地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (3): 334-342.doi: 10.3724/SP.J.1047.2016.00334

• 扶贫空间信息系统关键技术研究专栏 • 上一篇    下一篇

武陵山贫困片区扶贫成效评价与空间格局分析

毛婧瑶1(), 葛咏2,3,*(), 赵中秋1, 王小林4, 张永利4, 陈跃红2, 宋泳泽1   

  1. 1. 中国地质大学(北京)土地科学技术学院,北京 100083
    2. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101
    3. 江苏省地理信息资源开发与利用协同创新中心, 南京 210023
    4. 国务院扶贫办信息中心,北京 100028
    5. 华中师范大学城市与环境科学学院,武汉 430079
  • 收稿日期:2015-07-15 修回日期:2015-12-13 出版日期:2016-03-10 发布日期:2016-03-10
  • 通讯作者: 葛咏 E-mail:maojingyao1990@163.com;gey@lreis.ac.cn
  • 作者简介:

    作者简介:毛婧瑶(1990-),女,硕士生,研究方向为土地整治与生态修复.E-mail:maojingyao1990@163.com

  • 基金资助:
    国家科技支撑计划项目课题"贫困地区资源环境监测评估与生态价值评价技术"(2012BAH33B01)

Poverty Alleviation Evaluation and Spatial Pattern Analysis of Wuling Mountain

MAO Jingyao1(), GE Yong2,3,*(), ZHAO Zhongqiu1, WANG Xiaolin4, ZHANG Yongli3, CHEN Yuehong2, SOANG Yongze1   

  1. 1. School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
    2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    4. Poverty Alleviation Office of the State Council Information Center, Beijing 100028, China
    5. College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China
  • Received:2015-07-15 Revised:2015-12-13 Online:2016-03-10 Published:2016-03-10
  • Contact: GE Yong E-mail:maojingyao1990@163.com;gey@lreis.ac.cn

摘要:

本文以武陵山贫困片区为研究区,构建扶贫成效评价指标体系,采用层次分析法(AHP)法确定指标权重,并通过综合评价法计算2010-2012年各区县3期扶贫成效综合指数;在扶贫成效评价结果的基础上,采用空间自相关方法进行空间格局分析,探究武陵山区近年来扶贫成效空间格局特征及成因.结果表明:(1) 武陵山片区扶贫成效空间分布基本呈现省内聚集的态势,总体表现为"北部高,中部低"的分布特征;(2) 扶贫成效的空间格局具有明显的地区差异,渝东南地区3期扶贫成效好,且具有稳定的中等增速;铜仁地区虽然经济社会发展基础薄弱且3期扶贫成效不高,但增速最大;鄂西南地区3期扶贫成效及增速均较好;湘西地区3期扶贫成效较差且增速缓慢,因此日后应更关注该地区的扶贫工作开展.

关键词: 扶贫成效评价, 武陵山贫困片区, 空间格局, AHP

Abstract:

Selecting the contiguous destitute regions in Wuling Mountain as the study area, this paper build an evaluation index system based on the AHP in order to calculate the poverty alleviation index for each county in the Wuling Mountains area from 2010 to 2012. Using the auto-correlation theory, this research conducts some analyses about the spatial pattern and the influence factors. Conclusions can be found as follows: (1) the spatial pattern of poverty alleviation exhibits a pattern of aggregation within the same province, and the poverty alleviation effect of the north region is higher than the central region; (2) in different provinces, the southeast of Chongqing has the best poverty alleviation effect and a moderate growth. All indices of the four aspects, which are the economic, social, production and living conditions, and the poverty alleviation program are the best. The poverty alleviation level in the northeast of Guizhou is poor, but the growth rates of the four aspects are higher than the average level of the best region. In the southwest of Hubei, the poverty alleviation and growth rate are also good, which ranks the second best in the Wuling Mountain area. In the northwest of Hunan, the poverty alleviation level is low, and its index level is the lowest until 2012. In addition, its growth rate is the slowest; therefore, this region should be focused in the future for further development.

Key words: poverty alleviation evaluation, Wuling Mountain, spatial pattern, AHP