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eport<strong>in</strong>g of data. However, district rank<strong>in</strong>gs rema<strong>in</strong> more or less unaffected.<br />

<strong>in</strong>clude eight metropolitan cities <strong>and</strong> districts <strong>in</strong> Northern <strong>and</strong> Central Punjab. Figure<br />

4.9 displays complete mapp<strong>in</strong>g of districts on the basis of the <strong>in</strong>dex for 2005-06 along<br />

with <strong>development</strong> rank (<strong>in</strong> parenthesis) for selected districts. The three categories<br />

<strong>in</strong>clude the most-developed districts, i.e., where the <strong>in</strong>dex is 1 st<strong>and</strong>ard deviation (SD)<br />

above the mean, least-developed districts, i.e., where the <strong>in</strong>dex is 1 SD below the mean,<br />

<strong>and</strong> the medium-developed districts that consist of all other districts. Aga<strong>in</strong>, we can<br />

clearly see that <strong>in</strong>vestment <strong>in</strong> social <strong>in</strong>frastructure is highly concentrated <strong>in</strong><br />

metropolitan cities, big cities <strong>and</strong> their surround<strong>in</strong>g districts while districts located away<br />

from these urban dem<strong>and</strong> centers (e.g., southern Punjab, <strong>in</strong>terior of S<strong>in</strong>dh <strong>and</strong> remotely<br />

located districts <strong>in</strong> Khyber Pakhtunkhwa <strong>and</strong> Balochistan) are lagg<strong>in</strong>g beh<strong>in</strong>d. As<br />

predicted by the literature on New Economic Geography, only the better ranked districts<br />

(that have a pool of skilled workers) are concentrated by large-scale manufactur<strong>in</strong>g<br />

<strong>cluster</strong>s (see Figure 4.10 based on plant level data from CMI 2005-06).<br />

However, <strong>in</strong> least developed districts <strong>in</strong>dustry composition is determ<strong>in</strong>ed by their<br />

natural advantage <strong>in</strong> resource based <strong>in</strong>dustry, e.g., agro-based <strong>in</strong>dustries, h<strong>and</strong>icrafts<br />

<strong>and</strong> resource-based r<strong>and</strong>omly scattered plants such as petroleum plants, sugar mills,<br />

g<strong>in</strong>n<strong>in</strong>g factories, marble & m<strong>in</strong>erals, <strong>and</strong> the like. Figure 4.11 displays that most<br />

resource-based <strong>in</strong>dustry <strong>cluster</strong>s are located <strong>in</strong> districts where the pr<strong>in</strong>cipal component<br />

post-primary school system <strong>and</strong> hospital <strong>in</strong>dex (given <strong>in</strong> parenthesis) is at the lower end<br />

of the distribution.<br />

It is <strong>in</strong>terest<strong>in</strong>g to note that our human capital <strong>in</strong>frastructure based rank<strong>in</strong>gs of districts<br />

closely overlap with two other recent studies (e.g., the <strong>development</strong> rank order<strong>in</strong>g of<br />

districts by Wasti <strong>and</strong> Siddiqui (2008) <strong>and</strong> district-wise <strong>in</strong>dex of multiple deprivations<br />

by Jamal et al. (2003). If any th<strong>in</strong>g, these evidences help <strong>in</strong> underst<strong>and</strong><strong>in</strong>g the<br />

relationship between <strong>in</strong>frastructure <strong>development</strong> <strong>and</strong> growth <strong>and</strong> <strong>in</strong> determ<strong>in</strong><strong>in</strong>g the<br />

areas of need.<br />

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