Evidence map›Paper›PMID 41544167›Full record

ArticleScience advances2026

Unpacking the growth of global agricultural greenhouse gas emissions.

Ariel Ortiz-Bobea, Simone Pieralli

Abstract read
In one paragraph

Article in Science advances, 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

2 authors.

Ariel Ortiz-BobeaCharles H. Dyson School of Applied Economics and Management and Jeb E. Brooks School of Public Policy, Cornell University, Ithaca, NY, USA.ORCID 0000-0003-4482-6843
Simone PieralliEuropean Commission, Joint Research Centre (JRC), Seville, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agriculture, forestry, and other land use contribute about a fifth of total anthropogenic greenhouse gas (GHG) emissions. Mitigation efforts have emphasized "decoupling" that sustains production while lowering emissions per unit of output. However, the underlying decoupling mechanisms have not been fully characterized. We rely on a mathematical identity to decompose agricultural GHG emission growth ([Formula: see text]) into three parts: output ([Formula: see text]), emissions per unit of input ([Formula: see text]), and output per unit of input ([Formula: see text]) or total factor productivity (TFP). We then rely on official country-level data to quantify the historical contribution of these components. Over 1961 to 2021, we find that TFP growth-which captures the sector's ability to produce more output per unit of measured input-has consistently remained one of the main sources of GHG emission reduction within farms. Further decomposition reveals a key role for rising land productivity in reducing emission intensity.

Identifiers

PMID41544167
PMCPMC12810634

What OpenQuestion holds

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Registered trials

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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.