[1]李 靖,廖和平*,樊 昊.重庆市贫困农户生计资本的空间格局及影响因素分析[J].山地学报,2018,(06):942-952.[doi:10.16089/j.cnki.1008-2786.000389]
 LI Jing,LIAO Heping*,FAN Hao.Spatial Pattern and Influencing Factors of Livelihood Capital of Rural Poor Households in Chongqing, China[J].Mountain Research,2018,(06):942-952.[doi:10.16089/j.cnki.1008-2786.000389]
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重庆市贫困农户生计资本的空间格局及影响因素分析()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2018年06期
页码:
942-952
栏目:
山区发展
出版日期:
2018-11-30

文章信息/Info

Title:
Spatial Pattern and Influencing Factors of Livelihood Capital of Rural Poor Households in Chongqing, China
文章编号:
1008-2786-(2018)6-942-11
作者:
李 靖1廖和平12*樊 昊3
1. 西南大学 地理科学学院,重庆 400715; 2. 西南大学 精准扶贫与区域发展评估研究中心,重庆 400715; 3. 重庆第二师范学院 旅游与服务管理学院,重庆 400065
Author(s):
LI Jing1 LIAO Heping12* FAN Hao3
1. School of Geographical Sciences, Southwest University, Chongqing 400715, China; 2. Center for Assessment and Research on Targeted Poverty Alleviation and Regional Development, Southwest University, Chongqing 400715, China; 3. School of Tourism and Service Management, Chongqing University of Education, Chongqing 400065, China
关键词:
贫困农户 生计资本 空间格局 影响因素 重庆
Keywords:
rural poor households livelihood capital spatial pattern influencing factors Chongqing
分类号:
F126.2
DOI:
10.16089/j.cnki.1008-2786.000389
文献标志码:
A
摘要:
探索贫困农户生计资本的空间格局及其影响因素,对当前区域性多维贫困测度和致贫机理研究具有重要意义。以重庆市16个扶贫重点县的贫困农户调查样本为基础数据,采用聚类分析、探索性空间分析(ESDA)等方法刻画贫困农户生计资本的空间格局特征,借助最小二乘法(OLS)和空间回归模型(SLM和SEM)探索贫困农户生计资本空间格局的影响因素。研究发现:研究区贫困农户生计资本存在显著空间差异,贫困深度与贫困广度并无明显的正向关联性; 多种资本匮乏型在渝东北更为集中,地区内贫困农户脱贫难度相对更大; 生计资本在空间分布上呈现出正相关性,低值区在渝东北的集聚程度相对更高,区域内贫困现象与广义地理要素的共生性更强; 相对于OLS和SLM,SEM被证实是最适用于该研究的计量模型,地形起伏度、少数民族比重、人均耕地面积、城镇化水平、第一产业比重、县镇交通时间等是影响区域贫困农户生计资本的重要因素。
Abstract:
Evaluation on spatial pattern and influencing factors of livelihood capital of rural poor household can provide a new research perspective for regional multidimensional poverty measurement and formation mechanism analysis, which obviously is of great significance for regional poverty alleviation. Combining the sample investigation data, this paper took the 16 key districts and counties of poverty alleviation of Chongqing, China, as the study area. In addition, cluster analysis, exploratory spatial analysis, and contrastive regression analysis with Orthogonal Least Squares(OLS), Spatial Lag Model(SLM)and Spatial Error Model(SEM)were implemented. The results showed:(1)Livelihood capital of poor households in the study area had remarkable spatial differentiation characteristics, which made it known that there was no obvious positive correlation between poverty depth and poverty breadth.(2)Type of multiple capital shortage concentrically was distributed in Northeast Chongqing, where it was difficult for poor farmers to get rid of poverty.(3)There were significant spatial autocorrelation of poor households' livelihood capital in the study area, the agglomeration degree of low-value areas in Northeast Chongqing was relatively higher, where the symbiosis between poverty and broad geographical factors were stronger.(4)Comparing with SLM and OLS, SEM was proved to be the most suitable econometric model, which found that the livelihood capital of regional poor household were mainly affected by relief amplitude(RA), minority proportion(MP), per capita cultivated land area(PCL), urbanization level(UL), proportion of primary industry output(PPI)and traffic time between town and county(TT).

参考文献/References:

[1] 罗庆,樊新生,高更和,等. 秦巴山区贫困村的空间分布特征及其影响因素[J]. 经济地理,2016,36(4):126-132 [LUO Qing, FAN Xinsheng, GAO Genghe, et al. Spatial distribution of poverty village and influencing factors in Qinba Mountains[J]. Economic Geography, 2016, 36(4): 126-132 ]
[2] 周侃,王传胜. 中国贫困地区时空格局与差别化脱贫政策研究[J]. 中国科学院院刊,2016(1):101-111 [ZHOU Kan, WANG Chuansheng. Spatial-temporal pattern of poverty-stricken areas and its differential policies for poverty alleviation in China[J]. Bulletin of Chinese Academy of Sciences, 2016(1): 101-111]
[3] 王永明,王美霞,吴殿廷,等. 贵州省乡村贫困空间格局与形成机制分析[J]. 地理科学,2017,37(2):217-227 [WANG Yongming, WANG Meixia, WU dianting, et al. Spatial patterns and determinants of rural poverty: A case of Guizhou Province, China[J]. Scientia Geographica Sinica, 2017, 37(2): 217-227]
[4] 赵雪雁. 地理学视角的可持续生计研究:现状、问题与领域[J]. 地理研究,2017,36(10):1859-1872 [ZHAO Xueyan. Sustainable livelihoods research from the perspective of geography: The present status, questions and priority areas[J]. Geographical Research, 2017, 36(10): 1859-1872]
[5] 刘艳华,徐勇. 中国农村多维贫困地理识别及类型划分[J]. 地理学报,2015,70(6):993-1007 [LIU Yanhua, XU Yong. Geographical identification and classification of multi-dimensional poverty in rural China[J]. Acta Geographica Sinica, 2015, 70(6): 993-1007]
[6] 黎洁,李亚莉,邰秀军,等. 可持续生计分析框架下西部贫困退耕山区农户生计状况分析[J]. 中国农村观察,2009(5):29-38 [LI Jie, LI Yali, TAI Xiujun, et al. On the rural households livelihood in the western poor areas after the slopping land conversion program within the sustainable livelihood analysis framework from the rural households survey in the Zhouzhi County, Shanxi Province[J]. China Rural Survey, 2009(5): 29-38]
[7] 毛谦谦. 陕南生态移民生计资本计量及政策贫困瞄准效率的实证研究[D]. 西安:西北农林科技大学,2015:26-30 [MAO Qianqian. Estimation on rural livelihood capital and poverty alleviation efficiency of ecological migration policy in southern Shaanxi[D]. Xi'an: Northwest A&F University, 2015: 26-30]
[8] 赵立娟. 参与和未参与灌溉管理改革农户生计资本的对比分析基于内蒙古灌区农户的调研[J]. 中国农业大学学报,2014,19(1):200-208 [ZHAO Lijuan. Comparative analysis on livelihood condition of households in irrigation management reform: Based on investigation districts of inner Mongolia[J]. Journal of China Agricultural University, 2014, 19(1): 200-208]
[9] 张丽,赵雪雁,侯成成,等. 生态补偿对农户生计资本的影响--以甘南黄河水源补给区为例[J]. 冰川冻土,2012,34(1):186-195 [ZHANG Li, ZHAO Xueyan, HOU Chengcheng, et al. Effect of ecological compensation on farmer-household livelihood capital-A case study in the Yellow River Water Supply Area in Gannan[J]. Journal of Glaciology and Geocryology, 2012, 34(1): 186-195]
[10] 郝文渊,杨东升,张杰,等. 农牧民可持续生计资本与生计策略关系研究--以西藏林芝地区为例[J]. 干旱区资源与环境,2014,28(10):37-41 [HAO Wenyuan, YANG Dongsheng, ZHANG Jie, et al. Relationship between livelihood capital and livelihood strategy of rural households: A case of Nyingchi in Tibet[J]. Journal of Arid Land Resources and Environment, 2014, 28(10): 37-41]
[11] 崔诗雨,徐定德,彭立,等. 三峡库区就地后靠移民与原住民生计资本特征及差异分析--以重庆市万州区为例[J]. 西南师范大学学报(自然科学版),2016,41(8):80-86 [CUI Shiyu, XU Dingde, PENG Li, et al. Analysis on characteristics and differences of livelihood capitals between immigrants and aborigines in Three Gorges Reservoir Area-A case study of Wanzhou. Chongqing[J]. Journal of Southwest China Normal University(Natural Science Edition), 2016, 41(8): 80-86]
[12] 汤青,徐勇,李扬. 黄土高原农户可持续生计评估及未来生计策略--基于陕西延安市和宁夏固原市1076户农户调查[J]. 地理科学进展,2013,32(2):161-169 [TANG Qing, XU Yong, LI Yang. Assessment of farmers' sustainable livelihoods and future strategies on the Loess Plateau: Based on a survey of 1076 farmers in Yan'an City in Shaanxi Province and Guyuan City in Ningxia Hui Autonomous Region[J]. Progress in Geography, 2013, 32(2): 161-169]
[13] 丁文强,李平,尹燕亭,等. 可持续生计视角下中国北方草原区牧户脆弱性评价研究[J]. 草业学报,2017,26(8):1-11 [DING Wenqiang, LI Ping, YIN Yanting, et al. Vulnerability of herder households under the framework of sustainable livelihoods in the grassland of Northern China[J]. Acta Prataculturae Sinica, 2017, 26(8): 1-11]
[14] 刘进,甘淑,吕杰,等. 基于GIS和ANN的农户生计脆弱性的空间模拟分析[J]. 山地学报,2012,30(5):622-627 [LIU Jin, GAN Shu, LYU Jie, et al. Spatial simulation using GIS and artificial neural network for household livelihood vulnerability[J]. Mountain Research, 2012, 30(5): 622-627]
[15] 宁泽逵. 农户可持续生计资本与精准扶贫[J]. 华南农业大学学报(社会科学版),2017,16(1):86-94 [NING Zekui. Rural household's sustainable livelihood capitals and Targeting Poverty[J]. Journal of South China Agricultural University(Social Science Edition), 2017, 16(1): 86-94]
[16] 刘恩来,徐定德,谢芳婷,等. 基于农户生计策略选择影响因素的生计资本度量--以四川省402户农户为例[J]. 西南师范大学学报(自然科学版),2015,40(12):59-65 [LIU Enlai, XU Dingde, XIE Fangting, et al. On measure of farmer livelihoods capital based on factors affecting livelihood strategies-A case study of Sichuan Province[J]. Journal of Southwest China Normal University(Natural Science Edition), 2015, 40(12): 59-65]
[17] 王凯,李志苗,易静. 生态移民户与非移民户的生计对比--以遗产旅游地武陵源为例[J]. 资源科学,2016,38(8):1621-1633 [WANG Kai, LI Zhimiao, YI Jing. Contrasting the livelihoods of immigrants and non-immigrants in the Wulingyuan world heritage area[J]. Resources Science, 2016, 38(8): 1621-1633]
[18] 周易,付少平. 失地农民的生计资本与生计策略关系研究--以陕西省杨凌区为例[J]. 广东农业科学,2012,39(5):192-194 [ZHOU Yi, FU Shaoping. Analysis on the relationship between livelihood capital and livelihood strategies-Taking Yangling in Shaanxi Province as an example[J]. Guangdong Agricultural Sciences, 2012, 39(5): 192-194]
[19] 武艳娟. 气候变化对宁夏农户生计的影响[D]. 北京:中国农业科学院,2008:36-52 [WU Yanjuan. Impacts of climate change on rural livelihood in Ningxia[D]. Beijing: Chinese Academy of Agricultural Sciences, 2008: 36-52]
[20] 何仁伟,刘邵权,刘运伟,等. 典型山区农户生计资本评价及其空间格局--以四川省凉山彝族自治州为例[J]. 山地学报,2014,32(6):641-651 [HE Renwei, LIU Shaoquan, LIU Yunwei, et al. Evaluation and spatial distribution of farmer's livelihood capital in representative mountain areas: A case study of Liangshan Yi Autonomous Prefecture of Sichuan, China[J]. Mountain Research, 2014, 32(6): 641-651]
[21] 任国平,刘黎明,付永虎,等. 基于GWR模型的都市城郊村域农户生计资本空间差异分析--以上海市青浦区为例[J]. 资源科学,2016,38(8):1594-1608 [REN Guoping, LIU Liming, FU Yonghu, et al. Spatial differentiation of rural household livelihood capital in metropolitan suburbs based on GWR model: A case study of Qingpu District in Shanghai[J]. Resources Science, 2016, 38(8): 1594-1608]
[22] 马永红,周荣喜,李振光. 基于离差最大化的决策者权重的确定方法[J]. 北京化工大学学报(自然科学版),2007,34(2):177-180 [MA Yonghong, ZHOU Rongxi, LI Zhenguang. The method of determining the weights of decision-makers based on the maximizing deviation[J]. Journal of Beijing University of Chemical Technology(Natural Science Edition), 2007, 34(2): 177-180]
[23] 魏令峰. K-means聚类算法的改进与应用[D]. 沈阳:东北大学,2014:9-14 [WEI Lingfeng. K-means algorithm improvement and application[D]. Shenyang: Northeastern University, 2014: 9-14]
[24] LUC A. Exploring spatial data with Geoda: A workbook[M]. Santa Barbara: Center for Spatially Integrated Social Science, 2005: 1-5
[25] 杜挺,朱道林,张立新,等. 河南省耕地流转价格空间分异及形成机制分析[J]. 农业工程学报,2016,32(20):250-258 [DU Ting, ZHU Daolin, ZHANG Lixin, et al. Spatial distribution and formation mechanism of cultivated land transfer price in Henan Province[J]. Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE), 2016, 32(20): 250-258]
[26] 宋煜,崔娜娜,沈体雁. “学区房”的教育溢价测度研究--以北京市为例[J]. 价格理论与实践,2018(02):37-40[SONG Yu, CUI Nana, SHEN Tiyan. Research on the educational premium of school district housing-A case study of Beijing[J]. Prince: Theory & Practice, 2018(02): 37-40]
[27] 封志明,唐焰,杨艳昭,等. 中国地形起伏度及其与人口分布的相关性[J]. 地理学报,2007,62(10):1073-1082 [FENG Zhiming, TANG Yan, YANG Yanzhao, et al. The relief degree of land surface in China and its correlation with population distribution[J]. Acta Geographica Sinica, 2007, 62(10): 1073-1082]

备注/Memo

备注/Memo:
收稿日期(Received date):2018-04-21; 改回日期(Accepted data):2018-11-19
基金项目(Foundation item):重庆市技术预见与制度创新项目(CSTC2017jsyj-jsyjBX0015)。[Program of Technical Foresight and System Innovation of Chongqing(CSTC2017jsyj-jsyjBX0015)]
作者简介(Biography):李靖(1990-),男,四川绵阳人,博士生,主要研究方向:国土资源与区域发展。[LI Jing(1990-), male, born in Mianyang, Sichuan Province, Ph.D. candidate, research on land resources and regional development] E-mail:freelj@qq.com
*通讯作者(Corresponding author):廖和平(1964-),女,博士,教授,研究方向:国土资源开发利用与管理、精准扶贫与区域发展评估。[LIAO Heping(1964-), female, Ph.D. professor, specialized in land resources use and management, Targeted Poverty Alleviation and Regional Development] E-mail:liaohp@swu.edu.cn
更新日期/Last Update: 2018-11-30