PDF Download

[1]XIONG Chuanlin,YE Changsheng.The Multi-Dimensional Poverty Measure and Spatial Pattern of the Former Central Soviet Area at County Level in South of Jiangxi Province[J].Research of Soil and Water Conservation,2016,23(03):225-232.

Copy

The Multi-Dimensional Poverty Measure and Spatial Pattern of the Former Central Soviet Area at County Level in South of Jiangxi Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 03 Page number: 225-232 Column: Public date: 2016-06-28

Title:: The Multi-Dimensional Poverty Measure and Spatial Pattern of the Former Central Soviet Area at County Level in South of Jiangxi Province

Author(s):: XIONG Chuanlin, YE Changsheng; College of Earth Sciences, East China University of Technology, Nanchang 330013, China

Keywords:: multi-dimensional poverty; geographical identification; vulnerability and sustainable livelihood analysis framework; spatial correlation; former Central Soviet Area in south of Jiangxi Province

CLC:: F323.8

DOI:: -

Abstract:: On the theoretical basis of the vulnerability and sustainable livelihood analysis framework proposed by DFID which is widely applied worldwide, Multi-dimensional Development Index (MDI) and spatial correlation analysis method have been used to analyze the distribution pattern of county multidimensional poverty systematically of the former Central Soviet Area in South of Jiangxi Province for highly concentrated poverty-stricken phenomenon. The results show that: (1) it is feasible to develop acomposite Multi-dimensional Development Index (MDI) for the integrated method of geographical identification of multi-dimensional poverty; (2) Getis-Ord G_i^* index values remain that spatial autocorrelation exists in MDI of South of Jiangxi Province; (3) the overlap rate of a total of 23 county-level units are identified as multi-dimensional poor counties, which have 14 country’s poor counties, and the coincidencerate of cold spots, subcold spots and the poor counties identified by the multi-dimensional poverty identification is 73.91%; (4) multi-dimensional poor counties are classified into 5 types, lack of infrastructure, lack of both financial capital and infrastructure, lack of both human capital and infrastructure, lack of development condition and lack of living condition. Multi-dimensional poverty identification and spatial correlation analysis have the positive and practical significance to achieve the goal of building a moderately prosperous society in an all-round way.

References:: [1] 李秀彬.全球环境变化研究的核心领域:土地利用/土地覆被变化的国际研究动向[J].地理学报,1996,51(6):553-558.
[2] 刘纪远,匡文慧,张增祥,等.20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J].地理学报,2014,69(1):3-14.
[3] 杜国明,李全峰,刘艳,等.农业开发对区域生态系统服务功能的影响研究:以三江平原北部地区为例[J].水土保持研究,2014,21(3):261-266.
[4] 谷长磊,刘琳,邱扬,等.黄土丘陵区生态退耕对草本层植物多样性的影响[J].水土保持研究,2013,20(5):99-103.
[5] 谢高地,鲁春霞,冷允法,等.青藏高原生态资产的价值评估[J].自然资源学报,2003,18(2):189-196.
[6] 冉圣宏,吕昌河,贾克敬,等.基于生态服务价值的全国土地利用变化环境影响评价[J].环境科学,2006,27(10):2139-2144.
[7] 房学宁,赵文武.生态系统服务研究进展:2013年第11届国际生态学大会(INTECOLCongress)会议述评[J].生态学报,2013,33(20):6736-6740.
[8] Costanza R, d’Arge R, De Groot R, et al. The value of the world’s ecosystem services and natural capital[J]. Ecological Economics, 1998,1(25):3-15.
[9] Daily G. Nature’s Services:Societal Dependence on Natural Ecosystems[M]. Washington D.C.:Island Press,1997.
[10] 谢高地,鲁春霞,成升魁.全球生态系统服务价值评估研究进展[J].资源科学,2001,23(6):5-9.
[11] 李冬玉,任志远,刘宪锋,等.陕西省耕地生态系统服务价值动态测评[J].干旱区资源与环境,2013,27(7):40-45.
[12] 杜振宇,刘方春,马丙尧,等.黄河三角洲盐碱地长期人工林生态服务价值评估[J].中国农学通报,2013,29(34):17-23.
[13] 陈春阳,陶泽兴,王焕炯,等.三江源地区草地生态系统服务价值评估[J].地理科学进展,2012,31(7):978-984.
[14] 李进鹏,王飞,穆兴民,等.延河流域土地利用变化对其生态服务价值的影响[J].水土保持研究,2010,17(3):110-114.
[15] 肖生春,肖洪浪,卢琦,等.中国沙漠(地)生态系统水文调控功能及其服务价值评估[J].中国沙漠,2013,33(5):1568-1576.
[16] 孙东琪,张京祥,朱传耿,等.中国生态环境质量变化态势及其空间分异分析[J].地理学报,2012,67(12):1599-1610.
[17] 田义超,李晶,任志远.近300年来黄土高原耕地变化及时空格局分析[J].干旱区资源与环境,2012,26(2):94-101.
[18] 朱会义,吕昌河.近30年延安市耕地变化的政策背景及其作用机理[J].地理研究,2010,29(8):1510-1518.
[19] York R, Rosa E A, Dietz T. STIRPAT, IPAT and ImPACT:analytic tools for unpacking the driving forces of environmental impacts[J]. Ecological Economics,2003,46(3):351-365.
[20] 杨梅,张广录,侯永平.区域土地利用变化驱动力研究进展与展望[J].地理与地理信息科学,2011,27(1):95-100.
[21] 郭雅雯,赵敏娟.基于STIRPAT模型的陕西省耕地面积变化社会经济驱动力分析[J].水土保持研究,2012,19(6):197-201.
[22] 张建香,张勃,尹海霞,等.2000-2011年黄土高原植被景观格局变化[J].生态学杂志,2013,32(2):452-458.
[23] 王超,甄霖,杜秉贞,等.黄土高原典型区退耕还林还草工程实施效果实证分析[J].中国生态农业学报,2014,22(7):850-858.

Similar References:

Memo

Last Update: 1900-01-01