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Post 2015: Global Action for an Inclusive and Sustainable Future

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CHApTER FIvE<br />

There is a<br />

need <strong>for</strong> better<br />

measurement but<br />

also <strong>for</strong> greater<br />

sensitivity to <strong>an</strong>d<br />

incorporation<br />

of those aspects<br />

of poverty that<br />

c<strong>an</strong>not be<br />

measured.<br />

76<br />

their ‘joint distribution’ (which c<strong>an</strong> be interpreted<br />

as a measure of the intensity of household poverty).<br />

the implication is that it is somewhat worse to be<br />

deprived in multiple dimensions (or indicators)<br />

th<strong>an</strong> in just one. there<strong>for</strong>e, the mpI combines<br />

both the incidence <strong>an</strong>d depth of multidimensional<br />

poverty in a single measure, <strong>an</strong>d enables policymakers<br />

to focus on such households.<br />

the mpI results both echo <strong>an</strong>d deepen the findings<br />

from work on income poverty (<strong>for</strong> example, alkire<br />

<strong>an</strong>d S<strong>an</strong>tos, 2010). according to the latest mpI data,<br />

some 1.6 billion people, representing 31% of people<br />

living in developing countries, are living in extreme<br />

poverty – well above the 1.3 billion identified by<br />

the $1.25 a day measure. While mpI levels are<br />

loosely correlated with income poverty, there is also<br />

widespread variation in certain countries. Similarly,<br />

the mpI identifies a broad association between the<br />

incidence <strong>an</strong>d intensity of poverty, but also points<br />

to countries in which one aspect is much more<br />

pronounced th<strong>an</strong> the other. mpI measures also<br />

point to the concentration of poverty in mIcs <strong>an</strong>d<br />

in particular countries such as India, where there are<br />

m<strong>an</strong>y more poor people th<strong>an</strong> in SSa, although the<br />

intensity of multidimensional poverty is on average<br />

higher in the latter. trend data <strong>for</strong> ten countries with<br />

observations <strong>for</strong> at least two years in the 2000s show<br />

a reduction in all of them (alkire et al., 2011).<br />

Ef<strong>for</strong>ts to apply a broader multidimensional<br />

approach tend to be constrained by a lack of<br />

data. there are signs that this focus is beginning<br />

to influence official statistics, albeit slowly <strong>an</strong>d<br />

haltingly. one good example is sustainability,<br />

where natural capital accounting – which seeks<br />

to assign a value to the natural resources used<br />

in production – moved <strong>for</strong>ward with the recent<br />

adoption of accounting procedures by the un<br />

Statistical commission, despite criticism of the<br />

‘commoditisation’ of common resources.<br />

there have also been adv<strong>an</strong>ces in other areas,<br />

although a major gap pertains to intra-household<br />

EuropE<strong>an</strong> rEport on DEvElopmEnt 2013<br />

dynamics. there has been considerable attention<br />

devoted to inequalities in childhood but less to<br />

later periods of life. there has been some attention<br />

to gender-based differences but household surveys<br />

often focus on the nominal head, who is usually<br />

assumed to be <strong>an</strong>y m<strong>an</strong> who is present. there is<br />

a continuing need to address intra-household<br />

disparities across dimensions of wellbeing; surveys<br />

that seek to include several members of the same<br />

household show that this is feasible <strong>an</strong>d that it<br />

provides useful insights <strong>for</strong> policy.<br />

at the same time, it is import<strong>an</strong>t to be realistic<br />

about what c<strong>an</strong> <strong>an</strong>d c<strong>an</strong>not be measured, <strong>an</strong>d to<br />

acknowledge the limitations of poverty numbers.<br />

there is a need <strong>for</strong> better measurement but also<br />

<strong>for</strong> greater sensitivity to <strong>an</strong>d incorporation of<br />

those aspects of poverty that c<strong>an</strong>not be measured.<br />

on the measurement side, official statistics on<br />

non-monetary aspects of wellbeing are weak –<br />

particularly <strong>for</strong> complex aspects such as the quality<br />

of health <strong>an</strong>d education, agency <strong>an</strong>d govern<strong>an</strong>ce.<br />

Subjective measures may yield useful insights but<br />

need to be further refined, <strong>an</strong>d more attention<br />

needs to be devoted to their interpretation. beyond<br />

these technical issues (which are often associated<br />

with political <strong>an</strong>d/or attitudinal constraints),<br />

recent research shows that statistics c<strong>an</strong>not capture<br />

m<strong>an</strong>y aspects that matter to people. naila Kabeer<br />

once commented that statistical perspectives on<br />

decision-making offered ‘simple windows on<br />

complex realities’, <strong>an</strong>d this applies more broadly<br />

to measurement endeavours, particularly in light<br />

of the wealth of evidence on the ‘multiplicity of<br />

me<strong>an</strong>ings’ that people accord to their experience<br />

of deprivation (chambers, 2004). Such aspects are<br />

still divorced from the current poverty discourse<br />

<strong>an</strong>d mDG debate, which there<strong>for</strong>e lags ‘behind<br />

our underst<strong>an</strong>ding of realities on the ground in<br />

signific<strong>an</strong>t ways’; <strong>for</strong> inst<strong>an</strong>ce, in underplaying<br />

‘powerlessness, stigma, discrimination <strong>an</strong>d<br />

isolation…’, as well as the interconnections among<br />

deprivations <strong>an</strong>d policies (poverty <strong>an</strong>alysis<br />

Discussion Group, 2012: 3).

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