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POVERTY REDUCTION STRATEGY TN

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iii. Even for the relatively good cross-sectional indicators, step-wise targeting based<br />

solely on cross-sectional data is significantly more costly than perfect targeting<br />

in achieving any given impact on chronic poverty.<br />

iv. While there is some variation from year to year, there is no obvious pattern, such<br />

as between ‘good’ and ‘bad’ agricultural years. This does not bear out the<br />

finding of Lanjouw and Stern (1991) that current income in a good agricultural<br />

year is a better indicator of chronic poverty than in a bad year.<br />

The last mile reach strategies can attempt to focus the benefit of public<br />

expenditure to the poor by identifying them as direct beneficiaries, screening out<br />

unintended beneficiaries as well as by dovetailing the programmes to suit the specific<br />

needs of the targeted populations. Last mile reach strategies involve identification of the<br />

potential beneficiary and the administration of the benefit. These strategies refer to<br />

strategies for targeting, allocation of funds or benefits, and conversion of funds or<br />

benefits into outcomes aimed at achieving the MDGs.<br />

6.1 Targeting Strategies<br />

a. Methods of Targeting<br />

A number of alternative methods of targeting can be identified, as discussed below:<br />

a1. Individual Assessment Mechanism<br />

In this mechanism, each potential beneficiary has to be examined separately to assess<br />

whether he is a bonafide applicant on the basis of various criteria, to receive the benefit<br />

of the programme.<br />

a2. Group Assessment<br />

In this case, an eligible group is decided on the basis of special characteristics, e.g.,<br />

school lunch programmes that operate only in poor areas, programmes that<br />

predominantly benefit chosen states, districts, blocks, neighbourhoods based on relevant<br />

characteristics.<br />

a3. Geographic Targeting<br />

The main attraction of geographic targeting is its simplicity. Regions can be assigned<br />

priority on the basis of existing aggregate data. The complicated administrative<br />

mechanisms or means test for selecting beneficiaries individually are not required in the<br />

case of geographic targeting. Many Latin American countries have attempted geographic<br />

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