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Digital Simulation Interface
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Welcome to
PERCEIVE
Simulation Lab

What is it for?

Free simulation

A space where to test and play freely with PERCEIVE Simulation Lab.
Let's start

Target simulation

Try to obtain a specific result while playing with parameters.
Let's start

Keep in mind

You need more information about this simulation. Here's a quick recap.
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What is
important
to know

The PERCEIVE Simulation Lab

The "PERCEIVE Simulation Lab" is a computer model that simulates the implementation of cohesion policy under different assumptions developed in the context of the PERCEIVE project.

The purpose of this interface is to allow policy-makers, stakeholders and other users to play with the "PERCEIVE Simulation Lab" and investigate the dynamics of the European Cohesion Policy (CP) system and the major parameters that affect it. The model aims at portraying the manner in which the CP funds are distributed among regions and factors that could potentially influence absorption.

The system's multi-level nature (i.e. EU, regions, beneficiaries), dynamic behavior (i.e. over time) and complexity (i.e. multiple feedback loops) necessitated the use of System Dynamics modeling approach (please refer to PERCEIVE Deliverable 6.1 for more information about the methodology). A conceptual map of the system is provided for introducing users to the main cause-effect relations among the system's variables.

Absorption Rate Model diagram

The interface provides the users with the opportunity to play with the calibration of some of the 400 and more model's parameters within a range of values to investigate the long-term impact of different scenarios on CP funds' absorption. The "PERCEIVE Simulation Lab" allows users to set the calibration of parameters and explore dynamic patterns of CP funds' absorption by the means of graphical representation.

The selected parameters are not the only that affect the system, but they are considered as the critical ones. The ranges of the parameters' values are not considered as rigid limits, but they rather act as logical estimates that enable the users obtain meaningful results.

It should be noted that all future behaviours generated by the users constitute a speculation of the general trend of the absorption rate based on scenario analyses and not a forecast of specific future values based on real time series.

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Toggle graphs:
Absorption rate
Average calls fulfilment
Time performance rate
Funds committed
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First programming period
2000 - 2006
Traced/Simulated
Second programming period
2007 - 2013
Traced/Simulated
Third programming period
2014 - 2020
Traced/Simulated
Fourth programming period
2021 - 2027
Base simulation/Simulated
Ideal/Base simulation/Simulated
Pick a challenge:
Simulation 01
Simulation 02
Simulation 03
Simulation 04
Simulation 05
Toggle graphs:
Absorption rate
Average calls fulfilment
Time performance rate
Funds committed
21
22
23
24
25
26
27
28
29
30
31
32
How did we get to this absorption graph?
2021 - 2027
Expected result/Simulated
Ideal/Simulated

Average calls fulfilment

The ratio of the number of project applications over the average number of projects to be accepted (averaged for all calls), in which the average number of projects to be accepted is calculated dividing the value of a call by the average value of a project.

Time performance rate

The ratio of the total actual time needed to complete the steps in the funding process (prepare calls, evaluate applications, sign contracts, monitor once projects are completed and to refund them) over the reference (optimal) one.

Funds committed

The ratio of the amount of funds committed throughout the whole funding process (allocated in calls, those committed to projects under evaluation, approval, signature, execution, monitoring and waiting to be refunded and those refunded) over a desired amount of funds committed (theoretical value extrapolated from a good performance absorption).
Settings
Run
Reset
01 Beneficiaries' demand
Factors defining local beneficiaries' potential demand for Cohesion policy funding.
1/
Number of potential beneficiaries
Number of total beneficiaries in a region who could potentially submit an application.
None
400,000 Beneficiaries
2/
Number of intermediary consultancy companies
Average number of intermediary consultancy companies in a region that can inform and assist the beneficiaries in submitting an application.
None
500 Companies
3/
Beneficiary's interest in the call
Probability that a beneficiary is interested in submitting a project application to a call.
No interest
High interest
4/
Project application costs for the beneficiary
Costs per project application that a beneficiary should spend.
0 Euro
25.000 Euro
5/
Acceptable interest rate
Average interest rate at which potential beneficiaries are willing to borrow money for their EU funded projects.
0%
4%
6/
Percentage of risk-taking beneficiaries
Percentage of beneficiaries that take the risk of submitting and application and going through the EU funding process.
0%
100%
7/
Improvement of beneficiary staff skills per project completed
Improvement of the capacity of the skills of a beneficiary's staff per project completed.
No learning
High learning
8/
Effect of operational and legislative discontinuities on beneficiaries
Effect of operational and legislative discontinuities on beneficiary staff skills leaning.
No discontinuities
Many discontinuities
02 Funding pipeline
Main steps through which funds, calls and projects have to pass by.
1/
Delay due to national-EU partnership agreement
Delay due to the time neened for the national-EU partnership agreement.
0 Years
7 Years
2/
Duration of OP development by the LMA
Time that a local managing authority (LMA) needs to develop an operational plan (OP).
0 Years
7 Years
3/
Time for a LMA to prepare a call
Average time that a LMA needs to prepare a call.
0.1 Years
2 Years
4/
Time for a LMA to evaluate a project application
Average time that a LMA needs to evaluate a project application submitted by a beneficiary.
0.1 Years
2 Years
5/
Time for a beneficiary to carry out a project
Average time that a beneficiary needs to carry out and conclude a project.
0.1 Years
7 Years
03 External conditions
Exogenous conditions (outside system boundaries) which have an impact on the whole Cohesion Policy performance.
1/
OP quality
Quality of an OP in terms of covering the specific needs of region.
Zero quality
High quality
2/
Percentage of OP quality deterioration
Percentage of reduction of the quality of an OP relatively to the scpecific needs of a region.
0%
100%
3/
Changing time for OP quality deterioration
Point in time in which the deterioration of the quality of an OP occurs relatively to a potential change of the specific needs of a region.
2021
2033
4/
Political stability and efficiency
Stability and efficiency of the political system in terms of ability to provide directions and bureaucratic support to the LMAs for developing the calls.
Low efficiency
High efficiency
5/
Starting time for political instability
Point in time in which the instability of the political system starts.
2021
2033
6/
Stopping time for political instability
Point in time in which the instability of the political stability ends.
2021
2033
7/
Starting time for LMA management instability
Point in time in which the instability of the LMA management starts.
2021
2033
8/
Stopping time for LMA management instability
Point in time in which the instability of the LMA management ends.
2021
2033
04 LMA efficiency
Variables affecting the LMA administrative capacity and thus determining its efficiency in terms of performance.
1/
Productivity of a LMA skilled staff members
Average number of projects that a skilled member of a LMA's staff can handle.
10 Projects
300 Projects
2/
Variation of LMA staff number
Sudden exogenous variation of the number of a LMA's staff.
30 Employees less
30 Employees more
3/
Changing time for LMA staff number
Point in time in which the number of a LMA's staff changes.
2021
2033
4/
Percentage of LMA missing staff hired
Percentage of new staff that is needed and hired by a LMA per year.
0%
50%
5/
Capacity of LMA staff equipment
Capacity of the equipment available to a LMA's staff that can support them in handling calls and projects.
Low capacity
High capacity
6/
Improvement of LMA staff skills per project completed
Improvement of the capacity of the skills of a LMA's staff per project completed.
No improvement
High improvement
7/
Effect of operational and legislative discontinuities on LMAs
Effect of operational and legislative discontinuities on LMA staff skills leaning.
No discontinuities
Many discontinuities
05 LMA management policies
Solutions to the Cohesion Policy system's challenges in a region that constitute the actions and interventions of a LMA to improve absorption performance.
1/
Acceptable absorption gap before launching automatic policies
Acceptable absorption gap (between the real and an ideal one) before launching automatically the Calls' increase and Communication increase LMA policies.
1%
100%
2/
Switch for increasing call scope
Switch for launching the Call scope increase LMA policy.
OFF
ON
3/
Magnitude of call scope extension
Magnitude of the call scope extension in order to attract more potential beneficiaries.
No widening
High widening
4/
Switch for lowering accepted projects' standards
Switch for launcing the Application quality standards decrease LMA policy.
OFF
ON
5/
Switch for accepting retrospective projects
Switch for launcing the Retrospective projects acceptance LMA policy.
OFF
ON
6/
Number of potential retrospective projects
Average number of potential retrospective projects.
None
3,000 Projects
7/
Variation of OP co-finance percentage
Change of the co-finance percentage by which a LMA contributes to the funding.
-50%
50%
8/
Changing time for OP co-finance percentage
Point in time that the change of the co-finance percentage occurs
2021
2033