Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

Sample checks within the common agricultural policy (CAP)

Through a set of rules based on chance, as well as on a risk assessment, determined which application (relationship) qualifies for an audit.

Last change on 14th of March 2025, at 13:53 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
Field not filled in.
Status
In use

General information

Theme

Economy

Begin date

2023-01

Contact information

Via contactformulier: https://www.rvo.nl/onderwerpen/contact/formulier

Responsible use

Goal and impact

We want to ensure that applicants spend the grant according to the conditions. We therefore check whether they actually carry out the subsidised activities. We do this specifically with a sample. This algorithm automatically selects the companies that have applied for a subsidy. The selected companies receive an administrative check or a company visit by, for example, NVWA.

Considerations

Checking a certain proportion of the money to be paid out is common and often mandatory. It is desirable to designate the companies to be selected by an automated system. This algorithm is created to eliminate human randomness.

Human intervention

The algorithm determines which farm/parcel/landscape element qualifies for a check. Setting out and carrying out the checks is done by an employee and partly outsourced to other services (NVWA/NEO).

Risk management

We apply the four-eye principle to every sample. Furthermore, we carry out standard quality checks. In addition, the sample population is checked by other departments. This checks whether the selection is still correct, whether different groups do not receive different treatment. There is also a check on correct disbursement.

Legal basis

CAP 2023 implementation scheme

National grants

EAGF:

Regulation (EU) No 2021/2116; 2021/2115; 2022/126; 2022/127; 1308/2013; 1144/2014; 2015/1829; 2015/1831

EAFRD:

Regulation (EU) No 1305/2013; 809/2014; 2021/2115

VIS:

EMFF: Regulation (EU) No 508/2014; 1303/2013

EMFAF: Regulation (EU) No 2021/1139; 2021/1060

National:

Regulation (EU) EZK and LNV subsidies 2021 (REES 2021).

Links to legal bases

  • Uitvoeringsregeling GLB 2023: https://wetten.overheid.nl/BWBR0047444/2024-11-06
  • Regeling Europese EZK- en LNV-subsidies 2021: https://wetten.overheid.nl/BWBR0045685/2024-10-30

Elaboration on impact assessments

We share personal data only with NVWA, agreements have been made about this in the Cooperation Agreement Data Supplies RVO-NVWA. We do not share personal data with other external companies.

Operations

Data

Application details of companies on the register of the Netherlands Enterprise Agency.

Technical design

From the compiled population, the algorithm assigns each application a random number. After this, based on the order of these random numbers, the algorithm determines whether the application is eligible for verification or not.

The algorithm is not self-learning.

RAND function of SAS is used. It is explained in the following place: https://go.documentation.sas.com/doc/en/pgmsascdc/default/lefunctionsref/p0fpeei0opypg8n1b06qe4r040lv.htm

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