衡量经济发展的不可衡量的多维贫困:来自菲律宾卢森最贫穷地区的数据集,算法和模型
Emmanuel A Onsay1,2, Jomar F Rabajante1
1Graduate School, University of the Philippines Los Baños, Laguna 4030, Philippines.
Data in brief
|February 21, 2024
概括
这项研究分析了菲律宾戈阿州的多维贫困,使用独特的社区数据集. 结果为当地经济发展和减贫提供了有针对性的干预措施.
科学领域:
- 社会经济学 社会经济学
- 公共卫生 公共卫生
- 发展研究 发展研究 研究
背景情况:
- 贫困是一个复杂的,多维的问题,通常不充分地通过通用研究来衡量.
- 具体的以地方为基础的贫困测量对于有效的经济发展至关重要,特别是在服务不足的地区.
- 有限的研究存在于戈阿的贫困,南卡马里内斯,菲律宾的一个高度贫困的地区.
研究的目的:
- 呈现一套经过处理和分析的数据集,用于测量特定农村地区的多维贫困.
- 通过本地化数据,为了解和解决多面性贫困提供基础.
- 促进有针对性的政策制定和方案制定,以减轻贫困和促进经济增长.
主要方法:
- 利用了来自Camarines Sur的Goa的综合社区监测系统数据集.
- 包括跨卫生,营养,住房,卫生,教育,就业和防灾准备的多维贫困指标.
- 采用贫困分析,包括发病率,差距,严重程度,瓦茨指数和分类配置.
主要成果:
- 该数据集提供了对特定于所研究的地区的贫困尺寸的详细视图.
- 分析的数据包括贫困的诊断,描述,预测和处方分析.
- 为进一步对贫困进行分类和回归分析提供了基础.
结论:
- 分析的数据集对于使用本地化指标了解农村的多维贫困至关重要.
- 这个资源可以指导政府,组织和研究人员制定有针对性的减贫战略.
- 促进创建有效的计划,以促进当地经济发展和解决多方面的贫困.
关键词:
先进的计量经济学是先进的计量经济学灾难性事件的发生.数据分析数据分析.应对灾害风险的准备工作菲律宾 菲律宾 菲律宾 菲律宾 菲律宾 菲律宾政策 政策 政策 政策回归是一种回归.农村贫困 农村贫困 农村贫困更多相关视频
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