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Paris School of Economics - L'Agence Française de Développement

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The issues to be covered notably inclu<strong>de</strong>d the increasing use ma<strong>de</strong> <strong>of</strong> various types <strong>of</strong> household<br />

surveys and their limits, whether the focus is on economic well-being, health or poverty when<br />

<strong>de</strong>fined as a truly multi-dimensional concept. Attention was also drawn to the new indicators<br />

that summarise the various aspects <strong>of</strong> <strong>de</strong>velopment through the average individual subjective<br />

satisfaction <strong>of</strong> a population and how this may compare with more traditional objective measures.<br />

On a different topic, special focus was given to the issue <strong>of</strong> “<strong>de</strong>velopment sustainability”,<br />

in particular through the concept <strong>of</strong> “net effective savings”, which takes into account the<br />

consumption or <strong>de</strong>preciation <strong>of</strong> various stocks <strong>of</strong> natural, material, human or social resources.<br />

The specific topics covered by the various papers and discussions in this volume are:<br />

International pricing, national accounts, and household surveys:<br />

how can these data inform us on standards <strong>of</strong> living, poverty and inequality?<br />

Today, we have more and better quality measures <strong>of</strong> economic <strong>de</strong>velopment than ever before.<br />

Household surveys are constantly growing in number and availability, providing us not only with<br />

data on household income and expenditure, but also direct measures on health, particularly<br />

on anthropometrics, infant mortality, and self-reported material and emotional well-being.<br />

The latest round <strong>of</strong> the International Comparison Project (ICP) collected prices <strong>of</strong> comparable<br />

goods in 146 countries, many <strong>of</strong> which had not yet come un<strong>de</strong>r study. These data bring new i<strong>de</strong>as<br />

and new insights on national and individual economic <strong>de</strong>velopment.Yet, there are persistent<br />

problems <strong>of</strong> interpretation and consistency between these different types <strong>of</strong> data. Why is world<br />

poverty not retreating as quickly as one might expect in view <strong>of</strong> global economic growth?<br />

Why are Indians consuming fewer and fewer calories when their nutritional status is so low<br />

and their incomes rising rapidly? Why does economic growth not always tie up with an improved<br />

feeling <strong>of</strong> well-being in a population? And how should we interpret the pronounced increases<br />

in poverty and inequality estimates shown by the ICP.<br />

The multidimensionality <strong>of</strong> poverty<br />

The multidimensionality <strong>of</strong> poverty is very ina<strong>de</strong>quately accounted for in conventional statistics.<br />

The indicator most <strong>of</strong>ten used is “monetary poverty”, which is generally <strong>de</strong>fined as monetary<br />

income (or consumption) below an arbitrarily set threshold. However, other kinds <strong>of</strong> <strong>de</strong>privation,<br />

such as no access to basic infrastructure, health care, education or public <strong>de</strong>cision-making are<br />

equally important — and do not neatly correlate with income.<br />

So far in the research on poverty, the spotlight has been on “monetary poverty”, while data<br />

on access to safe drinking water, infant mortality, illiteracy or political participation have been<br />

treated separately. Recent studies have tried to remedy this approach by integrating the different<br />

dimensions <strong>of</strong> poverty. In line with Sen’s “capability” approach, they explore different types<br />

<strong>of</strong> <strong>de</strong>privation that reflect the various facets <strong>of</strong> poverty. They also pay particular attention to areas<br />

where these different dimensions may overlap when one is assessing the severity <strong>of</strong> poverty.<br />

[ 8<br />

] © AFD / Measure for Measure / How Well Do We Measure Development? / December 2011

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