The Theory and Evidence Concerning Public-Private Partnerships in Canada and Elsewhere
Bibliographic record
Abstract
The popularity of Public-Private Partnerships (PPPs), as a way for governments to get infrastructure built, continues to grow. But while the public is often led to believe that this is because they result in a more efficient use of taxpayer funds and a more streamlined process, this is not necessarily the case. In fact, the clearest advantage that PPPs offers is to politicians, who are able to transfer to private partners the risks of miscalculated construction costs and revenue projections (as with a toll road, for example). For taxpayers, the deals can often work out worse than if the government had simply pursued a fixedprice design-build Public Sector Alternative (PSA) arrangement. Even from the very start of the process, there are often a limited number of private consortia equipped to bid on major PPPs, which already leads to the potential for bidders to build in higher profits, and thus, higher costs for taxpayers. Nor are these private consortia oblivious to the risks they assume; they must therefore build into their bid an effective “insurance premium” to account for unforeseen delays and increased costs. The use of private debt to finance construction further inflates prices over a government’s lower cost of capital. To an incumbent government, a key advantage of PPPs is the ability to avoid upfront costs, and let the private consortium arrange financing until the project is complete, allowing politicians to take the credit for new infrastructure while passing future maintenance and operating costs off onto future politicians, taxpayers and/or users. This, however, only provides both the incentive and bookkeeping artifice — since costs are incurred off the government’s current balance sheet — for governments to build more infrastructure than might otherwise be justified. Advocates of PPP would argue that one clear benefit PPPs do offer the public is an impressive record of bringing in projects on time and on budget. It is true that the inflexibility of contracts and the financial risk transferred to the private partners have a powerful effect in keeping projects on track. However, the yardsticks by which the on-time and on-budget criteria are measured are typically flawed. The “start dates” of PPPs are marked after the conclusion of a lengthy negotiation and project-planning process between a government and a private consortium, making project completions seem more efficient than they really are. Meanwhile, the estimated cost of a project has a tendency to increase during that preliminary process. In other words, the delay and cost inflation that so often characterize traditional PSAs are not magically eliminated in a PPP: they just tend to occur prior to the first shovel breaking ground, rather than incrementally over the course of the project’s construction. Ultimately, several of the problems common to traditional government PSA projects, and supposedly absent from PPP arrangements, are still there, only much harder to discern. The costs can be just as high, if not higher than with a fixed-price PSA, the timeframes can be just as lengthy, when the entire process is accounted for, and the amount of government resources tied up in the negotiation and planning process will often rival that of traditional procurement methods. Furthermore, all those risks that are supposedly transferred to private players are never truly transferred: The government is always the residual risk holder should the consortium somehow fail. From a policy standpoint, the measure of whether PPPs are worthwhile should be based not on whether they come in on time or on budget, but whether they increase social value relative to a PSA. There is, currently, no convincing evidence that they do.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.021 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".