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Revisiting the MDG’s: Exploring a Multidimensional Framework for Human<br />

Development<br />

seen to capture a diluted picture of cultural differences,<br />

economic unevenness, entitlement-deficits, access<br />

disparities, and freedom variations; and on the other, a<br />

disjointed incoherence within various goals is perceived as<br />

restraining the correspondence of the achievements of one<br />

goal with the accomplishment of the other. Why this<br />

happens and how this permeates through the various targets<br />

and indicators of the MDG regime is purported to be<br />

addressed by this article. To underscore the validity of what<br />

is argued, it is also shown that how the development<br />

paradigm contained in the capabilities approach (CA) of<br />

Nobel Laureate Amartya Kumar Sen provides a more<br />

plausible alternative by taking proper cognizance of these<br />

limitations.<br />

The case of aggregated generalization is illustrated by a<br />

simple example. Take the first target of MDG’s first goal<br />

which aims at a reduction in acute poverty by half (on the<br />

scale of a Dollar a day). By this target, given a Million people<br />

living below the Dollar a day line, scaling up half a Million<br />

above the line suffices in proclaiming the achievement of the<br />

goal. But what if half of this Million were already living on<br />

above 95 cents a day and the other half on five cents or less?<br />

Won’t taking away the last five cents from the bottom half<br />

and bestowing it on those living on 95 cents or more<br />

accomplish the target for the goal?<br />

No doubt this is a case of extreme hypothecation, but it does<br />

raise concerns about the sufficiency of the MDG’s framework<br />

to cater to such, howsoever atypical, eventualities. And<br />

howbeit, the example highlights the partial-factuality<br />

inherent in an aggregated approach, induced by the want of<br />

concern for distributional inequity. The MDG’s contrivances<br />

of poverty gap ratio and share of poorest quintile in national<br />

income are inadequate instruments to address this quandary<br />

mainly because distributional imbalances are seldom<br />

captured by the mathematical tools of rates, ratios and<br />

percentages. Greater context-specificity and deeper<br />

informational comprehensiveness is needed to guard against<br />

such instrumental abstractions.<br />

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