Evidence map›Paper›PMID 34879098›Full record

ArticlePloS one2021

Scaling behavior of public procurement activity.

António Curado, Bruno Damásio, Sara Encarnação, Cristian Candia, Flávio L Pinheiro

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

António CuradoNOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisboa, Portugal.
Bruno DamásioNOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisboa, Portugal.
Sara EncarnaçãoInterdisciplinary Centre of Social Sciences (CICS.NOVA), Faculty of Social Sciences and Humanities (FCSH/NOVA), Lisboa, Portugal.ORCID 0000-0001-8262-2927
Cristian CandiaData Science Institute, Facultad de Ingeniería, Universidad del Desarrollo, Las Condes, Chile.
Flávio L PinheiroNOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisboa, Portugal.ORCID 0000-0002-0561-9641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public procurement refers to the purchase by public sector entities-such as government departments or local authorities-of Services, Goods, or Works. It accounts for a significant share of OECD countries' expenditures. However, while governments are expected to execute them as efficiently as possible, there is a lack of methodologies for an adequate comparison of procurement activity between institutions at different scales, which represents a challenge for policymakers and academics. Here, we propose using methods borrowed from urban scaling laws literature to study public procurement activity among 278 Portuguese municipalities between 2011 and 2018. We find that public procurement expenditure scales sublinearly with population size, indicating an economy of scale for public spending as cities increase their population size. Moreover, when looking at the municipal Scale-Adjusted Indicators (the deviations from the scaling law) by contract categories-Works, Goods, and Services-we are able to identify a richer local characterisation of municipalities based on the similarity of procurement activity. These results make up a framework for quantitatively studying local public expenditure by enabling policymakers a more appropriate foundation for comparative analysis.

Indexed as

Financing, GovernmentPublic SectorCity PlanningHealth ExpendituresHumansPortugalUrbanization

Identifiers

PMID34879098
PMCPMC8654174

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.