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50 E. Majewski, P. Sulewski, M. Raggi, D. ViaggiTable 2. General characteristics of sampled farmsTabela 2. Ogólna charakterystyka badanej zbiorowości gospodarstwregion/countrySpecification1. Podlaskie (Poland)2. Noord-Holland (Netherlands)3. Macedonia and Thrace (Greece)4. Emilia-Romagna (Italy)5. North East of Scotland (UK)6. Andalusia (Spain)7. South-East Planning Region(Bulgaria)8. Centre (France)9. Midi-Pyrénées (France)10. Lahn-Dill-District (Germany)11/1 Ostprignitz-Ruppin /North--East Brandenburg (Germany)OgółemPL NL GR IT UK ES BG FR1 FR2 DE1 DE2 TotalNumber of farms 249 300 300 300 168 201 273 140 155 117 160 2363Average UAA 25.0 45.4 16.0 25.1 234.1 99.4 143.6 178.5 128.9 41.6 316.1 97.8% of farms byspecialisation% of householdswith non-farmincome on levelcrops 0.8 8.7 33.3 83.9 10.8 86.6 44.7 47.1 19.3 13.7 25 35,7animals 57.8 68 3 8.6 13.7 2.5 32.2 20 36.9 35 21.3 28mixed 41.3 23.4 63.7 7.3 75.7 11 23 32.8 43.8 51.2 53.8 36,3< 30% 3 17 1 47 13 41 7 14 14 81 39 22> 70% 65 60 80 32 59 39 54 49 48 6 33 52% of farms with nonagriculturalactivity10 45.3 12 9 36.9 3 13.7 24.3 21.9 10.7 35.7 19.8Farmer’s age 35 51 49 59 55 54 47 36 44 50 52 49% of responders withat least high school 85 75 22 36 92 44 92 79 61 71 95 66education% of farmersparticipatingin farmer’sorganizations8 78 53 89 52 55 23 72 63 46 44 54Source: CAP-IRE Deliverable no. D2.13-23, 2010.Źródło: Opracowanie projektu CAP-IRE D2.13-23, 2010.ing farming) was given in only 15.4% of cases in Baseline Scenario and 40% in No CAPScenario. Other respondents refused to give unequivocal declarations choosing option“don’t know”.The share of farmers declaring the continuation of farming varies in regions includedin the survey. The largest number of farmers going to continue has been observed in thePodlaskie region (in both scenarios). The lowest number of such farmers has been foundActa Sci. Pol.
Differences in possible reactions of eu farmers from selected european regions... 51100%80%% of farmers60%40%20%0%PLITNLGRBaselineUKESBGFR1FR2No CAPFig. 1. Percentage of farmers declaring continuation of farmingRys. 1. Odsetek rolników deklarujących kontynuację prowadzenia gospodarstwaSource: CAP-IRE Deliverable no. D2.13-23, 2010.Źródło: Opracowanie projektu CAP-IRE D2.13-23, 2010.DE1DE2Totalin Noord-Holland (Netherlands) in the Baseline Scenario and in Lahn-Dill-District (Germany)in the No CAP Scenario.Statistical analysis for the entire sample of farms with the use of the McNerman testpoints out that differences between answers observed in the Baseline and No CAP scenariosare statistically significant on the assumed level α = 0.01 (Table 3).The results of the test indicate that policy scenarios significantly influence potentialdecision on continuation of farming. Only in Noord-Holland (Netherlands) the empiricalvalue of the McNerman test is almost equal to the critical value. Although it might bestill considered as statistically significant difference, practically it suggests, that otherfactors than CAP scenarios may strongly influence decisions about the continuation offarming. In the Noord-Holland province such factor is lack of successor in the family,what comes out of the analysis of reasons for discontinuing farming that are presentedin Table 4.Lack of successor that was the main reason for discontinuation in Noord-Holland, canbe ranked as second important factor in the whole sample – on average this answer wasselected by 19% of farmers who declared they would stop farming in No-CAP scenario.Expectation of low probability was the key factor for 61% of farmers in the sample.Farmers’ declarations about future changes in farm area were differentiated dependingon the CAP scenario (Figure 2). On average the percentage of responders planningto increase area in Baseline scenario was markedly higher than in No-CAP, with someexceptions (Noord-Holland, Macedonia and Thrace and Midi-Pyrénées). In the mostof the regions proportion of farmers declaring an intention to increase farm area underone of the presented scenarios were almost equal. In 3 regions only [Podlaskie (Poland),South-East Planning Region (Bulgaria) and Ostprignitz-Ruppin /North-East Brandenburg(Germany)] the differences were statistically significant (Table 3), what is coherent withthe Figure 2.Oeconomia 10 (1) 2011
Page 6 and 7: 6 A. Gawrońska, S. Paszkowskicultu
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Page 35 and 36: Oeconomia 10 (1) 2011, 35-43EDUCATI
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100 J. Sosnowski, G.A. Ciepiela2007
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102 J. Sosnowski, G.A. CiepielaTabl
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108 J. Sosnowski, G.A. CiepielaOsek
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110 E. SzymańskaProducts by Activi
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112 E. Szymańskatroduced TFI which
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114 E. Szymańskabers of companies
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116 E. SzymańskaTable 3. Tourism v
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118 E. SzymańskaREFERENCESCoccossi
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120 J. WiśniewskaEvery society can
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122 J. WiśniewskaStatistical analy
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124 J. WiśniewskaCommon Agricultur
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126 J. WiśniewskaTable 3. An attem
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128 J. Wiśniewskathe application o
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130 J. Wiśniewskainstitutional cos
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132 J. Wiśniewskaemployed in agric
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134 J. WiśniewskaLong term viabili
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136 J. Wiśniewska--The level of re
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Oeconomia 10 (1) 2011, 139-148INNOV
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Innovativeness of food production e
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Oeconomia 10 (1) 2011, 149-158LOCAL
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Local governance activities in supp
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Oeconomia 10 (1) 2011, 159-169CHANG
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Changes in rural women’s movement
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Ewa SzymańskaTourism function of M
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