Abstract
The primary objective of this study is to capture multi-poverty with values for welfare dimensions rather than the typical
approach of a composite welfare indicator. The method used to explain, measure and calculate the scores for five dimensions
of welfare is Structural Equation Modeling. Poverty analysis methods applied on these scores show that each type of poverty
has specific determinants, although some determinants are common to several dimensions of poverty. Similarly, each region
is affected by particular types of poverty while no form of poverty is unique to a single region. We thus propose to target
multi-poverty via dimensional scores to formulate policy. A comparison with previous approaches shows that dimensional scores
are more appropriate for identifying the specific needs of the population in the fight against poverty.
approach of a composite welfare indicator. The method used to explain, measure and calculate the scores for five dimensions
of welfare is Structural Equation Modeling. Poverty analysis methods applied on these scores show that each type of poverty
has specific determinants, although some determinants are common to several dimensions of poverty. Similarly, each region
is affected by particular types of poverty while no form of poverty is unique to a single region. We thus propose to target
multi-poverty via dimensional scores to formulate policy. A comparison with previous approaches shows that dimensional scores
are more appropriate for identifying the specific needs of the population in the fight against poverty.
- Content Type Journal Article
- Pages 1-23
- DOI 10.1007/s11205-012-0087-8
- Authors
- Paul Ningaye, University of Dschang, P.O. Box 110, Dschang, Cameroon
- Tiomela Yemedjeu Alexi, University of Dschang, P.O. Box 110, Dschang, Cameroon
- Takoutio Feudjio Virginie, University of Dschang, P.O. Box 110, Dschang, Cameroon
- Journal Social Indicators Research
- Online ISSN 1573-0921
- Print ISSN 0303-8300