基于重庆市武陵山区和秦巴山区贫困农户与非贫困农户的调研数据，运用双重差分模型检验精准扶贫政策对贫困农户收入增长的影响。结果表明，贫困农户在精准扶贫政策的支持下，家庭人均纯收入增长显著，与非贫困农户相比差距进一步缩小；家庭主要收入来源，由单一渠道向多渠道转变，人均种植业收入和人均养殖业收入增长最明显，二者贡献率合计达到61.87%；农户的年龄、家庭人口数量、老人小孩数量、耕地面积、耕作半径、是否发展特色产业等因素对贫困农户家庭人均纯收入影响显著。因此，发展特色产业，解决贫困农户的教育、医疗、住房和土地撂荒问题是保障贫困农户脱贫后稳定增收的关键。
Abstract
With the thorough implementation of National Accurate Poverty Alleviation Policy across the country, how to measure the change of peasant household income in poor areas and find out the key factors that affect the growth of income, so as to provide better suggestions for "one family one policy". This paper is based on the survey data of poor and non-poor rural poor households in Wuling mountainous area and Qinba mountainous area of Chongqing, and the double difference model is used to test the effect of Accurate Poverty Alleviation Policy on the income growth of the rural poor households. The results show that under the support of Accurate Poverty Alleviation Policy, the per capita net income of rural poor households increased significantly. What's more, their income gap is further narrowing compared with non rural poor households. Their major household income source changed from a single channel to multi-channel, and the average per capita income of the crop farming and livestock breeding grows most rapidly which account for 61.87%. The factors such as the age, family population, the number of the elderly and children, agricultural acreage, radius of farming, whether to develop characteristic industries etc, have significant influence on the per capita net income of rural poor households. The key to guarantee the rural poor households to get rid of poverty and increase income continually is to develop characteristic industries and solve the problem for rural poor households in the aspect of education, medical care, housing and land abandonment. Key words: accurate poverty alleviation
关键词
精准扶贫 /
贫困农户 /
脱贫增收 /
DID模型
Key words
accurate poverty alleviation /
rural poor households /
get rid of poverty and increase income /
DID model
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参考文献
[1] 黄承伟.中国扶贫开发道路研究:评述与展望[J].中国农业大学学报(社会科学版),2016,33(5):5-17.[Huang Chengwei. Research on China's path of development-oriented poverty reduction:Review and prospect[J]. China Agricultural University Journal of Social Sciences Edition, 2016,33(5):5-17.]
[2] 杨德进,白长虹,牛会聪.民族地区负责任旅游扶贫开发模式与实现路径[J].人文地理,2016,31(4):119-126.[Yang Dejin, Bai Changohong, Niu Huicong. Development models and realization paths of responsiblepro-poor tourism in ethnic minority areas[J]. Human Geography, 2016,31(4):119-126.]
[3] Siddhartha M, Brahmankar S D. Rural poverty and rural infrastructure:The case of India[J]. Empirical Economies Letters, 2004,3(3):56-68.
[4] Ullah A, Routray A K M, Jayant K. Rural poverty alleviation through NGO interventions in Bangladesh:How far is the achievement?[J]. International Journal of Social Eeonomics, 2007,34(3):1-4.
[5] 罗庆,李小建.国外农村贫困地理研究进展[J].经济地理,2014,34(6):1-8.[Luo Qing, Li Xiaojian. The research progress of foreign rural poverty geography[J]. Economic Geography, 2014,34(6):1-8.]
[6] 张遵东,章立峰.贵州民族地区乡村旅游扶贫对农民收入的影响研究——以雷山县西江苗寨为例[J].贵州民族研究,2011,32(6):66-71.[Zhang Zundong, Zhang Lifeng. Effects of farmer's income by rural tourism poverty alleviation in Guizhou National Areas-Taking Xijiang Miao village in Leishan town as an exampl[J]. Guizhou Ethnic Studies, 2011,32(6):66-71.]
[7] 龙祖坤,杜倩文,周婷.武陵山区旅游扶贫效率的时间演进与空间分异[J].经济地理,2015,35(10):210-217.[Long Zukun, Du Qianwen, Zhou Ting. The evolution of time and space differentiation of Wuling mountain area tourism poverty alleviation efficiency[J]. Economic Geography, 2015,35(10):210-217.]
[8] 贾林瑞,刘彦随,刘继来,等.中国集中连片特困地区贫困户致贫原因诊断及其帮扶需求分析[J].人文地理,2018,33(1):85-93.[Jia Linrui, Liy Yansui, Liu Jilai, LI Jintao, et al. Study on the poverty causes and aid demands of poor rural households in the concentrated poverty-stricken areas in china[J]. Human Geography, 2018,33(1):85-93.]
[9] 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[J]. 地理学报,2017,72(1):161-173.[Liu Yansui1, Li Jintao. Geographic detection and optimizing decision of the differentiation mechanism of rural poverty in China[J]. Acta Geographica Sinica, 2017,72(1):161-173.]
[10] 刘北桦,詹玲.农业产业扶贫应解决好的几个问题[J].中国农业资源与区划,2016,37(3):1-4.[Liu Beihua, Zhan Ling. Problems and countermeasures of poverty alleviation through agricultural industrialization[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2016,37(3):1-4.]
[11] 谭银清,王志章,陈益芳.武陵山区多维贫困的测量、分解及政策蕴含[J].吉首大学学报(社会科学版),2015,36(1):44-49.[Tang Yinqing, Wang Zhizhang, Chen Yifang. Measurement, decomposition, and policy implications of multidimensional poverty in Wuling mountainous areas[J]. Journal of Jishou University(Social Science Edition), 2015,36(1):44-49.]
[12] 王介勇,陈玉福,严茂超.我国精准扶贫政策及其创新路径研究[J]. 中国科学院院刊,2016,31(3):289-295.[Wang Jieyong, Chen Yufu, Yan Maochao. Research on the targeted measures of poverty alleviation and its innovative ways in China[J]. Bulletin of Chinese Academy of Sciences, 2016,31(3):289-295.]
[13] 杨园园,刘彦随,张紫雯.基于典型调查的精准扶贫政策创新及建议[J].中国科学院院刊,2016,31(3):337-345.[Yang Yuanyuan, Liu Yansui, Zhang Ziwen. Study on policy innovation and suggestions of targeted poverty alleviation based on typical investigation[J]. Bulletin of Chinese Academy of Sciences, 2016,31(3):337-345.]
[14] 郑瑞强,王英.精准扶贫政策初探[J].财政研究,2016(2):17-24.[Zheng Ruiqiang, Wang Ying. Primary exploration of targeted poverty alleviation policy[J]. Public Finance Research, 2016(2):17-24.]
[15] 张琦,陈伟伟.连片特困地区扶贫开发成效多维动态评价分析研究——基于灰色关联分析法角度[J].西南民族大学学报(社会科学版),2015(2):104-109.[Zhang Qi, Chen Weiwei. Multidimensional dynamic evaluation of the poverty-alleviation achievementsin China`s fourteen destitute areas based on GRA[J]. Journal of Yunnan Minzu University (Social Sciences), 2015(2):104-109.]
[16] 毛婧瑶,葛咏,赵中秋,等.武陵山贫困片区扶贫成效评价与空间格局分析[J].地球信息科学学报,2016,18(3):334-342.[Mao Jingyao, Ge Yong, Zhao Zhongqiu. Poverty alleviation evaluation and spatial pattern analysis of Wuling mountain[J]. Journal of Geo-information Science, 2016,18(3):334-342.]
[17] 向延平.基于WTP法的旅游扶贫社会绩效评价研究——以德夯苗寨为例[J].郑州航空工业管理学院学报,2011,29(1):71-73.[Xiang Yanping. A study on the evaluation of the social performance evaluation of PPT based on WTP[J]. Journal of Zhengzhou Institute of Aeronautical Industry Management, 2011,29(1):71-73.]
[18] 刘一明,胡卓玮,赵文吉,等.基于BP神经网络的区域贫困空间特征研究——以武陵山连片特困区为例[J].地球信息科学,2015,17(1):69-77.[Liu Yiming, Hu Zhuowei, Zhao Wenji, et al. Research on spatial characteristics of regional poverty based on BP neural network:A case study of Wuling mountain area[J]. Journal of Geoinformation Science, 2015,17(1):69-77.]
基金
重庆市社会科学规划博士项目（2018BS78）；重庆工商大学高层次人才科研启动项目（1856032）；国家社科基金项目（17BJY154）
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