TR 22 Resume

Introduction

Nous utilisons le registre de transparence de l’Union Européenne pour observer les caractéristiques des groupes d’intérêts qui interviennent auprès de la Commissions Européennes, et en particulier pour observer les différences entre les groupes qui sont dans des groupes d’intérêts et ceux qui ne le sont pas.

Data

Commençons tout d’abord par détailler les données :

Nous nous appuyons sur les données publiées par l’Union Européenne à cette adresse : https://data.europa.eu/data/datasets/transparency-register?locale=en
On choisit de travailler sur les données de janvier 2022, car le format des données change à partir de ce point, et que certaines informations sont (encore) moins bien remplies, en particulier ce qui concerne les budgets, qui sont renseignés à la fois comme des chiffre bruts et à la fois commet des intervalles dans la même colonne et sont donc difficilement exploitables à partir de juin 2022.
On utilise aussi en parallèle les données nettoyées par LobbyFacts, qui permet de nettoyer des informations sur le nombre de temps pleins et sur les budgets : https://www.lobbyfacts.eu/


Attachement du package : 'dplyr'

Les objets suivants sont masqués depuis 'package:stats':

    filter, lag

Les objets suivants sont masqués depuis 'package:base':

    intersect, setdiff, setequal, union

On créé une variable score basée sur le dernier quantile des variables quantitatives, et la présence de la modalité pour les variables dichtomiques :

Nombre d’ETP
Nombre de personne accrédité au PE
Nombre de RDV avec la CE
Nombre d’OPC
Nombre de ROADMAPS
Bureau à Bruxelles
A eu une bourse de l’UE

Tableau Récapitulatif des principales variables

Characteristic	Academic institutions N = 365¹	Associations and networks of public authorities N = 9¹	Companies & groups N = 2,907¹	Entities, offices or networks established by third countries N = 1¹	Law firms N = 94¹	Non-governmental organisations, platforms and networks and similar N = 3,527¹	Organisations representing churches and religious communities N = 55¹	Other organisations N = 329¹	Other organisations, public or mixed entities N = 14¹	Other public or mixed entities, created by law whose purpose is to act in the public interest N = 276¹	Other sub-national public authorities N = 91¹	Professional consultancies N = 580¹	Regional structures N = 110¹	Self-employed individuals N = 229¹	Think tanks and research institutions N = 601¹	Trade and business associations N = 2,714¹	Trade unions and professional associations N = 990¹	Transnational associations and networks of public regional or other subnational authorities N = 73¹	Overall N = 12,965¹
Ressources par catégorie
En 2022 - Pourcentage ligne
Number.of.persons.involved:	3.0 (1.0, 6.0) - max = 65.0)	4.0 (2.0, 7.0) - max = 16.0)	2.0 (1.0, 4.0) - max = 72.0)	4.0 (4.0, 4.0) - max = 4.0)	2.0 (1.0, 4.0) - max = 26.0)	2.0 (1.0, 5.0) - max = 80.0)	3.0 (1.0, 4.0) - max = 21.0)	2.0 (1.0, 3.0) - max = 36.0)	2.5 (1.0, 12.0) - max = 46.0)	3.0 (1.0, 5.0) - max = 54.0)	3.0 (1.0, 6.0) - max = 32.0)	2.0 (1.0, 5.0) - max = 58.0)	3.0 (2.0, 6.0) - max = 26.0)	1.0 (1.0, 1.0) - max = 11.0)	3.0 (2.0, 7.0) - max = 51.0)	2.0 (1.0, 4.0) - max = 115.0)	2.0 (1.0, 4.0) - max = 28.0)	4.0 (1.0, 7.0) - max = 38.0)	2.0 (1.0, 4.0) - max = 115.0)
Members.FTE	1.00 (0.50, 2.50) - max = 46.00)	2.00 (1.00, 7.00) - max = 15.00)	0.75 (0.25, 1.75) - max = 54.50)	4.00 (4.00, 4.00) - max = 4.00)	1.00 (0.50, 2.00) - max = 13.00)	1.00 (0.50, 2.50) - max = 43.00)	1.00 (0.75, 2.50) - max = 16.00)	0.75 (0.25, 1.75) - max = 32.00)	1.50 (0.25, 6.00) - max = 23.00)	1.00 (0.50, 2.50) - max = 39.00)	1.50 (0.50, 5.00) - max = 19.00)	1.00 (0.50, 3.00) - max = 48.50)	2.00 (0.75, 3.50) - max = 21.50)	0.75 (0.25, 1.00) - max = 6.00)	1.50 (0.50, 4.00) - max = 37.00)	1.00 (0.50, 2.00) - max = 41.75)	0.75 (0.25, 1.75) - max = 23.25)	2.00 (0.75, 4.00) - max = 38.00)	1.00 (0.50, 2.00) - max = 54.50)
Number.of.EP.accredited.persons	1.00 (1.00, 1.00) - max = 2.00)	NA (NA, NA) - max = NA)	2.00 (1.00, 4.00) - max = 11.00)	NA (NA, NA) - max = NA)	3.00 (1.00, 5.00) - max = 6.00)	1.00 (1.00, 2.00) - max = 9.00)	1.00 (1.00, 3.00) - max = 8.00)	2.00 (1.00, 3.00) - max = 12.00)	8.00 (8.00, 8.00) - max = 8.00)	1.00 (1.00, 1.50) - max = 2.00)	1.00 (1.00, 1.00) - max = 1.00)	3.00 (1.00, 5.00) - max = 23.00)	1.00 (1.00, 1.00) - max = 1.00)	1.00 (1.00, 1.00) - max = 1.00)	1.50 (1.00, 2.00) - max = 5.00)	2.00 (1.00, 4.00) - max = 20.00)	2.00 (1.00, 3.00) - max = 13.00)	2.00 (2.00, 2.00) - max = 2.00)	2.00 (1.00, 4.00) - max = 23.00)
Unknown	359	9	2,748	1	87	3,422	47	316	13	268	89	514	109	212	583	2,541	958	72	12,348
Bruxel
0	321 (3.3%)	8 (<0.1%)	2,414 (25%)	0 (0%)	47 (0.5%)	2,647 (28%)	22 (0.2%)	241 (2.5%)	14 (0.1%)	223 (2.3%)	56 (0.6%)	342 (3.6%)	63 (0.7%)	176 (1.8%)	465 (4.8%)	1,757 (18%)	746 (7.8%)	49 (0.5%)	9,591 (100%)
1	44 (1.3%)	1 (<0.1%)	493 (15%)	1 (<0.1%)	47 (1.4%)	880 (26%)	33 (1.0%)	88 (2.6%)	0 (0%)	53 (1.6%)	35 (1.0%)	238 (7.1%)	47 (1.4%)	53 (1.6%)	136 (4.0%)	957 (28%)	244 (7.2%)	24 (0.7%)	3,374 (100%)
In_intergroup
0	315 (2.9%)	9 (<0.1%)	2,436 (23%)	1 (<0.1%)	90 (0.8%)	2,758 (26%)	30 (0.3%)	286 (2.7%)	14 (0.1%)	236 (2.2%)	75 (0.7%)	501 (4.7%)	90 (0.8%)	178 (1.7%)	510 (4.8%)	2,283 (21%)	827 (7.7%)	55 (0.5%)	10,694 (100%)
1	50 (2.2%)	0 (0%)	471 (21%)	0 (0%)	4 (0.2%)	769 (34%)	25 (1.1%)	43 (1.9%)	0 (0%)	40 (1.8%)	16 (0.7%)	79 (3.5%)	20 (0.9%)	51 (2.2%)	91 (4.0%)	431 (19%)	163 (7.2%)	18 (0.8%)	2,271 (100%)
Has_EP_access
0	359 (2.9%)	9 (<0.1%)	2,748 (22%)	1 (<0.1%)	87 (0.7%)	3,422 (28%)	47 (0.4%)	316 (2.6%)	13 (0.1%)	268 (2.2%)	89 (0.7%)	514 (4.2%)	109 (0.9%)	212 (1.7%)	583 (4.7%)	2,541 (21%)	958 (7.8%)	72 (0.6%)	12,348 (100%)
1	6 (1.0%)	0 (0%)	159 (26%)	0 (0%)	7 (1.1%)	105 (17%)	8 (1.3%)	13 (2.1%)	1 (0.2%)	8 (1.3%)	2 (0.3%)	66 (11%)	1 (0.2%)	17 (2.8%)	18 (2.9%)	173 (28%)	32 (5.2%)	1 (0.2%)	617 (100%)
Has_EU_grant
0	116 (1.1%)	9 (<0.1%)	2,392 (23%)	1 (<0.1%)	91 (0.9%)	2,503 (24%)	51 (0.5%)	275 (2.7%)	14 (0.1%)	172 (1.7%)	54 (0.5%)	536 (5.2%)	77 (0.8%)	223 (2.2%)	360 (3.5%)	2,455 (24%)	897 (8.7%)	36 (0.4%)	10,262 (100%)
1	249 (9.2%)	0 (0%)	515 (19%)	0 (0%)	3 (0.1%)	1,024 (38%)	4 (0.1%)	54 (2.0%)	0 (0%)	104 (3.8%)	37 (1.4%)	44 (1.6%)	33 (1.2%)	6 (0.2%)	241 (8.9%)	259 (9.6%)	93 (3.4%)	37 (1.4%)	2,703 (100%)
In_Expert_groups
0	299 (2.8%)	8 (<0.1%)	2,497 (23%)	1 (<0.1%)	86 (0.8%)	2,933 (27%)	54 (0.5%)	284 (2.6%)	12 (0.1%)	233 (2.2%)	85 (0.8%)	550 (5.1%)	99 (0.9%)	222 (2.1%)	506 (4.7%)	2,036 (19%)	807 (7.5%)	56 (0.5%)	10,768 (100%)
1	66 (3.0%)	1 (<0.1%)	410 (19%)	0 (0%)	8 (0.4%)	594 (27%)	1 (<0.1%)	45 (2.0%)	2 (<0.1%)	43 (2.0%)	6 (0.3%)	30 (1.4%)	11 (0.5%)	7 (0.3%)	95 (4.3%)	678 (31%)	183 (8.3%)	17 (0.8%)	2,197 (100%)
Nb_Expert_groups	1 (1, 1) - max = 3)	1 (1, 1) - max = 1)	1 (1, 1) - max = 7)	NA (NA, NA) - max = NA)	1 (1, 2) - max = 2)	1 (1, 2) - max = 38)	1 (1, 1) - max = 1)	1 (1, 2) - max = 27)	1 (1, 1) - max = 1)	1 (1, 1) - max = 5)	1 (1, 1) - max = 5)	1 (1, 1) - max = 1)	1 (1, 3) - max = 4)	1 (1, 1) - max = 1)	1 (1, 1) - max = 8)	1 (1, 3) - max = 46)	2 (1, 3) - max = 25)	2 (1, 3) - max = 4)	1 (1, 2) - max = 46)
Unknown	299	8	2,497	1	86	2,933	54	284	12	233	85	550	99	222	506	2,036	807	56	10,768
¹ Median (Q1, Q3) - max = 100% Centile) ; n (%)

I. Description des organisations

Characteristic	N = 12,965¹
Type d'organisation
Dans le registre de transparence de 2022
Subsection
Academic institutions	365 (2.8%)
Associations and networks of public authorities	9 (<0.1%)
Companies & groups	2,907 (22%)
Entities, offices or networks established by third countries	1 (<0.1%)
Law firms	94 (0.7%)
Non-governmental organisations, platforms and networks and similar	3,527 (27%)
Organisations representing churches and religious communities	55 (0.4%)
Other organisations	329 (2.5%)
Other organisations, public or mixed entities	14 (0.1%)
Other public or mixed entities, created by law whose purpose is to act in the public interest	276 (2.1%)
Other sub-national public authorities	91 (0.7%)
Professional consultancies	580 (4.5%)
Regional structures	110 (0.8%)
Self-employed individuals	229 (1.8%)
Think tanks and research institutions	601 (4.6%)
Trade and business associations	2,714 (21%)
Trade unions and professional associations	990 (7.6%)
Transnational associations and networks of public regional or other subnational authorities	73 (0.6%)
¹ n (%)

ETP

Warning: Removed 12 rows containing non-finite outside the scale range
(`stat_bin()`).

   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%  100% 
 0.00  0.25  0.25  0.50  0.75  1.00  1.25  1.75  2.50  4.50 54.50

ETP en fonction des groupes d’expert

Le chargement a nécessité le package : grid

   (0,1]    (1,2]    (2,5]   (5,10] (10,100]     NA's 
    7481     2302     2110      707      353       12

Characteristic	0 N = 10,768¹	1 N = 2,197¹
FTE_RECO
(0,1]	6,543 (61%)	938 (43%)
(1,2]	1,856 (17%)	446 (20%)
(2,5]	1,594 (15%)	516 (24%)
(5,10]	519 (4.8%)	188 (8.6%)
(10,100]	247 (2.3%)	106 (4.8%)
Unknown	9	3
¹ n (%)

[1] 6.245775e-61

Bruxelles

Characteristic	N = 12,965¹
Bruxel
0	9,591 (74%)
1	3,374 (26%)
¹ n (%)

Bruxelles en fonction des groupes d’experts

Characteristic	0 N = 10,768¹	1 N = 2,197¹
Bruxel
0	8,355 (78%)	1,236 (56%)
1	2,413 (22%)	961 (44%)
¹ n (%)

[1] 1.452468e-95

                         TR22Full$Bruxel
TR22Full$In_Expert_groups         0         1
                        0  20.76852 -20.76852
                        1 -20.76852  20.76852

                  OR  2.5 % 97.5 %         p    
Fisher's test 2.6921 2.4430 2.9655 < 2.2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

L’Odds ratio nous permet de lire que si on ne s’intéresse qu’à la participation à des groupes d’expert et à la présence de bureau à Bruxelles, on a 3,5 plus de chance de participer à un GE si l’on est à Bruxelles.

Resized limits to included dashed line in forest panel

`height` was translated to `width`.

Budget

   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
      0    9999   37500  159882  150000 9875000       6

     0%     30%     40%     50%     60%     70%     80%     90%    100% 
      0    9999   17500   37500   75000  150000  150000  450000 9875000

Budgets en fonction des groupes d’experts

Warning: Removed 6 rows containing non-finite outside the scale range
(`stat_boxplot()`).

$`0`
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
      0    9999   37500  134567  150000 7125000       4 

$`1`
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
      0   17500   75000  284022  350000 9875000       2


    Welch Two Sample t-test

data:  Lobbying.cost by In_Expert_groups
t = -11.169, df = 2456.9, p-value < 2.2e-16
alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
95 percent confidence interval:
 -175694.7 -123213.7
sample estimates:
mean in group 0 mean in group 1 
       134567.3        284021.5

Name	Lobbying.cost
European Centre for Development Policy Management (ECDPM)	7125000
FTI Consulting Belgium	6875000
Fleishman-Hillard	6875000
Interel European Affairs	6625000
Burson Cohn & Wolfe Sprl (BCW)	6375000
Sieć Badawcza Łukasiewicz - Instytut Logistyki i Magazynowania (Ł-ILiM)	6125000
Google	5875000
Microsoft Corporation	5375000
Bruegel	5125000
Association for Financial Markets in Europe (AFME)	5125000
Kreab	4875000
Bayer AG	4375000
EUTOP Europe GmbH (EUTOP)	4125000
Friends of Europe (FoE)	3875000
Trinomics B.V.	3875000
BP p.l.c. (bp)	3625000
Brunswick Group LLP	3625000
Apple Inc.	3625000
IBON International Foundation, Inc.	3625000
Malta Communications Authority (MCA)	3375000
Stichting Dutch Green Building Council	3375000
Consorzio per il Centro Interuniversitario di Biologia Marina ed Ecologia Applicata G. Bacci (CIBM)	3375000
FIPRA International SRL (FIPRA)	3125000
Teneo Brussels	3125000
SESAR Deployment Alliance (SDA)	3125000
The Brookings Institution	2625000
European Policy Centre (EPC)	2625000
Malaysian Employers Federation (MEF)	2375000
Weber Shandwick	2375000
Novartis International AG	2375000
International Swaps and Derivatives Association (ISDA)	2375000
Acumen Public Affairs	2375000
Centro Tecnológico del Mar - Fundación CETMAR (CETMAR)	2375000
Grayling	2375000
EUREKA Association AISBL (EUREKA)	2125000
Rud Pedersen Public Affairs Brussels (Rud Pedersen PA)	2125000
GUBERNA (GUBERNA)	2125000
Equinor ASA (EQNR)	2125000
ELECTRICITE DE FRANCE (EDF)	2125000
ENGIE (ENGIE)	2125000
TotalEnergies SE	2125000
British American Tobacco (BAT)	2125000
Finance Denmark (FIDA)	1875000
The Applied Research Institute - Jerusalem (ARIJ)	1875000
Deutsche Bank AG (DB)	1875000
ZN	1875000
logos public affairs (logos)	1875000
Vodafone Belgium SA (VBSA)	1875000
City of London Corporation (CoLC)	1875000
Associazione Bancaria Italiana (ABI)	1875000
Scotland Europa	1875000
Klaipėdos turizmo mokykla (KTM)	1875000
Johnson & Johnson (J&J)	1625000
Chevron Belgium BV (Chevron)	1625000
Finsbury Glover Hering Europe GmbH (FGH)	1625000
Organización Mundial de Ciudades y Gobiernos Locales Unidos - United Cities and Local Governments (UCLG)	1625000
South Denmark European office (SDEO)	1625000
FUNDACION CLUSTER AUTOMOCIÓN DE GALICIA CEAGA (CEAGA)	1625000
Incisive Health	1625000
PESQUERIAS ISLA MAYOR SL (PIMSA)	1625000
European Mortgage Federation - European Covered Bond Council (EMF-ECBC)	1625000
Syngenta Crop Protection AG	1625000
Rupprecht Consult - Forschung & Beratung GmbH (Rupprecht)	1625000
German Development Institute / Deutsches Institut für Entwicklungspolitik (DIE) (DIE)	1625000
Landmark Public Policy Advisers Europe Ltd (Landmark)	1625000
Hanover Communications International	1625000
Kon. BLN-Schuttevaer (BLN)	1625000
Centre for European Reform (CER)	1625000
Bundesverband der Deutschen Volksbanken und Raiffeisenbanken (BVR)	1625000
Pen & Tec Consulting SLU (Pen & Tec Consulting)	1625000
Inserm Transfert (IT)	1375000
King Baudouin Foundation (KBF)	1375000
Hume Brophy (HB)	1375000
Związek Gmin i Powiatów Subregionu Centralnego Województwa Śląskiego (ZGiPSCWSL)	1375000
Eni S.p.A.	1375000
Porter Novelli NV	1375000
General Electric Company (GE)	1375000
Pfizer Inc. (PFE)	1375000
Cisco Systems Inc. (Cisco)	1375000
Managed Funds Association (MFA)	1375000
Bank of America Corporation	1375000
Plastic Soup Foundation	1375000
The Investment Association (IA)	1375000
PahlConsulting, Lda (PAHL)	1375000
F. Hoffmann-La Roche Ltd (Roche)	1375000
NOVE (NOVE)	1375000
Transparency International (TI)	1375000
Asociación Empresarial de Investigación Centro Tecnológico del Mármol, Piedra y Materiales (CTM)	1375000
Political Intelligence (PI)	1375000
Barclays PLC	1375000
HSBC Holdings PLC (HSBC)	1375000
Stiftung Ordnungspolitik - Centrum für Europäische Politik (CEP)	1375000
UBS Group AG (UBS)	1125000
Energiasalv Pakri OÜ (Energiasalv)	1125000
The Pew Charitable Trusts (Pew)	1125000
British Council (BC)	1125000
NATIXIS	1125000
Observatoire social européen, asbl (OSE)	1125000
Suomen Ylioppilaskuntien Liitto SYL ry (SYL)	1125000
AtlasInvest Holding	1125000
Greater Copenhagen EU Office (GCPHEU)	1125000
Danish Foundation for Entrepreneurship (FFE)	1125000
European Health Forum Gastein (EHFG)	1125000
University College London (UCL)	1125000
Finnish Energy - Energiateollisuus ry (ET)	1125000
INOVYN ChlorVinyls	1125000
Wemos Foundation (Wemos)	1125000
kENUP Foundation (kENUP)	1125000
Covington & Burling LLP (Covington)	1125000
Dipartimento di Epidemiologia (DEASL)	1125000
Institut für Weltwirtschaft (Ifw)	1125000
Association of British Insurers (ABI)	1125000
Buurtsuper.be, de UNIZO organisatie van zelfstandige supermarkten	1125000
Shungham Information (FiscalNote Europe)	1125000
Agrární komora České republiky (AK ČR)	1125000
Caritas Europa (Caritas Europa)	1125000
Association of European Border Regions (AEBR-AGEG-ARFE)	1125000
GlaxoSmithKline (GSK)	1125000
DIRECCIÓN DE ENERGÍA (COMISIÓN NACIONAL DE LOS MERCADOS Y LA COMPETENCIA) (CNMC)	1125000
AT&T, Inc. (AT&T)	1125000
Avisa Partners	1125000
The Coca-Cola Company (Coca-Cola (NYSE: KO))	1125000
Invest Europe (Invest Europe)	1125000
Associazione Intermediari Mercati Finanziari - ASSOSIM (Assosim)	1125000
PROVACUNO	1125000
Hill & Knowlton International Belgium (H+K)	1125000
Elettra - Sincrotrone Trieste S.C.p.A. (Elettra)	1125000
Credit Suisse Group AG (CSAG)	1125000
Association Française des Entreprises Privées / French Association of Large Companies (AFEP)	1125000
Samsung Electronics Europe	1125000
The Chemours Company (Chemours)	1125000
Stichting De Noordzee (SDN)	1125000
OrangeGas (OG)	1125000
EVONIK INDUSTRIES AG	1125000
Cooperatie Kottervisserij Nederland (VisNed) (VisNed)	1125000
Foie gras du Sud-Ouest (Palso)	1125000
Buildings Performance Institute Europe, BPIE ASBL (BPIE)	1125000
IFPI Representing recording industry worldwide (I.F.P.I.)	1125000
SAP	1125000
Instinctif Partners	1125000
Organisation de Producteurs "FROM Nord" (FROM Nord)	1125000
Svensk Försäkring	1125000
Dods Group PLC	1125000
Federazione tra le associazioni confederate del comparto energia (ConfindustriaEnergia)	1125000
Dompé farmaceutici spa	1125000
FERROVIAL CONSTRUCCION S.A. (FERROVIAL)	1125000
G Plus Ltd (t/a Portland) (Portland)	1125000
TS Corporation Srl (TSCorp)	1125000
The Lisbon Council for Economic Competitiveness and Social Renewal asbl (The Lisbon Council)	1125000
Liberty Global BV (Liberty Global)	1125000
Deutsche Telekom (DT)	1125000
Belgian Feed Association (BFA)	1125000
Third Generation Environmentalism Ltd (E3G)	1125000
Federbeton	1125000
European Association for Quality Assurance in Higher Education (ENQA)	1125000
Takeda Pharmaceuticals International GmbH (TPI Zurich)	1125000
Modint, Dutch Trade Association for Fashion, Textiles and Carpets (Modint)	1125000
Institut de Recherche pour le Développement (IRD)	1125000
Stichting Solidaridad Nederland (Solidaridad)	1125000
ENERGA-OPERATOR SA (EOP)	1125000
TYVAK INTERNATIONAL SRL (TYVAK INTERNATIONAL)	1125000
LVMH Publica (LVMH Publica)	1125000
Council of European Energy Regulators (CEER)	1125000
Jesuit Refugee Service - Europe (JRS-E)	1125000
Stichting The Ocean Cleanup (The Ocean Cleanup)	1125000
Stichting Car Claim (SCC)	1125000
Universidade do Porto (U.Porto)	1125000
KfW Bankengruppe (KfW)	1125000
Confédération générale des Scop (CG Scop)	1125000
fit4internet - Verein zur Steigerung der digitalen Kompetenzen in Österreich (fit4internet)	1125000
Adisseo France SAS	1125000
Mémorial de la Shoah	1125000
International Step by Step Association (ISSA)	1125000
Autorità di Sistema portuale del Mar Tirreno Settentrionale (ADSP MTS)	1125000
SANOFI	1125000
alchemia-nova GmbH (alchemia-nova)	1125000
ΙΔΡΥΜΑ ΤΕΧΝΟΛΟΓΙΑΣ ΚΑΙ ΕΡΕΥΝΑΣ (ΙΤΕ - FORTH)	1125000
EURALIA	1125000
NextChem - Maire Tecnimont Group	1125000
European Network of National Human Rights Institutions (ENNHRI)	1125000
Vereniging van Waterbouwers	1125000
Wirtschaftsverband Stahl- und Metallverarbeitung e.V. (WSM)	1125000
Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP)	1125000
United Cities and Local Governments - Asia Pacific (UCLG ASPAC)	1125000
Philip Morris International Inc. (PMI)	1125000
Association Française de la Gestion financière (AFG)	1125000
CARES srcl - Osservatorio di Pavia (OdP)	1125000
AERNNOVA (ANN)	1125000
Zero Waste Europe (ZWE)	1125000
"Athena" Research and Innovation Center in Information, Communication and Knowledge Technologies (ATHENA RC)	1125000
ITTI Sp. z o.o. (ITTI)	1125000
HELLENIC FINANCIAL STABILITY FUND (HFSF)	1125000
Granta Design Ltd	1125000
Deutscher Franchiseverband e.V.	1125000
Rothman & Roman Ltd. (RR Ltd.)	1125000
Frequentis AG (Frequentis)	1125000
Mediterranean Protected Areas Network (MedPAN)	1125000

Warning: Removed 434 rows containing non-finite outside the scale range (`stat_bin()`).
Removed 434 rows containing non-finite outside the scale range (`stat_bin()`).

Bourse de l’UE

Characteristic	N = 12,965¹
Has_EU_grant
0	10,262 (79%)
1	2,703 (21%)
¹ n (%)

Bourses en fonction des groupes d’experts

Characteristic	0 N = 10,768¹	1 N = 2,197¹	p-value²
Has_EU_grant			<0.001
0	8,783 (82%)	1,479 (67%)
1	1,985 (18%)	718 (33%)
¹ n (%)
² Pearson’s Chi-squared test

                  OR  2.5 % 97.5 %         p    
Fisher's test 2.1479 1.9373 2.3803 < 2.2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Le chargement a nécessité le package : carData

lattice theme set by effectsTheme()
See ?effectsTheme for details.

Resized limits to included dashed line in forest panel

Warning in recalculate_width_panels(panel_positions, mapped_text = mapped_text,
: Unable to resize forest panel to be smaller than its heading; consider a
smaller text size

`height` was translated to `width`.

Meetings

Characteristic	N = 12,965¹
Nombre de rendez-vous avec la Commission
RECO_Meetings
0	7,963 (61%)
1	1,715 (13%)
2	761 (5.9%)
3	465 (3.6%)
4-5	519 (4.0%)
6-10	582 (4.5%)
11-20	459 (3.5%)
20 et +	501 (3.9%)
¹ n (%)

Meetings en fonction des groupes d’experts

Characteristic	In_Expert_groups N = 2,197¹	Out_EG N = 10,768¹
Proportion d'organisation ayant eu un meeting par rapport à la participation à un groupe d'expert
Has_Meetings
Meeting	1,157 (53%)	3,845 (36%)
No_meeting	1,040 (47%)	6,923 (64%)
¹ n (%)

Warning in recalculate_width_panels(panel_positions, mapped_text = mapped_text,
: Unable to resize forest panel to be smaller than its heading; consider a
smaller text size

`height` was translated to `width`.

EP.passes

In InterGroup

Characteristic	N = 12,965¹
In_intergroup
0	10,694 (82%)
1	2,271 (18%)
¹ n (%)

Intergroupe en fonction des groupes experts

Characteristic	0 N = 10,768¹	1 N = 2,197¹
In_intergroup
0	8,987 (83%)	1,707 (78%)
1	1,781 (17%)	490 (22%)
¹ n (%)

[1] 1.147468e-10

                         TR22Full$In_intergroup
TR22Full$In_Expert_groups         0         1
                        0  6.476918 -6.476918
                        1 -6.476918  6.476918

                  OR  2.5 % 97.5 %         p    
Fisher's test 1.4484 1.2914 1.6228 2.551e-10 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Resized limits to included dashed line in forest panel

`height` was translated to `width`.

2. Détails en fonction du type d’organisations

Characteristic	0 N = 10,768¹	1 N = 2,197¹
Type d'organisation
Dans le registre de transparence de 2022
Subsection
Academic institutions	299 (2.8%)	66 (3.0%)
Associations and networks of public authorities	8 (<0.1%)	1 (<0.1%)
Companies & groups	2,497 (23%)	410 (19%)
Entities, offices or networks established by third countries	1 (<0.1%)	0 (0%)
Law firms	86 (0.8%)	8 (0.4%)
Non-governmental organisations, platforms and networks and similar	2,933 (27%)	594 (27%)
Organisations representing churches and religious communities	54 (0.5%)	1 (<0.1%)
Other organisations	284 (2.6%)	45 (2.0%)
Other organisations, public or mixed entities	12 (0.1%)	2 (<0.1%)
Other public or mixed entities, created by law whose purpose is to act in the public interest	233 (2.2%)	43 (2.0%)
Other sub-national public authorities	85 (0.8%)	6 (0.3%)
Professional consultancies	550 (5.1%)	30 (1.4%)
Regional structures	99 (0.9%)	11 (0.5%)
Self-employed individuals	222 (2.1%)	7 (0.3%)
Think tanks and research institutions	506 (4.7%)	95 (4.3%)
Trade and business associations	2,036 (19%)	678 (31%)
Trade unions and professional associations	807 (7.5%)	183 (8.3%)
Transnational associations and networks of public regional or other subnational authorities	56 (0.5%)	17 (0.8%)
¹ n (%)

On ne garde pas des analyses suivantes les organisations suivantes :

“Entities, offices or networks established by third countries”
“Self-employed individuals”
“Organisations representing churches and religious communities”
“Law firms”

Parce qu’elles représentent trop peu d’individus, en particulier dans les groupes experts.

`stat_bin()` using `bins = 30`. Pick better value `binwidth`.

`stat_bin()` using `bins = 30`. Pick better value `binwidth`.

`stat_bin()` using `bins = 30`. Pick better value `binwidth`.

`stat_bin()` using `bins = 30`. Pick better value `binwidth`.

`stat_bin()` using `bins = 30`. Pick better value `binwidth`.

`stat_bin()` using `bins = 30`. Pick better value `binwidth`.

`stat_bin()` using `bins = 30`. Pick better value `binwidth`.

`stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ETP

ETP en fonction de l'organisation
Subsection	n_ETP	Percent	mean_orga	nb_orga
Non-governmental organisations, platforms and networks and similar	7824.75	30.93	2.218528	3527
Trade and business associations	4876.75	19.28	1.796887	2714
Companies & groups	4264.75	16.86	1.467062	2907
Think tanks and research institutions	1989.75	7.86	3.310732	601
Professional consultancies	1800.00	7.11	3.103448	580
Trade unions and professional associations	1537.50	6.08	1.553030	990
Academic institutions	874.25	3.46	2.395205	365
Other public or mixed entities, created by law whose purpose is to act in the public interest	623.50	2.46	2.259058	276
Other organisations	516.50	2.04	1.569909	329
Regional structures	344.00	1.36	3.127273	110
Other sub-national public authorities	287.00	1.13	3.153846	91
Transnational associations and networks of public regional or other subnational authorities	259.00	1.02	3.547945	73
Other organisations, public or mixed entities	60.50	0.24	4.321429	14
Associations and networks of public authorities	41.50	0.16	4.611111	9

En fonction de l’appartenance à un groupe expert

`summarise()` has grouped output by 'In_Expert_groups'. You can override using
the `.groups` argument.

In_Expert_groups	n	min	q1	med	q3	max	Mean.FTE	sd.FTE
Nombre d'ETP dans les organisations
En fonction du type d'organisations
Academic institutions
0	299	0.25	0.50	1.00	2.50	25.75	2.352843	3.436517
1	66	0.25	0.50	1.00	2.00	46.00	2.587121	6.279468
Associations and networks of public authorities
0	8	0.50	1.00	1.50	5.12	15.00	4.000000	4.978525
1	1	9.50	9.50	9.50	9.50	9.50	9.500000	NA
Companies & groups
0	2497	0.00	0.25	0.75	1.50	54.50	1.381558	2.488749
1	410	0.00	0.50	1.25	2.50	19.00	1.987805	2.429414
Non-governmental organisations, platforms and networks and similar
0	2933	0.00	0.25	1.00	2.25	43.00	2.033754	3.302657
1	594	0.00	0.50	1.50	3.75	39.75	3.130892	4.541640
Other organisations
0	284	0.25	0.25	0.75	1.50	32.00	1.519366	2.866751
1	45	0.25	0.50	1.25	2.25	11.00	1.888889	2.340088
Other organisations, public or mixed entities
0	12	0.25	0.25	1.50	6.25	23.00	4.645833	6.751648
1	2	0.50	1.44	2.38	3.31	4.25	2.375000	2.651650
Other public or mixed entities, created by law whose purpose is to act in the public interest
0	233	0.25	0.50	1.00	2.75	39.00	2.351931	4.187878
1	43	0.25	0.25	1.00	1.38	15.00	1.755814	2.890094
Other sub-national public authorities
0	85	0.25	0.50	1.50	4.50	19.00	3.111765	3.787610
1	6	0.25	0.50	1.38	5.81	12.00	3.750000	4.819232
Professional consultancies
0	550	0.25	0.50	1.00	3.00	48.50	3.159091	5.758629
1	30	0.25	0.25	0.50	1.00	21.25	2.083333	4.567187
Regional structures
0	99	0.25	0.75	2.00	3.38	21.50	2.868687	3.471705
1	11	0.25	1.62	3.00	6.62	21.50	5.454545	6.627422
Think tanks and research institutions
0	506	0.25	0.50	1.50	3.50	37.00	3.227273	5.037727
1	95	0.25	0.50	1.75	5.12	23.50	3.755263	4.669955
Trade and business associations
0	2036	0.00	0.25	0.75	1.75	40.00	1.408399	1.947993
1	678	0.25	0.75	1.75	3.50	41.75	2.963496	4.113876
Trade unions and professional associations
0	807	0.00	0.25	0.75	1.50	16.50	1.273544	1.773085
1	183	0.25	0.75	1.50	3.75	23.25	2.785519	3.459057
Transnational associations and networks of public regional or other subnational authorities
0	56	0.25	0.75	2.00	4.62	38.00	3.946429	5.965757
1	17	0.25	1.00	1.75	3.00	8.50	2.235294	2.086921

Characteristic	In_Expert_groups		No_EG
Characteristic	N = 2,181¹	p-value²	N = 10,405¹	p-value²
Subsection		<0.001		<0.001
Academic institutions	1.00 (0.50, 2.00)		1.00 (0.50, 2.50)
Associations and networks of public authorities	9.50 (9.50, 9.50)		1.50 (1.00, 5.75)
Companies & groups	1.25 (0.50, 2.50)		0.75 (0.25, 1.50)
Non-governmental organisations, platforms and networks and similar	1.50 (0.50, 3.75)		1.00 (0.25, 2.25)
Other organisations	1.25 (0.50, 2.25)		0.75 (0.25, 1.50)
Other organisations, public or mixed entities	2.38 (0.50, 4.25)		1.50 (0.25, 6.50)
Other public or mixed entities, created by law whose purpose is to act in the public interest	1.00 (0.25, 1.50)		1.00 (0.50, 2.75)
Other sub-national public authorities	1.38 (0.25, 7.25)		1.50 (0.50, 4.50)
Professional consultancies	0.50 (0.25, 1.00)		1.00 (0.50, 3.00)
Regional structures	3.00 (1.25, 9.50)		2.00 (0.75, 3.50)
Think tanks and research institutions	1.75 (0.50, 5.25)		1.50 (0.50, 3.50)
Trade and business associations	1.75 (0.75, 3.50)		0.75 (0.25, 1.75)
Trade unions and professional associations	1.50 (0.75, 3.75)		0.75 (0.25, 1.50)
Transnational associations and networks of public regional or other subnational authorities	1.75 (1.00, 3.00)		2.00 (0.75, 4.75)
¹ Members.FTE: Median (Q1, Q3)
² Kruskal-Wallis rank sum test

Bruxelles

The following errors were returned during `add_p()`:
✖ For variable `Subsection` (`Bruxel`) and "estimate", "p.value", "conf.low",
  and "conf.high" statistics: FEXACT erreur 7(location). LDSTP=16290 est trop
  petit pour ce problème, (pastp=103.306, ipn_0:=ipoin[itp=348]=16164,
  stp[ipn_0]=101.782). Augmentez la taille de l’environnement de travail ou
  considérez l’utilisation de ‘simulate.p.value=TRUE’.

Characteristic	In_Bruxel N = 3,240¹	No_Bruxel N = 9,346¹
Subsection
Academic institutions	44 (1.4%)	321 (3.4%)
Associations and networks of public authorities	1 (<0.1%)	8 (<0.1%)
Companies & groups	493 (15%)	2,414 (26%)
Non-governmental organisations, platforms and networks and similar	880 (27%)	2,647 (28%)
Other organisations	88 (2.7%)	241 (2.6%)
Other organisations, public or mixed entities	0 (0%)	14 (0.1%)
Other public or mixed entities, created by law whose purpose is to act in the public interest	53 (1.6%)	223 (2.4%)
Other sub-national public authorities	35 (1.1%)	56 (0.6%)
Professional consultancies	238 (7.3%)	342 (3.7%)
Regional structures	47 (1.5%)	63 (0.7%)
Think tanks and research institutions	136 (4.2%)	465 (5.0%)
Trade and business associations	957 (30%)	1,757 (19%)
Trade unions and professional associations	244 (7.5%)	746 (8.0%)
Transnational associations and networks of public regional or other subnational authorities	24 (0.7%)	49 (0.5%)
¹ n (%)

En fonction des groupes experts

The following errors were returned during `tbl_strata()`:
✖ For variable `Subsection` (`Bruxel`) and "estimate", "p.value", "conf.low",
  and "conf.high" statistics: FEXACT erreur 7(location). LDSTP=18240 est trop
  petit pour ce problème, (pastp=20.2247, ipn_0:=ipoin[itp=189]=18037,
  stp[ipn_0]=15.8998). Augmentez la taille de l’environnement de travail ou
  considérez l’utilisation de ‘simulate.p.value=TRUE’.
The following errors were returned during `tbl_strata()`:
✖ For variable `Subsection` (`Bruxel`) and "estimate", "p.value", "conf.low",
  and "conf.high" statistics: FEXACT erreur 7(location). LDSTP=16680 est trop
  petit pour ce problème, (pastp=99.0431, ipn_0:=ipoin[itp=176]=1569,
  stp[ipn_0]=72.8882). Augmentez la taille de l’environnement de travail ou
  considérez l’utilisation de ‘simulate.p.value=TRUE’.

Characteristic	In_Expert_groups			No_EG
Characteristic	In_Bruxel N = 957¹	No_Bruxel N = 1,224¹	p-value	In_Bruxel N = 2,283¹	No_Bruxel N = 8,122¹	p-value
Subsection
Academic institutions	9 (0.9%)	57 (4.7%)		35 (1.5%)	264 (3.3%)
Associations and networks of public authorities	0 (0%)	1 (<0.1%)		1 (<0.1%)	7 (<0.1%)
Companies & groups	129 (13%)	281 (23%)		364 (16%)	2,133 (26%)
Non-governmental organisations, platforms and networks and similar	236 (25%)	358 (29%)		644 (28%)	2,289 (28%)
Other organisations	17 (1.8%)	28 (2.3%)		71 (3.1%)	213 (2.6%)
Other organisations, public or mixed entities	0 (0%)	2 (0.2%)		0 (0%)	12 (0.1%)
Other public or mixed entities, created by law whose purpose is to act in the public interest	10 (1.0%)	33 (2.7%)		43 (1.9%)	190 (2.3%)
Other sub-national public authorities	3 (0.3%)	3 (0.2%)		32 (1.4%)	53 (0.7%)
Professional consultancies	4 (0.4%)	26 (2.1%)		234 (10%)	316 (3.9%)
Regional structures	6 (0.6%)	5 (0.4%)		41 (1.8%)	58 (0.7%)
Think tanks and research institutions	24 (2.5%)	71 (5.8%)		112 (4.9%)	394 (4.9%)
Trade and business associations	426 (45%)	252 (21%)		531 (23%)	1,505 (19%)
Trade unions and professional associations	82 (8.6%)	101 (8.3%)		162 (7.1%)	645 (7.9%)
Transnational associations and networks of public regional or other subnational authorities	11 (1.1%)	6 (0.5%)		13 (0.6%)	43 (0.5%)
¹ n (%)

Budget

Warning: Removed 6 rows containing non-finite outside the scale range
(`stat_boxplot()`).

Characteristic	In_Expert_groups		No_EG
Characteristic	N = 2,181¹	p-value²	N = 10,405¹	p-value²
Subsection		<0.001		<0.001
Academic institutions	37,500 (9,999, 75,000)		37,500 (9,999, 150,000)
Associations and networks of public authorities	150,000 (150,000, 150,000)		150,000 (75,000, 400,000)
Companies & groups	150,000 (17,500, 350,000)		37,500 (9,999, 150,000)
Non-governmental organisations, platforms and networks and similar	75,000 (17,500, 250,000)		17,500 (9,999, 75,000)
Other organisations	75,000 (17,500, 150,000)		17,500 (9,999, 75,000)
Other organisations, public or mixed entities	80,000 (9,999, 150,000)		75,000 (13,750, 600,000)
Other public or mixed entities, created by law whose purpose is to act in the public interest	17,500 (9,999, 150,000)		75,000 (17,500, 150,000)
Other sub-national public authorities	75,000 (9,999, 250,000)		75,000 (9,999, 250,000)
Professional consultancies	17,500 (9,999, 75,000)		37,500 (9,999, 150,000)
Regional structures	250,000 (9,999, 750,000)		75,000 (9,999, 250,000)
Think tanks and research institutions	75,000 (9,999, 450,000)		37,500 (9,999, 150,000)
Trade and business associations	150,000 (37,500, 350,000)		37,500 (9,999, 150,000)
Trade unions and professional associations	75,000 (17,500, 350,000)		17,500 (9,999, 75,000)
Transnational associations and networks of public regional or other subnational authorities	150,000 (75,000, 150,000)		37,500 (9,999, 250,000)
¹ Lobbying.cost: Median (Q1, Q3)
² Kruskal-Wallis rank sum test

`summarise()` has grouped output by 'In_Expert_groups'. You can override using
the `.groups` argument.

In_Expert_groups	n	min	q1	med	q3	max	Mean.FTE	sd.FTE
Nombre d'ETP dans les organisations
En fonction du type d'organisations
Academic institutions
0	299	0	9999.00	37500.0	150000.0	1875000	119640.18	206999.06
1	66	9999	9999.00	37500.0	75000.0	1125000	104886.09	186138.75
Associations and networks of public authorities
0	8	9999	75000.00	150000.0	325000.0	1125000	298124.88	373391.30
1	1	150000	150000.00	150000.0	150000.0	150000	150000.00	NA
Companies & groups
0	2497	NA	9999.00	37500.0	150000.0	NA	NA	NA
1	410	NA	17500.00	150000.0	350000.0	NA	NA	NA
Non-governmental organisations, platforms and networks and similar
0	2933	NA	9999.00	17500.0	75000.0	NA	NA	NA
1	594	NA	17500.00	75000.0	250000.0	NA	NA	NA
Other organisations
0	284	0	9999.00	17500.0	75000.0	1125000	92587.69	175133.86
1	45	0	17500.00	75000.0	150000.0	850000	136333.11	182374.49
Other organisations, public or mixed entities
0	12	9999	15624.75	75000.0	525000.0	1875000	356041.42	564482.49
1	2	9999	44999.25	79999.5	114999.8	150000	79999.50	98995.66
Other public or mixed entities, created by law whose purpose is to act in the public interest
0	233	0	17500.00	75000.0	150000.0	3375000	171029.82	335195.64
1	43	0	9999.00	17500.0	150000.0	1875000	150755.44	337970.53
Other sub-national public authorities
0	85	0	9999.00	75000.0	250000.0	1875000	200617.38	312434.19
1	6	9999	26249.25	75000.0	206250.0	1125000	257499.67	433990.44
Professional consultancies
0	550	0	9999.00	37500.0	150000.0	6875000	263627.05	755215.43
1	30	9999	9999.00	17500.0	75000.0	1125000	119416.30	255887.47
Regional structures
0	99	0	13749.50	75000.0	250000.0	1625000	192146.26	269447.33
1	11	9999	79999.50	250000.0	550000.0	2125000	489090.64	640721.76
Think tanks and research institutions
0	506	0	9999.00	37500.0	150000.0	7125000	231531.35	607361.56
1	95	0	9999.00	75000.0	450000.0	9875000	397894.51	1082787.58
Trade and business associations
0	2036	0	9999.00	37500.0	150000.0	5125000	121619.35	238063.79
1	678	0	37500.00	150000.0	350000.0	9125000	337507.27	693660.28
Trade unions and professional associations
0	807	0	9999.00	17500.0	75000.0	1625000	76709.70	150028.28
1	183	9999	17500.00	75000.0	350000.0	1875000	205587.25	283446.40
Transnational associations and networks of public regional or other subnational authorities
0	56	0	9999.00	37500.0	250000.0	1125000	195267.62	294468.34
1	17	9999	75000.00	150000.0	150000.0	1125000	260441.12	346251.44

Bourse de l’UE

The following errors were returned during `add_p()`:
✖ For variable `Subsection` (`Has_EU_grant`) and "estimate", "p.value",
  "conf.low", and "conf.high" statistics: FEXACT erreur 7(location).
  LDSTP=16290 est trop petit pour ce problème, (pastp=67.6208,
  ipn_0:=ipoin[itp=17]=1, stp[ipn_0]=51.6559). Augmentez la taille de
  l’environnement de travail ou considérez l’utilisation de
  ‘simulate.p.value=TRUE’.

Characteristic	Has_grant N = 2,690¹	No_grant N = 9,896¹
Subsection
Academic institutions	249 (9.3%)	116 (1.2%)
Associations and networks of public authorities	0 (0%)	9 (<0.1%)
Companies & groups	515 (19%)	2,392 (24%)
Non-governmental organisations, platforms and networks and similar	1,024 (38%)	2,503 (25%)
Other organisations	54 (2.0%)	275 (2.8%)
Other organisations, public or mixed entities	0 (0%)	14 (0.1%)
Other public or mixed entities, created by law whose purpose is to act in the public interest	104 (3.9%)	172 (1.7%)
Other sub-national public authorities	37 (1.4%)	54 (0.5%)
Professional consultancies	44 (1.6%)	536 (5.4%)
Regional structures	33 (1.2%)	77 (0.8%)
Think tanks and research institutions	241 (9.0%)	360 (3.6%)
Trade and business associations	259 (9.6%)	2,455 (25%)
Trade unions and professional associations	93 (3.5%)	897 (9.1%)
Transnational associations and networks of public regional or other subnational authorities	37 (1.4%)	36 (0.4%)
¹ n (%)

En fonction des groupes experts

The following errors were returned during `tbl_strata()`:
✖ For variable `Subsection` (`Has_EU_grant`) and "estimate", "p.value",
  "conf.low", and "conf.high" statistics: FEXACT erreur 7(location).
  LDSTP=18240 est trop petit pour ce problème, (pastp=18.9612,
  ipn_0:=ipoin[itp=176]=940, stp[ipn_0]=19.642). Augmentez la taille de
  l’environnement de travail ou considérez l’utilisation de
  ‘simulate.p.value=TRUE’.
The following errors were returned during `tbl_strata()`:
✖ For variable `Subsection` (`Has_EU_grant`) and "estimate", "p.value",
  "conf.low", and "conf.high" statistics: FEXACT erreur 7(location).
  LDSTP=16680 est trop petit pour ce problème, (pastp=82.5933,
  ipn_0:=ipoin[itp=68]=8321, stp[ipn_0]=61.036). Augmentez la taille de
  l’environnement de travail ou considérez l’utilisation de
  ‘simulate.p.value=TRUE’.

Characteristic	In_Expert_groups			No_EG
Characteristic	Has_grant N = 718¹	No_grant N = 1,463¹	p-value	Has_grant N = 1,972¹	No_grant N = 8,433¹	p-value
Subsection
Academic institutions	46 (6.4%)	20 (1.4%)		203 (10%)	96 (1.1%)
Associations and networks of public authorities	0 (0%)	1 (<0.1%)		0 (0%)	8 (<0.1%)
Companies & groups	143 (20%)	267 (18%)		372 (19%)	2,125 (25%)
Non-governmental organisations, platforms and networks and similar	255 (36%)	339 (23%)		769 (39%)	2,164 (26%)
Other organisations	16 (2.2%)	29 (2.0%)		38 (1.9%)	246 (2.9%)
Other organisations, public or mixed entities	0 (0%)	2 (0.1%)		0 (0%)	12 (0.1%)
Other public or mixed entities, created by law whose purpose is to act in the public interest	21 (2.9%)	22 (1.5%)		83 (4.2%)	150 (1.8%)
Other sub-national public authorities	1 (0.1%)	5 (0.3%)		36 (1.8%)	49 (0.6%)
Professional consultancies	9 (1.3%)	21 (1.4%)		35 (1.8%)	515 (6.1%)
Regional structures	5 (0.7%)	6 (0.4%)		28 (1.4%)	71 (0.8%)
Think tanks and research institutions	57 (7.9%)	38 (2.6%)		184 (9.3%)	322 (3.8%)
Trade and business associations	112 (16%)	566 (39%)		147 (7.5%)	1,889 (22%)
Trade unions and professional associations	42 (5.8%)	141 (9.6%)		51 (2.6%)	756 (9.0%)
Transnational associations and networks of public regional or other subnational authorities	11 (1.5%)	6 (0.4%)		26 (1.3%)	30 (0.4%)
¹ n (%)

Meetings

Characteristic	N = 12,586¹
Subsection
Academic institutions	0.0 (0.0 - 1.0) \| 3.0 - 18.0
Associations and networks of public authorities	0.0 (0.0 - 2.0) \| 5.0 - 5.0
Companies & groups	0.0 (0.0 - 3.0) \| 14.0 - 352.0
Non-governmental organisations, platforms and networks and similar	0.0 (0.0 - 1.0) \| 4.0 - 277.0
Other organisations	0.0 (0.0 - 1.0) \| 4.0 - 57.0
Other organisations, public or mixed entities	0.0 (0.0 - 3.0) \| 10.0 - 14.0
Other public or mixed entities, created by law whose purpose is to act in the public interest	0.0 (0.0 - 1.0) \| 3.0 - 77.0
Other sub-national public authorities	0.0 (0.0 - 1.0) \| 4.0 - 63.0
Professional consultancies	0.0 (0.0 - 2.0) \| 7.0 - 93.0
Regional structures	0.0 (0.0 - 1.0) \| 3.0 - 26.0
Think tanks and research institutions	0.0 (0.0 - 2.0) \| 8.0 - 93.0
Trade and business associations	0.0 (0.0 - 2.0) \| 11.0 - 417.0
Trade unions and professional associations	0.0 (0.0 - 1.0) \| 4.0 - 234.0
Transnational associations and networks of public regional or other subnational authorities	0.0 (0.0 - 1.0) \| 6.0 - 22.0
¹ Meetings: Median (Q1 - Q3) \| 90% Centile - Max

En fonction des groupes experts

Characteristic	In_Expert_groups		No_EG
Characteristic	N = 2,181¹	p-value²	N = 10,405¹	p-value²
Subsection		<0.001		<0.001
Academic institutions	0 (0 - 1) \| 3 - 18		0.0 (0.0 - 1.0) \| 3.0 - 18.0
Associations and networks of public authorities	0 (0 - 0) \| 0 - 0		0.5 (0.0 - 2.5) \| 5.0 - 5.0
Companies & groups	1 (0 - 15) \| 42 - 277		0.0 (0.0 - 2.0) \| 9.0 - 352.0
Non-governmental organisations, platforms and networks and similar	0 (0 - 4) \| 17 - 277		0.0 (0.0 - 1.0) \| 3.0 - 129.0
Other organisations	0 (0 - 2) \| 14 - 57		0.0 (0.0 - 1.0) \| 3.0 - 49.0
Other organisations, public or mixed entities	1 (0 - 1) \| 1 - 1		0.0 (0.0 - 3.0) \| 10.0 - 14.0
Other public or mixed entities, created by law whose purpose is to act in the public interest	0 (0 - 0) \| 4 - 56		0.0 (0.0 - 1.0) \| 3.0 - 77.0
Other sub-national public authorities	0 (0 - 12) \| 63 - 63		0.0 (0.0 - 1.0) \| 3.0 - 16.0
Professional consultancies	0 (0 - 0) \| 6 - 20		0.0 (0.0 - 2.0) \| 7.0 - 93.0
Regional structures	1 (0 - 3) \| 17 - 26		0.0 (0.0 - 1.0) \| 2.0 - 9.0
Think tanks and research institutions	0 (0 - 2) \| 10 - 35		0.0 (0.0 - 2.0) \| 8.0 - 93.0
Trade and business associations	2 (0 - 12) \| 34 - 417		0.0 (0.0 - 1.0) \| 5.0 - 73.0
Trade unions and professional associations	2 (0 - 8) \| 16 - 234		0.0 (0.0 - 1.0) \| 2.0 - 76.0
Transnational associations and networks of public regional or other subnational authorities	0 (0 - 10) \| 18 - 22		0.0 (0.0 - 1.0) \| 3.0 - 12.0
¹ Meetings: Median (Q1 - Q3) \| 90% Centile - Max
² Kruskal-Wallis rank sum test

EP.Passes

Characteristic	N = 12,586¹
Subsection
Academic institutions	2 (1 - 10) \| 22 - 37 / 42
Associations and networks of public authorities	9 (9 - 9) \| 9 - 9 / 1
Companies & groups	7 (2 - 19) \| 40 - 210 / 899
Non-governmental organisations, platforms and networks and similar	8 (3 - 20) \| 44 - 332 / 934
Other organisations	7 (2 - 14) \| 30 - 132 / 76
Other organisations, public or mixed entities	16 (1 - 51) \| 51 - 51 / 3
Other public or mixed entities, created by law whose purpose is to act in the public interest	6 (2 - 9) \| 19 - 34 / 58
Other sub-national public authorities	2 (1 - 27) \| 82 - 90 / 16
Professional consultancies	12 (3 - 38) \| 131 - 676 / 268
Regional structures	7 (2 - 10) \| 62 - 80 / 22
Think tanks and research institutions	7 (2 - 23) \| 44 - 79 / 134
Trade and business associations	10 (3 - 27) \| 51 - 308 / 903
Trade unions and professional associations	6 (2 - 18) \| 44 - 156 / 242
Transnational associations and networks of public regional or other subnational authorities	9 (3 - 17) \| 32 - 65 / 18
¹ all.EP.passes: Median (Q1 - Q3) \| 90% Centile - Max / N Non-missing

En fonction des groupes experts

Warning: Removed 8970 rows containing non-finite outside the scale range
(`stat_boxplot()`).

The following warnings were returned during `tbl_strata()`:
! For variable `all.EP.passes` (`Subsection = "Associations and networks of
  public authorities"`) and "max" statistic: aucun argument pour max ; -Inf est
  renvoyé
! For variable `all.EP.passes` (`Subsection = "Other organisations, public or
  mixed entities"`) and "max" statistic: aucun argument pour max ; -Inf est
  renvoyé

Characteristic	In_Expert_groups		No_EG
Characteristic	N = 2,181¹	p-value²	N = 10,405¹	p-value²
Subsection		0.7		<0.001
Academic institutions	17 (12 - 29) \| 37 - 37 / 5		2 (1 - 7) \| 16 - 28 / 37
Associations and networks of public authorities	NA (NA - NA) \| NA - -Inf / 0		9 (9 - 9) \| 9 - 9 / 1
Companies & groups	18 (7 - 39) \| 61 - 153 / 188		6 (2 - 14) \| 32 - 210 / 711
Non-governmental organisations, platforms and networks and similar	19 (6 - 43) \| 74 - 332 / 213		6 (2 - 15) \| 33 - 135 / 721
Other organisations	11 (2 - 20) \| 76 - 132 / 18		7 (2 - 12) \| 19 - 112 / 58
Other organisations, public or mixed entities	NA (NA - NA) \| NA - -Inf / 0		16 (1 - 51) \| 51 - 51 / 3
Other public or mixed entities, created by law whose purpose is to act in the public interest	8 (1 - 10) \| 24 - 24 / 6		6 (3 - 9) \| 18 - 34 / 52
Other sub-national public authorities	58 (1 - 82) \| 82 - 82 / 3		2 (1 - 4) \| 50 - 90 / 13
Professional consultancies	7 (4 - 145) \| 148 - 148 / 6		12 (3 - 37) \| 123 - 676 / 262
Regional structures	8 (3 - 62) \| 68 - 68 / 5		6 (2 - 9) \| 18 - 80 / 17
Think tanks and research institutions	19 (5 - 35) \| 57 - 67 / 22		7 (2 - 22) \| 36 - 79 / 112
Trade and business associations	18 (6 - 40) \| 72 - 308 / 405		6 (2 - 17) \| 32 - 119 / 498
Trade unions and professional associations	15 (4 - 44) \| 61 - 156 / 79		4 (2 - 11) \| 23 - 67 / 163
Transnational associations and networks of public regional or other subnational authorities	20 (13 - 32) \| 65 - 65 / 6		6 (3 - 11) \| 17 - 24 / 12
¹ all.EP.passes: Median (Q1 - Q3) \| 90% Centile - Max / N Non-missing
² Kruskal-Wallis rank sum test

Intergroupe

En fonction des groupes experts

The following errors were returned during `tbl_strata()`:
✖ For variable `Subsection` (`In_intergroup`) and "estimate", "p.value",
  "conf.low", and "conf.high" statistics: FEXACT erreur 7(location).
  LDSTP=18240 est trop petit pour ce problème, (pastp=48.8158,
  ipn_0:=ipoin[itp=199]=283, stp[ipn_0]=45.8746). Augmentez la taille de
  l’environnement de travail ou considérez l’utilisation de
  ‘simulate.p.value=TRUE’.
The following errors were returned during `tbl_strata()`:
✖ For variable `Subsection` (`In_intergroup`) and "estimate", "p.value",
  "conf.low", and "conf.high" statistics: FEXACT erreur 7(location).
  LDSTP=16680 est trop petit pour ce problème, (pastp=86.1911,
  ipn_0:=ipoin[itp=476]=5109, stp[ipn_0]=78.2866). Augmentez la taille de
  l’environnement de travail ou considérez l’utilisation de
  ‘simulate.p.value=TRUE’.

Characteristic	In_Expert_groups			No_EG
Characteristic	Has_intergroup N = 490¹	No_intergroup N = 1,691¹	p-value	Has_intergroup N = 1,701¹	No_intergroup N = 8,704¹	p-value
Subsection
Academic institutions	9 (1.8%)	57 (3.4%)		41 (2.4%)	258 (3.0%)
Associations and networks of public authorities	0 (0%)	1 (<0.1%)		0 (0%)	8 (<0.1%)
Companies & groups	102 (21%)	308 (18%)		369 (22%)	2,128 (24%)
Non-governmental organisations, platforms and networks and similar	144 (29%)	450 (27%)		625 (37%)	2,308 (27%)
Other organisations	6 (1.2%)	39 (2.3%)		37 (2.2%)	247 (2.8%)
Other organisations, public or mixed entities	0 (0%)	2 (0.1%)		0 (0%)	12 (0.1%)
Other public or mixed entities, created by law whose purpose is to act in the public interest	5 (1.0%)	38 (2.2%)		35 (2.1%)	198 (2.3%)
Other sub-national public authorities	0 (0%)	6 (0.4%)		16 (0.9%)	69 (0.8%)
Professional consultancies	4 (0.8%)	26 (1.5%)		75 (4.4%)	475 (5.5%)
Regional structures	4 (0.8%)	7 (0.4%)		16 (0.9%)	83 (1.0%)
Think tanks and research institutions	18 (3.7%)	77 (4.6%)		73 (4.3%)	433 (5.0%)
Trade and business associations	152 (31%)	526 (31%)		279 (16%)	1,757 (20%)
Trade unions and professional associations	43 (8.8%)	140 (8.3%)		120 (7.1%)	687 (7.9%)
Transnational associations and networks of public regional or other subnational authorities	3 (0.6%)	14 (0.8%)		15 (0.9%)	41 (0.5%)
¹ n (%)

Resized limits to included dashed line in forest panel

`height` was translated to `width`.

Characteristic	In_Expert_groups		No_EG
Characteristic	N = 2,181¹	p-value²	N = 10,405¹	p-value²
Subsection		<0.001		<0.001
Academic institutions	0 (0 - 1) \| 3 - 18		0.0 (0.0 - 1.0) \| 3.0 - 18.0
Associations and networks of public authorities	0 (0 - 0) \| 0 - 0		0.5 (0.0 - 2.5) \| 5.0 - 5.0
Companies & groups	1 (0 - 15) \| 42 - 277		0.0 (0.0 - 2.0) \| 9.0 - 352.0
Non-governmental organisations, platforms and networks and similar	0 (0 - 4) \| 17 - 277		0.0 (0.0 - 1.0) \| 3.0 - 129.0
Other organisations	0 (0 - 2) \| 14 - 57		0.0 (0.0 - 1.0) \| 3.0 - 49.0
Other organisations, public or mixed entities	1 (0 - 1) \| 1 - 1		0.0 (0.0 - 3.0) \| 10.0 - 14.0
Other public or mixed entities, created by law whose purpose is to act in the public interest	0 (0 - 0) \| 4 - 56		0.0 (0.0 - 1.0) \| 3.0 - 77.0
Other sub-national public authorities	0 (0 - 12) \| 63 - 63		0.0 (0.0 - 1.0) \| 3.0 - 16.0
Professional consultancies	0 (0 - 0) \| 6 - 20		0.0 (0.0 - 2.0) \| 7.0 - 93.0
Regional structures	1 (0 - 3) \| 17 - 26		0.0 (0.0 - 1.0) \| 2.0 - 9.0
Think tanks and research institutions	0 (0 - 2) \| 10 - 35		0.0 (0.0 - 2.0) \| 8.0 - 93.0
Trade and business associations	2 (0 - 12) \| 34 - 417		0.0 (0.0 - 1.0) \| 5.0 - 73.0
Trade unions and professional associations	2 (0 - 8) \| 16 - 234		0.0 (0.0 - 1.0) \| 2.0 - 76.0
Transnational associations and networks of public regional or other subnational authorities	0 (0 - 10) \| 18 - 22		0.0 (0.0 - 1.0) \| 3.0 - 12.0
¹ Meetings: Median (Q1 - Q3) \| 90% Centile - Max
² Kruskal-Wallis rank sum test

Characteristic	In_Expert_groups		No_EG
Characteristic	N = 2,181¹	p-value²	N = 10,405¹	p-value²
Subsection		0.7		<0.001
Academic institutions	17 (12 - 29) \| 37 - 37 / 5		2 (1 - 7) \| 16 - 28 / 37
Associations and networks of public authorities	NA (NA - NA) \| NA - -Inf / 0		9 (9 - 9) \| 9 - 9 / 1
Companies & groups	18 (7 - 39) \| 61 - 153 / 188		6 (2 - 14) \| 32 - 210 / 711
Non-governmental organisations, platforms and networks and similar	19 (6 - 43) \| 74 - 332 / 213		6 (2 - 15) \| 33 - 135 / 721
Other organisations	11 (2 - 20) \| 76 - 132 / 18		7 (2 - 12) \| 19 - 112 / 58
Other organisations, public or mixed entities	NA (NA - NA) \| NA - -Inf / 0		16 (1 - 51) \| 51 - 51 / 3
Other public or mixed entities, created by law whose purpose is to act in the public interest	8 (1 - 10) \| 24 - 24 / 6		6 (3 - 9) \| 18 - 34 / 52
Other sub-national public authorities	58 (1 - 82) \| 82 - 82 / 3		2 (1 - 4) \| 50 - 90 / 13
Professional consultancies	7 (4 - 145) \| 148 - 148 / 6		12 (3 - 37) \| 123 - 676 / 262
Regional structures	8 (3 - 62) \| 68 - 68 / 5		6 (2 - 9) \| 18 - 80 / 17
Think tanks and research institutions	19 (5 - 35) \| 57 - 67 / 22		7 (2 - 22) \| 36 - 79 / 112
Trade and business associations	18 (6 - 40) \| 72 - 308 / 405		6 (2 - 17) \| 32 - 119 / 498
Trade unions and professional associations	15 (4 - 44) \| 61 - 156 / 79		4 (2 - 11) \| 23 - 67 / 163
Transnational associations and networks of public regional or other subnational authorities	20 (13 - 32) \| 65 - 65 / 6		6 (3 - 11) \| 17 - 24 / 12
¹ all.EP.passes: Median (Q1 - Q3) \| 90% Centile - Max / N Non-missing
² Kruskal-Wallis rank sum test