• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Chinese Control and Decision Conference >Multidimensional Poverty Measurement on China’s Minority Areas
【24h】

Multidimensional Poverty Measurement on China’s Minority Areas

机译：中国少数民族地区的多维贫困衡量

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In recent years, significant achievements have been made to alleviate poverty in China. However, many challenges still remain, especially in ethnic minority areas, where distressing circumstances remain and many contradictions persist which restrict development. In order to improve the efficiency of the measurement of anti-poverty measures and eradicate poverty, this paper was based on the multidimensional poverty measurement (Alkire and Foster). Combined with the characteristics of Guanghe county, suitable dimensions and indexes were chose to build a multidimensional model. The results show that the generally undeveloped situation of Chinese ethnic areas is caused mainly by low levels of education, poor housing condition, fewer capital assets, and narrow social relations. Therefore, to alleviate poverty, our strategy must enhance farmers per capita, net income, increase capital accumulation, improve the living environment and other measures to accelerate the process of poverty alleviation and development of the poverty-stricken ethnic minority areas and to build a well-off society in an all-round way in 2020.
机译：近年来，在减轻中国贫困方面取得了重大成就。但是，仍然存在许多挑战，特别是在少数民族地区，那里的处境依然令人痛苦，许多矛盾继续存在，制约了发展。为了提高反贫困措施的测量效率并消除贫困，本文基于多维贫困测量（Alkire和Foster）。结合广河县的特点，选择合适的维度和指标建立多维模型。结果表明，中国民族地区普遍不发达的主要原因是教育水平低，住房条件差，资本资产少和社会关系狭窄。因此，为减轻贫困，我们的战略必须提高农民的人均收入，纯收入，增加资本积累，改善生活环境等措施，以加快贫困地区的脱贫和发展进程，并建设好农村。 2020年全面建设小康社会。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号