[1]张家硕,周忠发*,陈 全,等.典型喀斯特山区农户生计多样性与多维相对贫困的耦合关系[J].山地学报,2022,(3):450-461.[doi:10.16089/j.cnki.1008-2786.000684]
 ZHANG Jiashuo,ZHOU Zhongfa*,CHEN Quan,et al.Relationship between Livelihood Diversity and Multidimensional Relative Poverty of Farming Households in Typical Chinese Karst Mountains[J].Mountain Research,2022,(3):450-461.[doi:10.16089/j.cnki.1008-2786.000684]
点击复制

典型喀斯特山区农户生计多样性与多维相对贫困的耦合关系
分享到:

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2022年第3期
页码:
450-461
栏目:
山区发展
出版日期:
2022-05-25

文章信息/Info

Title:
Relationship between Livelihood Diversity and Multidimensional Relative Poverty of Farming Households in Typical Chinese Karst Mountains
文章编号:
1008-2786-(2022)3-450-12
作者:
张家硕12周忠发12*陈 全12朱昌丽13马国璇13
1.贵州师范大学 a.喀斯特研究院; b.地理与环境科学学院,贵阳 550001; 2.贵州省喀斯特山地生态环境国家重点实验室培育基地,贵阳 550001; 3.国家喀斯特石漠化防治工程技术研究中心,贵阳 550001
Author(s):
ZHANG Jiashuo12 ZHOU Zhongfa12*CHEN Quan13ZHU Changli13MA Guoxuan13
1. School of Geography and Environmental Science/School of Karst Science, Guizhou Normal University, Guiyang 550001, China; 2. The State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang 550001, China; 3. State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China
关键词:
生计多样性 多维相对贫困 耦合 喀斯特
Keywords:
livelihood diversity multidimensional relative poverty coupling Karst
分类号:
F301.24
DOI:
10.16089/j.cnki.1008-2786.000684
文献标志码:
A
摘要:
西南喀斯特山区贫富差异显著、区域发展不平衡,农户多维相对贫困问题突出。探讨农户生计多样性与多维相对贫困的耦合关系可以为解决区域不均衡化发展提供理论支撑。当前研究多以调查数据的定量定性分析为主,较少将农户调查数据与空间信息数据相结合,结果的精度与适用性不足。本研究以西南喀斯特山区为研究对象,采用实地调查与地理分析的研究方法,将代表农户特征的面板数据与空间位置数据相结合导入空间影像,分析农户的生计多样性和多维相对贫困的空间特征,运用耦合协调模型探讨生计多样性与多维相对贫困的耦合关系。结果显示:(1)喀斯特山区受访农户生计组合主要为种植收入+工资性收入、工资性收入+政府转移性收入,生计多样性指数在空间上呈中间高东北低的态势;(2)农户在物质、经济、生产方面贫困程度较深,空间特征为中间高东西低;(3)生计多样性与多维相对贫困的耦合关系在空间上呈高值集中,低值分散的特征,为中高度耦合协调,耦合差异类型以生计多样性滞后型为主。研究可为改善喀斯特山区农户生计与多维相对贫困状况提供科学依据,同时也可为其他同类生态环境脆弱地区贫困问题的应对提供理论参考。
Abstract:
There are severe income inequality, uneven regional development, and multidimensional relative poverty among farming households in the Karst mountains areas of southwestern China. A proper understanding of the coupling relationship between farm household livelihood diversity and multidimensional relative poverty contributes to a solid theoretical support for addressing the area's uneven regional development. Past research relative to uneven regional development in Chinese Karst areas were inclined to perform quantitative and qualitative analysis of survey data, but less to combined farm household survey data with spatial information for comprehensive interpretation, inevitably leading to insufficiency in the accuracy and applicability of the results. In this study, the spatial characteristics of the livelihood diversity and multidimensional relative poverty of farm households were analyzed for southwestern Karst areas of China, and by combining farm household information and geospatial data, it explored the coupling relationship between livelihood diversity and multidimensional relative poverty using a coupled coordination model.Results show that:(1)The livelihood diversity index of the interviewed farm households in the Huajiang demonstration area varied across regions. Specifically, the livelihood diversity index of farm households in the northeastern part of the demonstration area was lower, whereas that compared with that of farm households in the central part. In most farm households, the main sources of income were cultivation income plus wage income and wage income plus government transfer income.(2)The incidence of multidimensional relative poverty in the demonstration area was 26.90%, and there was a large gap between rich and poor farm households. There was high poverty levels in terms of material, economic and production conditions, with poverty levels being high in the middle and low in the east and west regions. Multidimensional relatively poor households were mostly engaged in single agricultural production work, with a small and poor quality labor force and poor social networks.(3)The coupling relationship between livelihood diversity and multidimensional relative poverty of the interviewed farm households was primarily that of imminent dislocation type and coordinated development type. The degree of coupling was moderate and high coupling coordination. The spatial coordination of the coupling between livelihood diversity and multidimensional relative poverty in the Karst mountainous region was characterized by high values of clustering and low values of dispersion. The dominant type of coupled variance of farm households was the lagging type of livelihood diversity. These results provide a scientific basis for improving the livelihoods and multidimensional relative poverty of farmers in karst mountainous areas, and can also provide a scientific reference upon coping with poverty.

参考文献/References:

[1] TOWNSEND P. The meaning of poverty [J]. The British Journal of Sociology, 2010, 61(3):85-102. DOI: 10.1111/j.1468-4446.2009.01241.x
[2] SEN A. Poor, relatively speaking [J]. Oxford Economic Papers, 1983, 35(2):153-169. DOI: 10.1093/oxfordjournals.oep.a041587
[3] 王小林,冯贺霞. 2020年后中国多维相对贫困标准:国际经验与政策取向[J]. 中国农村经济,2020(3):2-21. [WANG Xiaolin, FENG Hexia. China's multidimensional relative poverty standards in the post-2020 era: International experience and policy orientation [J]. China Rural Economy, 2020(3):2-21]
[4] OWEN A B. Empirical likelihood ratio confidence intervals for a single functional [J]. Biometrika, 1988, 75(2): 237-249. DOI: 10.2307/2336172
[5] THOMPSON B S. Empirical likelihood-based inference for poverty measures with relative poverty lines [J]. Econometric Reviews, 2013, 32(4): 513-523. DOI: 10.1080/07474938.2012.690671
[6] 王永明, 王美霞. 武陵山片区县域相对贫困的时空演化与驱动因素[J].山地学报, 2021,39(4):576-586. [WANG Yongming, WANG Meixia. The temporal-spatial evolution and driving factors of relative poverty in the Wuling Mountainous Area, China [J]. Mountain Research, 2021, 39(4):576-586] DOI: 10.16089/j.cnki.1008-2786.000621
[7] 胡西武,刘小鹏,黄越,等. 宁夏生态移民村空间剥夺测度及影响因素[J]. 地理学报,2020,75(10):2224-2240. [HU Xiwu, LIU Xiaopeng, HUANG Yue, et al. Measurement of spatial deprivation of eco-migrant villages and its impact factors in Ningxia [J]. Acta Geographica Sinica, 2020, 75(10): 2224-2240] DOI: 10.11821/dlxb202010013
[8] 王小鹏, 何启明, 曹娟玲, 等. 深度贫困区多维贫困测度及影响因素研究——以甘肃省岷县东部山区为例[J].山地学报, 2019,37(5):768-777. [WANG Xiaopeng, HE Qiming, CAO Juanling, et al. Multidimensional poverty measurement and influencing factors analysis in deep poverty area: A case study on mountain area of Min county in Gansu province, China [J]. Mountain Research, 2019, 37(5):768-777] DOI: 10.16089/j.cnki.1008-2786.000467
[9] 陈起伟,熊康宁,但文红,等. 典型喀斯特区生态与贫困耦合特征分析——以贵州省9000个省级贫困村为例[J]. 生态学报,2021,41(8):2968-2982. [CHEN Qiwei, XIONG Kangning, DAN Wenhong, et al. Coupling characteristics of ecological and poverty in typical karst area: Case study of 9000 provincial level poor villages in Guizhou province [J]. Acta Ecologica Sinica, 2021, 41(8): 2968-2982] DOI: 10.5846/stxb202004050804
[10] 周扬,郭远智,刘彦随. 中国县域贫困综合测度及2020年后减贫瞄准[J]. 地理学报,2018,73(8):1478-1493. [ZHOU Yang, GUO Yuanzhi, LIU Yansui. Comprehensive measurement of county poverty and anti-poverty targeting after 2020 in China [J]. Acta Geographica Sinica, 2018, 73(8): 1478-1493] DOI: 10.11821/dlxb201808007
[11] 马国璇,周忠发,朱昌丽,等. 石漠化地区农户生计资本与生计策略的关系——以贵州省关岭贞丰花江石漠化综合示范区为例[J]. 水土保持通报,2020,40(2):299-307. [MA Guoxuan, ZHOU Zhongfa, ZHU Changli, et al. Relationship between livelihood capital and livelihood strategy of farmers in rocky desertification areas: A case of Guanling-Zhenfeng Huajiang rocky desertification comprehensive demonstration zone in Guizhou province [J]. Bulletin of Soil and Water Conservation, 2020, 40(2): 299-307] DOI: 10.13961/j.cnki.stbctb.2020.02.043
[12] 刘永茂,李树茁. 农户生计多样性发展阶段研究——基于脆弱性与适应性维度[J]. 中国人口·资源与环境,2017,27(7):147-156. [LIU Yongmao, LI Shuzhuo. Study on the developmental stages of household livelihood diversification: Based on the dimensions of vulnerability and adaptability [J]. China Population, Resources and Environment, 2017, 27(7): 147-156] DOI: 10.12062/cpre.20170429
[13] ELLIS F. Household strategies and rural livelihood diversification [J]. The Journal of Development Studies, 1998, 35(1):1-38. DOI: 10.1080/00220389808422553
[14] SINGH S, JONES A D, DEFRIES R S, et al. The association between crop and income diversity and farmer intra-household dietary diversity in India [J]. Food Security, 2020,12(1):369-390. DOI: 10.1007/s12571-020-01012-3
[15] PERZ S G, ROSERO M, LEITE F L, et al. Regional integration and household resilience: Infrastructure connectivity and livelihood diversity in the southwestern Amazon [J]. Human Ecology, 2013,41(4): 497-511. DOI: 10.1007/s10745-013-9584-x
[16] ZHANG Chenjia, FANG Yiping, CHEN Xiujuan, et al. Bibliometric analysis of trends in global sustainable livelihood research [J]. Sustainability, 2019, 11(4): 1150. DOI: 10.3390/su11041150
[17] 林谦,黄浩,黎实. 考虑截面相关条件下的异质性面板数据协整回归模型的估计[J].统计研究,2010,27(9):105-110.[LIN Qian, HUANG Hao, LI Shi. On the estimation of heterogeneous panel cointegration model with cross-sectional dependence [J]. Statistical Research, 2010, 27(9): 105-110] DOI: 10.19343/j.cnki.11-1302/c.2010.09.016
[18] STEPHEN G L P. The importance of household asset diversity for livelihood diversity and welfare among small farm colonists in the Amazon [J], The Journal of Development Studies, 2005, 41(7): 1193-1220. DOI: 10.1080/00220380500170899
[19] MARRS R H, GRACE J B, GOUGH L. On the relationship between plant species diversity and biomass: A comment on a paper by Gough, Grace and Taylor [J]. Oikos, 1996, 75(2): 323-326. DOI: 10.2307/3546258
[20] 杨怀德,李勇进,冯起,等. 石羊河流域不同区域农户生计多样性分析[J]. 干旱区地理,2016,39(1):199-206. [YANG Huaide, LI Yongjin, FENG Qi, et al. A comparative analysis of rural household livelihoods diversity among different regions of Shiyang River Basin, NW China [J]. Arid Land Geography, 2016, 39(1): 199-206] DOI: 10.13826/j.cnki.cn65-1103/x.2016.01.023
[21] 万金红,王静爱,刘珍,等. 从收入多样性的视角看农户的旱灾恢复力——以内蒙古兴和县为例[J].自然灾害学报,2008,17(1):122-126. [WAN Jinhong, WANG Jingai, LIU Zhen, et al. Drought resilience in view of income diversity of peasant household:A case study on Xinghe county, Inner Mongolia [J], Journal of Natural Disasters, 2008,17(1):122-126] DOI: 10.3969/j.issn.1004-4574.2008.01.021
[22] 丁建军,宁燕. 湖南武陵山片区农民收入多样性特征及其对贫困的影响[J]. 地理科学,2016,36(7):1027-1035. [DING Jianjun, NING Yan. The characteristics and influence on poverty of farmers' income diversity in Wuling Mountain area of Hunan province [J]. Scientia Geographica Sinica, 2016, 36(7): 1027-1035] DOI: 10.13249/j.cnki.sgs.2016.07.008
[23] 金贵,邓祥征,董寅,等. 发展地理学视角下中国多维贫困测度及时空交互特征[J]. 地理学报, 2020,75(8):1633-1646. [JIN Gui, DENG Xiangzheng, DONG Yin, et al. China's multidimensional poverty measurement and its spatiotemporal interaction characteristics in the perspective of development geography [J]. Acta Geographica Sinica, 2020, 75(8): 1633-1646] DOI: 10.11821/dlxb202008006
[24] 刘倩,陈佳,吴孔森,等. 秦巴山集中连片特困区农户多维贫困测度与影响机理分析——以商洛市为例[J]. 地理科学进展,2020,39(6):996-1012. [LIU Qian, CHEN Jia, WU Kongsen, et al. Multidimensional poverty measurement and its impact mechanism on households in the Qinling-Daba Mountains poverty area: A case of Shangluo city [J]. Progress in Geography, 2020, 39(6): 996-1012] DOI: 10.18306/dlkxjz.2020.06.010
[25] 张金萍,林丹,周向丽,等. 海南省农村多维贫困及影响因素的空间分异[J]. 地理科学进展,2020,39(6):1013-1023. [ZHANG Jinping, LIN Dan, ZHOU Xiangli, et al. Spatial difference of multidimensional poverty and its influencing factors in the rural areas of Hainan province [J]. Progress in Geography, 2020, 39(6): 1013-1023] DOI: 10.18306/dlkxjz.2020.06.011
[26] LAWRY S, SAMII C, HALL R, et al. The impact of land property rights interventions on investment and agricultural productivity in developing countries: A systematic review [J]. Campbell Systematic Reviews, 2014, 10(1): 1-104. DOI: 10.4073/csr.2014.1
[27] 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] DOI: 10.11821/dlxb201506012
[28] 李聪,高梦,李树茁,等. 农户生计恢复力对多维贫困的影响——来自陕西易地扶贫搬迁地区的证据[J]. 中国人口·资源与环境, 2021,31(7):150-160. [LI Cong, GAO Meng, LI Shuzhuo, et al. Impact of rural households' livelihood resilience on multidimensional poverty: Evidence from the poverty alleviation relocation areas in Shaanxi province [J]. China Population, Resources and Environment, 2021,31(7):150-160] DOI: 10.12062/cpre.20210108
[29] 刘新梅,韩林芝,郑江华,等. 贫困县多维综合贫困度时空分异特征及其驱动机制——以南疆四地州深度贫困地区贫困县为例[J]. 经济地理,2019,39(7):165-174. [LIU Xinmei, HAN Linzhi, ZHENG Jianghua, et al. Temporal-spatial characteristics and the driving mechanism of multidimensional comprehensive poverty degree in poverty-stricken counties: A case study of poor counties in deep poverty-stricken areas of southern Xinjiang [J]. Economic Geography, 2019, 39(7):165-174] DOI: 10.15957/j.cnki.jjdl.2019.07.019
[30] 徐藜丹,邓祥征,姜群鸥,等. 中国县域多维贫困与相对贫困识别及扶贫路径研究[J]. 地理学报, 2021,76(6):1455-1470. [XU Lidan, DENG Xiangzheng, JIANG Qun'ou, et al. Identification and poverty alleviation pathways of multidimensional poverty and relative poverty at county level in China [J]. Acta Geographica Sinica, 2021, 76(6): 1455-1470] DOI: 10.11821/dlxb202106010
[31] 冯雨雪,李广东. 青藏高原城镇化与生态环境交互影响关系分析[J]. 地理学报,2020,75(7):1386-1405. [FENG Yuxue, LI Guangdong. Interaction between urbanization and eco-environment in Tibetan Plateau [J]. Acta Geographica Sinica, 2020, 75(7): 1386-1405] DOI: 10.11821/dlxb202007005
[32] 谢余初,林思妍,屠爽爽,等. 喀斯特石漠化区多维贫困空间测度与格局分析[J]. 农业工程学报,2020,36(22):276-285. [XIE Yuchu, LIN Siyan, TU Shuangshuang, et al. Identification and spatial pattern of multidimensional poverty measurement in karst rocky desertification regions [J]. Transactions of the Chinese Society of Agricultural Engineering, 2020,36(22):276-285] DOI: 10.11975/j.issn.1002-6819.2020.22.031

备注/Memo

备注/Memo:
收稿日期(Received date):2021-11-02; 改回日期(Accepted date):2022-04-01
基金项目(Foundation item): 国家自然科学基金(41661088); 贵州省哲学社会科学规划课题(21GZZD39); 贵州省高层次创新型人才培养计划——“百”层次人才(黔科合平台人才〔2016〕5674)[National Natural Science Foundation of China Regional Project(41661088); Guizhou Province Philosophy and Social Science Planning Project(21GZZD39); Guizhou Province High-Level Innovative Talents Training Program—“Hundred” Level Talents(Qian Kehe Platform Talents [2016] 5674)]
作者简介(Biography): 张家硕(1999-),女,河北邢台人,硕士研究生,主要研究方向:乡村贫困。[ZHANG Jiashuo(1999-), born in Xintai, Hebei province, female, M.Sc. candidate, research on rural poverty] E-mail:zjs793358928@163.com
*通讯作者(Corresponding author): 周忠发(1969- ),男,博士,教授,主要研究方向:喀斯特生态环境、GIS与遥感。[ZHOU Zhongfa(1969-), male, Ph.D., professor, research on Karst ecological environment, GIS and remote sensing]E-mail:fa6897@163.com
更新日期/Last Update: 2022-06-30