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Railway Reform: Toolkit for Improving Rail Sector Performance - ppiaf

Railway Reform: Toolkit for Improving Rail Sector Performance - ppiaf

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<strong><strong>Rail</strong>way</strong> <strong>Re<strong>for</strong>m</strong>: <strong>Toolkit</strong> <strong>for</strong> <strong>Improving</strong> <strong>Rail</strong> <strong>Sector</strong> Per<strong>for</strong>mance<br />

Case Study: Camrail<br />

After concessioning, Camrail labor productivity increased sharply as traffic grew<br />

and initial staff redeployments were made; productivity then stabilized and is<br />

now rising again as traffic recovers. Generally, asset productivity increased as<br />

Camrail made greater use of assets that were idled or waiting <strong>for</strong> repair. Figure 2<br />

summarizes traffic volumes and three key productivity indicators—traffic units<br />

(passenger-km plus net ton-km) per staff, an indicator of labor productivity; traffic<br />

units per locomotive, and net ton-km per Camrail wagon, during pre- and<br />

post-concession. 153<br />

153 A consistent series is available only <strong>for</strong> railway-owned wagons; about 130 privatelyowned<br />

wagons also move on the network.<br />

The World Bank Page 332

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