Evidence map›Paper›PMID 34694556›Full record

ArticleEnvironmental science and pollution research international2022

What drives low-carbon agriculture? The experience of farms from the Wielkopolska region in Poland.

Michał Borychowski, Aleksander Grzelak, Łukasz Popławski

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Michał BorychowskiDepartment of Macroeconomics and Agricultural Economics, Poznań University of Economics and Business, 61-875, Poznań, Poland. michal.borychowski@ue.poznan.pl.ORCID http://orcid.org/0000-0001-6256-2680
Aleksander GrzelakDepartment of Macroeconomics and Agricultural Economics, Poznań University of Economics and Business, 61-875, Poznań, Poland.ORCID http://orcid.org/0000-0002-4290-4740
Łukasz PopławskiDepartment of Public Finance, Cracow University of Economics, Kraków, Poland.ORCID http://orcid.org/0000-0002-4147-3272

Funding

Narodowe Centrum Nauki 2018/29/B/HS4/01844
6 · The paper itself

Abstract

Because of global environmental problems, low-carbon agriculture has gained increasing importance both in developed and developing countries. Hence, there is a need to find ways to develop more efficient agricultural systems. The purpose of this article is to identify the drivers of low-carbon agriculture on farms in the Wielkopolska region (in Poland). We aimed to take an original approach to investigate low-carbon agriculture with a unique set of different economic and environmental variables and contribute to the literature, which is not very extensive in terms of microeconomic research, including research on farmers in the Wielkopolska region. Therefore, we employed a multiple-factor measurement model for structural equation modeling (SEM) of data collected individually from 120 farms in 2020. As a result, we formulated the following conclusions: the increasing productivity of factors (land, labor, and capital) have a positive effect on low-carbon farming, just as increasing fertilizer and energy efficiency. Moreover, thermal insulation is also important for low-carbon agriculture, with efficiency of fertilizer use being the most important factor. We believe that the issues of farm use of fertilizers and thermal insulation of buildings should be more broadly included in energy policy, both at the national and the European Union (EU) levels. Some of these factors however are already present in the common agricultural policy (CAP) for 2021-2027.

Indexed as

AgricultureCarbonFarmsPolandPublic PolicyCarbonAgricultural efficiencyEnergyFertilizersLow-carbon agricultureProductivityStructural equation modeling (SEM)The Wielkopolska region

Identifiers

PMID34694556
PMCPMC8882097

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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.