南疆三地州贫困人口的精准识别及影响机制
文献类型：学位论文
| 作者 | 呼梦霞 |
| 答辩日期 | 2017-05-01 |
| 文献子类 | 硕士 |
| 授予单位 | 中国科学院大学 |
| 授予地点 | 新疆乌鲁木齐 |
| 导师 | 张小雷 |
| 关键词 | 精准识别 贫困影响机制 A-F 测度 精准脱贫路径 南疆三地州 accurate identification poverty impact mechanism A-F measure precise poverty alleviation path the three southern districts of Xinjiang |
| 学位专业 | 理学硕士 |
| 英文摘要 | The three southern districts of Xinjiang is one of the most severe poverty situation areas in 14 concentrated poverty areas, and analysesing the influence mechanism on the precise identification and causes of poverty of the poor is the core work of the precise poverty alleviation of poverty. In this paper, the minority Kepinaike in Kashgar Districts and Brazil Qiawage in Hotan Districts are chosen as a typical case of three prefectures poor village. It obtains 448 farmers basic family information as data support through surveys and questionnaire survey. And it optimizes the current system and verificates the new with exploring the advantages and disadvantages of the current system about the precise identification of poverty. At the same time, it concludes the main poverty in southern Xinjiang three prefectures poor households and its influencing factors using A-F mechanism of Multidimensional Poverty Measurement and classical statistics method. Finally, combined with the statistical analysis of farmers' willingness to increase income from poverty, it puts forward policy suggestions on the three southern states of poor households out of poverty in rural areas - precise path from the perspective of farmers -agriculture.The main results are as follows: (1) the current system in evaluation framework have the disadvantages which is that relates to content index is not comprehensive and the poor type has not been effective defect recognition.its optimization direction includes that: the refinement in the evaluation index of the original evaluation dimension, the added evaluation dimension in the third industry development status and the status quo of the ecological environment, and the appropriate adjustment in the weight. The optimized identification system has the following virtues: less capital and labor quality of poor households and the poverty types due to illness and school are effectively to get accurate recognition. While the farmers lower exchange ability and the weak modern production management organization are reflected as an important factor affecting poverty in the three southern districts. (2)cross factors leading to the multidimensional poverty has been ordinary phenomenon about the three prefectures poor households,in addition, the highest incidence of income poverty, lack of arable land, labor, capital, technology development costs and burden of disease have been the major poverty factor.(3) The poverty factors about the three prefectures hoseholds can be summarized as natural factors and family factors.local natural elements are the root causes of regional poverty,while lack of housing, the prevalence of disability, lack of labor skills and the level of education is low family factors aggravate the external causes of poverty.what’s more, backward production organization and industrial structure is the direct reason for the poverty.(4) The age of the poor households out of poverty development will focus on different, the export of labor services, the development of aquaculture and engaged in building decoration has become the first choice of the majority of poor households' income approach to development. To provide Chinese agricultural technology, training and policy needs of poor households is a free clinic common reaction. (5) Local farmers in three southern districts of Xinjiang out of poverty path could think deeply in three steps: accurate identification—accurate poverty alleviation—accurately out of poverty. |
| 学科主题 | 人文地理学 |
| 语种 | 中文 |
| 源URL | [http://ir.xjlas.org/handle/365004/14874]  |
| 专题 | 新疆生态与地理研究所_研究系统_荒漠环境研究室 |
| 作者单位 | 中国科学院新疆生态与地理研究所 |
| 推荐引用方式 GB/T 7714 | 呼梦霞. 南疆三地州贫困人口的精准识别及影响机制[D]. 新疆乌鲁木齐. 中国科学院大学. 2017. |
入库方式： OAI收割
来源：新疆生态与地理研究所
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