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Regulatory Incentives for Investments in Electricity Networks - CRNI ...

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External effects can also be <strong>in</strong>cluded <strong>in</strong> the cost-benefit analysis. For example an expansion of<br />

the transmission system can br<strong>in</strong>g substantial environmental benefits by avoid<strong>in</strong>g air emissions<br />

otherwise caused by local generation and by reduc<strong>in</strong>g the need to procure local air offsets needed<br />

<strong>for</strong> generation. 17 If the environmental costs are <strong>in</strong>ternalised (i.e. <strong>in</strong>cluded <strong>in</strong> the <strong>in</strong>vestments costs<br />

and <strong>in</strong> the operation and ma<strong>in</strong>tenance costs) the benefits will be automatically accounted <strong>for</strong> via<br />

the avoided costs. If it is not the case, they should be additionally quantified provided that<br />

sufficient <strong>in</strong><strong>for</strong>mation is available.<br />

4.2 H<strong>in</strong>dsight Efficiency Analysis Us<strong>in</strong>g Total Costs<br />

Under this approach, the problem of <strong>in</strong>vestment assessments is effectively bypassed. The<br />

regulator does not need to <strong>for</strong>m an op<strong>in</strong>ion on whether a given <strong>in</strong>vestment proposal should be<br />

allowed or not. Rather, the regulator considers the actual total costs (<strong>in</strong>clud<strong>in</strong>g the capital costs<br />

of new <strong>in</strong>vestments) <strong>in</strong>curred by the network operator and sets the efficiency <strong>in</strong>crease factor<br />

based on an efficiency assessment (benchmark<strong>in</strong>g) of these costs.<br />

The efficiency assessment can be made by compar<strong>in</strong>g the exist<strong>in</strong>g companies and us<strong>in</strong>g<br />

traditional benchmark<strong>in</strong>g techniques, such as Data Envelopment Analysis (DEA), Corrected<br />

Ord<strong>in</strong>ary Least-Squire (COLS) or Stochastic Frontier Analysis (SFA). When the data sample is<br />

small or <strong>in</strong>complete, such techniques cannot be applied effectively. Eng<strong>in</strong>eer<strong>in</strong>g network models<br />

provide an alternative approach that can be used to fill the gap that traditional benchmark<strong>in</strong>g<br />

techniques cannot cover. In contrast to the traditional techniques, eng<strong>in</strong>eer<strong>in</strong>g network models do<br />

not rely on exist<strong>in</strong>g alternative options, but rather create these options on the basis of<br />

predeterm<strong>in</strong>ed economic and eng<strong>in</strong>eer<strong>in</strong>g criteria.<br />

The efficiency <strong>in</strong>centives of this approach come from the fact that <strong>in</strong> each regulatory period, the<br />

efficiency <strong>in</strong>crease requirements are set on the basis of per<strong>for</strong>mance achieved <strong>in</strong> previous years.<br />

If the firm manages to <strong>in</strong>crease productivity, its efficiency score will be higher <strong>in</strong> future periods<br />

and consequently the required efficiency <strong>in</strong>crease will be lower. An additional advantage of this<br />

approach is that it provides an <strong>in</strong>centive to the service provider to be <strong>in</strong>different to the mix of<br />

<strong>in</strong>puts and to deliver its required output at the lowest total cost.<br />

The threat that capital costs of <strong>in</strong>vestments may be rejected, or partially disallowed, <strong>in</strong> the<br />

process of benchmark<strong>in</strong>g provides an <strong>in</strong>centive to the regulated company to only undertake<br />

efficient <strong>in</strong>vestment. Such an <strong>in</strong>centive is considered necessary because the regulated company is<br />

likely to hold better <strong>in</strong><strong>for</strong>mation than the regulator about the prospective efficiency of a proposed<br />

<strong>in</strong>vestment. There<strong>for</strong>e, by mak<strong>in</strong>g the company accept the consequences of its <strong>in</strong>vestment<br />

decisions, the probability that <strong>in</strong>efficient <strong>in</strong>vestment will take place is weakened. On the other<br />

hand, the regulatory threat that capital costs of <strong>in</strong>vestments can be disallowed due to the ex-post<br />

benchmark<strong>in</strong>g could discourage regulated companies from implement<strong>in</strong>g even good <strong>in</strong>vestment<br />

projects. Also, there may be capital expenditure that is planned and conducted <strong>in</strong> good faith that<br />

eventually proves “imprudent” on an ex-post basis. Moreover, the credibility of the efficiency<br />

analysis depends on the data quality, adequacy of the model specification and the robustness of<br />

17 Such reductions may also have secondary effects. They may assist <strong>in</strong> allow<strong>in</strong>g new <strong>in</strong>dustries with higher<br />

economic value to enter the local area by avoid<strong>in</strong>g negative impacts to the local water and natural gas supplies<br />

otherwise required <strong>for</strong> local generation. Also transmission upgrade may reduce the construction of additional<br />

<strong>in</strong>frastructures such as gas pipel<strong>in</strong>es, pump<strong>in</strong>g stations, and water and waste treatment systems.<br />

12

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