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Evolution of the performance framework in the Common Agriculture Policy Faculty of Economic and Social Sciences Department of Economy and Economic Policy in Agribusiness Wawrzyniec Czubak [email protected]

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Page 1: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Evolution of the performance frameworkin the Common Agriculture Policy

Faculty of Economic and Social SciencesDepartment of Economy and Economic Policy in Agribusiness

Wawrzyniec [email protected]

Page 2: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

1. Defining the types of farms in the EU2. Investment outlays in agriculture in Poland3. Allocation of EU funds4. Distribution of direct payments in Poland

Page 3: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Defining the types of farms in the EU

Attempt to estimate the role and importance ofdifferent types of farms in EU agriculture

The future CAPensure only genuine farmers receiveincome support

Page 4: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

The European model of agriculture

Sustainable agriculture:economically, socially and environmentally

Family farm

Page 5: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Farm modelsFamily farms

- individual farms,- more than 50% of labor is own workforce- income per 1 person (workforce) is higher than

the minimum wage in the country,Corporate (also individual large-scale commercial farm)

- characterized by a predominance of externalworkforce

Small (economically marginal importance)- obtained income per 1 person own work islower than the net minimum wage in thecountry.

Page 6: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

The criterion of delimitation:net minimum wage

Total agriculture holdings (farms)12 014 760

FADN agriculture holdings (farms)4 855 660

Farms with income over the net minimum3 974 760

Family farms3 614 150

7 159 100

880 900

360 860 (3%)

Farms producingless than 10% of the SO

Farms with income below thenet minimum

large-scale commercial farm

30%

Estimation of the number of family farms

Page 7: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

The criterion of delimitation:net average wage

Total agriculture holdings (farms)12 014 760

FADN agriculture holdings (farms)4 855 660

Farms with income over the net AVERAGE917 410

Family farms556 550

7 159 100

3 938 250

360 860 (3%)

Farms producingless than 10% of the SO

Farms with income below thenet AVERAGE

large-scale commercial farm

5%

Estimation of the number of family farms

Page 8: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

The criterion of delimitation:net average wage

Number of farms

UAA

FWU

The value of production

Direct payments

Poland vs EUPL EU

9,6%

37,0%

15,1%

56,5%

40,9%

4,6 %

14,6 %

17,1 %

20,7 %

14,5 %

Page 9: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Share of family farms in total agriculture holdings (farms)

Źródło: Eurostat ; FADN

63% 3% 34%

Page 10: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

The share of different types of farms in:

0

10

20

30

40

50

60

70

0

10

20

30

40

50

60

0

10

20

30

40

50

60

0

10

20

30

40

50

Number of farms Area of agricultural land

Labour input Value of agricultural output

Family Small Corporate

Page 11: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Productivity (euro)

Agricultural land(Standard Output/AWU)

Labour(Standard Output/ha)

Family Small Corporate

0

20

40

60

80

100

0

500

1000

1500

2000

2500

Page 12: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Investment outlays in agriculture-Polish example of UE accession

The future CAPMore favourable conditions for knowledge transfer,eco-friendly investments, innovation

Page 13: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Investment outlays in agriculture in 1993-2015 and the resultsof exponential model for 2004-2015

Investment outlays in agriculture in 1993-2011 and the results ofexponential model for 2004-2017

0

1.000

2.000

3.000

4.000

5.000

6.00019

9319

9419

9519

9619

9719

9819

9920

0020

0120

0220

0320

0420

0520

0620

0720

0820

0920

1020

1120

1220

1320

1420

1520

1620

17

Investment outlays in agriculture (CSO)

Holt exponencial model 25 bln PLN

5,8 bln euro

mln PLN

Page 14: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Investment outlays in food industry

0

2.000

4.000

6.000

8.000

10.000

12.000

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

Manufacture of food products and beverages

Holt exponential model

16 billion PLN3,7 bln euro

mln PLN

the estimated net increase from 2004 to 2017 is 16 bilion PLN, which with a totalcapital expenditure of 106 billion PLN means an increase of 15%

Page 15: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

CAP flexible system- specific needs of their farmers and rural communities

The future CAPAn extensive toolbox of measures will be agreedat the EU level, establishing what MemberStates can do with the money allocated to them;each country is then free to select and furtherdesign the specific measures

Page 16: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

direction of financial mechanisms- what we support?

model of industrialagriculture

strongly emphasizingthe increasing laborproductivity and theintensity of resource

management inagriculture production

High economicefficiency

with respect for thebasic requirements of

environmentalprotection

model ofenvironmentallysustainableagricultural

ability to self-renewal ofnatural resources

model of sociallysustainableagriculture

provide a satisfactoryconditions for the

agricultural populationand rural areas

economicaly

Page 17: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Total public expenditure + co-financingwithout direct subsidies

in millions of euro

allocation 2002-2004SAPARD

2004-2006SPO i RDP

2007-2013RDP

TOTAL

mln euro

Industrial 1 236 3 166 12 384 16 786

Social 168 1 317 7 452 8 936

Environmental 257 1 752 4 958 6 966

Total 1 661 6 234 24 794 32 689

%

Industrial 75 51 50 51Social 10 21 30 27

Environmental 15 28 20 22

Page 18: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

50%30%

20%

Polish RDP 2014-2020

Page 19: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Research methods - The criteria for allocation

Moving away from the classification/division in the axes ofthe RDP to own category on the basis of:

– 1. THE TARGET GROUP OF BENEFICIARIES:a) residents of rural areas,

b) farms and forest owners.

c) an agri-food industry,

– 2. THE TARGET OF THE SUPPORT:a) improving the fixed assets (capital),

b) to improve human and social capital.

c) improving the environment.

Page 20: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Allocation of EU fundsfor rural development programs

1 Improvement of assets in rural areas2 Improving the human and social capital in rural areas

3 Improving assets only or mainly on farms4 Improving the human and social capital on farms

5 Improvement of assets of food processing industry

6 The afforestation and improving of the environment

Page 21: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Bułgaria Czechy

axis 1

111 Vocational training and information actions 4 102 413 694 12 523 785

112 Setting up of young farmers 3 102 413 694 57 659 843

113 Early retirement 4 34 377 370

114 Use of advisory services 4 19 752 279

121 Modernisation of agricultural holdings 3 572 311 816 288 618 615

122 Improvement of the economic value of forests 5 24 097 340 25 543 479

123 Adding value to agricultural and forestry products 6 240 973 396 117 391 575

124 Cooperation for development of new products 3, 6 39 542 381

125 Infrastructure related to the development and adaptation ... 3 228 386 772

126 Restoring agricultural production potential 3131 Meeting standards based on Community legislation 5132 Participation of farmers in food quality schemes 4133 Information and promotion activities 4141 Semi-subsistence farming 3 144 584 038

142 Producer groups 3 12 048 670 16 726 398

143 Provision of farm advisory and extension services 4

axis 2

211

Natural handicap payments to farmers in mountain areas +Payments to farmers in areas with h., other than mountain(HNV)

3

213Natura 2000 payments and payments linked to Directive2000/60/EC 5

214 Agri-environment payments 5215 Animal welfare payments 5216 Non-productive investments 5

221First afforestation of agricultural land + First afforestation ofnon-agricultural land 5

222 First establishment of agroforestry systems on ... 5225 Forest-environment payments 5226 Restoring forestry potential and introducing prevention ... 5227 Non-productive investments 5

axis 3

311 Diversification into non-agricultural activities 3312 Support for business creation and development 1321 Basic services for the economy and rural population 1

322Village renewal and development + Encouragement of tourismactivities + Conservation and upgrading of the rural heritage

1

331 Training and information 2341 Skills acquisition, animation and implementation of ... 2

axis 4 411Implementing local development strategies. Competitiveness +Environment/land + Quality of life 2

421 Implementing cooperation projects 2431 Running the local action group, acquiring skills and ... 2

Page 22: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Wykres odległości wiązania względem etapów wiązaniaOdległ. euklidesowa

WiązaniaOdległ.

0 3 6 9 12 15 18 21 24 27

Krok

-2

0

2

4

6

8

10

12

14

16

Odleg

łość w

iąz.

k clusters - agglomeration method of grouping

Diagram drzewaMetoda Warda

Odległ. euklidesowa

Wiel

kaBr

ytania

Szwe

cjaIrla

ndia

Dania

Rumu

niaMa

ltaNi

derla

ndy

Niem

cyPo

lska

Litwa

Łotw

aBu

łgaria

Słow

acja

Portu

galia

Słow

enia

Cypr

Hisz

pania

Włoc

hyGr

ecja

Austr

iaEs

tonia

Finlan

diaW

ęgry

Repu

blika

Czes

kaLu

ksem

burg

Fran

cjaBe

lgia

0

2

4

6

8

10

12

14

16

Odleg

łość w

iąz.

Page 23: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

cluster analysis

Denmark

Ireland

Sweden

UnitedKingdom

Belgium

France

Luxembourg

Finland

Czech Republic

Germany

Estonia

Italy

Hungary

Netherlands

Austria

Greece

Cyprus

Latvia

Lithuania

Portugal

Slovenia

Slovakia

Bulgaria

Poland

Romania

Spain

Page 24: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Allocation of EU funds

Countryassets in

rural areas

human andsocial capitalin rural areas

assets onlyor mainly on

farms

human andsocial capital

only ormainly on

farms

assets offood

processingindustry

afforestationand

improving ofthe

environmentUE 27 7,8 9,2 37,6 4,4 5,1 31,0

Denmark IrelandSweden UnitedKingdom

5,0 9,7 18,8 6,2 2,5 60,8

Greece CyprusLatvia LithuaniaPortugal SloveniaSlovakia BulgariaPoland RomaniaSpain

10,0 8,7 39,3 5,3 7,8 26,6

Belgium FranceLuxembourg FinlandCzech RepublicGermany EstoniaItaly HungaryNetherlands Austria

7,8 9,2 36,0 3,2 3,5 33,5

Malta 11,8 26,1 37,0 6,6 7,1 11,4

Page 25: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Indicators of production and economicsituation of agriculture3

21

2,1

14,3

3,9

02468

10121416

1 2 3

AWU/ 100 ha UAAAverage farm size (ha)

24,2

5,7

30,7

23,8

5,1

19,6

05

101520253035

1 2 3

GVA / gospodarstwo GVA / AWU

48,1

6,5

33,2

0

10

20

30

40

50

60

1 2 3

ha U

AA

Cluster

farm

Page 26: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Agri-environmental indicators

4,2

2,6 2,4

00,5

11,5

22,5

33,5

44,5

1 2 3

%

Cluster

37,4

56,952,3

0

10

20

30

40

50

60

1 2 3

%

Cluster

38,5

30,9 29,5

05

1015202530354045

1 2 3

%

Cluster

permanent grassland in UAA share of cereals in arable land

share of organic farming in UAA114,0

57,0

77,0

0

20

40

60

80

100

120

1 2 3

DJP

/100

haA

UA

A

Cluster

Stocking density

321

Page 27: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

development indicators321

33,5

11,6

29,6

05

10152025303540

1 2 3

thou

s.eu

ro

GDP / capita109,5

44,0

85,5

0

20

40

60

80

100

120

1 2 3

%GDP on rural areas

PKB/capita in UE = 100

share of rural areas in totalshare of the population from rural areas

46,1

31,0

11,9

0

10

20

30

40

50

1 2 3

%

81,0

55,6

31,6

0

20

40

60

80

100

1 2 3

%

Page 28: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

ConclusionsThe specificity of the national allocation of funds under the rural

development programs corresponds to the level ofdevelopment of individual Member States and the resultingneeds of the different dimensions of sustainability inagribusiness and rural areas.

An important role in determining the allocation of funds playeda time of the accessions to the European Union.

The most important criterion influencing the allocation ofII pillar of the CAP was the wealth of rural societies and thecompetitiveness of agri-food sector

Page 29: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

cluster analysis

Bulgaria

Romania

Czech Republic

Estonia

Hungary

Latvia

Lithuania

Poland

Slovenia

Slovakia

Page 30: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Allocation of EU fundscluster analysis

Direction

Cluster 1Bulgaria, Romania

Cluster 2Lithuania, Latvia,Poland, Slovakia,

Slovenia

Cluster 3Czech Republic,Estonia, Hungary

1 000 EUR % 1 000 EUR % 1 000 EUR %1. Improvement of real capital in

rural areas2 881 160 28,4 3 039 445 16,2 910 696 12,6

2. Improvement of human andsocial capital in rural areas 408 182 4,0 867 599 4,6 476 360 6,6

3. Improvement of real capitalonly or mostly in farms 3 826 434 37,7 8 095 204 43,1 2 873 352 39,6

4. Improvement of human andsocial capital only or mostly infarms

97 719 1,0 2 079 884 11,1 138 607 1,9

5. Improvement of theenvironment and afforestation 1 797 919 17,7 3 590 493 19,1 2 462 121 34,0

6. Improvement of real capital inagri-food processing 1 137 876 11,2 1 094 623 5,8 383 710 5,3

Total 10 149 290 100,0 18 767 243 100,0 7 246 999 100,0

Page 31: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Allocation of EU fundscluster analysis

Direction

Cluster 1Bulgaria, Romania

Cluster 2Lithuania, Latvia,Poland, Slovakia,

Slovenia

Cluster 3Czech Republic,Estonia, Hungary

1 000 EUR % 1 000 EUR % 1 000 EUR %1. Improvement of real capital in

rural areas2 881 160 28,4 3 039 445 16,2 910 696 12,6

2. Improvement of human andsocial capital in rural areas 408 182 4,0 867 599 4,6 476 360 6,6

3. Improvement of real capitalonly or mostly in farms 3 826 434 37,7 8 095 204 43,1 2 873 352 39,6

4. Improvement of human andsocial capital only or mostly infarms

97 719 1,0 2 079 884 11,1 138 607 1,9

5. Improvement of theenvironment and afforestation 1 797 919 17,7 3 590 493 19,1 2 462 121 34,0

6. Improvement of real capital inagri-food processing 1 137 876 11,2 1 094 623 5,8 383 710 5,3

Total 10 149 290 100,0 18 767 243 100,0 7 246 999 100,0

1/3

1/3

55%

Page 32: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

RD development indicators

Population density on rural areas(inhab/km2)

GDP on rural areasGDP/capita in UE = 100

share of rural areas in totalshare of the population from rural areas

321

50,052,054,056,058,060,062,064,066,068,0

1 2 3Cluster

39,040,041,042,043,044,045,046,047,048,0

1 2 3Cluster

28,529,029,530,030,531,031,532,032,533,0

1 2 3Cluster

0,010,020,030,040,050,060,070,080,090,0

1 2 3Cluster

Page 33: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Indicators of production and economicsituation of agriculture

321

AWU/ 100 ha UAAAverage farm size (ha)

GVA / farm [000 €]

0,05,0

10,015,020,025,030,035,040,045,0

1 2 3Cluster

0,02,04,06,08,0

10,012,014,016,018,0

1 2 3Cluster

0,0

2000,0

4000,0

6000,0

8000,0

10000,0

12000,0

14000,0

1 2 3Cluster

GVA / 1 ha UAA [000 €]

0,050,0

100,0150,0200,0250,0300,0350,0400,0450,0500,0

1 2 3Cluster

Page 34: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Indicators of production and economicsituation of agriculture

321

GVA per AWU [000 €]

0,01,02,03,04,05,06,07,08,09,0

10,0

1 2 3Cluster

Page 35: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Direct payments(in the financial framework 2007-2013)

321

Direct payments per ha UAA[€]

Direct payments per farm[€]

Direct payments / AWU[€]

0

5.000

10.000

15.000

20.000

25.000

1 2 3Cluster

0200400600800

1.0001.2001.4001.600

1 2 3Cluster

02.0004.0006.0008.000

10.00012.00014.00016.00018.00020.000

1 2 3Cluster

Page 36: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Direct support for farmersto ensure stability and predictability to farmers

The future CAPThere will be EU involvement at each stageto set rules, assess plans, monitor progressand ensure delivery

Obligation for Member States to reserve part of thedirect payments to farmers for those participating inspecific eco-schemes

Page 37: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Source: Own elaboration, 2006-2013

Current productionexpenditure

investmentexpenditure

non-productiveexpenditure

The distribution of direct paymentsto the various directions of their use

Page 38: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

Demand factors - domestic demand

Growth in individual consumption of food and non-alcoholic beveragesin the household sector (previous year = 100, constant prices)

Źródło: Statistical Yearbook of the Republic of Poland, GUS, Warszawa

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 20172017

2005

=100

2010

=100

101,4 103,7 101,6 102,4 100,1 100,1 99,0 101,0 101,1 98,3 102,2 103,8 101,8 108,2 100,1

1998 1999 2000 2001 2002 2003 2004

102,7 101,7 101,8 102,1 101,4 100,0 101,6

Page 39: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

CAP 2020+the future CAP retains both pillarsmore flexibility and simplificationmore oriented to resultsmore balanced distribution of payments:

- compulsory capping at farm level- degressive payments decreasing with farm size

reinforced link with environmental objectives: voluntary eco-schemes introducedin the budget for direct payments; greater flexibility for Member States

new crisis reserve

MFF 2021/2027 includes 365 billion EUR for the CAP in current prices -5% (28.5%MFF); 324,2 billion EUR in 2018 constant prices -12%

Page 40: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia

40

CAP sub ceilings in the MFF (commitments in millions – current prices)

CAP sub ceilings in the MFF (commitments in millions – constant 2018 prices )

The transformation from current in constant prices has been undertaken using the fixed 2% annual deflator

Page 41: Faculty of Economic and Social Sciences Department of ......WielkaBrytania Szwecja Irlandia Dania Rumunia Malta Niderlandy Niemcy Polska Litwa Łotwa Bułgaria Słowacja Portugalia