Evidence map›Paper›PMID 40335544›Full record

ArticleScientific reports2025

Gender-based differences in eco-efficient farming.

Imre Fertő, Lajos Baráth, Štefan Bojnec

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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.

Imre FertőHUN-REN Centre for Economic and Regional Studies, Tóth K. u. 4, Budapest, 1112, Hungary.
Lajos BaráthHUN-REN Centre for Economic and Regional Studies, Tóth K. u. 4, Budapest, 1112, Hungary.
Štefan BojnecUniversity of Primorska, Izolska vrata 2, Koper, SI-6000, Slovenia. stefan.bojnec@fm-kp.si.

Funding

ARIS-Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije = Slovenian Research and Innovation Agency N5-0312Nemzeti Kutatási Fejlesztési és Innovációs Hivatal NKFI-1, Advanced-150850NKFIH-Nemzeti Kutatási Fejlesztési és Innovációs Hivatal = National Research Development and Innovation Office NKFI-1 142441
6 · The paper itself

Abstract

This study investigates gender-based differences in eco-efficiency among Hungarian field crop farms, using data from the Farm Accountancy Data Network between 2015 and 2020. Applying Data Envelopment Analysis and Blinder-Oaxaca decompositions, we reveal a consistent eco-efficiency advantage for women-headed farms, particularly at mid-quantiles of eco-efficiency distribution. This advantage is largely attributed to women's ability to optimize resource use effectively, though unexplained factors also contribute, suggesting potential differences in management practices. Results highlight that women-led farms often adopt eco-efficient practices that may contribute to sustainability goals. These findings highlight the need for policies that support women farmers' access to resources, knowledge, and innovation in eco-friendly farming practices, helping to enhance sustainability in agricultural production. Encouraging women participation in sustainable agricultural entrepreneurship could play a critical role in driving eco-efficiency across the crop sector, ultimately contributing to environmental resilience and rural socio-economic development.

Indexed as

AgricultureCrop ProductionFarmersConservation of Natural ResourcesCrops, AgriculturalFarmsFemaleHumansHungaryMaleSex FactorsAgricultural outputCrop farmsDecomposition modelsEco-efficiencyEnvironmental impactsEuropean unionGender

Identifiers

PMID40335544
PMCPMC12059167

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.