和东、中、西三大区域间的效率及TFP增长率。结果显示: 省区间比较,上海、浙江等地区的效率最高,贵州、山西等地区的TFP增长率最高; 三大区域间比较,东部地区的效率最高,中部地区的TFP增长率最大,西部地区的效率和TFP增长率都最低。最后,从要素投入、旅游吸引力、地方经济发展水平等几个方面对影响效率大小及其差异的原因进行理论上的探讨,提出继续加大对中西部地区资金扶持、对森林公园进行技术指导和人员培训等提高效率的对策。

关键词: 中国森林公园, 旅游发展效率, 数据包络分析方法(DEA)

Abstract:

In order to optimize the tourism resource deployment and improve the efficiency of Forest Parks in China, the present efficiency of the forest parks were studied with data collected from 2003 to 2008 by using the DEA method. Technology efficiency, pure technology efficiency, scale efficiency and Malmquist TFP were measured. The efficiency and TFP were compared among 31 provinces and among east, center and west region. The results showed that Shanghai and Zhejiang had the highest efficiency, Guizhou and Shanxi had the highest TFP increase rate among 31 provinces; As for the three areas, the east region had the best efficiency, while center region had the highest TFP increase rate. In the end, the reasons influencing efficiency were discussed from those respects, such as resource inputs, tourism attraction, and economic development level. Some suggestions of improving efficiency were also put forward including increasing financial support to central and west region, giving technology guidance and staff training.

Key words: Chinese forest parks, tourism development efficiency, DEA method

中图分类号: