TBNPortugal
Measure the value we create, not just the money we spend
Publication: ECO
Author: Nuno Dantas Melo
Source published: 22/10/2026, 13:16:00 UTC
Briefing created: 23/10/2026, 01:24:31 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 22/10/2026, 13:26:23 UTC.
Briefings
The author argues that measuring public investment programs by their execution speed rather than the value they create is a critical oversight. Drawing from personal experience as an entrepreneur and current strategic consulting practice, the evidence highlights that while public funds like COMPETE 2030 move significant capital annually, there is little data on the actual economic value generated. The author cites a 2023 study estimating 6.13 euros of value added per euro of incentive, contrasting this with the lack of annual impact reporting. Key figures include a 550 million euro annual COMPETE 2030 budget, 504 million euros in private equity investment in 2023, and a 2021 EU Court of Auditors finding that performance-based funding remains non-existent.
Key points
- Public investment programs are evaluated primarily by execution speed rather than the value they create, leading to optimization of spending rather than economic growth.
- A 2023 study estimates 6.13 euros of value added per euro of incentive, contrasting with the lack of annual impact reporting for public funds.
Context
The author draws from personal experience as an entrepreneur and current strategic consulting practice to highlight a systemic issue in public funding evaluation. The context involves public funds like COMPETE 2030 moving significant capital annually, yet there is little data on the actual economic value generated, creating a gap between spending metrics and value creation metrics.
Limitations
The evidence relies on the author's personal experience and a single 2023 study, with no additional data on other public programs or long-term impact assessments. The 2021 EU Court of Auditors finding is cited as a general observation rather than specific data on current performance.
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