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Multidimensional poverty indicators in Brazil's Legal Amazon
Camila de Moura Vogt1,2, Ricardo Bruno Nascimento Dos Santos2, Danilo Araújo Fernandes2
1Universidade Federal de Santa Maria, Santa Maria, Brasil.
Cadernos De Saude Publica
|March 26, 2025
Summary
A multidimensional poverty index (MPI) offers a comprehensive view of poverty in Brazil
Area of Science:
- Public Health
- Socioeconomics
- Regional Development
Background:
- Socioeconomic indicators are vital for public health research, resource allocation, and treatment strategies.
- Traditional income-based poverty lines inadequately capture the complexities of poverty in regions like Brazil's Legal Amazon.
- High epidemiological complexity and vulnerable populations necessitate more nuanced poverty assessment.
Purpose of the Study:
- To estimate a multidimensional poverty index (MPI) for Brazil's Legal Amazon.
- To evaluate the limitations of one-dimensional poverty analysis in this region.
- To inform public policy by providing a more complete understanding of socioeconomic conditions.
Main Methods:
- Utilized the Alkire-Foster (2010) methodology for MPI calculation.
- Incorporated indicators beyond income, focusing on public health and well-being factors.
- Analyzed socioeconomic and living conditions in Brazil's Legal Amazon.
Main Results:
- The MPI revealed significant differences in rural poverty characteristics, intensity, and incidence.
- These nuances in poverty were not identified by traditional one-dimensional income indicators.
- The multidimensional approach provided a more complete picture of poverty in the region.
Conclusions:
- The multidimensional poverty approach is essential for understanding and addressing public health challenges.
- It facilitates the development of targeted public policies for socioeconomic development.
- MPI is a key tool for regions with high epidemiological complexity and vulnerable populations.
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