The 2013 Annual Economic Report on the EU Fishing Fleet ...13-15... · the 2013 annual economic...

The 2013 Annual Economic Report on the EU Fishing Fleet

(STECF 13-15)

Scientific, Technical and Economic Committee for Fisheries (STECF)

Edited by

John Anderson Natacha Carvalho

ThisreportwasreviewedbytheSTECFduringits43rdplenarymeeting

heldfrom8to12July2013inCopenhagen,Denmark

EUR 26158 EN - 2013

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European Commission Joint Research Centre Institute for the Protection and Security of the Citizen

Contact information STECF secretariat Address: TP 051, 21027 Ispra (VA), Italy E-mail: [email protected] Tel.: 0039 0332 789343 Fax: 0039 0332 789658

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JRC 84745

EUR 26158 EN

ISBN 978-92-79-33184-8

ISSN 1831-9424

doi:10.2788/23331

Luxembourg: Publications Office of the European Union, 2013

European Union, 2013

Reproduction is authorised provided the source is acknowledged

How to cite this report:

Scientific, Technical and Economic Committee for Fisheries (STECF) The 2013 Annual Economic Report on the EU Fishing Fleet (STECF-13-15). 2013. Publications Office of the European Union, Luxembourg, EUR 26158 EN, JRC 84745, 302 pp.

Printed in Italy

https://stecf.jrc.ec.europa.eu/homehttp://ipsc.jrc.ec.europa.eu/http://www.jrc.ec.europa.eu/

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CONTENTS

LIST OF TABLES 4LIST OF FIGURES 7THE 2013 ANNUAL ECONOMIC REPORT ON THE EU FISHING FLEET (STECF-13-15) 10STECF OBSERVATIONS 10STECF CONCLUSIONS 10Expert Working Group report 12EXECUTIVE SUMMARY 131. INTRODUCTION 15

1.1. Terms of Reference for STECF EWG-13-03 & 13-04 15

1.2. Participants at EWG 13-03 and 13-04 16

2. EU FLEET OVERVIEW 17

2.1. Fleet Structure 19

2.2. Socio economic structure of the EU Fleet 22

2.3. Fishing Activity and Production 25

2.4. Economic Performance of the EU fleet 31

2.5. Main drivers and trends affecting the economic performance of the EU fleet 46

2.6. Summary of National Chapters 47

3. EU FLEET ECONOMIC PERFORMANCE PROJECTIONS 2012 & 2013 60

3.1. EIAA MODEL PROJECTIONS FOR NORTH ATLANTIC FISHERIES 61

3.2. BEMTOOL MODEL - PROJECTIONS FOR MEDITERRANEAN FISHING FLEETS 71

4. ECONOMIC TRENDS FOR FLEETS UNDER LONG TERM MANAGEMENT PLANS 85

4.1. Introduction 85

4.2. Methodology 86

4.3. Results 87

5 NATIONAL CHAPTERS 106

5.1 BELGIUM 107

5.2 BULGARIA 112

5.3 DENMARK 118

5.4 ESTONIA 124

5.5 FINLAND 129

5.6 FRANCE 134

5.7 GERMANY 142

5.8 ITALY 148

5.9 IRELAND 155

5.10LATVIA 162

5.11LITHUANIA 168

5.12MALTA 175

5.13NETHERLANDS 182

5.14POLAND 189

5.15PORTUGAL 196

5.16ROMANIA 203

5.17SLOVENIA 210

5.18SPAIN 216

5.19SWEDEN 221

5.20UNITED KINGDOM 227

7. REGIONAL ANALYSIS 232

7.1. BALTIC SEA 233

7.2. Mediterranean and Black Sea 239

7.3. North Atlantic 248

7.4. North Sea and Eastern Arctic area 257

7.5. Long-distance fishing regions 266

8. AER REPORT METHODOLOGY 273

8.1. Introduction 273

8.2. Economic performance indicator calculations 275

8.3. Economic performance indicator classification 276

8.4. Economic performance projections 277

8.5. Disaggregation of economic data 277

9 List of Participants EWG 13-03 and 13-04 27910 List of Background Documents 281ANNEX TABLES 282

LIST OF TABLES

Table2.1MSShareofEUfleetandpercentagechange20082011forthemaincapacityindicators 20Table2.2MainindicatortotalsforEUMemberStatesfishingfleetsin2011 37Table2.3Mainindicatorsbyfishinggearin2011:A)alldatasubmittedbyfleetsegmentandB)subsetoffleetsegmentdata

submitted. 40Table3.1:Selectedfleetsegments 61Table3.2Fleetcoverageforeachmemberstate 62Table3.3EIAAmodelEconomicperformanceprojectionsatnationalfleetlevelfor2012 64Table3.4EIAAmodelEconomicperformanceprojectionsatnationalfleetlevelfor2013 64Table3.520122013Economicperformanceprojections forkeyBelgianandDanish fleetsegmentsusing theEIAAmodel,

million 65Table3.620122013EconomicperformanceprojectionsforkeyEstonianandFinnishfleetsegmentsusingtheEIAAmodel66Table3.720122013EconomicperformanceprojectionsforkeyFrenchandUKfleetsegmentsusingtheEIAAmodel 67Table3.820122013EconomicperformanceprojectionsforkeyIrishandLatvianfleetsegmentsusingtheEIAAmodel 68Table3.920122013EconomicperformanceprojectionsforkeyLithuanianandDutchfleetsegmentsusingtheEIAAmodel

69Table3.1020122013Economicperformanceprojections forkeyPortugueseandSwedish fleet segmentsusing theEIAA

model 70Table4.1Significanceanddependenceofthe10mainfleetstargetingstocksundertheBalticcodmanagementplan 87Table4.2Significanceanddependenceofthe10mainfleetstargetingstocksundertherecoveryplanforcod 92Table4.3FandSSBreferencepointsforthemanagementofthetwostocksunderthemanagementplan 93Table4.4Significanceanddependenceofthe10mainfleetstargetingstocksunderthemanagementplanforNorthSeasole

andplaice 94Table4.5Significanceanddependenceofthe10mainfleetstargetingstocksunderthemanagementplanforsole,Bayof

Biscay 97Table4.6Significanceanddependenceofthe10mainfleetstargetingstocksunderthemanagementplanforsole,Western

Channel 98Table4.7Significanceanddependenceofthe10mainfleetstargetingtheNorthernhakestocks 99Table4.8 Significanceanddependenceof themain fleets targeting stocksunder the SouthernhakeandNorway lobster

recoveryplan 102Table4.9Significanceanddependenceofthe10mainfleetstargetingstocksundertheEuropeaneelrecoveryplan 103Table4.10Significanceanddependenceofthe10mainfleetstargetingtheWestofScotlandherringstock 105Table5.1Belgiannationalfleetstructure,activityandproductiontrends:20082013. 107Table5.2Belgiumnationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 109Table5.3MainsocioeconomicperformanceindicatorsbyfleetsegmentintheBelgiumnationalfishingfleetin2011. 111Table5.4Bulgariannationalfleetstructure,activityandproductiontrends:20082013. 112Table5.5Bulgariannationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 114Table5.6MainsocioeconomicperformanceindicatorsbyfleetsegmentintheBulgariannationalfishingfleetin2011 117Table5.7Danishnationalfleetstructure,activityandproductiontrends:20082013. 118Table5.8Danishnationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 120Table 5.9Main socioeconomic performance indicators by fleet segment in the Danish national fishing fleet in 2011,

percentagechangeto2010. 123Table5.10Estoniannationalfleetstructure,activityandproductiontrends:20082013. 124Table5.11Estoniannationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 126Table5.12MainsocioeconomicperformanceindicatorsbyfleetsegmentintheEstoniannationalfishingfleetin2011. 128Table5.13Finishnationalfleetstructure,activityandproductiontrends:20082013. 129Table5.14Finnishnationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 131

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Table 5.15Main socioeconomic performance indicators by fleet segment in the Finnish national fishing fleet in 2011,percentagechangeto2010. 133

Table5.16Frenchnationalfleetstructure,activityandproductiontrends:20082013. 134Table5.17Frenchnationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 136Table5.18MainsocioeconomicperformanceindicatorsbyfleetsegmentintheFrenchnationalfishingfleetin2011. 140Table5.19Germannationalfleetstructure,activityandproductiontrends:20082013. 142Table5.20Germannationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 144Table5.21MainsocioeconomicperformanceindicatorsbyfleetsegmentintheGermannationalfishingfleetin2011. 147Table5.22Italiannationalfleetstructure,activityandproductiontrends:20082013. 148Table5.23Italiannationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 150Table 5.24Main socioeconomic performance indicators by fleet segment in the Italian national fishing fleet in 2011,

percentagechangeto2010. 154Table5.25Irishnationalfleetstructure,activityandproductiontrends:20082013. 155Table5.26Irishnationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 158Table 5.27 Main socioeconomic performance indicators by fleet segment in the Irish national fishing fleet in 2011,

percentagechangeto2010. 161Table5.28Latviannationalfleetstructure,activityandproductiontrends:20082013. 162Table5.29Latviannationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 164Table 5.30Main socioeconomic performance indicators by fleet segment in the Latvian national fishing fleet in 2011,

percentagechangeto2010. 167Table5.31Lithuaniannationalfleetstructure,activityandproductiontrends:20082013. 168Table5.32Lithuaniannationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 170Table5.33MainsocioeconomicperformanceindicatorsbyfleetsegmentintheLithuaniannationalfishingfleetin2011 174Table5.34Maltesenationalfleetstructure,activityandproductiontrends:20082013. 175Table5.35Maltesenationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 177Table5.36MainsocioeconomicperformanceindicatorsbyfleetsegmentintheMaltesenationalfishingfleetin2011. 181Table5.37Dutchnationalfleetstructure,activityandproductiontrends:20082013. 182Table5.38Dutchnationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 184Table 5.39Main socioeconomic performance indicators by fleet segment in the Dutch national fishing fleet in 2011,

percentagechangeto2010. 188Table5.40Polishnationalfleetstructure,activityandproductiontrends:20082013. 189Table5.41Polishnationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 192Table 5.42Main socioeconomic performance indicators by fleet segment in the Polish national fishing fleet in 2011,

percentagechangeto2010. 195Table5.43Portuguesenationalfleetstructure,activityandproductiontrends:20082013. 196Table5.44Portuguesenationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 198Table5.45Mainsocioeconomicperformance indicatorsbyfleetsegment inthePortuguesenationalfishingfleet in2011.

201Table5.46Romaniannationalfleetstructure,activityandproductiontrends 203Table5.47Romaniannationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 205Table5.48Main socioeconomicperformance indicatorsofmain fleet segments in theRomaniannational fishing fleet in

2011,percentagechangeto2010. 209Table5.49Sloveniannationalfleetstructure,activityandproductiontrends:20082013. 210Table5.50Sloveniannationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 212Table5.51Main socioeconomicperformance indicatorsby fleet segment in theSloveniannational fishing fleet in2011,

percentagechangeto2010. 215Table5.52Spanishnationalfleetstructure,activityandproductiontrends:20082013. 216Table5.53Spanishnationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 217Table5.54MainsocioeconomicperformanceindicatorsbyfleetsegmentintheSpanishnationalfishingfleetin2011 219Table5.55Swedishnationalfleetstructure,activityandproductiontrends:20082013. 221

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Table5.56Swedishnationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 223Table5.57MainsocioeconomicperformanceindicatorsbyfleetsegmentintheSwedishnationalfishingfleetin2011 226Table5.58UKnationalfleetstructure,activityandproductiontrends:20082013. 227Table5.59UKnationalfishingfleeteconomicperformancein2011andprojectionsfor2012. 229Table5.60MainsocioeconomicperformanceindicatorsbyfleetsegmentintheUKnationalfishingfleetin2011 232Table7.1EUBalticSeafleeteconomicperformancebyMemberStatein2011 236Table7.2EUBalticSeafleeteconomicperformancebygeartypein2011 236Table7.3EUBalticSeafleeteconomicperformancebyfleetsegmentin2011 238Table7.4EUMediterraneanandBlackSeafleeteconomicperformancebyMemberStatein2011 244Table7.5EUMediterraneanandBlackSeafleeteconomicperformancebygeartypein2011 244Table7.6EUMediterraneanandBlackSeafleeteconomicperformancebyfleetsegmentin2011 245Table7.7EUNorthAtlanticfleeteconomicperformancebyMemberStatein2011 252Table7.8EUNorthAtlanticfleeteconomicperformancebygeartypein2011 252Table7.9EUNorthAtlanticfleeteconomicperformancebyMemberStatein2011 253Table7.10EUNorthSeaandEasternArcticfleeteconomicperformancebyMemberStatein2011 260Table7.11EUNorthSeaandEasternArcticfleeteconomicperformancebygeartypein2011 260Table7.12EUNorthSeaandEasternArcticfleeteconomicperformancebyfleetsegmentin2011 262Table7.13EUOtherRegionsfleeteconomicperformancebyfleetsegmentin2011 272Table8.1AER2013Fleeteconomicdatacallcontentsforyears20082013. 274Table8.2InflationandnominalLTinterestratesbyEUMemberState20082012 276Table8.3Developmenttrendclassification 276Table8.4Profitabilityclassification 276

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LIST OF FIGURES

Figure2.1EUfishingfleetcapacitytrends:20082012. 19Figure2.2EUfishingfleetcapacitybyMemberState:Fleetregisterdata,2011 19Figure2.3EUfleetcapacitytrendsbymainfishingactivity20082011 21Figure2.4EUfishingfleetcapacitybymainfishinggear,2011 21Figure2.5EUfishingfleetcapacitybyvessellengthgroup,2011 22Figure2.6EUfleetemploymentandaveragewageindicators 22Figure2.7EUfleetemployment(top)andaveragewage(bottom)byMSin2011 23Figure2.8EUfleetemploymentindicators,2011 24Figure2.9EUfleetemploymentandaveragewageindicatorsbyfishingactivity 24Figure2.10EUfleetemploymentandwageindicators,2011. 25Figure2.11EUfleetfishingeffortindicators 26Figure2.12Fishingeffortindicatorsbygeartypeandvessellengthgroups 26Figure2.13EUfleetlandingsweightandvaluetrends:EurostatlandingsdatafortheEUfleet20022011 27Figure2.14EULandingtrends:20082012 27Figure2.15EUfleetaveragefirstsalespricetrendsforkeyspecies 28Figure2.16EUlandingsweightandvaluebyMemberState:2011 28Figure2.17EUfishingfleetlandingsperuniteffort(LPUE):20082011 28Figure2.18Trendsinlandingsweight(left)andvalue(right)bymainfishingoperation:20082011 29Figure2.19EUfleetfishinglandingsperdayatsea(LPUE)bymainfishingactivity:20082011 29Figure2.20EUfleetlandingsinweightandvalue,andLPUEbymainfishinggear(top)andvessellengthgroup(bottom)in

2011. 30Figure 2.21 Fuel consumption per tonne of live weight landed (litres/tonne) and fuel consumption per landed value

(litres/thousand),fortheEUfleetfishingandbymainfishingactivity:20082011 30Figure2.22Fuelconsumptionpertonneofliveweightlanded(litres/tonne)byMSfishingfleets:20082011 30Figure2.23Fuelconsumptionper tonneof liveweight landed (litres/tonne)bymain fishinggear for theEU fleet fishing:

20082011 31Figure2.24Fuelconsumptionpertonneofliveweightlanded(litres/tonne)byvessellengthgroupfortheEUfleetfishing:

20082011 31Figure2.25EUfleetincomebreakdown,2011 32Figure2.26EUfleetcostitemstrends:20082011 32Figure2.27EUfleetcostitemstrends:20082011 33Figure2.28Main trends in incomeandcosts (left)and fueland labourcostsasa%ofoperationcosts (right) for theEU

fishingfleet:20082011 33Figure2.29TrendinfuelcostsasapercentageoftotaloperatingcostsbyMSfishingfleets:20082011 34Figure2.30TrendsinlabourcostsasapercentageoftotaloperatingcostsbyMSfishingfleets:20082011 34Figure2.31Fuelcostsandlabourcostsasapercentageofoperatingcosts(%)bymainfishingactivity:20082011 34Figure2.32Coststructurebymainfishinggearandvessellength:2011 35Figure2.33EUfleeteconomicperformanceindicators20082011 35Figure2.34EUMemberStateseconomicperformanceindicatorsin2011. 36Figure2.35EUfleeteconomicperformanceindicatorsbymainfishingoperation:2011 38Figure2.36EUfleeteconomicperformancebymobileandstaticgearsegments 39Figure2.37Percentageofmobileandstaticgearsegmentsmakinglosses 39Figure2.38EUfleeteconomicperformancetrendsbymaingeartypemobile 41Figure2.39EUfleeteconomicperformancetrendsbymaingeartypestatic 42

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Figure2.40LabourproductivityintheEUfleetandbymainfishingactivity:20082011 43Figure2.42Labourproductivity(GVA/FTE)trendsbyMSfleet:20082011 43Figure2.43Labourproductivity(GVA/FTE)trendsbymainfishinggearandvessellength:20082011 43Figure2.48EUMemberStatesfleeteconomicperformance20082011andforecastsfor2012:Income 44Figure2.49EUMemberStatesfleeteconomicperformance20082011andforecastsfor2012:GVAasa%ofIncome 44Figure2.50EUMemberStatesfleeteconomicperformance20082011andforecastsfor2012:Grossprofitasa%ofincome

45Figure2.51EUMemberStatesfleeteconomicperformance20082011andforecastsfor2012:Netprofitasa%ofincome45Figure3.1Italy:Projectionsfor2012and2013forthemaineconomicvariables 72Figure3.2.ItalyDTSVL1218(left),DTSVL1824(right)andPGVL0612(bottom):Projectionsfor2012and2013forthemain

economicvariables. 73Figure3.3Malta:Projectionson2012and2013onthemaineconomicvariables 74Figure3.4.MaltaDTSVL1824(left)andHOKVL1824(right):Projectionson2012and2013onthemaineconomicvariables75Figure3.5Slovenia:Projectionson2012and2013onthemaineconomicvariables 75Figure3.6SloveniaDFNVL0612(left)andPSVL1218(right):Projectionson2012and2013onthemaineconomicvariables76Figure4.1RepresentativenessofselectedfleetstargetingcodintheBalticSea 88Figure4.2Landingscompositionbyvalue(20082011)forselectedfleetstargetingcodintheBalticSea 89Figure4.3Codlandingsweightandvalueforselectedfleetsin20082012 89Figure4.4CapacityandeffortdevelopmenttrendsforselectedfleetsundertheBalticcodmanagementplan:20082011 90Figure4.5EconomicperformanceindicatorsforselectedfleetsundertheBalticcodmanagementplan:20082011 90Figure4.6Maintrends20082011:leftlandingsweightofsoleandplace;rightLandingsvalueofsoleandplace,forthe

topfourselectedfleets. 94Figure4.7CompositionoflandingsforselectedfleetstargetingsoleandplaiceintheNorthSea. 95Figure4.8Soleandplaicelandingsweightandvalueforselectedfleetsin20082012 95Figure4.9CapacityandeffortdevelopmenttrendsforselectedfleetsunderthemanagementplanforNorthSeasoleand

plaice:20082011 95Figure4.10EconomicperformanceindicatorsforselectedfleetsunderthemanagementplanforNorthSeasoleandplaice:

20082011 96Figure4.11InvestmentforselectedfleetsunderthemanagementplanforNorthSeasoleandplaice:20082011 96Figure4.12RepresentativenessofselectedfleetstargetinghakeinKattegat,Skagerrak,NorthSea,theChannelandWestof

Scotland. 100Figure4.13Landingscompositionfortheselectedfleetstargetinghake inKattegat,Skagerrak,NorthSea,theChanneland

WestofScotland. 100Figure4.14Hakelandingsweightandvalueforselectedfleets:20082012 101Figure4.15CapacityandeffortdevelopmentforselectedfleetstargetingtheNorthernhakestock:20082011 101Figure4.16EconomicperformanceforselectedfleetstargetingtheNorthernhakestock:20082011 101Figure4.17Landingscompositionforselectedfleetstargetingeel:byweight(left)andvalue(right) 104Figure4.18Eellandingsweightandvalueforselectedfleets:20082011 104Figure5.1Belgianfleetmaintrends20082012/13 108Figure5.2Belgiummaineconomicperformancetrends20082012: 110Figure5.3Bulgarianfleetmaintrends20082012/13 113Figure5.4Bulgarianfleetmaineconomicperformancetrends20082012. 115Figure5.5Danishfleetmaintrends20082012/13. 119Figure5.6Danishfleetmaineconomicperformancetrends20082012 121Figure5.7Estonianfleetmaintrends20082012/13 125Figure5.8Estonianfleetmaineconomicperformancetrends20082012. 127Figure5.9Finnishfleetmaintrends20082012/13. 130Figure5.10Finnishfleetmaineconomicperformancetrends20082012: 132Figure5.11Frenchfleetmaintrends20082012/13 135

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Figure5.12Frenchfleetmaineconomicperformancetrends20082012 137Figure5.13Germanfleetmaintrends20082012/13. 143Figure5.14Germanfleetmaineconomicperformancetrends20082012. 145Figure5.15Italianfleetmaintrends20082012/13 149Figure5.16Italianfleetmaineconomicperformancetrends20082012. 151Figure5.17Irishfleetmaintrends20082012/13 156Figure5.18Irishfleetmaineconomicperformancetrends20082012 159Figure5.19Latvianfleetmaintrends20082012/13 163Figure5.20Latvianfleetmaineconomicperformancetrends20082012 165Figure5.21Lithuanianfleetmaintrends20082012/13 169Figure5.22Lithuanianfleetmaineconomicperformancetrends20082012 171Figure5.23Maltesefleetmaintrends20082012/13 177Figure5.24Maltesefleetmaineconomicperformancetrends20082012 178Figure5.25Dutchfleetmaintrends20082012/13 183Figure5.26Dutchfleetmaineconomicperformancetrends20082012 185Figure5.27Polishfleetmaintrends20082012/13 190Figure5.28Polishfleetmaineconomicperformancetrends20082012 193Figure5.29Portuguesefleetmaintrends20082012/13 197Figure5.30Portuguesefleetmaineconomicperformancetrends20082012 199Figure5.31Romanianfleetmaintrends20082013 204Figure5.32Romanianfleetmaineconomicperformancetrends20082013 206Figure5.33Slovenianfleetmaintrends20082012/13 211Figure5.34Sloveniafleetmaineconomicperformancetrends20082012 213Figure5.35Spanishfleetmaintrends20082012/13 216Figure5.36Spanishfleetmaineconomicperformancetrends20082012 218Figure5.37Swedishfleetmaintrends20082012/13 222Figure5.38Swedishfleetmaineconomicperformancetrends20082012 224Figure5.39UKfleetmaintrends20082012/13 228Figure5.40UKfleetmaineconomicperformancetrends20082012 230Figure7.1EUBalticSeafleeteffortandlandingsbyMS,geartypeandlengthclassin2012 233Figure7.2EUBalticSeafleetvolumeandvalueoftop5specieslanded:20082012 234Figure7.3EUMediterraneanandBlackSeafleetcapacityandemployment2011 239Figure7.4EUMediterraneanandBlackSeafleeteffortandlandingsin2011 240Figure7.5EUMediterranean&BlackSeafleetvolumeandvalueoftop5specieslanded:20082012 241Figure7.6EUNorthAtlanticfleeteffortandlandingsin2011 248Figure7.7EUNorthAtlanticfleetweightandvaluelandedoftop5species:20082012 249Figure7.8EUNorthSeaandEasternArcticfleeteffortandlandingsin2011 257Figure7.9EUNorthSeaandEasternArcticfleetweightandvaluelandedoftop5species:20082012 258Figure7.10FAOfor2011(catches)andDCF(weightoflandings)datacomparison. 266Figure7.11Otherfishingregionsfleeteffortandlandingsin2011) 267Figure7.12EUOtherRegionscatchesbyfishingareasin2011(FAO). 268Figure7.13EUOtherRegionslandingsbytop5speciesin20082011(DCF). 269Figure7.14EUOtherRegionscatchesbyfishspeciesin2010and2011(accordingtoFAO). 270

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SCIENTIFIC,TECHNICALANDECONOMICCOMMITTEEFORFISHERIES(STECF)

THE 2013 ANNUAL ECONOMIC REPORT ON THE EU FISHING FLEET (STECF-13-15)

THISREPORTWASREVIEWEDDURINGTHEPLENARYMEETINGHELDINCOPENHAGEN812JULY2013

RequesttotheSTECFSTECF isrequestedtoreviewthereportoftheSTECFExpertWorkingGroupmeetings,evaluatethefindingsandmakeanyappropriatecommentsandrecommendations.

BackgroundFollowingthe2013DCFcallforeconomicdataontheEUfishingfleet,EWG1303&1304wasrequestedtoanalysethedataandcommentontheeconomicperformanceoftheEUandMemberStatefishingfleetsbetween2008and2013.

STECF OBSERVATIONS

STECFnotesthatsomeMemberStatesdidnotprovideallthedatarequestedunderthe2013fleeteconomicdatacallissuedbyDGMARE.Furthermore,thequality(questionableaccuracy)ofsomeMemberStatesdatasubmissionsremainsa concern.Missingandquestionabledata compromises theabilityof theSTECFEWG toproducecomprehensiveandaccurateanalysesoffleeteconomicperformanceatthenational,regionalandEUlevel,andtoundertaketheadditionalanalysesrequested.

AttherequestsofDGMARE,the2013AERcontainsmorequalitativeinformationandanalysisondriversandtrendsinfleeteconomicperformancesuchascapacity imbalance,discards/highgrading,MPAs,poorstockrecruitment/stockrecoverysituations,marketprices, ITQssystems,certification,decommissioningetc) thanpreviousAERs.FurthermoretheReportcontainspredictionsandforecastsoffutureeconomicperformanceundertakenusingtheEIAAandBEMTOOLmodels.

InresponsetoafurtherrequestfromDGMARE,thereportalsopresentsanassessmentoftheeconomicperformanceofEU fleets targetingnine stocks subject to longtermmanagementplans.Theanalyseswereundertaken to specificallyassesstheeconomicperformanceoffishingvesselswhenfishingsuchstocksatratesconsistentwithMSY.

STECF CONCLUSIONS

STECF concludes that the Annual Economic report prepared by the EWG 1303 and 1304 represents the mostcomprehensiveassessmentoftheperformanceofEUfishingfleetscurrentlyavailable,anddespiteitslimitationsthroughincompleteormissingdatasets,STECFendorsestheReport.

Furthermore,theusefulnessoffutureAnnualEconomicReportsontheperformanceofEUfishingfleetswillremainlessthan optimal unlessMember States submit complete, accurate and timely data submissions in response to annualeconomic data calls. STECF urges the Commission to takewhatever action is necessary to ensure that future datasubmissionfromMemberStatesarecomplete,accurateandaresubmittedwithintimescalespecifiedintheannualdatacalls.

STECFalsoconcludesthatthegeneralrequestformorequalitativeinformationrelatedtheeconomicperformanceofthefleet is relevant, butwith the information submitted through the data call such evaluations have limited value. ForfactorssuchasMPAs,stockrecoverysituation, ITQsystems,certificationetc.more information isneeded inorder tomakeaninformedassessment,anditshouldbecarefullyconsideredwhethersuchrequestsshouldbeapartoftheToRsforfutureEWGs.

Theanalysesundertakentoassesstheeconomicperformanceoffishingfleetstargetingninestockssubjecttolongtermmanagementplansprovedtobecomplex.Difficultiesarosebecauseoftheinabilitytodistinguishbetweeneffectsarisingasadirect resultof themanagementplansand thosearising throughotherexternal factors.Biological, technicalandeconomicfactorsneedtobeincludedinsuchanalyses,cf.previousSTECFEWGs.Theresultsoftheanalysesundertakencannotbeusedinisolationtoevaluatetheconsequencesofthesemanagementplans.

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EXPERT WORKING GROUP REPORT

REPORTTOTHESTECF

EXPERTWORKINGGROUPOFTHE2013ANNUALECONOMICREPORTONTHEEUFISHINGFLEET(EWG1303&1304)

ISPRA,ITALY,812APRIL&37JUNE2013

ThisreportdoesnotnecessarilyreflecttheviewoftheSTECFandtheEuropeanCommissionandinnowayanticipatestheCommissionsfuturepolicyinthisarea.

EXECUTIVE SUMMARY

The2013AnnualEconomicReport(AER)ontheEuropeanUnion(EU)fishingfleetprovidesacomprehensiveoverviewofthe latest informationavailableon the structureandeconomicperformanceofEUMemberStates fishing fleets.Theresults indicate that theprofitabilityof theEU fishing fleet increased in2011compared to2010.The totalamountofGrossValueAdded(GVA),GrossprofitandnetprofitgeneratedbytheEUfishingfleetin2011was3.4billion(a3.6%increasefrom2010),1.29billion(a7%increasefrom2010)and410million(anincreaseof22%from2010).GVAasaproportionofincomehoweverdecreasedby1%comparedto2010whilegrossprofitmarginremainedstableataround18%andnetprofitmargin,estimatedat6%,wasaslightimprovementon2010figures.Economicperformanceestimatesfor2012suggestthatalthoughfleetincomeincreasedinmostMemberStates,GVAasaproportionoftotalincomeonlyincreasedinhalfofthoseMemberStateswhilegrossandnetprofitmarginsonlyincreasedinroughlyonethirdofthoseMember States.Althoughpreliminary economicperformanceprojections for anumberof key fleets in2013 suggestmixedperformance,duetopoorqualityandmissingdataforseveralMemberStatefleetsitwasnotpossibletoprojectanoveralleconomicpositionin2013.

Thisyearspublicationincludes:(1)aneconomicandstructuraloverviewoftheEUfishingfleet;(2)adetailedeconomicand structural overview of the fishing fleets from each EU Member State; (3) qualitative economic performanceassessments for2011and2012 foreachEUMemberState; (4)detailedeconomicandstructuralanalysesofMemberStateskeyfleetsegments;(5)regionalanalysesoftheEUfishingfleet;(6)analysesofkeyfleetsoperatingunderEUfishstockmanagementplansand(7)economicperformanceprojectionsofkeyfleetsegmentsfor2013usingtheEIAAmodelforNorthAtlanticfleetsandtheBEMTOOLmodelforMediterraneanfleets.

In2012thetotalnumberofvesselsintheEUfishingfleetwas82,047,withacombinedgrosstonnage(GT)of1.69milliontonnesandtotalenginepowerof6.36millionkilowatts (kW).TheoverallcapacityoftheEU fleetdecreasedbetween2008and2012(vessels:7%,GT:12%andkW:9%).

In2011, the small scale fleet comprisedalmost56%of theoverallEU fleet in termsofvesselnumbers,6% ingrosstonnage and 25% in engine power. The long distant water fleet, although consisting of less than 1% in number,represented19%oftotalgrosstonnageand7%ofenginepower.Thelargescalefleetrepresented43%ofthefleetinnumber,75%ofthegrosstonnageand68%oftheenginepower.

Thenumberof fishersemployed in theEU fishing fleet in2011was127,686;adecreaseofalmost5.9%compared to2010 (excludes Cyprus, Estonia and Greece). Spain again had the highest level of employment (32 thousand FTE),followedbyItaly(20.6thousandFTE)andthenPortugal(17.1thousandFTE).Thesmallscalefleetemploysaround41%of the totalnumberofEU FTE fishers, the large scale fleet51%and the longdistantwater fleetaround7%. Labourremunerationimprovedin2011.OverallaverageEUlevelwageperFTEin2011was21,600;FTEinthesmallscalefleetwasonaverage10,700fortheEUsmallscalefleet,29,000fortheEUlargescalefleetand27,000forlongdistancefleet.

TheEUfleetlandedatotalof4,669thousandtonnesofseafoodin2011,correspondingto6.4billioninlandedvalue.theDanishfleetlandedthemostintermsofweightin2011with20%ofthetotallandedintheEU(excludingGreeceandSpain),followedbytheUKfleet(17%).Intermsofthevalueoflandings,in2010theItalianfleetgeneratedthehighestvaluefortheircatch(22%ofthetotal),followedbyFrance(21%)andthentheUK(19%).

HerringachievedthehighestvolumeoflandingsbytheEUfleetin2011.Thetotalweightofherringlandedin2011was483thousandtonnes,moreor lessstablecomparedto2010(3%),whilethetotalweightofsprat landed,thesecondmost important species in volume terms,was 382 thousand tonnes in 2011, a decrease of around 19% from 2010.Atlanticmackerelachievedthehighestvalueoflandings,havingovertakenNorwaylobster.Thetotalvalueoflandingsofmackerel in2011was390million,avery large increaseof36% from2010,while the totalvalueofNorway lobsterlandedwas322millionin2011,anincreaseofaround8%from2010.Averagefirstsalepricesincreasedagainin2011.In particular, the real first sale price ofAtlanticmackerel increased 20% in 2011, despite a 13% increase in volumelanded,signallingasignificantincreaseindemand.

Theamountofincome(excludesdirectincomesubsidiesandincomefromleasingoutfishingrights)generatedbytheEUfishingfleetin2011(excludingGreece,CyprusandEstonia)was7.134billion.Thisamountconsistedof7.003billioninfishsalesand131millioninnonfishingincome.IncomegeneratedbytheEUfleetincreasedby7.6%between2010and2011.

Totalcosts(excludesfishingrights)oftheEUfishingfleet in2011(excludingGreece,CyprusandEstonia)amountedto6.7billion,an increaseofaround7%comparedto2010.Thismainlyconsistedof labourcosts(32%oftotaloperatingcosts,1.9billion increwwagesand257million inunpaid labour)andfuelcosts(1.5billion,23%oftotaloperatingcosts).Othercosts linkedtotheproductionvolumeamountedto1.02billion.Fixedcostswerearound1.2billion,ofwhichrepaircostswere571million.In2011theEUfishingfleetspentabout776millionondepreciationcostsandanestimated101millioninopportunitycostsofcapital.

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ThetotalamountofGrossValueAdded(GVA),Grossprofitandnetprofit(allexcludingsubsidies)generatedbytheEUfishingfleet(excludingGreece,EstoniaandCyprus)in2011was3.4billion(a3.6%increasefrom2010),1.29billion(a7% increase from2010) and410million (an increaseof22% from2010) respectively.GVA as aproportionof totalincomedecreasedslightlyfrom53%in2009to49%in2010to48%in2011.Grossprofitasaproportionoftotalincomehas remained relatively steadyataround18%over the last3years,whilenetprofitasaproportionof total incomeincreasedsteadilyfrom1%in2008to6%in2011.

The large scale fleet generated 71% of the EU fleets income, with the small and long distant water fleets eachcontributingaround15%.TheEUlargescalefleetgenerated71%ofthetotalGVAproducedbytheEUfleetin2011,72%ofthegrossprofitandalmost65%ofthenetprofit,adecreasefrom89% in2010.Thesmallscalefleetcontributedtoalmost19%oftheGVA,16%ofthegrossprofitand20%ofthetotalnetprofitin2011.Netprofitgeneratedbythesmallscalefleetincreasedalmost32%whilethelargescalefleetdecreasedby5%comparedto2010.Thelongdistantwaterfleetmovedfromalossmakingpositionin2010topostaprofitin2011.Inrelativeterms,thesmallscalefleetgeneratedthehighestGVA,grossprofitandnetprofitasa%of income,61.2%,19.6%and7.9%respectively.The largescaleandlongdistantwaterfleetseachgeneratedaprofitmarginofaround5.5%in2011.

Thirteen out of 19Member States generated a net profit in 2011. SixMember States (Bulgaria, Ireland, Finland,Germany,MaltaandSlovenia)generatedanet loss in2011.TheSpanish fleetgenerated thehighestGVA inabsolutetermsin2011(25%oftheEUtotal),followedbytheFrenchandItalianfleets,eachwith17%oftheEUtotal.Inrelativeterms,thePortuguesefleetgeneratedthehighestlevelofGVAinrelationtoincome(64%),followedbytheDanishfleet(63%)andtheRomanianfleet(61%).

The Italianfleetgeneratedthehighestgrossprofit inabsoluteterms in2011(24%oftheEUtotal)followedbytheUKfleet(16%oftheEUtotal)andtheFrenchfleet(14%oftheEUtotal).Inrelativeterms,theDanishfleetgeneratedthehighest levelofgrossprofit in relation to income (34%), followedby theLatvian fleet (33%)and thePortuguese fleet(29%).TheUK fleetgenerated thehighestnetprofit inabsolute terms in2011 (38%of theEU total), followedby theFrenchfleet(26%oftheEUtotal)andtheItalianfleet(19%oftheEUtotal).Inrelativeterms,theLatvianfleetgeneratedthehighestlevelofnetprofitinrelationtoincome(28%),followedbytheRomanianfleet(17%)andtheUKfleet(16%).

Between2008and2011thestaticgearsegmentsweregenerallymoreprofitablethanthemobilegearsegments.GVA,grossprofitandnetprofitasaproportionof total incomewereconsistentlyhigher for thestaticgearsover the timeperiod.GVA as aproportionof income variedbetween53%64% for the staticgears, compared to21%62% for themobilegears.Grossprofitfluctuatedbetween19%31%forstaticgears,whilemobilegearsfluctuatedbetween13%and31%.Thestaticgearsgenerallyproducednetprofitsbetween20082011whilemobilegearsmadenetlossesin2008and2009.

Around 45% ofmobile gear fleet segmentsmade losses in 2011 i.e. vessels in these segments on averagemadeinsufficient returns on capital invested. The corresponding figure in 2008 was 43%. However, 13% ofmobile gearsegmentsgeneratedgrosslossesonaveragein2011i.e.vesselsinthesesegmentsonaveragedidnotgenerateenoughincometocoveroperationalcosts.Thecorrespondingfigurefor2008was18%.Incomparison,41%ofstaticgearfleetsegmentsmade losseson average in 2011, the same as in 2008,while 20%of static gear fleet segments generatednegativegrossprofits in2011,comparedto19% in2008.In2009therewasasubstantial increase intheproportionofsegmentsmakinggrosslosses,inparticularthestaticgears:26%madegrosslossesand51%madenetlosses.Thistrendwaslesspronouncedinthemobilegearsegments:47%madenetlossesbutonly12%madegrosslossesin2009.

2013Annual Economic Report on the EU Fishing Fleet

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1. INTRODUCTION

The2013AnnualEconomicReport(AER)ontheEuropeanUnion(EU)fishingfleetprovidesacomprehensiveoverviewofthelatestinformationavailableonthestructureandeconomicperformanceofEUMemberStatesfishingfleets.

Thispublicationincludes:

1) AneconomicandstructuraloverviewoftheEUfishingfleet2) AdetailedeconomicandstructuraloverviewofthefishingfleetsfromeachEUMemberState3) Qualitativeeconomicperformanceassessmentsfor2011and2012foreachEUMemberState4) RegionalanalysesoftheEUfishingfleet5) ThelatestinformationonEUfishpricesandpricetrendsatEUandMemberStatelevel6) Economicperformanceprojectionsfor2013usingtheEIAAandBEMTOOLmodels7) EconomicassessmentoffleetstargetingstockssubjecttheEUfisheriesmanagementplans

The reporthasbeenproducedby twoworking groupsofeconomicexperts (expertworking group1303 and1304)convenedundertheScientific,TechnicalandEconomicCommitteeforFisheries(STECF),whichtookplacefromthe8thto12thofAprilandthe3thto7thJune2012inIspra,Italy.ThegroupsconsistedofindependentexpertsfromwithintheEUandexpertsfromtheEuropeanCommissionsResearchCentre(JRC).Thenamesandaffiliationsoftheseexpertscanbefoundinsection13.

ThedatausedtocompileallthevariousanalysescontainedwithinthereportwerecollectedundertheframeworksoftheDataCollectionRegulation(DCR);cf.CouncilRegulation(EuropeanCommission(EC))No1543/2000of29June2000and the data collection framework (DCF), cf. Council regulation (European Commission (EC) No 199/2008 of 25thFebruary2008).Thedatacallrequestedeconomicdatafortheyears2008to2013.

Intermsofcompliancewiththedatacalldeadline,similartothe2011datacall,mostMemberStatesattemptedtodoso.However,again,thequalityandcoverageofmostdatasetsrequiredimprovementonceinspectedbyJRCandnationalexperts.Themajorityofuploadingactivityagaintookplaceafterthedatacalldeadlinewhich impactedonbothEWGsand JRCsability toproduce the2013AER ina timelymanner.This isa recurringproblemwhich requiresachange toresolve.

In terms of the completeness of theMember States data submissions, most countries submitted the majority ofparametersrequestedunderthecall.Inmanycasesmissingdatarelatestofleetsegmentswithlowvesselnumbersforwhichdata ishardtoobtain.However,GreeceprovidednodatawhatsoeverwhilethisyearssubmissionfromCyprusand Spainwasmuch less complete than the data provided under the 2011 data call. These discrepanciesmake anevaluationof theoveralleconomicperformanceof theEU fishing fleet in2011notpossible. In termsofdataquality,inevitably some abnormalestimates forvariousparametersweredetectedby JRCor theexpertsand inmanycasesrectifiedbytheMemberStates.However,someminorqualityissuesremainoutstanding.

1.1. TERMS OF REFERENCE FOR STECF EWG-13-03 & 13-04

BackgroundFollowingthe2013DCFcallforeconomicdataontheEUfishingfleet,EWG1303&1304arerequestedtoanalysethedataandcommentontheeconomicperformanceoftheEUandMemberStatefishingfleetsbetween2008and2013.

Theprimaryobjectivesoftheexercisearetoincreasequalitativeinterpretationofalldataoutputsandmakethereportmoreuptodatebyestimating2012and2013economicperformance.Increasedqualitativeinterpretationofthedataoutputsrequiressufficientattendanceofexpertsknowledgeable inMemberStatespecificfleeteconomicperformanceissues,while amore uptodate report requires thatMS provide the data necessary to successfully undertake thecalculations.

DataqualityremainsessentialforaccurateanalysisandJRCwillhaveconductedanumberofdataqualitycheckspriortoEWG1303.Pastexperiencesuggests thatsomequality issueswillremain (errors thatcanonlybe identifiedby thosewithspecificknowledgeofthedata)andthereforeexpertsarerequestedtocheckforfurthererrorswhilstcarryingoutthevarioustasks.

Thelevelofdetailedanalysiscontainedwithintheregionalassessmentsshouldincrease,particularlyintermsofthelevelofdisaggregation(insomeinstancesitmaybenecessarytomakeassumptionsabouttheallocationofcostsandearningsfor fleetsegmentsoperating in twoormoreseabasinareas).Aspecificanalysison theeconomicperformanceofEUfleetstargetingstockssubjecttothemainlongtermmanagementplansshouldalsobecarriedout.

INTRODUCTION

16

DGMARErequeststhatthe2013AERcontainsmorequalitativeinformationandanalysisondriversandtrendsinfleeteconomic performance.What are the common major drivers / issues affecting fleet economic performance? E.g.Capacity imbalance,discards /highgrading,MPAs,poor stock recruitment / stock recovery situations,marketprices,ITQssystems,certification,decommissioningetc).Thesequestionsshouldbeaskedconsistentlyatall levelsofanalysisi.e.fleetsegmentlevel,nationallevel,regionallevel,managementplanlevelandoverallEUlevel.

Provisionofbalance(social,economicandtechnical)indicatortablestotheSTECFbyEWG1303

EWG 1303 is requested to quality check, analyse and summarise economic, social and technical balance indicatorsproducedbyJRCfortheperiod20082011/12,whichmustbesubmittedtoSTECFplenaryby12noononThursday11thof April. These indicatorswill form the basis of the special chapter on balance indicators (excluding the biologicalindicators)whichwillbefinalisedduringthesecondAERmeetinginJune.

AERmeeting1priorities:

1)BalanceindicatorsforSTECFplenary

2)DraftEUoverview

TermsofReference2013AERontheEUfishingfleetSTECF is requested to provide the Annual Economic Report on EU fleets for 2013 including, at least, the followingsections:

Introductoryremarks(DGMARE) STECFobservations Expertworkinggroupreport Executivesummary

EUfleetoverview

EUfleetstructure SocioeconomicstructureoftheEUfleet EUfleetfishingactivityandoutput EUfleetemploymentandaveragesalaries EUfleeteconomicperformance (new)sectiononresourceefficiencyexaminingaspectssuchasenergyefficiencyandlaborproductivity(key

indicators) (new)sectiononEUsmallscalefleetsegments(keysocioeconomicindicators) (new)sectiononEUlongdistantwaterfleets(keysocioeconomicindicators) assessmentfor2012and2013

Regionalanalyses

Balticsea Mediterraneanandblacksea NorthAtlantic Northseaandeasternarcticarea Otherregions

Nationalchapters

(new)Sectiononsmallscalefleetsegmentsineachnationalfleet

(new) Special chapter on economic, social and technical indicators for assessingbalance between fleet capacity andfishingopportunities

1.2. PARTICIPANTS AT EWG 13-03 AND 13-04 ThefulllistofparticipantsatEWG1303and1304heldfromthe8to12Apriland3to7June2013respectivelyinIspra,Italyispresentedinsection9.

2013 Annual Economic Report on the EU Fishing Fleet

2. EU FLEET OVERVIEW

KEYFINDINGS

In2012,theEUfishingfleetcontainedover82thousandvesselswithatotalgrosstonnage(GT)of1.7milliontonnesandenginepowerof6.4millionkilowatts(kW).

EU fleet capacityhasdecreased steadilyover the years,withanaverageannualdecreaseof2% in termsofvesselnumbersand3%intermsofGT.

TheGreekfleetwasthe largest intermsofnumberofvessels in2011(21%ofthetotal);theItalianfleetwasthelargestintermsofkW(17%)andtheSpanishfleetwasthelargestintermsofGT(24%).

EU fleetemployment (excludingCyprus,EstoniaandGreece)amounted to127,680 fishers, corresponding to98,500 FTEs in 2011. Employment decreased 6% between 2010 and 2011 while average wage per FTE,estimatedat21,577in2011,increased8%between2010and2011.

TheSpanishfleetemployed33%ofthetotalEUfleetFTEs,followedbyItaly(21%)andPortugal(17%),(excludesCyprus,EstoniaandGreece).

In2011,thetotalnumberofdaysatseareportedbytheEUfleet(excludingCyprus,Estonia,GreeceandSpain)decreasedby1%,asdidlandingsinweight(7.5%)whilevalueoflandingsincreased6.5%comparedto2010.

The EU fleet landed less inquantity but generated ahigher value in 2011 compared to 2010.According toEurostat,theEUfleetlanded4,669thousandtonnesofseafoodin2011,correspondingto6.3billioninlandedvalue.

TheDanishfleetlandedthemostintermsofweight(21%ofthetotallandings)in2011andtheItalianfleetthemostintermsofvalue(23%ofthetotal)in2011.

Averagefuelpriceincreased28%in2011whilefuelconsumption(excludingSpain,Estonia,GreeceandCyprus)decreased6%comparedto2010.

Theavailabledatasuggestthattotalcosts incurredbytheEUfleet increased in2011butsodidtotal income,makingtheEUfleetagainprofitablein2011,generating3.4billioninGrossValueAdded(GVA),1.3billionofgrossprofitsandanetprofitof410million.

Themajor cost items in2011were labourandenergy costs, representing30%and21%of income (landingsincomeandotherincome)respectively.

GVAincreased4%,grossprofitincreased7%andnetprofitincreased28%in2011comparedto2010.

GVAasaproportionofincomegeneratedbytheEUfleet(forwhichdatawasavailable)in2011was1%lowerthanin2010whilegrossprofitmarginremainedstableataround18%andnetprofitmargin,estimatedat6%,wasaslightimprovementonthecorresponding2010figure.

Sixnational fleetsmadenet losses in2011 and anestimated45%ofEU fleet segments forwhichdatawasavailablemadenetlossesin2011.

2012forecastssuggestthatfleetincomeincreasedinnineoutofthe14MemberStates,GVAasaproportionoftotalincomeincreasedinsevenoutof14MemberStatesandgrossandnetprofitmarginsincreasedinfiveoutof14MemberStates.

ThischapterprovidesanoverviewofthestructureandeconomicperformanceoftheEUfishingfleetin2011andhighlights somekey trendsbetween2008and2012basedondataobtained from the latestDCF fleeteconomicdatacallanddataheldontheEUfishingfleetregisterandEurostat1.ResultsareprovidedatEUandMemberState levelswithadditionalanalysesgivenbymain fishingactivity (i.e.smallscale, largescaleand

1AllsocioeconomicanalysesarebasedondataprovidedbyEUMemberStatesduringthe2013DCFcallforeconomicdataontheEUfishingfleet

17

EU Fleet Overview

18

longdistantwater fleet),main fishing gear type (mobile/active and static/passive gears), andDCF fishingtechnologyandvessellengthcategories.

MainDataIssuesThe 2013 DCF call for economic data on the EU fishing fleet requiredMember States to submit socioeconomicandtransversalvariablesbyyearattwomainaggregationlevels:(1)nationaland(2)fleetsegment(seeMethodologysectionforadetailedlistofallvariablesandaggregations).

Forthisstudy,national leveldatasetswereusedforEUandMemberState levelanalyseswhileforthefleetsegmentandfishinggearlevelanalysesdatasubmittedatthefleetsegmentlevelwereused.WhileintheorybothnationallevelandfleetsegmentdatasetssubmittedbyMSshouldequate,thisisnotalwaysthecaseandsomediscrepanciesexistbetweenthetwo,mainlyduetomissing/incompletedatasetsorthenonsubmissionofdataduetoconfidentialityissues.

Duetotheseandotherdatarelatedissues,acompleteoverviewoftheEUfishingfleetforallreferenceyearswasnotpossible.

SomeofthemainshortcomingsofthisEUlevelanalysisinclude:(1)theexclusionofGreecefromallanalysesdue to nonsubmission of data; (2) exclusion of Cyprus and Estonia2 frommost of the analyses due toincompleteand/orinconsistentdataqualityand(3)thenonsubmissionoflandingsandeffortdataforSpain.Inaddition,severalsignificantMSfleetsegments,forexampletheGermanpelagictrawlers,arenotincludedduetoconfidentiality.

Furthermore, inordertocompareeconomic indicatorsatfleetsegment level,onlyasubsetoftheDCFdataprovidedbyMSwasused.Thissubsetconsistedoffleetsegments(combinationofmainfishinggear,vessellengthgroup,bysupraregion)forwhichalltherelevantdataneededtoestimatenetprofitwasprovided,i.e.allessential incomeandcost items, includingfleetdepreciatedreplacementvalue(requiredtoestimatetheopportunitycostofcapital),neededtobepresent.

InthisyearsAER,resultsarealsopresentedbymainfishingoperationscale,i.e.byEUsmallscalefleet,largescalefleetand longdistancewaterfleet.However,data limitationsarisingfromDCFsegmentationsandtheclusteringof fleetsegments toprovideeconomicdata,mayhaveobscuredsomeresults.Hence, thevaluespresentedbymainfishingoperationtypeareestimatesoftheactivityofthesefleets.

Capacityand landingsdataon theEU fishing fleet,held in theEU fleet registerandEUROSTATdatabases,wereusedtocomplementtheDCFcapacityand landingsdata.AllsocioeconomicanalysisarebasedonthedataprovidedbyMemberStatesduringthelatestDCFdatacall.

Otherrelevantdatarelatedissuesarehighlightedthroughoutthetext.

2Duetoinconsistentdatasetsprovided,itwasnecessarytoexcludeEstoniafromalleconomicanalysis.


2.1. Fleet Structure

EUandMemberStatelevel

AccordingtodataheldintheEUfleetregister,thetotalnumberofvesselsintheEUfishingfleetonthe1stofJanuary2012was82,047,withacombinedgrosstonnage(GT)of1.69milliontonnesandtotalenginepowerof6.36millionkilowatts (kW).Thecorresponding figures for2011were83,590vessels,1.74million tonnesand6.52millionkW.TheoverallcapacityoftheEUfleetdecreasedbetween2008and2012by:vessels7%,GT12%andkW9%(Figure2.1).

RelativetothedataheldintheEUfleetregister,thelatestDCFdata(withareferenceyearof2011)coveredalmost90%of theEU fleet inGTandkWbutonly76% in termsof the totalnumberofvessels.This lowercoverage ismainlydue to the fact theGreek andCypriot fleets arenot included.Bothnational fleets areessentially small scale in nature, characterised by a high number of vesselswith low tonnage and enginepower.Inaddition,datasubmittedbyMemberStatesfortheyear2012areinsomecasesprovisionaland/orincomplete,impactingonoverallcoveragefor2012(Figure2.1).

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Figure2.1EUfishingfleetcapacitytrends:20082012.

BasedontheEUfleetregister,Greecepossessedthelargestfleetinnumber,encompassing21%ofthetotalEUfleet,followedby Italy(16%)andthenSpain (13%).TheSpanishfishingfleetwasthe largest intermsofvessel tonnage (24% of the EU total), followed by theUK (12%) and then Italy (11%). In terms of enginepower,theItalianfleetencompassed17%ofthetotalEUkW,followedbyFrance(15%)andthenSpain(14%).Belgium,with89vesselspossessedthesmallestfleetinnumber,whileSloveniahadthelowestgrosstonnageandRomaniathesmallestenginepower(0.1%oftheEUtotal)(Figure2.2).

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Figure2.2EUfishingfleetcapacitybyMemberState:Fleetregisterdata,2011

19

EU Fleet Overview

Table2.1containstrends in fleetcapacitybyMemberStateovertheperiod20082011,andhighlightsthatchanges incapacityhavedivergedacrossMemberStates.Forexample, thechange inthenumberofactivevessels fluctuatedbetween 63% for Latviaand+18% forBulgaria (7% for theEU total), ingross tonnagebetween 57% forRomaniaand+62% forMalta (10%atEU level)and inenginepowerbetween 35% forLatviaand+6%forBulgaria(8%forEUtotal).

Accordingtothedatasubmittedfor20113,andtakingintoaccountthattheCypriotandGreekfleetsarenotincluded, average dimensions of EU vessels are also very heterogeneous amongMember States.AveragetonnagepervesselwashighestfortheLithuanianfleet(269GT),followedbytheBelgian(178GT)andDutchfleet(177GT).AveragekilowattspervesselwashighestintheBelgianfleet(575kW),followedbytheDutch(393kW)andthen theLithuanian fleets (318kW).TheRomanian fleet ismainlycomposedofsmallersizedvessels,withanaveragesizeof2GTand14kW.TheSlovenianfleetwastheoldest,withanaveragevesselageof36years,whiletheRomanianfleetwastheyoungest,withanaverageageof17years(Table2.1).

Table2.1MSShareofEUfleetandpercentagechange20082011forthemaincapacityindicators

MSfleetSharein2011 %change20082011 Averagedimension Averagefleetage

No.Activevessels GT kW

No.Activevessels GT kW GT/vessel kW/vessel (2011)

BEL 0% 1% 1% 13% 18% 16% 178 575 24BGR 2% 0% 1% 18% 8% 6% 5 33 22DEU 3% 4% 3% 11% 3% 2% 39 91 29DNK 4% 4% 4% 5% 14% 16% 25 90 30ESP 17% 26% 16% 17% 12% 12% 38 86 28EST 1% 1% 1% 3% 26% 21% 16 42 22FIN 5% 1% 3% 4% 1% 0% 5 51 25FRA 9% 10% 15% 9% 14% 8% 27 147 21GBR 10% 13% 14% 5% 2% 4% 32 128 25IRL 3% 5% 3% 10% 8% 6% 33 94 25ITA 23% 12% 21% 2% 7% 3% 13 84 28LTU 0% 3% 1% 32% 25% 21% 269 318 32LVA 1% 1% 0% 63% 34% 35% 27 70 27MLT 2% 1% 1% 17% 62% 5% 11 77 26NLD 1% 8% 5% 2% 11% 13% 177 393 33POL 1% 2% 1% 9% 17% 19% 47 109 28PRT 13% 6% 6% 2% 2% 1% 12 44 28ROU 1% 0% 0% 11% 57% 20% 2 14 17SVN 0% 0% 0% 3% 2% 2% 5 58 36SWE 2% 2% 3% 10% 23% 16% 24 131 31EUtotal 100% 100% 100% 7% 10% 8% 25 92 27

Datasource:MemberStatedatasubmissionsundertheDCF2013FleetEconomic(MARE/A3/AC(2013)).

AccordingtoMSdatasubmissions,thesmallscalefleet4comprised55%ofthetotalEUfleet5 innumberofvessels in 2011, 6% in gross tonnage and 25% in engine power. The long distantwater fleet6, althoughcomprisinglessthan1%ofthenumberofvessels,represented19%oftotalgrosstonnageand7%ofenginepower.The largescalefleet7represented21%ofthefleet innumber,75%ofthegrosstonnageand68%oftheenginepower.Inactivevesselsamountedtotheremaining23%oftheEUfishingfleetinnumber,0.2%ofthegrosstonnageand0.4%oftheenginepower,highlightingthatmostoftheinactivevesselsaresmallscaleinnature(Figure2.3).Portugalhadthehighestnumberofinactivevessels(3,466),accountingfor20%ofthetotalEUinactivefleet.

32012datanotpresentedastheyareprovisionaland/orincomplete4Smallscale fleet includesallvesselsunder12musingstaticgears (driftand/or fixednetters,vesselsusingpotsand/or traps,vesselsusinghooks,vesselsusingpassivegearsonlyforvessels


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Figure2.3EUfleetcapacitytrendsbymainfishingactivity20082011

Whenanalysedbymainfishinggear,thepolyvalentpassivegearsegment (PGP)wasthe largest intermsofnumberofvesselsin2011andpossessedthesecondhighestcombinedgrosstonnagebutoneofthelowestenginepower.Thedemersaltrawler/seinerfleetsegment(DTS),comprisedmostofthemobilegearvesselsand the largestGTandenginepowerof theEU fleet segments, followedbypurse seiners (PS)andpelagictrawlers(TM)(Figure2.4).

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Figure2.4EUfishingfleetcapacitybymainfishinggear,2011

21

EU Fleet Overview

Byvessellength,theEUismainlycomposedofvesselsbelongingtolengthgroupsunder12m8.Thenumberofvesselsdecreaseswithincreasingvessellength(Figure2.5).

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Figure2.5EUfishingfleetcapacitybyvessellengthgroup,2011

2.2. Socio economic structure of the EU Fleet

Employment andAveragecrew wageAccordingtoMemberStatesDCFdatasubmissions,thenumberoffishersemployedintheEUfishingfleet9in2011was127,686,adecreaseofalmost4.5%from2010.Thenumberoffishersemployedincreasedin2009and2010,fallingagainin2011,almostreaching2008levels.ThenumberofFTEsintheEUfishingfleetin2011was98,56110,adecreaseof6%comparedto2010andabout2.5%comparedto2008 (Figure2.6).Dataoncrewcostsandemployment levelssubmittedbyMemberStatessuggestthataveragewages intheEUfishcatchingsectorfluctuatedsomewhatbetween2008and2011.ThelabourremunerationintheEUfishingfleetseems tohave improved in2011: the averagewageper employee andper FTE in2011was16,655 and21,577respectively.Bothwagerateindicatorsincreasedaround8%between2010and2011(Figure2.6).

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Figure2.6EUfleetemploymentandaveragewageindicators

8InFigure2.5,theDCFvessellengthgroupsunder12mwerecombinedtocreatethevessellengthgroupVL0012,andhighlightsthatvesselnumbersdecreasewithincreasinglengthwhileGTincreaseswithvesselsize.Highenginepowerinthelowerlengthgroupsreflectsthehighnumberofvessels9ExcludesdatafromCyprus,EstoniaandGreecewhichwerenotreported10Note:thisfigureequatesto102,491whensummedatthefleetsegmentlevel

22


AtmemberStateMS level,theSpanishfleethadthehighest levelofemployment in2011, intermsofbothtotalemployedandFTEscovering28%and33%,ofthetotalnumberofEUfishers11,followedby Italy(22%and21%respectively)andthenPortugal(13%and17%respectively).

The ratio FTE to total employed (red dots in the figure below) gives an indication of themain type ofemployment, i.e. the lower the ratio the higher the parttime employment. The Estonian, Romanian andFinnish fleets appear to employmostly parttime fisherswhile the Portuguese and Belgian fleets employmostlyfulltimefishers(Figure2.7).

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Figure2.7EUfleetemployment(top)andaveragewage(bottom)byMSin2011

DataoncrewcostsandemploymentsuggestthattheBelgianfleetpaidthehighestwagesperFTEonaverage(77,338), followed by the Danish fleet (68,989), and then the French fleet (54,994) (Figure 2.7). It isinteresting to note thatwhile generally averagewage per FTE is higher than the averagewage per totalemployed(totalFTEislowerthantotaljobsbecauseofseasonalandparttimeemployment),fortheDanishfleettheoppositeisobservedbutthisislikelytobeadatarelatedissue.

Figure2.8highlights that averageemploymentper vessel varied acrossMember State in2011. Lithuanianvesselownersemployedahighernumberoffishersonaverage(4.5),followedbyBelgian(4.2)andthenDutchvesselowners(3.7).Indeed,theseMSpossessfleetscomposedmainlyoflargersizedvessels(Table2.2).

Theratiobetweenthenumberofjobsandgrosstonnagepervessel(Figure2.8)providesanindicationofthelabourandcapitaluseaboardEUvessels:thehighertheratio,themorelabourintensivethevesselisandthelowertheratiothemorecapitalintensiveorindustrialised.Figure2.8showsthatMSfleetswithlargersized

11excludesdatafromCyprusandGreecewhichwerenotreported

23

EU Fleet Overview

vessels weremore capitalised (low number of jobs to GT ratio), while themore labour intensive fleetsincludedvesselsoperatingintheBlackSea,i.e.BulgarianandRomanianfleets,whichconsistmostlyofsmallersizedvessels.

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Figure2.8EUfleetemploymentindicators,2011

Breaking itdownbymainfishingactivity,thesmallscalefleetemployedaround41%ofthetotalnumberofFTEfishers in2011,the largescalefleet51%andthe longdistantwaterfleetaround7%.Employment level(FTEs) in the small scaleand the longdistance fleetsdecreased, 6%and 7% respectively,over theperiod20082011, while, the number of FTE in the large scale segment increased slightly (+1.5%) (Figure 2.9).AveragewageperFTEinthesmallscalefleetwasanestimated10,730in2011.Thesameindicatorreachedalmost27,600forfishersoperatinginthelongdistantwaterfleetand29,440inthelargescalefleet(Figure2.9).Crewremunerationinthelongdistantwaterfleetshowedasignificantincrease(43%)relativeto2010.According to thedata,crewengaged in theFrench longdistantwater fleetreceivedonaverage81,477 inwagesin2011.

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Figure2.9EUfleetemploymentandaveragewageindicatorsbyfishingactivity

Whenanalysedbymainfishingandvesselcharacteristics,averagewagestendtobehigherinthemobilegearsegmentsandlargervessellengthgroups(Figure2.10).TheratioFTE/totalemployedindicatesthatparttimeemploymenttendstobesomewhathigherinsmallervessels,decreasingwithvesselsize.Byfishinggeartype,noclear trendemergeswithvaluesgenerallyabove70% inboth thestaticandmobilegearsegments.Yet,values indicate that parttime employment appears to dominate in the passive gear segment (PG) andaccountsforabouthalfoftheemploymentondredges(DRB)(Figure2.10).

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Figure2.10EUfleetemploymentandwageindicators,2011.

Top:bymainfishingtechnology;Bottom:byvessellengthgroup.

2.3. Fishing Activity and Production

FishingEffortAccordingtoMemberStatesdatasubmissions,thetotalnumberofdaysatseareportedbytheEUfleet12in2011wasalmost3.8milliondays,95%ofwhichwereactualfishingdays,resultswhicharemoreorlessstable(1%)whencomparedto201013(Figure2.11).

AccordingtothedatasubmittedbyMS,Italyreportedbyfarthehighestnumberofdaysatseain2011with47% of the total, followed by France (13%),UK (11%) and then Portugal (10%). Together, these fourMSaccountedfor80%ofthetotalregistereddaysatsea(Figure2.11).

DatasubmittedonkWandGTfishingdaysbyMemberStates14revealsthattotalkWfishingdaysfortheEUfleetin2011was584million,whiletotalGTdayswasjustunder148million.TheItalianfleetappliedthemosteffort,intermsofbothkWandGTfishingdays(25%and16%ofthetotalsrespectively)(Figure2.11).

FuelconsumptionbytheEUfleet15in2011was1.66billionlitres,a5%decreasecomparedtotheamountoffuelconsumedin2010.Accordingtothedataavailable,theItalianfleetconsumedthemostfuel,with25%oftotal consumption, followedby the French (21%) and then theUK fleet (16%), (Figure 2.11).Mobile gearsegments, inparticular trawlers,andvessels in the larger lengthgroupsareheavier fuelconsumers (Figure2.12).

12ExcludesdataforGreece,Cyprus,EstoniaandSpainwhichwerenotreported13Francedidnotprovideeffortdatafortheyears2008and2009.Inaddition,Francedidnotprovideeffortdatafortheyears2008and200914Thesevaluesmaynotnecessarily reflect theentireEU fleetasMSare required tosubmitdataonGTandkW fishingdays foronlycertain fleetsegmentsalthoughmanyMSsubmitdataforallfleetsegments.15Cyprus,GreeceandSpainexcludedduetomissingdata,Estoniaexcludedtomake2010fuelconsumptioncomparableto2011

25

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Figure2.11EUfleetfishingeffortindicators

Topleft:fishingeffortdeployedbytheEUfleet;topright:fishingeffortdeployedbyMSfleetsin2011;bottomleft:GTandkWfishingdaysbyMSfleetsin2011;bottomright:energyconsumptionbyMSfleetsin2010and2011.

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LandingsAccording to Eurostat, the EU fleet landed 4,669 thousand tonnes of seafood in 2011, corresponding toaround6.3billion in landedvalue16.TheEU fleet17 coveredby theDCF landeda totalof3,526 thousandtonnesandobtained4.9billion for theircatch in2011, indicating that theDCFdatacoversapproximately76%ofthetotalEUlandingsinvalueand78%ofthelandingsinweight(Figure2.13).

16note:datamaynotbecompleteorcomparablewithDCFdata17DCFdataonlandingsinweightandvalueexcludesGreeceandSpain.

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DCF data submitted onweight and value of landings by species reveal that herring achieved the highestvolumeof landingsbytheEUfleet18 in2011.Thetotalweightofherring landed in2011was483thousandtonnes,aslightdecreasecompared to2010 (3%),while the totalweightof landedsprat, thesecondmostimportantspeciesinvolumeterms,was382thousandtonnesin2011,adecreaseofaround19%from2010(Figure 2.14). The data also reveals thatAtlanticmackerel achieved the highest value of landings, havingovertakenNorway lobster.Landingsofmackerel in2011werevaluedat390million,asubstantial increasefrom2010 (+36%),while thetotalvalueofNorway lobster landedwas322million in2011,an increaseofaround8%from2010(Figure2.14).

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Figure2.14EULandingtrends:20082012

Left:topsixspecieslandedbyEUfleetintermsofvalue;Right:topsixspecieslandedbyEUfleetintermsofweight:2008and2011.

Figure2.15contains theaverage realpriceof the top10species landed in theEU fleet19 in termsofvalue(left)andweight(right)for20082012.Theaveragefirstsalepriceofmostofthetopspeciesintermsofvaluelanded increased in2011.For themost important species, the increase in the realpriceappears linked toreductionsinlandedvolume.OneofthespeciesforwhichthisappearsnottoapplyistheAtlanticmackerel.Theincreaseinthevolumelandedof+13%andtheincreaseinthevaluelanded(+36%)in2011resultedinanincreaseof20%intherealfirstsaleprice.Thismayhavebeenbroughtonbyseveralfactors;onepossibilitybeingfavourablemarketconditionsforthis lowvaluedspeciesconsumers,preoccupiedwiththeuncertainfinancialandeconomicsituation,mayhavehadapreferenceforcheaperalternativesourcesoffishprotein.

18GreeceandSpainexcludedduetononsubmissionoflandingsdatabyspecies;2012dataareprovisional19GreeceandSpainexcludedduetononsubmissionoflandingsdatabyspecies;2012dataareprovisional

27

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Figure2.15EUfleetaveragefirstsalespricetrendsforkeyspecies

AccordingtoDCFdata,theDanishfleetlandedthemostintermsofweightin2011,amountingto20%oftheEU landings covered, followed by theUK fleet (17%). In terms of landings value, in 2011 the Italian fleetgenerated thehighest value for their catch (22%of the total), followedby France (21%) and then theUK(19%),(Figure2.16).


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Figure2.16EUlandingsweightandvaluebyMemberState:2011

AccordingtothedatasubmittedbyMS,theLithuanianfleethadthehighestcatchratein2011,landingmoreinvolumeperdayatsea(around11thousandtonnes)thananyoftheotherMSfleets(Figure2.17).

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Figure2.17EUfishingfleetlandingsperuniteffort(LPUE):20082011

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Analysedbyfishingoperation,thesmallscalefleetlanded6.2%ofthelandingsinweight,thelargescalefleet86.5%andthedistantwaterfleet7.4%(Figure2.18).

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Datasource:EUROSTAT(topleft)andMemberStatedatasubmissionsundertheDCF2013FleetEconomic(MARE/A3/AC(2013)).

Figure2.18Trendsinlandingsweight(left)andvalue(right)bymainfishingoperation:20082011

Thedistantwaterfleetappearstohaveamuchhighercatchratecomparedtoboththesmallandlargescalefleetsegments,accountingfor86%oftheEUlandingsinweightperdayatseain2011.Conversely,thesmallscalefleethasalowcatchrate,landinglessthan1%oftheEUlandingsinweightperdayatsea(Figure2.19).

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Figure2.19EUfleetfishinglandingsperdayatsea(LPUE)bymainfishingactivity:20082011

When analysed by main fishing technology and vessel length group, the mobile gear and larger vesselsegmentsrevealhighercatchratesbutobtain loweraverageprices.Thedemersaltrawlers landthemost involumeandvalue,and thusattain relativelyhighprices for their landingswhencompared to, forexample,pelagic trawlers and purse seiners.On the other hand, these two latter gear segments have the highestlandingsperuniteffort.Thestaticgearandsmallervesselsegmentshave lowcatchratesbutobtainhigheraveragepricefortheirlandings(Figure2.20).

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Figure2.20EUfleetlandingsinweightandvalue,andLPUEbymainfishinggear(top)andvessellengthgroup(bottom)in2011.

Fueluse intensityFueluseintensityoftheEUfleetwasanalysedaslitresoffuelconsumedpertonneofliveweightlanded.

Fueluseintensitydependslargelyonthetypeoffishingoperation,fishinggear,fishtargetedandCPUE(catchperunitofeffort).BasedonthedatasubmittedbyMS,theresults indicatethatfueluse intensity intheEUfleethasdecreasedsince2008,albeitwithaslightincrease(1.8%)in2011.Bymainfishingoperation,smallscale vessels aremore fuel intensive, consumingmore fuelper volume landed (Figure 2.21). In 2011, theBelgianfleetconsumedthelargestamountoffuelpertonneofliveweightlanded(Figure2.22).

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Figure2.22Fuelconsumptionpertonneofliveweightlanded(litres/tonne)byMSfishingfleets:20082011

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31

Ingeneral,mobilefishinggearsareidentifiedasconsuminghighamountsoffuel.Vesselsusingpassivegearsare generally smaller and operate in coastalwaterswhile vessels using active fishing techniques requiretravelling greater distances to fishing grounds, consumingmore fuel. Pelagic trawlers, beam trawlers andpurseseinersconsumeonaveragethehighestamountsoffuelperdayatsea,buttheirLPUEsarehigherthanother gears, resulting in quite low fuel use intensities,with the exception of beam trawling. These lattervesselstendtohavehigherenginepowertotowgearsalongtheoceanfloor,whichfurtherreducesenergyefficiency. Incontrast,given thenatureof their fishingoperations, fuelconsumption issignificantly less forvesselsusingpassivegears(suchastraps,hooks,gillnets).However,thesevesselsgenerallyhavelowLPUEs,resultinginhighfuelusepertonnelanded(Figure2.23).

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Figure 2.24 Fuel consumption per tonne of liveweight landed (litres/tonne) by vessel length group for the EU fleetfishing:20082011

2.4. Economic Performance of the EU fleet

IncomeandCostsAccording toMember StatesDCF data submissions, the amount of income20 generated by the EU fishingfleet21in2011was7.134billion.Thisamountconsistedof7.003billioninfishsalesand131millioninnonfishingincome(Figure2.25).IncomegeneratedbytheEUfleet21,increased7.6%between2010and2011.

20Directincomesubsidiesandincomefromleasingoutfishingrightswereexcludedfromtheeconomicanalyses.DataondirectincomesubsidieswereconsiderednotrobustenoughforallMemberStates.Leasingrightsincomeandcostswereexcludedformethodologicalreasons21ExcludesdataforCyprus,EstoniaandGreece,whichwerenotreported.

EU Fleet Overview

Totalcosts(bothactualincurredandestimated)bytheEUfishingfleet21in2011amountedto6.7billion22,an increaseofaround7%compared to2010.Thismainlyconsistedof labourcosts (32%of totaloperatingcosts,1.9billion increwwagesand257million inunpaid labour)andfuelcosts(1.5billion,24%oftotaloperatingcosts).Othercostslinkedtoproductionvolumeamountedto1.02billion.Fixedcostswerearound1.2billion,ofwhichrepaircostsamounted571millionanddepreciationcosts776million(Figure2.26).

While EU fleet income increased in 2011, so did the costs incurred by the EU fleet: labour costs by 2%comparedto2010,repairandmaintenancecostsby8%andenergycostsby20% (thistrend isexpectedtocontinueasfuelpricescontinuedtorisein2012)(Figure2.26).

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Figure2.25EUfleetincomebreakdown,2011

Left:incomestructure;right:breakdownofincomeitemsas%ofincomein2011

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Figure2.26EUfleetcostitemstrends:20082011

Left:coststructure;right:breakdownofcostsitemsas%oftotalcostsin2011

Figure2.27(bottomright)providesEUGasoilandBrentpricesfor20082012andshowsthataveragepricesrosesharplyin2008,reachingapeakinJulybeforedecliningrapidlyinthefollowingmonths.Whilefuelpricesremainedrelativelylowduring2009andearly2010,theyincreasedsubstantiallytowardstheendof2010andcontinuedthroughout2011.In2012,fuelpricesagainreachedhighlevelsasinmid2008.Thesefluctuationsinfuelpricesappeartohaveasignificantimpactonlabourcosts:whenfuelcostsincreaselabourcoststendto decrease. The data suggest that as fuel prices eased in 2009, expenditure on crewwages and repairsconsequentlyincreased,whilethetotalfuelcostoftheEUfleetfellsignificantly,bothinabsolutetermsandinrelationtoincome.Datafor2010suggestsareverseinthistrend,therewasareductionintheamountspent

22Fishingrightscostsexcludedformethodologicalreasons.See14

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oncrewwagescomparedto2009andan increase inexpenditureonfuelcomparedto2009, largelyduetothesteadyincreaseinfuelpricesduring2010and2011.

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Figure2.27EUfleetcostitemstrends:20082011

Left:breakdownofcostitemsasa%ofincome;right:averageenergyprices

Figure2.28showsthat fuelconsumptiontends tobe inverselyrelatedto fuelcosts:as fuelprices increase,consumptiondecreases(fishingeffortinseadaysalsodecreasedslightlyoverthesameperiod).Labourcostsremained relatively stableover the years analysed,with a slightdecreasewhen fuel costs increase, againhighlightingthatlabourcostsfluctuateinlinewithenergycosts(Figure2.28).

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Figure2.28Maintrendsinincomeandcosts(left)andfuelandlabourcostsasa%ofoperationcosts(right)fortheEUfishingfleet:20082011

Theimpactoffuelpricesonthecostoffishingvariesaccordingtothetypeoffishingactivity,gearused,targetspecies, fishingbehaviour,and vessel characteristics.AnalysedbyMS, Italyappears tohave themost fuelintensive fleetwith fuel costs amounting to 38%ofoperating costs in 2011, followedby theNetherlands(35%)andBelgium(34%).TheMalteseandDanishfleets,at17%and20%respectively,hadthelowestratios(Figure 2.29). TheMaltese fleet on the other hand, had the highest labour cost to operating cost ratio,accounting59%oftotaloperatingcosts,followedbytheSlovenian(58%)andPortuguesefleets(49%)(Figure2.30).

33

EU Fleet Overview

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Figure2.30TrendsinlabourcostsasapercentageoftotaloperatingcostsbyMSfishingfleets:20082011

Theintensityoffuelusebydifferentsegmentsofthefleetreflectsontherelativeimportanceoffuelcoststooperating costsof fishingvessels.Figure2.31 shows that largescaleanddistantwater fleetsappear tobemoredependenton fuelprices,havinghigher fuel costs to totaloperating cost ratios than the smallscalefleet.Ontheotherhand,smallscalevesselshavehigher labourcosts,accountingforoverhalfofoperatingcosts.

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Labo

urcoststo

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Figure2.31Fuelcostsandlabourcostsasapercentageofoperatingcosts(%)bymainfishingactivity:20082011

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Figure2.32Coststructurebymainfishinggearandvessellength:2011

EconomicperformanceIndicatorsTheamountofGrossValueAdded(GVA),Grossprofitandnetprofit(allexcludingsubsidies)generatedbytheEU fishing fleet23 in2011was3.4billion (a3.8% increase from2010),1.29billion (a7.5% increase from2010)and410million(anincreaseof28%from2010),respectively(Figure2.33).

Figure2.33(right)showsGVA,grossprofitandnetprofitasaproportionoftotalincome.GVAasaproportionofincomedecreasedslightlyfrom53%in2009to49%in2010to48%in2011.Grossprofitasaproportionofincomehasremainedrelativelysteadyataround18%overthelast3years,whilenetprofitasaproportionofincomeincreasedsteadilyfrom1%in2008to6%in2011.

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Figure2.33EUfleeteconomicperformanceindicators20082011

AnalysisofeconomicperformancebyMember State revealsamixedpicture (Table2.2 formain indicatortotals for allMember States in 2011). Thirteen out of 19Member States (forwhich datawas available)generatedanetprofitin2011.TheremainingsixMemberStates(Bulgaria,Ireland,Finland,Germany,MaltaandSlovenia)generatednegativenetprofitsin2011.

TheSpanishfleetgeneratedthehighestGVAinabsolutetermsin2011(25%oftheEUtotal),followedbytheFrenchandItalianfleets,eachwith17%oftheEUtotal.Inrelativeterms,thePortuguesefleetgeneratedthehighestlevelofGVAinrelationtoincome(64%),followedbytheDanishfleet(63%)andtheRomanianfleet(61%)(Figure2.34).

23ExcludingdataforGreece,EstoniaandCypruswhichwerenotreported

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EU Fleet Overview

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TheItalianfleetgeneratedthehighestgrossprofitinabsolutetermsin2011(24%oftheEUtotal),followedbytheUKfleet(16%oftheEUtotal)andtheFrenchfleet(14%oftheEUtotal).Inrelativeterms,theDanishfleet generated thehighest levelof grossprofit in relation to income (34%), followedby the Latvian fleet(33%)andthePortuguesefleet(29%)(Figure2.34).

TheUKfleetgeneratedthehighestnetprofitinabsolutetermsin2011(38%oftheEUtotal),followedbytheFrenchfleet(26%oftheEUtotal)andtheItalianfleet(19%oftheEUtotal).Inrelativeterms,theLatvianfleetgeneratedthehighest levelofnetprofit inrelationto income (28%),followedbytheRomanian fleet (17%)andtheUKfleet(16%)(Figure2.34).

ApartfromtheexclusionofCyprus,EstoniaandGreece,resultsforBulgariaandMaltawerealsoomittedfromFigure2.34due to issues thatmaybe related todataquality.According toBulgariasdata submission, thenational fleet generated a net loss as a proportion of total income of 121%. According toMaltas datasubmission, the national fleet generated a net profit margin of 195%. Figure 2.34 also highlights theimportanceofcapitalcostsontheeconomicperformanceofsomeMSfishingfleets.

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Figure2.34EUMemberStateseconomicperformanceindicatorsin2011.


Table2.2MainindicatortotalsforEUMemberStatesfishingfleetsin2011

Numberof

vessels

GrossTonnage

(1000GT)

Kilowatts(1000kW) Totaljobs FTEs

Energyconsumption(millionlitres)

DaysatSea(thousand)

Weightoflandings

(thousandtonnes)

Landedvalue(million)

Income(million)

GVA(million)

GrossProfit

(million)Netprofit(million)

FixedAssetvalue

(million)

BEL 89 15.8 51.2 377 342 40.3 17.2 20.1 79.4 82.35 35.9 9.5 0.5 45.1

BGR 1010 5.0 33.7 3276 1668 1.1 16.1 7.6 2.7 2.70 1.5 3.1 3.3 0.1

CYP n/a n/a n/a n/a n/a n/a n/a 1.2 8.0 7.99 n/a n/a n/a n/a

DEU 1664 64.6 151.4 1639 1258 41.6 109.3 78.1 125.5 129.63 57.8 14

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