北京航空航天大学学报(社会科学版) ›› 2019, Vol. 32 ›› Issue (1): 91-97.DOI: 10.13766/j.bhsk.1008-2204.2016.0306

• 经济与管理 • 上一篇    下一篇

基于DEA的中国旅游业生态效率评价

赵林林   

  1. 南京审计大学 管理科学与工程学院, 江苏 南京 211815
  • 收稿日期:2016-08-22 出版日期:2019-01-25 发布日期:2019-02-19
  • 作者简介:赵林林(1987-),女,安徽蒙城人,讲师,博士研究生,研究方向为数据包络分析、能源与环境效率评估.
  • 基金资助:

    国家自然科学基金青年项目(71701102);江苏省高等学校人文社会科学研究项目(2018SJA0326)

Assessing Eco-efficiency of China Tourism Industry with DEA Approach

ZHAO Linlin   

  1. School of Management Science and Engineering, Nanjing Audit University, Nanjing Jiangsu 211815, China
  • Received:2016-08-22 Online:2019-01-25 Published:2019-02-19

摘要:

在可持续发展的背景下,采用传统的DEA方法分析了中国旅游业的生态效率;提出了一种改进的DEA方法,将生态效率分解为经济效率和环境效率。为分析交通状况对旅游业生态效率的影响,提出了一种基于不可控因素的旅游业生态效率评价模型,并运用所提方法分析了1991-2010年中国旅游业的生态效率、经济效率和环境效率的特征。研究表明:改进的DEA方法比传统的DEA方法更具有效率识别力。1991-2010年中国旅游业的生态效率和环境效率的变化趋势相似,中国旅游业的生态效率主要受环境效率的影响。1991-2010年中国旅游业的生态效率呈波浪式上升趋势,中国旅游业在曲折中不断发展。1991-2010年中国旅游业充分利用了铁路和公路资源。

关键词: 旅游业, 数据包络分析, 生态效率, 经济效率, 环境效率

Abstract:

In the context of sustainable development, the eco-efficiency of China tourism industry is analyzed by using the traditional DEA model; an enhanced DEA model is proposed, and eco-efficiency is decomposed into economic efficiency and environmental efficiency. To depict the influence of the traffic condition on eco-efficiency, the evaluation model based on non-discretionary factors is proposed. In addition, the proposed methods are applied to analyze the characteristics of eco-efficiency, economic efficiency and environmental efficiency of China tourism industry in 1991-2010. The empirical study has shown:The enhanced model has higher efficiency in discriminating power than the traditional DEA model. The eco-efficiency and environmental efficiency have a similar variation trend in 1991-2010. The eco-efficiency of China tourism industry is mainly affected by the environmental efficiency. In 1991-2010, the eco-efficiency of China tourism industry has a wave-like increasing tendency and is developing in a zigzag manner. In 1991-2010, China tourism industry has taken full advantage of rail and road resources.

Key words: tourism industry, data envelopment analysis, eco-efficiency, economic efficiency, environmental efficiency

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