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A harmonized and spatially explicit dataset from 16 million payments from the European Union's Common Agricultural Policy for 2015

Nicholas, Kimberly A. LU orcid ; Villemoes, Frida ; Lehsten, Edmund Aristid ; Brady, Mark V. LU orcid and Scown, Murray W. LU (2021) In Patterns 2(4).
Abstract

The Common Agricultural Policy (CAP) is the largest budget item in the European Union, but varied data reporting hampers holistic analysis. Here we have assembled the first dataset to our knowledge to report individual CAP payments by standardized CAP funding measures and geolocation. We created this dataset by translating, geolocating to the county or province (NUTS3) level, and consistently harmonizing payment measures for over 16 million payments from 2015, originally reported by EU member states and compiled by the Open Knowledge Foundation Germany. This dataset and code allow in-depth analysis of over €60 billion in public spending by purpose and location for the first time, which enables both individual payment tracing and... (More)

The Common Agricultural Policy (CAP) is the largest budget item in the European Union, but varied data reporting hampers holistic analysis. Here we have assembled the first dataset to our knowledge to report individual CAP payments by standardized CAP funding measures and geolocation. We created this dataset by translating, geolocating to the county or province (NUTS3) level, and consistently harmonizing payment measures for over 16 million payments from 2015, originally reported by EU member states and compiled by the Open Knowledge Foundation Germany. This dataset and code allow in-depth analysis of over €60 billion in public spending by purpose and location for the first time, which enables both individual payment tracing and analysis by aggregation. These data are representative of the distribution of annual CAP payments from 2014 to 2020 and are of interest to researchers, policy makers, non-governmental organizations, and journalists for evaluating the distribution and impacts of CAP spending.

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Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
agricultural subsidies, biodiversity, DSML 3: Development/Pre-production: Data science output has been rolled out/validated across multiple domains/problems, farm payments, greenhouse gas emissions, income inequality, income support, public spending, rural development, sustainable agriculture, transparency
in
Patterns
volume
2
issue
4
article number
100236
publisher
Cell Press
external identifiers
  • scopus:85104119737
  • pmid:33982026
ISSN
2666-3899
DOI
10.1016/j.patter.2021.100236
project
Sustainable Land and Food Systems
language
English
LU publication?
yes
id
06474057-9acb-42bf-8358-3826cd8a5cc2
date added to LUP
2021-04-26 09:45:34
date last changed
2024-06-15 10:29:45
@article{06474057-9acb-42bf-8358-3826cd8a5cc2,
  abstract     = {{<p>The Common Agricultural Policy (CAP) is the largest budget item in the European Union, but varied data reporting hampers holistic analysis. Here we have assembled the first dataset to our knowledge to report individual CAP payments by standardized CAP funding measures and geolocation. We created this dataset by translating, geolocating to the county or province (NUTS3) level, and consistently harmonizing payment measures for over 16 million payments from 2015, originally reported by EU member states and compiled by the Open Knowledge Foundation Germany. This dataset and code allow in-depth analysis of over €60 billion in public spending by purpose and location for the first time, which enables both individual payment tracing and analysis by aggregation. These data are representative of the distribution of annual CAP payments from 2014 to 2020 and are of interest to researchers, policy makers, non-governmental organizations, and journalists for evaluating the distribution and impacts of CAP spending.</p>}},
  author       = {{Nicholas, Kimberly A. and Villemoes, Frida and Lehsten, Edmund Aristid and Brady, Mark V. and Scown, Murray W.}},
  issn         = {{2666-3899}},
  keywords     = {{agricultural subsidies; biodiversity; DSML 3: Development/Pre-production: Data science output has been rolled out/validated across multiple domains/problems; farm payments; greenhouse gas emissions; income inequality; income support; public spending; rural development; sustainable agriculture; transparency}},
  language     = {{eng}},
  number       = {{4}},
  publisher    = {{Cell Press}},
  series       = {{Patterns}},
  title        = {{A harmonized and spatially explicit dataset from 16 million payments from the European Union's Common Agricultural Policy for 2015}},
  url          = {{http://dx.doi.org/10.1016/j.patter.2021.100236}},
  doi          = {{10.1016/j.patter.2021.100236}},
  volume       = {{2}},
  year         = {{2021}},
}