吉首大学学报(自然科学版)

• 特色专栏.武陵山片区研究 • 上一篇    下一篇

张家界市旅游扶贫绩效评价

陈艳红,唐业喜,龙明璐,张汝娇,程灿,周雅金,卓琦   

  1. (吉首大学土木工程与建筑学院,湖南 张家界 427000)
  • 出版日期:2018-05-25 发布日期:2018-06-27
  • 通讯作者: 卓琦(1962—),男,湖南慈利人,吉首大学土木工程与建筑学院副教授,博士,主要从事动物种质资源增殖与保护利用研究.
  • 基金资助:

    国家自然科学地区基金资助项目(31260634);吉首大学2017大学生研究性和创新性实验计划项目

Performance Assessment of Poverty Alleviation Through Tourism in Zhangjiajie

CHEN Yanhong,TANG Yexi,LONG Minglu,ZHANG Rujiao,CHENG Can,ZHOU Yajin,ZHUO Qi   

  1. (College of Civil Engineering and Architecture,Jishou University,Zhangjiajie 427000,Hunan China)
  • Online:2018-05-25 Published:2018-06-27

摘要:

选取经济绩效、社会绩效和生态绩效3个指标层,共22个指标,构建了张家界市旅游扶贫绩效评价指标体系.运用层次分析法确定评价指标权重,结合定量模型对2016年张家界市2区2县的旅游扶贫绩效作综合评价并排序,再利用ArcGIS10.2软件得到各区县旅游扶贫绩效的分级区划图.结果表明,张家界市旅游扶贫绩效显著,绩效评分均在60分以上,但是区域之间绩效差异明显.人均旅游总收入、贫困发生率和单位GDP能耗等的差异是导致区域绩效差异的主要因素,建议从经济绩效、社会绩效和生态绩效这3个方面进行改善以缩小差异.

关键词: 旅游扶贫, 绩效评价, 评价指标, 张家界市

Abstract:

A system of performance assessment of poverty alleviation through tourism in Zhangjiajie is established which comprises of three levels of criteria,including economic performance,social performance,and ecosystem performance,and 22 indicators.AHP is used to determine the weights of assessment indexes,the quantitative model methods is applied to assess and sort the performance of tourism poverty alleviation in the two  districts and counties of Zhangjiajie,and ArcGIS 10.2 is employed to produce gain the performance grading zoning map.The results show that the performance of tourism poverty alleviation in Zhangjiajie is significant,and the performance score of tourism poverty alleviation is above 60 points,but the performance difference between regions is obvious.The differences in the tourism  income per capita,the incidence of poverty and energy consumption per unit of GDP are the main factors that cause the regional performance differences.This paper puts forward some suggestions to improve economic performance,social performance and ecological performance.

Key words: poverly alleviation through tourism, performance assessment, assessment indicator, Zhangjiajie

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