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Disincentivising overbidding for toll road concessions

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EXECUTIVE SUMMARY<br />

Case studies from other sectors<br />

••<br />

Turning from <strong>toll</strong> <strong>road</strong>s to other sectors, from which might be learned lessons about <strong>overbidding</strong> and procurement<br />

practice generally, attention in the report then focuses on the passenger rail sector in Great Britain. Since their<br />

privatisation back in the early 1990s, GB rail services have been delivered through competitively procured<br />

franchises. Of interest to this study:<br />

◦◦<br />

prequalification screening specifically includes assessments of any past failure to deliver on contractual<br />

commitments;<br />

◦◦<br />

service requirements are becoming less tightly specified, to promote delivery innovation and flexibility;<br />

◦◦<br />

bid appraisal pays detailed attention and gives a high weighting to the deliverability of the bids themselves.<br />

••<br />

Of particular note, however, is the treatment of the bidders’ revenue <strong>for</strong>ecasts. These are split into exogenous<br />

and endogenous revenue-affecting factors. Exogenous factors (outside of management control, such as GDP) are<br />

normalised (equalised across all bid submissions) and the detailed deliverability plans are used to evaluate the<br />

residual endogenous revenue-affecting assumptions.<br />

••<br />

Other features of GB rail franchising include strong government commitment not to renegotiate contracts and the<br />

use of revenue risk-sharing arrangements, including revenue adjustment mechanisms linked specifically to GDP<br />

growth. This leads to a reward culture that directly reflects management actions, rather than positive or negative<br />

GDP fluctuations. A range of harsh financial penalties is triggered in the event of a franchisee default, providing<br />

incentives to structure bids in the first place that have low default risk exposure.<br />

••<br />

The second non-<strong>toll</strong> <strong>road</strong> case study presented in the report examines third-generation spectrum licences<br />

auctioned <strong>for</strong> mobile phones in the UK. Here, the emphasis was placed on efficient, sustainable solutions that<br />

offered the highest economic value (rather than the highest revenue). The auction was based on an open,<br />

multi-round, ascending-bid design, with the bid prices being made public at the end of each round (revealing<br />

competitor behaviour). Bidders paid substantial deposits (linked to bid size) at the outset as insurance against<br />

default and to deter frivolous bidding (<strong>overbidding</strong>).<br />

••<br />

Subsequent UK radio spectrum auctions have moderated the emphasis on revenue-raising more explicitly, with<br />

even greater priority being placed on efficient utilisation of the asset.<br />

••<br />

The final case study looks at the ‘menu-based’ system used by Ofwat, the regulator of the water sector in England<br />

and Wales, to incentivise truthful revelation of business plan requirements. In short, water companies are<br />

required to submit business plans that detail their capital expenditure (CAPEX) projections, which are used in turn<br />

to set price caps (the higher the CAPEX, the higher the price cap). Water companies are subsequently rewarded if<br />

their outturn costs are equal or close to their original cost <strong>for</strong>ecasts, or penalised otherwise.<br />

• • The mechanism itself is structured such that the reward from providing an accurate <strong>for</strong>ecast is greater than<br />

the maximum reward from over- or understating the companies’ CAPEX requirements. This disincentivises<br />

the companies from overstating (gaming) their CAPEX projections simply to benefit from a higher price cap.<br />

Similar arrangements could be applied to <strong>toll</strong> <strong>road</strong>s, making truthful revelation of demand estimates incentivecompatible,<br />

possibly by rewarding companies <strong>for</strong> the accuracy of their <strong>for</strong>ecasts.<br />

3

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