• 研究论文 •

### 五台山景区酒店碳排放效率的典范对应分析

1. 1. 山西财经大学旅游管理学院,太原 030031
2. 山西财经大学资源型经济研究中心,太原 030006
• 收稿日期:2017-08-09 修回日期:2017-11-20 出版日期:2018-03-15 发布日期:2018-04-25
• 作者简介:

作者简介：程占红（1972- ）,男,山西新绛人,博士,教授,主要从事低碳旅游研究。E-mail:chengzhanhong@163.com

• 基金资助:
教育部人文社会科学研究规划基金项目（14YJA630005）;山西省高等学校哲学社会科学研究项目（2017332）;国家自然科学基金项目（41571141）;山西省高等学校教学改革研究项目（J2014055）;山西省软科学研究项目（2016041012-1）;山西省研究生教育改革研究项目（2017JG65）

### Canonical correspondence analysis of hotels' carbon emission efficiency in Wutai Mountain scenic area

Zhanhong CHENG1,2, Jiao XU1

1. 1. School of Tourism Management, Shanxi University of Finance & Economics, Taiyuan 030031, China;
2. Center of Resource-Based Economy Research, Shanxi University of Finance & Economics, Taiyuan 030006, China;
• Received:2017-08-09 Revised:2017-11-20 Online:2018-03-15 Published:2018-04-25
• About author:

Author: Shi Zhenqin (1988-), PhD, specialized in regional development and land space management in mountain areas. E-mail: kevinszq@163.com

*Corresponding author: Deng Wei (1957-), Professor, specialized in mountain environment and regional development.

E-mail: dengwei@imde.ac.cn

Abstract:

It can provide a reference for the implementation of energy-saving and emission-reducing to measure hotels' carbon emission efficiency. Firstly, the buildings area, rooms and staff number of 28 hotels were taken as the input indicators, and water consumption, power consumption and coal consumption were taken as the output indicators in Wutai Mountain scenic area. Hotels' carbon emission efficiency was calculated by Data Envelopment Analysis. Secondly, the relationship between carbon emission efficiency and key indices was studied by Canonical Correspondence Analysis (CCA) and Two-Way Indicator Species Analysis (TWINSPAN). The results showed that: (1) 9 hotels' technical efficiency was fully effective, 15 hotels' pure technical efficiency was effective, and 9 hotels' scale efficiency was effective. (2) TWINSPAN divided all hotels into four groups. Group I had 9 hotels, accounting for 32% of the total number of hotels in this study, whose three efficiency values of carbon emissions were all 1, so they belonged to the full efficiency group. Group II consisted of three hotels, accounting for 11%. They had higher carbon emission efficiency, but there was still some room for improvement. Group III accounted for 32% of the hotels (9 hotels). They had the lowest pure technical efficiency and should focus on the usage and transformation of low-carbon technology. Group IV had seven hotels, accounting for 25% of the hotels. They should take full advantage of utilization efficiency of the existing resources because of their lowest scale efficiency. (3) By CCA, we could see the relationship between different indicators and the ordination axis, and all of the indicators including hotels' construction area, the number of rooms, the number of employees, coal consumption and water consumption were showing an increasing trend from left to right on the first axis, and the number of practitioners and the number of rooms were showing an increasing trend from bottom to top on the second axis. At the same time, from the fourth quadrant to the first and the second quadrants in the CCA figure, the types of hotels' carbon emission efficiency were transited gradually from group I to group II, group IV and group III. In the process of change, hotels' carbon emission efficiency was decreasing with obvious "arch effect". (4) The restriction of key indices to hotels' carbon emission efficiency was showed by CCA, and the limiting factors were distinguished, which pointed out the path to enhance hotels' carbon emission efficiency.