A €500 million incentive to accelerate the adoption of a technology
Public policy
Most of the spend goes to those who would have acted anyway.
In the scenario Same target at a fraction of the cost; avoided a €500M transfer benefiting the wealthiest.
The protagonist & the context
The head of the technology-policy unit, with a deployment target to hit within the legislative term and a package already approved in principle by the government.
A ministry with a mandate to accelerate the adoption of an emerging technology — renewable, energy efficiency or similar — in a context where current penetration stands at 12% and the stated target is 35% within five years. The €500 million budget is the backbone of the plan.
Background
Evaluations of analogous technology-incentive policies in other countries reveal a systematic pattern: on average, 40–60% of applications come from parties who would have adopted the technology within one to two years regardless of the incentive. The phenomenon — known as «deadweight loss» in the policy-evaluation literature — is amplified when the incentive is universal and access barriers are low. On the supply side, vendors of the incentivised technology tend to raise list prices in proportion to the available subsidy, eroding net benefit for the end recipient and shifting value up the supply chain. The income distribution of the benefit is rarely neutral: technologies with high upfront costs are adopted faster by higher-income segments that can advance the spending.
The dilemma
The incentive looks like a guaranteed success: a clear public goal, a popular tool, available funds. But the question no one formally asks is how many of the adoptions being counted would have happened anyway. If 50% of beneficiaries would have acted without the incentive, the policy is spending €500 million to generate €250 million of real effect — at a cost per additional adoption more than twice the projections. And if vendors raise prices by 15–20% knowing the incentive covers that threshold, the benefit flows not to the citizen but to the supply chain. A broad incentive with no income barriers and no price cap is not an acceleration policy: it is a subsidy to those who were already in motion.
Exhibits
Estimated percentage of beneficiaries who would have adopted the technology without the incentive, by income bracket — the share is highest among those who need it least (illustrative data).
Estimated cost per incremental adoption genuinely generated by the incentive versus the nominal cost per beneficiary stated in the plan (illustrative data).
The contradictor's analysis
- The incentive really changes behavior.
- No one takes it to do what they'd have done anyway.
- The cost is sustainable and the effect lasting.
Much of the money risks going to those who'd have acted anyway: you pay for something that would have happened regardless, and the cost per «additional» effect explodes. It can also be unfair (it rewards the wealthiest) and suppliers can simply raise prices, pocketing the incentive. The real result is much smaller than the amount spent.
- How many beneficiaries would have acted even without the incentive (from similar studies)?
- How much of the incentive ends up in price increases?
- How do the beneficiaries break down by income?
- What is the cost per «additional» effect actually generated, not per beneficiary?
- Who really cashes in: the target citizen or the supplier?
Provenance: evaluations of similar policies · market data · income simulation · red-team base.
Resolution & consequences
Methodological note
Composite teaching case. Figures and details are illustrative; it is not a client outcome or a performance claim. Built, in the method of the Harvard Business Review, from recurring decision patterns in the sector, merged and anonymized to protect confidentiality. The «provenance» notes describe the type of evidence the engine cites with traceability in production. No Δ-CSI score is shown: composite cases have no frozen, reproducible scorecard.