Evidence map›Paper›PMID 42006635›Full record

ArticleJournal of industrial ecology2024

Spatial patterns of built structures co-determine nations' level of resource demand.

Juan Antonio Duro, Alejandro Perez-Laborda, Markus Löw, Sarah Matej, Barbara Plank, Fridolin Krausmann, Dominik Wiedenhofer, Helmut Haberl

Abstract read
In one paragraph

Article in Journal of industrial ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Juan Antonio DuroEconomics Department and Eco-SOS, Universitat Rovira i Virgili, Tarragona, Spain.ORCID https://orcid.org/0000-0002-1106-5251
Alejandro Perez-LabordaEconomics Department and Eco-SOS, Universitat Rovira i Virgili, Tarragona, Spain.ORCID https://orcid.org/0000-0003-4247-598X
Markus LöwInstitute of Social Ecology, University of Natural Resources and Life Sciences, Schottenfeldgasse 29, Vienna, 1070 Austria.
Sarah MatejInstitute of Social Ecology, University of Natural Resources and Life Sciences, Schottenfeldgasse 29, Vienna, 1070 Austria.ORCID https://orcid.org/0000-0003-4576-4189
Barbara PlankInstitute of Social Ecology, University of Natural Resources and Life Sciences, Schottenfeldgasse 29, Vienna, 1070 Austria.ORCID https://orcid.org/0000-0002-0306-3715
Fridolin KrausmannInstitute of Social Ecology, University of Natural Resources and Life Sciences, Schottenfeldgasse 29, Vienna, 1070 Austria.ORCID https://orcid.org/0000-0002-9995-2372
Dominik WiedenhoferInstitute of Social Ecology, University of Natural Resources and Life Sciences, Schottenfeldgasse 29, Vienna, 1070 Austria.ORCID https://orcid.org/0000-0001-7418-3477
Helmut HaberlInstitute of Social Ecology, University of Natural Resources and Life Sciences, Schottenfeldgasse 29, Vienna, 1070 Austria.ORCID https://orcid.org/0000-0003-2104-5446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Societies' use of material resources is increasingly recognized as a key factor behind sustainability problems. The mass of materials used per capita and year differs substantially between countries. However, a limited range of variables (mostly per-capita gross domestic product [GDP]) were analyzed to explain this variation. Spatial patterns of cities influence their resource use, but the role of patterns of settlements and infrastructures as co-determinants of national-level material use is unknown, mainly due to lacking data to investigate their effects at that scale. Here we start closing this gap by systematically analyzing a broad set of potential determinants of national per-capita material demand, including built structures. Material demand is represented by both production- and consumption-based indicators. Among its potential determinants, we analyze eight novel indicators representing extent and spatial patterns of settlements and transport infrastructures in each country, along with GDP and other indicators considered so far. Analyzing 123 countries inhabited by 91% of the world population and accounting for 92% of world GDP, we show that built structures strongly co-determine resource use. Indicators of extent and spatial patterns of built structures have substantial additional explanatory power beyond GDP and other conventional indicators for both production- and consumption-based material flow indicators. The area of built-up land per capita emerges as the strongest predictor, but several other indicators representing built structures are also highly relevant. Limiting built-up land and designing spatial patterns of built structures hence deserve attention in attempts to reduce societies' resource throughput. Supplementary Information: The online version of this article (doi:10.1111/jiec.13470) contains supplementary material, which is available to authorized users.

Indexed as

industrial ecologyinfrastructure patternsmaterial footprintmaterial stocksresource demandsettlement patterns

Identifiers

PMID42006635
PMCPMC13083449

What OpenQuestion holds

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LicenceCC BY-NC
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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.