Strengths and weaknesses of multidimensional indicators of poverty

The MPI is unable to capture inequality. As previous reviews have demonstrated, sustainability indices do not rank countries consistently, even when using some of the same indicator data.

The MPI complements traditional income-based poverty indices by measuring the multiple deprivations that households face at the same time.

Since the MPI simply counts the number of items lacked by households, it assumes that no correlation exists between them. When an academic publishes a paper on poverty reduction, what exactly is he proposing to reduce?

To aid policy decisions, these indicators are therefore either presented in the context of a conceptual framework, or quantitatively aggregated into indices.

Analysis of Multidimensional Poverty: Theory and Case Studies

Multidimensional poverty assessments aim to measure the non-income based dimensions of poverty, to provide a more comprehensive assessment of the extent of poverty and deprivation. This assumption is not realistic. The main tools used in this approach are the Poverty Line and the Basic Needs methodologies.

This unique structure leads to the following advantages compared to the MPI: It is easily calculated compared to social indicatorsqualitative method. However, the CSPI does not require a cut-off. The Monetary Approach to Poverty: Oxford Development Studies, Vol.

Hence, these policies have had little or no effect, and today poverty and inequality seem to be defeating most of the efforts of development agencies and governments.

In the past, some of the poverty reduction policies that were applied were not correct, even in the eyes of the Monetary Approach. However, policy decisions can be ineffective or even counterproductive if they do not consider factors which influence index behavior: Several improvements would increase the utility of sustainability indices for policy decisions, particularly the identification of biases introduced by the index methodology and data inclusion.

The appealing simplicity of the MPI, however, comes at a cost. In it, the author uses examples to develop the rationale underlying the new approach.

The discrepancy of current sustainability indices due to theoretical or methodological differences supports the use of several complementary indices. Besides other appealing properties, in particular its decomposability, the MPI has the advantage that it is very easy to calculate.

Although it might seem preferable to determine multidimensional poverty based on deprivation in any indicator, previous MPIs have found considerable abnormalities in using only one deprivation, partly because of cultural and climactic diversity, and partly because the scale of these deprivations varies widely.

The CSPI is able to capture the correlation between the poverty indicators. Highlights rising wealth within a country. The large number of economic, social, and environmental indicators currently available provides an unwieldy view of system sustainability.

This results in less attention paid to the neediest of the needy. Though the indexes are consistent with standard economic theory, the consistency with reality seems to be questionable.

Mayer Show more https: Example being, cash in hand work, such as baby sitting, helping a friend out with trade related jobs; or on the illegal side, drug sales and counterfeit goods. What is actually produced in the Less Developed Countries LDC does not always have a monetary value informal economy Example, subsistence farming still constitutes a significant proportion of the productive activities in LDC countries.

To what extent can this assumption be sustained? Rippin introduced the Correlation Sensitive Poverty Index, a new index that shares the appealing properties of the MPI but none of its weaknesses.

Collaboration and climate adaptation:This book presents a new method for measuring multidimensional poverty. The author critically analyzes various statistical approaches, and proposes a new way of applying a factorial technique, Multiple Correspondence Analysis, to poverty analysis.

Strengths and weaknesses of common sustainability indices for multidimensional systems. Author links open overlay social, and environmental indicators currently available provides an unwieldy view of system sustainability.

Current Publications

Hezri and Dovers, ), and it is critical to understand index strengths, weaknesses, biases, and scale. Review of Poverty Concepts and Indicators over time, highlighting their strengths and weaknesses.

Rationale and definition:

It concludes with practical guidance to inform the choice of poverty indicators at country level. As a multidimensional phenomenon, poverty is defined and measured in a. The Monetary Approach to Poverty: Strengths and Weaknesses. February 5, Monetary Comments Off on The Monetary Approach to Poverty: Strengths and Weaknesses 6, Views.

By Fabian Soria. It is important to understand what the poverty indicators really mean, because the only way of making use of this data is by a proper interpretation of.

Like all statistical indicators, poverty measurements are not just a technical matter but are also a reflection of the social concerns and values attached to the subject in question.

Summary: This paper reviews some available literature on the Multi-dimensional indicators of poverty as defined by the UNDP in the human development report as the Human Poverty Index and identifies the strengths and weakness of these multi-dimensional indicators.

Strengths and weaknesses of multidimensional indicators of poverty
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