Evidence map›Paper›PMID 42422368›Full record

ArticleJournal of industrial ecology2026

The climate cost of lateness: decomposing historical drivers of CO

Ángel Sanjuán-Ruiz, Juan Infante-Amate, Eduardo Aguilera

Abstract read
In one paragraph

Article in Journal of industrial ecology, 2026. 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

3 authors.

Ángel Sanjuán-RuizDepartment of Economics and Economic History, University of Seville, Seville, Spain.ORCID 0000-0003-1031-1219
Juan Infante-AmateDepartment of Economic Theory and History, University of Granada, Granada, Spain.ORCID 0000-0003-1446-7181
Eduardo AguileraInstitute of Economics, Geography and Demography, Spanish National Research Council (CSIC), Madrid, Spain.ORCID 0000-0003-4382-124X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industry accounts for ~ 34% of global CO₂ emissions, positioning it as the largest single contributor to anthropogenic climate change. Understanding the historical trajectory is essential for effective mitigation, yet most analyses are short-term and long-term studies rarely examine industry. This article reconstructs consistent long-run series of industrial CO₂ emissions in Spain from 1890 to 2021, disaggregated by source (direct, indirect, and process-related) and by sector. Combining newly harmonized historical energy accounts with decomposition techniques (IPAT and additive LMDI), we quantify the relative contribution of value added, energy intensity of production, carbon intensity of energy use, and structural change to industrial CO Supplementary Information: The online version contains supplementary material available at 10.1007/s44498-026-00077-1.

Indexed as

CO2 emissionsDecomposition analysisIndustrial ecologySectoral approachSpainTime series

Identifiers

PMID42422368
PMCPMC13342420

What OpenQuestion holds

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LicenceCC BY
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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.