Cost and EU Public Procurement Law: Life-Cycle Costing for Sustainability
Bibliographic record
Abstract
Public institutions, companies and governments in the EU and around the world are increasingly engaging in sustainable public procurement – a broad concept that must consider the three pillars of economic equality, social welfare and public health and environmental responsibility when designing public tenders and finalizing government contracts.<br/><br/>This book contributes to the development of life-cycle criteria tools and methodologies for public procurement in the EU. It collects both sector-crossing contributions analysing the most relevant theoretical and legal aspects, including both EU law and contract theory, and sector-specific contributions relating to some of the most important sustainable goods and services markets. The book starts with a chapter that discusses the different approaches to including sustainability considerations in buying decisions by both private and public purchasers, and then goes on to examine the EU law on LCC and how it is implemented in different Member States. These chapters address the challenges in balancing economic and sustainability objectives under EU internal market law. One chapter develops the analysis with specific reference to public-private partnership.<br/><br/>Another chapter elaborates how multi-stakeholders’ cooperation is necessary to develop LCC, based on a case study of a lighting services procurement. Three sector-specific studies relating to social housing, textile and clothing and IT close the book.<br/><br/>With contributors from a range of backgrounds including law, business, management, engineering and policy development, this interdisciplinary book provides the first comprehensive study on LCC within the framework of EU public procurement law.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".