Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (6): 1455-1470.doi: 10.11821/dlxb202106010
• Rural Development and Settlement Research • Previous Articles Next Articles
XU Lidan1(), DENG Xiangzheng2, JIANG Qun'ou1,2,3(
), MA Fengkui1
Received:
2020-07-27
Revised:
2021-04-30
Online:
2021-06-25
Published:
2021-08-25
Contact:
JIANG Qun'ou
E-mail:xlidan@bjfu.edu.cn;jiangqo.dls@163.com
Supported by:
XU Lidan, DENG Xiangzheng, JIANG Qun'ou, MA Fengkui. 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.
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Tab. 1
Multidimensional poverty evaluation index system at the county level
目标层 | 指标层 | 指标属性 | 权重 |
---|---|---|---|
人力资本 | 人口密度 | + | 0.0633 |
中学生人数占人口比例 | + | 0.0281 | |
乡村从业人员占人口比例 | + | 0.0363 | |
物化资本 | 机械总动力 | + | 0.0486 |
粮食产量 | + | 0.0503 | |
道路面积占地比例 | + | 0.1277 | |
经济资本 | 人均GDP | + | 0.0678 |
农村居民纯收入 | + | 0.0703 | |
地区财政收入 | + | 0.0809 | |
居民存款余额 | + | 0.0504 | |
社会品销售总额 | + | 0.0529 | |
社会资本 | 城镇化率 | + | 0.0476 |
医疗床位数 | + | 0.0506 | |
夜间灯光数据 | + | 0.0919 | |
自然资本 | 年平均降雨量 | + | 0.0230 |
平均高程 | - | 0.0277 | |
NPP | + | 0.0218 | |
环境/脆弱性 | 坡度大于15°面积占比 | - | 0.0075 |
地形破碎度 | - | 0.0533 |
Tab. 5
Selection basis of the path to poverty alleviation of poverty-stricken counties in China
耦合差异类型 | 选择依据 | 扶贫建议 |
---|---|---|
共同发展型 | 县域发展与产业/教育/旅游/农业发展相互促进且二者同步发展,不需要采用相应方式扶贫 | 其他方式扶贫 |
共同滞后型 | 县域发展与产业/教育/旅游/农业发展相互抑制且二者差距较小,可以通过扶持一方发展或同时加速双方发展,减缓二者之间的抑制作用,以达到加速县域发展的目的 | 产业/教育/旅游/农业扶贫与其他扶贫方式相结合 |
产业/教育/旅游/农业发展滞后型 | 县域产业/教育/旅游/农业发展落后限制了县域的发展,有必要采用产业/教育/旅游/农业扶贫方式提高产业/教育/旅游/农业发展,从而减缓对县域发展的限制 | 重视县域产业/教育/旅游/农业扶贫 |
县域发展滞后型 | 县域发展的落后限制了县域产业/教育/旅游/农业的发展,有必要采用其他方式减缓县域贫困 | 其他方式扶贫 |
[1] | Huang Chengwei. The CPC's governance capability in poverty alleviation. China Leadership Science, 2020(3):23-27. |
[ 黄承伟. 脱贫攻坚彰显中国共产党治理能力. 中国领导科学, 2020(3):23-27.] | |
[2] | Wang Shufang, Zhou Wei. Research status and development trend of poverty alleviation in deeply impoverished areas. Rural Economy and Science, 2020,31(7):180-182. |
[ 王淑芳, 周伟. 深度贫困地区脱贫攻坚的研究现状与发展态势. 农村经济与科技, 2020,31(7):180-182.] | |
[3] | Chen Zhigang, Bi Jieying, Wu Guobao, et al. Post-2020 urban integrative poverty reduction strategy: Development status, evolution, new vision and key areas. Chinese Rural Economy, 2019(1):2-16. |
[ 陈志钢, 毕洁颖, 吴国宝, 等. 中国扶贫现状与演进以及2020年后的扶贫愿景和战略重点. 中国农村经济, 2019(1):2-16.] | |
[4] | Yang Guotao, Wang Guangjin. Estimation and simulation of China's rural poverty: 1995-2003. China Population, Resources and Environment, 2005,15(6):30-34. |
[ 杨国涛, 王广金. 中国农村贫困的测度与模拟: 1995—2003. 中国人口·资源与环境, 2005,15(6):30-34.] | |
[5] | Liu Yansui, Zhou Yang, Liu Jilai. Regional differentiation characteristics of rural poverty and targeted poverty alleviation strategy in China. Bulletin of Chinese Academy of Sciences, 2016,31(3):269-278. |
[ 刘彦随, 周扬, 刘继来. 中国农村贫困化地域分异特征及其精准扶贫策略. 中国科学院院刊, 2016,31(3):269-278.] | |
[6] | Zeng Yongming, Zhang Guo. Spatial simulating in regional rural poverty based on GIS and BP neural network: A new appraisement method on regional rural poverty. Geography and Geo-Information Science, 2011,27(2):70-75. |
[ 曾永明, 张果. 基于GIS和BP神经网络的区域农村贫困空间模拟分析: 一种区域贫困程度测度新方法. 地理与地理信息科学, 2011,27(2):70-75.] | |
[7] |
Zhao X Z, Yu B L, Liu Y, et al. Estimation of poverty using random forest regression with multi-source data: A case study in Bangladesh. Remote Sensing, 2019,11(4):375. DOI: 10.3390/rs11040375.
doi: 10.3390/rs11040375 |
[8] | Wu Peng, Li Tongsheng, Li Weimin. Spatial differentiation and influencing factors analysis of rural poverty at county scale: A case study of Shanyang county in Shaanxi Province, China. Geographical Research, 2018,37(3):593-606. |
[ 武鹏, 李同昇, 李卫民. 县域农村贫困化空间分异及其影响因素: 以陕西山阳县为例. 地理研究, 2018,37(3):593-606.] | |
[9] | Luo Qing, Fan Xinsheng, Gao Genghe, et al. Spatial distribution of poverty village and influencing factors in Qinba Mountains. Economic Geography, 2016,36(4):126-132. |
[ 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. 经济地理, 2016,36(4):126-132.] | |
[10] |
Okwi P O, Ndeng'E G, Kristjanson P, et al. Spatial determinants of poverty in rural Kenya. PNAS, 2007,104(43):16769-16774.
doi: 10.1073/pnas.0611107104 |
[11] | Liu Yansui, Li Jintao. Geographic detection and optimizing decision of the differentiation mechanism of rural poverty in China. Acta Geographica Sinica, 2017,72(1):161-173. |
[ 刘彦随, 李进涛. 中国县域农村贫困化分异机制的地理探测与优化决策. 地理学报, 2017,72(1):161-173.] | |
[12] |
Yu B L, Shi K F, Hu Y J, et al. Poverty evaluation using NPP-VIIRS nighttime light composite data at the county level in China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015,8(3):1217-1229.
doi: 10.1109/JSTARS.4609443 |
[13] |
Liu Y H, Xu Y. A geographic identification of multidimensional poverty in rural China under the framework of sustainable livelihoods analysis. Applied Geography, 2016,73:62-76.
doi: 10.1016/j.apgeog.2016.06.004 |
[14] | Zhou Yang, Guo Yuanzhi, Liu Yansui. Comprehensive measurement of county poverty and anti-poverty targeting after 2020 in China. Acta Geographica Sinica, 2018,73(8):1478-1493. |
[ 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. 地理学报, 2018,73(8):1478-1493.] | |
[15] | Liu Yanhua, Xu Yong. Geographical identification and classification of multi-dimensional poverty in rural China. Acta Geographica Sinica, 2015,70(6):993-1007. |
[ 刘艳华, 徐勇. 中国农村多维贫困地理识别及类型划分. 地理学报, 2015,70(6):993-1007.] | |
[16] | Li Haoru, Mao Lili, Mei Xurong, et al. Analysis on influencing factors of grain production fluctuation during the last 30 years in China. Chinese Journal of Agricultural Resources and Regional Planning, 2018,39(10):1-10, 16. |
[ 李昊儒, 毛丽丽, 梅旭荣, 等. 近30年来我国粮食产量波动影响因素分析. 中国农业资源与区划, 2018,39(10):1-10, 16.] | |
[17] | Pan Jinghu, Zhao Hongyu, Dong Leilei. Spatial identification of multi-dimensional poverty in rural China by using nighttime light and sustainable livelihoods. Acta Ecologica Sinica, 2018,38(17):6180-6193. |
[ 潘竟虎, 赵宏宇, 董磊磊. 基于DMSP-OLS数据和可持续生计的中国农村多维贫困空间识别. 生态学报, 2018,38(17):6180-6193.] | |
[18] | Luo Yaowen, Ren Zhoupeng, Ge Yong, et al. Analysis on spatio-temporal patterns and drivers of poverty at village level based on PCA-GWR. Journal of Geo-Information Science, 2020,22(2):231-245. |
[ 罗耀文, 任周鹏, 葛咏, 等. 基于PCA-GWR方法的村级贫困时空格局及致贫因素分析. 地球信息科学学报, 2020,22(2):231-245.] | |
[19] |
Feng Yaya, Pan Jinghu, Yang Liangjie. Analysis on spatial simulation of rural poverty at county level in China. Journal of Geo-information Science, 2018,20(3):321-331.
doi: 10.1126/science.20.506.321 |
[ 冯娅娅, 潘竟虎, 杨亮洁. 中国县域农村贫困的空间模拟分析. 地球信息科学学报, 2018,20(3):321-331.] | |
[20] | Sun Jiuwen, Xia Tian. China's poverty alleviation strategy and the delineation of the relative poverty line after 2020: An analysis based on theory, policy and empirical data. Chinese Rural Economy, 2019(10):98-113. |
[ 孙久文, 夏添. 中国扶贫战略与2020年后相对贫困线划定: 基于理论、政策和数据的分析. 中国农村经济, 2019(10):98-113.] | |
[21] | Wang Xiaolin, Feng Hexia. China's multidimensional relative poverty standards in the post-2020 era: International experience and policy orientation. Chinese Rural Economy, 2020(3):2-21. |
[ 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. 中国农村经济, 2020(3):2-21.] | |
[22] |
Yang Y Y, Bao W K, Liu Y. Coupling coordination analysis of rural production-living-ecological space in the Beijing-Tianjin-Hebei region. Ecological Indicators, 2020,117:106512. DOI: 10.1016/j.ecolind.2020.106512.
doi: 10.1016/j.ecolind.2020.106512 |
[23] |
Li Xiang, Qi Wenping, Tan Chang, et al. Coupling between ecological environment vulnerability and multidimensional poverty: An empirical analysis from 1586 poverty-stricken villages in Hechi City, Guangxi, Southwest China. Chinese Journal of Applied Ecology, 2019,30(12):4303-4312.
doi: 10.13287/j.1001-9332.201912.011 pmid: 31840477 |
[ 李响, 齐文平, 谭畅, 等. 生态环境脆弱性与多维贫困的耦合关系: 基于广西河池市1586个贫困村的实证分析. 应用生态学报, 2019,30(12):4303-4312.]
pmid: 31840477 |
|
[24] | Ji Xiaofeng, Li Wu, Hao Jingjing. Spatial coupling model between accessibility and poverty intensity in poverty contiguous destitute areas. Journal of Transportation Systems Engineering and Information Technology, 2017,17(4):33-39. |
[ 戢晓峰, 李武, 郝京京. 连片特困地区可达性与贫困程度的空间耦合模型. 交通运输系统工程与信息, 2017,17(4):33-39.] | |
[25] |
Rong Xianbiao, Hu Zhenhua, Xiong Xi. Regional differences in the coupling relationship between tourism development and ecological civilization construction. Economic Geography, 2016,36(8):189-194.
doi: 10.2307/141815 |
[ 容贤标, 胡振华, 熊曦. 旅游业发展与生态文明建设耦合度的地区间差异. 经济地理, 2016,36(8):189-194.] | |
[26] | Feng Yuxue, Li Guangdong. Interaction between urbanization and eco-environment in Tibetan Plateau. Acta Geographica Sinica, 2020,75(7):1386-1405. |
[ 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. 地理学报, 2020,75(7):1386-1405.] | |
[27] | Duclos J Y, Tiberti L. Multidimensional poverty indices: A critical assessment. SSRN Elctronic Journal, 2016,16(1):221-255. |
[28] |
Ma T, Zhou C H, Pei T, et al. Responses of Suomi-NPP VIIRS-derived nighttime lights to socioeconomic activity in China's cities. Remote Sensing Letters, 2014,5(2):165-174.
doi: 10.1080/2150704X.2014.890758 |
[29] | Fan Jie, Zhou Kan, Wu Jianxiong. Typical study on sustainable development in relative poverty areas and policy outlook of China. Bulletin of Chinese Academy of Sciences, 2020,35(10):1249-1263. |
[ 樊杰, 周侃, 伍健雄. 中国相对贫困地区可持续发展问题典型研究与政策前瞻. 中国科学院院刊, 2020,35(10):1249-1263.] | |
[30] | Jin Gui, Deng Xiangzheng, Dong Yin, et al. China's multidimensional poverty measurement and its spatiotemporal interaction characteristics in the perspective of development geography. Acta Geographica Sinica, 2020,75(8):1633-1646. |
[ 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. 地理学报, 2020,75(8):1633-1646.] |
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