Scholarlink

Africa is the least successful region of the world in reducing poverty and it is identified as the world's poorest inhabited continent. However, sub-Saharan countries are diverse in terms of socio-economic level of development. There are several global indicators such as Human Development Index (HDI) which cannot properly diversified sub-Saharan (in majority poor) states properly. Therefore, our research aims in the construction of synthetic indicators which may be used to provide ranking of sub-Saharan countries in terms of socio-economic development, and comparison of rankings based on the constructed synthetic measures to HDI. In the research, we distinguished 55 uncorrelated variables describing different life domains: (1) economy, (2) education, (3) environment, (4) health, (5) employment, (6) IT, (7) life condition and infrastructure, (8) public safety and (9) situation of women which are used for the synthetic measure of development construction. All analysed countries were classified into 4 homogenous groups in terms of measures describing selected life domains and standard of living as an aggregated measure.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Living Standards Comparison in Sub-Saharan Countries. The Baseline for Post-pandemic Analyses

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Krzysztof Kompa,
  • Dorota Witkowska

摘要

Africa is the least successful region of the world in reducing poverty and it is identified as the world's poorest inhabited continent. However, sub-Saharan countries are diverse in terms of socio-economic level of development. There are several global indicators such as Human Development Index (HDI) which cannot properly diversified sub-Saharan (in majority poor) states properly. Therefore, our research aims in the construction of synthetic indicators which may be used to provide ranking of sub-Saharan countries in terms of socio-economic development, and comparison of rankings based on the constructed synthetic measures to HDI. In the research, we distinguished 55 uncorrelated variables describing different life domains: (1) economy, (2) education, (3) environment, (4) health, (5) employment, (6) IT, (7) life condition and infrastructure, (8) public safety and (9) situation of women which are used for the synthetic measure of development construction. All analysed countries were classified into 4 homogenous groups in terms of measures describing selected life domains and standard of living as an aggregated measure.