Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 322

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

What drives farmers’ participation in EU agri-environmental schemes?: Results from a qualitative meta-analysis

Lastra-Bravo, Xavier B., Hubbard, Carmen, Garrod, Guy, Tolón-Becerra, Alfredo·2015·Environmental Science & Policy

Abstract

A better understanding of why EU farmers choose to join agri-environmental schemes (AESs) is vital to help policy makers design programmes that would be more attractive to participants. This paper identifies the key factors influencing farmers’ participation in AESs through a qualitative meta-analysis of papers published in peer-reviewed journals between 2000 and 2013. A range of empirical studies that explored factors influencing farmers’ willingness to participate in such schemes were selected and systematically analysed. The meta-analysis reveals several key drivers for participation in AESs including fair payments, lower household dependency on agricultural incomes, age and education levels, the presence of a successor and the ability to make progressive rather than step changes to agricultural activities. Of particular importance is the finding that the design of agri-environmental policy is not the only relevant factor influencing uptake but other policies which impact on the farm household and the rural community can also encourage or discourage participation in an AES.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.envsci.2015.06.002

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Lastra-Bravo, X. B., Hubbard, C., Garrod, G., & Tolón-Becerra, A.
Venue
Environmental Science & Policy
Publisher
Elsevier BV
Published
2015-12
Volume
54
Pages
1-9
ISSN
1462-9011 (ISSN-L)
OpenAlex
W1580676463
Cited by
322
References
1
FWCI
63.05
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.