IDEAS home Printed from https://ideas.repec.org/a/mup/actaun/actaun_2012060040407.html
   My bibliography  Save this article

Evaluation of disparities in living standards of regions of the Czech Republic

Author

Listed:
  • Hana Vostrá Vydrová

    (Katedra statistiky, Provozně ekonomická fakulta, Česká zemědělská univerzita v Praze, Kamýcká 129, 165 21 Praha 6 - Suchdol, Česká republika)

  • Zuzana Novotná

    (Katedra statistiky, Provozně ekonomická fakulta, Česká zemědělská univerzita v Praze, Kamýcká 129, 165 21 Praha 6 - Suchdol, Česká republika)

Abstract

This paper focuses on regional differences between the regions of the Czech Republic. We will focus on observation of inequalities between indicators of living in different regions of the Czech Republic. The indicators are evaluated at NUTS 3 (regions), using multivariate statistical techniques - factor analysis and cluster analysis. We have identified the twelve indicators of living standards. Base data was reduced using factor analysis on the three emerging factors: 1) basic characteristics, 2) risk groups, 3) environmental variable. Cluster analysis was compiled groups of regions with similar characteristics. Cluster analysis of the breakdown of the county into three clusters based on selected indicators of living standards. They can be described as a group with higher average and lower standard of living. In the first cluster are only two regions (Liberec Region and Karlovy Vary), the third cluster is composed of Prague and the second cluster includes all other regions of the Czech Republic. To verify the evidence of differences between clusters were calculated by multivariate analysis of variance for the various indicators of living standards. An analysis of variance indicates that significant differences between clusters are caused by the standard of living indicators: GDP (regional), the average wage of women, medical equipment, culture entertainment and recreation, higher education, the disabled handicapped and older people. The data were processed in the program STATISTICA 10th.

Suggested Citation

  • Hana Vostrá Vydrová & Zuzana Novotná, 2012. "Evaluation of disparities in living standards of regions of the Czech Republic," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(4), pages 407-414.
  • Handle: RePEc:mup:actaun:actaun_2012060040407
    DOI: 10.11118/actaun201260040407
    as

    Download full text from publisher

    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201260040407.html
    Download Restriction: free of charge

    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201260040407.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.11118/actaun201260040407?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    2. Mark Montgomery & Michele Gragnolati & Kathleen Burke & Edmundo Paredes, 2000. "Measuring living standards with proxy variables," Demography, Springer;Population Association of America (PAA), vol. 37(2), pages 155-174, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.
    2. Fernando Castelló-Sirvent & Pablo Pinazo-Dallenbach, 2021. "Corruption Shock in Mexico: fsQCA Analysis of Entrepreneurial Intention in University Students," Mathematics, MDPI, vol. 9(14), pages 1-31, July.
    3. Ravi Prakash & Abhishek Singh, 2014. "Who Marries Whom? Changing Mate Selection Preferences in Urban India and Emerging Implications on Social Institutions," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(2), pages 205-227, April.
    4. Matkovskyy, Roman, 2013. "To the Problem of Financial Safety Estimation: the Index of Financial Safety of Turkey," MPRA Paper 47673, University Library of Munich, Germany.
    5. Jha, Raghbendra & Murthy, K. V. Bhanu, 2003. "An inverse global environmental Kuznets curve," Journal of Comparative Economics, Elsevier, vol. 31(2), pages 352-368, June.
    6. Rodríguez-Fuentes, Carlos Javier & Hernández-López, Montserrat, 1997. "Análisis de diferencias estructurales interregionales determinantes en el impacto de la política monetaria," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 7, pages 141-157, Junio.
    7. Barik, Debasis & Desai, Sonalde & Vanneman, Reeve, 2018. "Economic Status and Adult Mortality in India: Is the Relationship Sensitive to Choice of Indicators?," World Development, Elsevier, vol. 103(C), pages 176-187.
    8. Ivaldi, Enrico, 2013. "Proposal of a country risk index based on a factorial analysis - Una proposta di indice di rischio paese basato sull’analisi fattoriale: una applicazione ai paesi del sud del Mediterraneo e ai paesi d," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 66(2), pages 231-249.
    9. Vesselina Dimitrova & Georgi Marinov & Lino Manosperta, 2019. "Developing Low-Carbon Tourism In Puglia: Case Study Of I. Archeo.S Project," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 2 Year 20, pages 16-32.
    10. Noor Nahar Begum & Sarabia Rahman, 2016. "An Analytical Study on Investors¡¯ Preference towards Mutual Fund Investment: A Study in Dhaka City, Bangladesh," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(10), pages 184-191, October.
    11. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    12. Kinyondo, Abel Alfred & Ntegwa, Magashi Joseph & Masawe, Cresencia Apolinary, 2022. "Socioeconomic Inequality in Maternal Healthcare Services: The Case of Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 10(1), January.
    13. Coppola, A. & Ianuario, S. & Chinnici, G. & Di Vita, G. & Pappalardo, G. & D'Amico, D., 2018. "Endogenous and Exogenous Determinants of Agricultural Productivity: What Is the Most Relevant for the Competitiveness of the Italian Agricultural Systems?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    14. De Nicola, Arianna & Gitto, Simone & Mancuso, Paolo, 2013. "Airport quality and productivity changes: A Malmquist index decomposition assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 67-75.
    15. Pritha Dev & Blessing U. Mberu & Roland Pongou, 2016. "Ethnic Inequality: Theory and Evidence from Formal Education in Nigeria," Economic Development and Cultural Change, University of Chicago Press, vol. 64(4), pages 603-660.
    16. Henk Kiers, 1994. "Simplimax: Oblique rotation to an optimal target with simple structure," Psychometrika, Springer;The Psychometric Society, vol. 59(4), pages 567-579, December.
    17. Dolores Gallardo-Vázquez, 2023. "Attributes influencing responsible tourism consumer choices: Sustainable local food and drink, health-related services, and entertainment," Oeconomia Copernicana, Institute of Economic Research, vol. 14(2), pages 645-686, June.
    18. Assaad, Ragui & Hendy, Rana & Salehi-Isfahani, Djavad, 2019. "Inequality of opportunity in educational attainment in the Middle East and North Africa: Evidence from household surveys," International Journal of Educational Development, Elsevier, vol. 66(C), pages 24-43.
    19. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    20. Samia Badji, 2016. "The Wealth Paradox for Whom? Child Labor and the Identification of Households Excluded from the Land and the Labor Markets in Madagascar," Working Papers 1638, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mup:actaun:actaun_2012060040407. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://mendelu.cz/en/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.