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Implications of change management in public administration

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Revista T<strong>in</strong>erilor Economişti (The Young Economists Journal)<br />

H<br />

1<br />

: Very low developed countries Albania, Bosnia and Herzegov<strong>in</strong>a and<br />

Macedonia should not be classified as EU members <strong>in</strong> the discrim<strong>in</strong>ant analysis.<br />

The first hypothesis is true. The analysis has confirmed that the very low<br />

developed countries are not ready yet for an EU accession.<br />

H<br />

2<br />

: Low developed countries Serbia and Montenegro could be classified as<br />

EU members <strong>in</strong> the discrim<strong>in</strong>ant analysis.<br />

Low developed countries could be classified as EU members, s<strong>in</strong>ce the<br />

discrim<strong>in</strong>ant analysis has confirmed this hypothesis. The difference between the very<br />

low developed countries and low developed countries is crucial for membership <strong>in</strong> the<br />

EU.<br />

H<br />

3<br />

: Relatively developed countries Iceland, Croatia and Turkey are most<br />

likely to be classified as EU members.<br />

The analysis has confirmed that relatively developed countries are most likely<br />

candidates for EU membership, s<strong>in</strong>ce Croatia and Turkey are classified as EU<br />

members. Iceland is not part <strong>of</strong> this group accord<strong>in</strong>g to the analysis.<br />

H<br />

4<br />

: Countries that are not part <strong>of</strong> the EU due to political and not economical<br />

reasons are most likely to be classified as EU members.<br />

The last hypothesis also appears to be true. Norway, Switzerland and Ukra<strong>in</strong>e<br />

are not part <strong>of</strong> the EU due to non economical factors. S<strong>in</strong>ce the discrim<strong>in</strong>ant analysis<br />

considers mostly economic and some demographic variables, these countries are<br />

classified as very likely EU members.<br />

Variables that mostly contribute to the discrim<strong>in</strong>ation are mobile subscriber‟s<br />

penetration rate, foreign direct <strong>in</strong>vestments and size <strong>of</strong> the gross domestic product. High<br />

mobile penetration rate as <strong>in</strong>dicator <strong>of</strong> country‟s development, high foreign direct<br />

<strong>in</strong>vestment <strong>in</strong>flow and large gross domestic product are key variables for EU<br />

membership and area <strong>of</strong> focus for potential candidate and applicant countries.<br />

REFERENCES<br />

1. Anderson, T. E. An <strong>in</strong>troduction to Multivariate Statistical Analysis, Third Edition,<br />

New York: John Wiley, 2003<br />

2. Banićević, D. „Bus<strong>in</strong>ess bank‟s discrim<strong>in</strong>atory analysis: conservative or aggressive<br />

and Vasić, V. credit policy‟, <strong>in</strong> ‟SymOgr 2006‟ , Proceed<strong>in</strong>gs, Zlatibor, 2006<br />

3. European Commission: „European Commission Enlargements‟,<br />

http://ec.europa.eu<br />

4. Garson, D. „Discrim<strong>in</strong>ant Analysis from Statnotes: Topics <strong>in</strong> Multivariate<br />

analysis‟, http://faculty.chass.ncsu.edu<br />

5. Hair, J.F., W.C. Multivariate Data Analysis, Sixth Edition, Upper Saddle River, NJ:<br />

Black, B.J. Prentice Hall, 2006<br />

Bab<strong>in</strong>, R.E.<br />

Anderson and<br />

R.L. Tatham<br />

6. Johnsong, N., Applied Multivariate Statistical Analysis, Fifth Edition, Upper<br />

and D. Wichern Saddle River, NJ: Prentice Hall, 2002<br />

7. Jovanović M. The economics <strong>of</strong> European <strong>in</strong>tegration – Limits and Prospects,<br />

N.<br />

Edward Elgar Publish<strong>in</strong>g Limited, pages 828 – 843, 2005<br />

8. Kovačić, Z. Multivarijaciona analiza, Ekonomski fakultet – Beograd, 1994<br />

9. Porter, M.E. „The Competitive Advantage <strong>of</strong> Corporate Philanthropy‟, Harvard<br />

146

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