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Title:

Using Machine Learning to Identify Heterogeneous Impacts of Agri-Environment Schemes in the EU: A Case Study

Document type:
Zeitschriftenaufsatz
Author(s):
Stetter, Christian; Mennig, Philipp; Sauer, Johannes
Non-TUM Co-author(s):
nein
Cooperation:
-
Intellectual Contribution:
Discipline-based Research
Journal title:
European Review of Agricultural Economics
Journal listet in FT50 ranking:
nein
Year:
2022
Fulltext / DOI:
doi:10.1093/erae/jbab057
Publisher:
Oxford University Press (OUP)
E-ISSN:
0165-15871464-3618
Date of publication:
10.03.2022
Judgement review:
0
Key publication:
Ja
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
Commissioned:
not commissioned
Technology:
Nein
Interdisciplinarity:
Ja
Mission statement:
;
Ethics and Sustainability:
Ja
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