Implications of change management in public administration

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Revista Tinerilor Economişti (The Young Economists Journal) H 1 : Very low developed countries Albania, Bosnia and Herzegovina and Macedonia should not be classified as EU members in the discriminant analysis. The first hypothesis is true. The analysis has confirmed that the very low developed countries are not ready yet for an EU accession. H 2 : Low developed countries Serbia and Montenegro could be classified as EU members in the discriminant analysis. Low developed countries could be classified as EU members, since the discriminant analysis has confirmed this hypothesis. The difference between the very low developed countries and low developed countries is crucial for membership in the EU. H 3 : Relatively developed countries Iceland, Croatia and Turkey are most likely to be classified as EU members. The analysis has confirmed that relatively developed countries are most likely candidates for EU membership, since Croatia and Turkey are classified as EU members. Iceland is not part of this group according to the analysis. H 4 : Countries that are not part of the EU due to political and not economical reasons are most likely to be classified as EU members. The last hypothesis also appears to be true. Norway, Switzerland and Ukraine are not part of the EU due to non economical factors. Since the discriminant analysis considers mostly economic and some demographic variables, these countries are classified as very likely EU members. Variables that mostly contribute to the discrimination are mobile subscriber‟s penetration rate, foreign direct investments and size of the gross domestic product. High mobile penetration rate as indicator of country‟s development, high foreign direct investment inflow and large gross domestic product are key variables for EU membership and area of focus for potential candidate and applicant countries. REFERENCES 1. Anderson, T. E. An introduction to Multivariate Statistical Analysis, Third Edition, New York: John Wiley, 2003 2. Banićević, D. „Business bank‟s discriminatory analysis: conservative or aggressive and Vasić, V. credit policy‟, in ‟SymOgr 2006‟ , Proceedings, Zlatibor, 2006 3. European Commission: „European Commission Enlargements‟, http://ec.europa.eu 4. Garson, D. „Discriminant Analysis from Statnotes: Topics in Multivariate analysis‟, http://faculty.chass.ncsu.edu 5. Hair, J.F., W.C. Multivariate Data Analysis, Sixth Edition, Upper Saddle River, NJ: Black, B.J. Prentice Hall, 2006 Babin, R.E. Anderson and R.L. Tatham 6. Johnsong, N., Applied Multivariate Statistical Analysis, Fifth Edition, Upper and D. Wichern Saddle River, NJ: Prentice Hall, 2002 7. Jovanović M. The economics of European integration – Limits and Prospects, N. Edward Elgar Publishing Limited, pages 828 – 843, 2005 8. Kovačić, Z. Multivarijaciona analiza, Ekonomski fakultet – Beograd, 1994 9. Porter, M.E. „The Competitive Advantage of Corporate Philanthropy‟, Harvard 146
Business Statistics – Economic Informatics and Kramer, Business Review (December 2002): 5-16, 2002 M.R. 10. Vasić, V. and „Discriminant analysis algorithm in clients credit risks estimation‟, Banićević, D. YU INFO 2006, Proceedings, Kopaonik, 2006 11. Welch, B. L. „Note on Discriminant Functions‟, Biometrika, 31: 218 – 220, 1939 12. World Bank: „Key Development Data and Statistics‟, http://web.worldbank.org 147
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YEAR VIII - NO. 15, NOVEMBER 2010
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EDITORIAL The cause of the economic
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TABLE OF CONTENT EDITORIAL 3 CAPITA
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Finances - Accounting CAPITAL STRUC
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Finances - Accounting David Durand
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• To recognizes the capital struc
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13 Finances - Accounting independen
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3. Bierman, H., (Jr), Simidt, S. 4.
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Finances - Accounting MUTATIONS IN
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Credit value (mil lei). Finances -
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Share / Credits value (mil lei) Sha
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Finances - Accounting have sufficie
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Finances - Accounting especially mo
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Finances - Accounting transactions
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29 Finances - Accounting 2. Objecti
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Finances - Accounting in its value.
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Finances - Accounting the change in
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Finances - Accounting CURRENT VIEWS
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Finances - Accounting Knowing the g
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39 Finances - Accounting consolidat
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Finances - Accounting presented ade
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Finances - Accounting METHODOLOGICA
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Finances - Accounting essential obj
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47 Finances - Accounting Regarding
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Finances - Accounting 5. Conclusion
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Finances - Accounting Single curren
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Finances - Accounting 3. Study: The
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Finances - Accounting REFERENCES 1.
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57 Management - Marketing - Tourism
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Management - Marketing - Tourism ch
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Management - Marketing - Tourism 6.
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percents (%) Year Revenues from loc
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