Comparison of spatial-temporal regional development and sustainable development strategy in lithuania

International Journal of Strategic Property Management

Volumn 8, Issue 3, 2004, Pages 163-176

  Burinskiene, Marija ^a   Rudzkiene, Vitalija ^b  

^a VILNIUS GEDIMINAS TECHNICAL UNIVERSITY   (Lithuania)

^b MYKOLAS ROMERIS UNIVERSITY   (Lithuania)

Author keywords

Multidimensional statistical methods; Regional planning; Significant factors; Sustainable development

Indexed keywords

EID: 85008814475     PISSN: 1648715X     EISSN: 16489179     Source Type: Journal    
DOI: 10.1080/1648715X.2004.9637515     Document Type: Article

References (22)

1. An Agenda 21 for the Baltic Sea region – Baltic 21 series, Nol/98. 34 p.
2. K. A. Bollen, Structural Equation with Latent Variables, Wiley-Interscience, 1989.
3. A. Buhl, P. Zofel, SPSS Version 10, Einfuhrung in die moderne Dateanalyse uner Widows, Addison-Wesley, 2000.
4. M. Burinskiene, D. Dzemydiene, V. Rudzkiene, An Approach for Recognition of Significant Factors for Sustainable Development Strategies, in Proceedings of the International Conference on Modelling and Simulation Business Systems, Vilnius, 2003, p. 90-96.
5. Counties of Lithuania: Economic and Social de velopment, Department of Statistics of Lithuania, Vilnius, 2002.
6. R. Čiegis, Sustainable development and environment, Economical view, Vilnius, 2002, 692 p. (In Lithuanian).
7. Comprehensive Plan of the Territory of the Republic of Lithuania. Approved by Lithuanian Parliament at 2002 10 29, No. 9-1154, Valstybes žinios 2002 U 15, No. 110-4852. (in Lithuanian).
8. V. I. Danilov-Daniljan, K.S. Losev, Ecological Challenge and sustainable development, Moscow: Progress-Tradition, 2000, 416 p. (In Russian).
9. M. W. Danson, Debates and Surveys, Regional Studies, 34(6), 2000, p. 571-580.
10. A. M. Dubrov, V. S. Mchitarian, L. I. Troshin, Multiple statistical methods, Moscow, Finance and Statistic, 1998. (In Russian).
11. D. Dzemydienė, V. Rudzkienė. Multiple Regression Analysis of Crime Pattern Warehouse for Decision Support, Lecture Note in Computer Science, Vol. 2453, Database and Expert systems Applications, Springer, 2002, p. 249-258.
12. B. S. Event, Cluster Analysis, New York: Wiley, 1993.
13. L. Guttman, Image Theory for the Structure of Quatitative Variables, Pyrometrical, 1953, 18, p. 277-296.
14. A. R. Hakstian, W.D. Rogers, R.B. Cattell, The behavior of numbers of factors rules with simulated data, Multivariate Behavioral Research, 17, 1982, p. 193-219.
15. H. F Kaiser, The Varimax Criterion for Analytic Rotation in Factor Analysis, Pyrometrical, 1958, 23, p. 187-200.
16. Sc-Th. Kaisa, B. Christer, ESDP and Spatial Planning and development in the Baltic Countries, Stockholm, Nordregio, 1999, (Nordregio Report 1999:2) 89 p.
17. H. F. Kaiser, The Application of Electronic Computers to Factor Analysis, Educational and Psychological Measurement, 20, 1960, p. 141-151.
18. J. O. Kim, C. V Mueller, Introduction to Factor Analysis, Beverly Hills: Sage Publications, 1978.
19. P. Kline, An Easy guide to Factor Analysis, London: Routledge, 1994.
20. W.P Krijnen, T Wansbeek, J. M. F. Ten Berge, Best Linear Predictors for Factor Scores, Communications in Statistics: Theory and Methods, 25, 1996, p. 3013-3025.
21. Long-tei-m Economic Development Strategy of Lithuania until 2015, Vilnius, 2003, 192 p. (in Lithuanian), www.ukmin.lt/catalogs/33/ strategijos/galutine
22. R. J. Wherry, Contributions to correlation analysis, New York: Academic Press, 1984.