moes - identifying space

8/7/2019 Moes - Identifying Space

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Contents

1. Abstract.......................................................................................................................... 3

2. Introduction ................................................................................................................... 43. Theory and Hypotheses ................................................................................................ 6

4. Quantitative Data and Measurements ....................................................................... 12

5. Quantitative Results .................................................................................................... 16

6. What is Europe? A Qualitative analysis .................................................................. 20

7. Conclusion ................................................................................................................... 27

8. Bibliography ................................................................................................................ 28


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1. Abstract


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2. Introduction


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3. Theory and Hypotheses


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Transnational activities

Politics


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Ethnicity and identity


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4. Quantitative Data and Measurements4.1. Data


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Frequency %

Gender Male 644 46.3

Female 747 53.7

Age 15-19 107 7.69

20-29 260 18.69

30-39 234 16.82

40-49 263 18.91

50-59 238 17.11

60-74 289 20.78

Education Primary 328 23.58Basic 707 50.83

Higher 356 25.59

SES Lower 188 13.52

Lower-

Middle

241 17.33

Middle 360 25.88

Middle-High 310 22.29

Higher 292 20.99

Ethnicity Estonian 918 66

Russian 405 29.12Other 68 4.89

Total Estonians Russians Other % non-Estonian

Harju county 523277 312042 169325 41910 40.37%

Hiiu county 10118 9955 99 64 1.61%

Ida-Viru county 170719 33668 121486 15565 80.28%

Jgeva county 36922 33355 2783 784 9.66%

Jrva county 36208 33865 1215 1128 6.47%Lne county 27552 24186 2488 878 12.22%


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Lne-Viru county 67375 57406 6999 2970 14.80%

Plva county 31175 29540 1253 382 5.24%

Prnu county 88563 77559 8099 2905 12.43%

Rapla county 36684 34222 1449 1013 6.71%

Saare county 34845 34252 353 240 1.70%

Tartu county 149283 123835 20260 5188 17.05%

Valga county 34265 28322 4289 1654 17.34%

Viljandi county 55877 52684 1920 1273 5.71%

Vru county 38072 35994 1550 528 5.46%

Total 1340935 920885 343568 76482 31.33%

4.2. MeasurementsDependent variable


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Reported identification with Post-national identification

All people living in Estonia 0.4225

Europeans 0.7151

The entire human race 0.5729Nordic persons 0.6322

Independent variables

Mean Minimum Maximum Std. Deviation

Age (0=15) 28.417 0 59 16.668

Education (years) 12.886 2 23 3.128

SES (self-assessment) 2.199 0 4 1.318

Abroad in last 5 years 1.291 0 4 1.163

Friends abroad 0.561 0 2 0.635

Urbanization 2.582 0 5 2.028

Left - right (self-placement)* 3.210 0 6 1.045

Ethnic Estonian 0.660 0 1 0.474

Europhile** 0.003 -3.601 2.779 0.921

Proportion of Estonians in region*** 0.681 0.197 0.984 0.237

Nationalism**** 1.006 -1.391 2.315 0.812

N = 1391 through listwise deletion. * = Missing values are mean substituted, ** = Constructed on thebasis of a factor analysis of connotations with the EU, *** = Source: Statistics Estonia, **** = Factor 1based on reported identifications; see above.


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5. Quantitative Results

Estonians (9A) Russians (9B) Other groups (9C)

b se b se b se

Intercept -.033 (.222) -.339 (.217) -.922 (.707)

Age (0=15) -.005 (.002) -.004* (.002) .002 (.007)

Education (years) .030 (.010) .016 (.012) .035 (.033)

SES (self-assessment) .067 (.023) .095 (.030) .157 (.088)

Urbanization -.039* (.016) .038 (.024) .047 (.053)

Abroad in last 5 years .021 (.027) .073* (.032) .099 (.091)

Friends abroad .203 (.048) .071 (.056) .320* (.157)

Left - right (self-placement; 0 = left) .071* (.028) .025 (.034) -.057 (.094)

Europhile .095 (.032) .032 (.036) .177 (.104)

Proportion of Estonian population inregion

-.251 (.167) -.345* (.162) -.198 (.437)

Nationalism -.253 (.048) -.600 (.053) -.600 (.144)

Adj. R2 .135 .319 .326

N 918 405 68


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Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8

b se b se b se b se b se b se b se b se

Intercept -.442 (.109) -.425 (.109) -.542 (.110) -.567 (.130) -.633 (.133) -.562 (.149) -.442 (.143) -.581 (.152)

Age (0=15) -.007 (.001) -.007 (.001) -.005 (.001) -.004 (.001) -.004 (.001) -.004 (.001) -.004 (.001) -.004 (.001)

Education (years) .033 (.008) .035 (.008) .030 (.008) .028 (.008) .028 (.008) .028 (.008) .026 (.007) .026 (.007)

SES (self-

assessment)

.098 (.019) .096 (.019) .085 (.019) .074 (.019) .073 (.019) .073 (.019) .075 (.018) .079 (.018)

Urbanization -.015 (.011) -.021 (.011) -.023* (.011) -.016 (.012) -.018 (.012) -.016 (.012) .035 (.022)

Abroad in last 5

years

.045* (.022) .039 (.022) .039 (.021) .039 (.021) .037 (.021) .039 (.021)

Friends abroad .187 (.038) .181 (.037) .189 (.037) .191 (.037) .171 (.036) .172 (.036)

Left - right (self-placement) .047* (.022) .037 (.022) .037 (.022) .046* (.021) .049* (.021)

Ethnic Estonian .070 (.025) .065 (.025) .067 (.025) .076 (.024) .077 (.024)

Europhile .117* (.051) .144* (.057) .597 (.067) .835 (.112)

Proportion of Estonian population in region -.118 (.112) -.156 (.107) -.271* (.115)

Nationalism -.401 (.035) -.396 (.035)

Urbanization * Estonian -.072 (.027)

Adj. R2 .069 .070 .091 .105 .108 .108 .184 .187

N=1391, * p


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6. What is Europe? A Qualitative analysis

6.1. Shifting boundaries in post-national Europe


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6.2. Europe as a cultural area


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6.3. Europe as historical areas


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6.4. Experiencing Europe


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Identification with Europe

Who are the Europeans?


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7. Conclusion


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8. Bibliography


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http://jeroenmoes.eu/thesis.html


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moes - identifying space

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