Evidence map›Paper›PMID 33930083›Full record

ArticlePloS one2021

Greenhouse gas emissions intensity of food production systems and its determinants.

Aldona Mrówczyńska-Kamińska, Bartłomiej Bajan, Krzysztof Piotr Pawłowski, Natalia Genstwa, Jagoda Zmyślona

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. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Draft Genome Sequence ofPlants (Basel, Switzerland) · 2022
    Article
  11. Article
  12. Review
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.

Aldona Mrówczyńska-KamińskaFaculty of Economics, Department of Economics and Economic Policy in Agribusiness, Poznan University of Life Sciences, Poznań, Poland.
Bartłomiej BajanFaculty of Economics, Department of Economics and Economic Policy in Agribusiness, Poznan University of Life Sciences, Poznań, Poland.ORCID 0000-0003-1393-6580
Krzysztof Piotr PawłowskiFaculty of Economics, Department of Economics and Economic Policy in Agribusiness, Poznan University of Life Sciences, Poznań, Poland.ORCID 0000-0001-7194-4779
Natalia GenstwaFaculty of Economics, Department of Economics and Economic Policy in Agribusiness, Poznan University of Life Sciences, Poznań, Poland.
Jagoda ZmyślonaFaculty of Economics, Department of Economics and Economic Policy in Agribusiness, Poznan University of Life Sciences, Poznań, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is estimated that about 1/4th of all greenhouse gas (GHG) emissions may be caused by the global food system. Reducing the GHG emissions from food production is a major challenge in the context of the projected growth of the world's population, which is increasing demand for food. In this context, the goal should be to achieve the lowest possible emission intensity of the food production system, understood as the amount of GHG emissions per unit of output. The study aimed to calculate the emission intensity of food production systems and to specify its determinants based on a panel regression model for 14 countries, which accounted for more than 65% of food production in the world between 2000 and 2014. In this article, emission intensity is defined as the amount of GHG emissions per value of global output. Research on the determinants of GHG emissions related to food production is well documented in the literature; however, there is a lack of research on the determinants of the emission intensity ratio for food production. Hence, the original contribution of this paper is the analysis of the determinants of GHG emissions intensity of food production systems. The study found the decreased of emission intensity from an average of more than 0.68 kg of CO2 equivalent per USD 1 worth of food production global output in 2000 to less than 0.46 in 2014. The determinants of emission intensity decrease included the yield of cereals, the use of nitrogen fertilizers, the agriculture material intensity, the Human Development Index, and the share of fossil fuel energy consumption in total energy use. The determinants of growth of emission intensity of food production systems included GDP per capita, population density, nitrogen fertilizer production, utilized agriculture area, share of animal production, and energy use per capita.

Indexed as

Greenhouse EffectAgricultureAnimalsCarbon DioxideEnergy-Generating ResourcesFertilizersFood IndustryGreenhouse GasesHumansModels, TheoreticalCarbon DioxideFertilizersGreenhouse Gases

Identifiers

PMID33930083
PMCPMC8087086

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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.