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SOCIO-ECONOMIC DIMENSIONS IN LOCATIONS BY CLUSTERS IDENTIFIED FOR REGISTERED UNEMPLOYED PERSONS AT LAU2 /NUTS 5 LEVEL IN 2013 AND 2010 Abstract : Identifying locations that are part of the LAU2 two types of clusters HH and LL which indicates similarities in the level of unemployment registered, with the same tendency level indicator in neighbourhood values is achieved by spatial statistical analysis method Local Indicators of Spatial Association LISA (Anselin 1995, 1996) and calculated in Geoda Software. Each location LAU2’s type (national, HH or LL) is profiled as calculated in SPSS by the statistical mean of characteristics relevant indicators to the labour market: The number of registered unemployed, number of employees, average population density / km2, average number of people entering the LAU2 following the change of domicile by reference environment and national levels in 2010 and 2013 in Romania. Data source is provided by National Institute of Statistic INS – TEMPO online database, socio-economic indicators detailed level LAU2 / NUTS 5, with a selection for 2010 and 2013. These research results have been achieved in the Project NUCLEU PN - 420 118: Spatial distribution of market indicators cohesion policy, made in 2014 and in the project DYNAHU

Author

Listed:
  • Cristina LINCARU

    (National Scientific Research Institute for Labour and Social Protection, Romania)

  • Vasilica CIUCÄ‚

    (National Scientific Research Institute for Labour and Social Protection, Romania)

  • SperanÈ›a PIRCIOG

    (National Scientific Research Institute for Labour and Social Protection, Romania)

  • Draga ATANASIU

    (National Scientific Research Institute for Labour and Social Protection, Romania)

  • Beatrice CHIRIAC

    (National Scientific Research Institute for Labour and Social Protection, Romania)

Abstract

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  • Cristina LINCARU & Vasilica CIUCÄ‚ & SperanÈ›a PIRCIOG & Draga ATANASIU & Beatrice CHIRIAC, 2015. "SOCIO-ECONOMIC DIMENSIONS IN LOCATIONS BY CLUSTERS IDENTIFIED FOR REGISTERED UNEMPLOYED PERSONS AT LAU2 /NUTS 5 LEVEL IN 2013 AND 2010 Abstract : Identifying locations that are part of the LAU2 two ty," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 4(Special I), pages 1-34, august.
    • Handle: RePEc:scm:ecofrm:v:4:y:2015:i:s1:p:34
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    References listed on IDEAS

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    1. Cristina LINCARU & Speranta PIRCIOG & Vasilica CIUCÃ & Draga ATANASIU & Beatrice CHIRIAC, 2015. "A Territorial Profile Of Public Expenditures At Lau 2 Level, For 2007-2013 Period In Romania," The USV Annals of Economics and Public Administration, Stefan cel Mare University of Suceava, Romania, Faculty of Economics and Public Administration, vol. 15(1(21)), pages 2014-2213, June.
    2. Manfred M. Fischer & Jinfeng Wang, 2011. "Spatial Data Analysis," SpringerBriefs in Regional Science, Springer, number 978-3-642-21720-3, March.
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    4. Cristina LINCARU & Draga ATANASIU, 2015. "The Townsend Deprivation Index Variation As Indicator Of Periurban Areas Development," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 4(1), pages 1-17, JULY.
    5. Cristina Lincaru & Draga Atanasiu, 2014. "Periurban Areas And Population Density Clustering Model," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 8(2), pages 29-44, DECEMBER.
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    7. ANTONESCU Daniela, 2012. "Measuring Regional Convergence - An Application To The European Union And Romania," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 0(1), pages 46-59.
    8. Antonescu, Daniela, 2012. "Identifying regional disparities in Romania: a convergence process perspective in relation to European Union's territorial structures," MPRA Paper 56896, University Library of Munich, Germany.
    9. Antonescu, Daniela, 2012. "Identificarea Disparitatilor Si Convergentei Economice Regionale În Uniunea Europeana Si În România," Studii Economice 120528, Institutul National de Cercetari Economice (INCE).
    10. Cristina Lincaru & Vasilica Ciucã, 2011. "The Geographical Distribution Of Unemployment At Localities Desegregation Level.Case Study For South Muntenia Region - Romania," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 5(2), pages 76-91, DECEMBER.
    11. Don J. Webber & Gail Pacheco, 2010. "Getting people out of unemployment: A spatial perspective across Auckland," Working Papers 1008, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    12. Maria Cracolici & Miranda Cuffaro & Peter Nijkamp, 2009. "A spatial analysis on Italian unemployment differences," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 275-291, July.
    13. Cristina LINCARU & Vasilica CIUCA & Draga ATANASIU, 2015. "THE TENDENCY IDENTIFICATION OF OVERALL CLUSTERING OF REGISTERED UNEMPLOYMENT AT TERRITORIAL ADMINISTRATIVE UNIT LEVEL - UAT2 IN ROMANIA (International Conference “EUROPEAN PERSPECTIVE OF LABOR MARKET ," Institute for Economic Forecasting Conference Proceedings 141104, Institute for Economic Forecasting.
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    Cited by:

    1. Cristina LINCARU & Speranta PÎRCIOG & Draga Atanasiu, 2016. "A Model Of A System Of Monitoring And Alert System Of The Risk Of Unemployment – Romanian Case," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(3), pages 125-145, December.
    2. Cristina LINCARU & Speranta PÃŽRCIOG & Draga Atanasiu, 2016. "A Model Of A System Of Monitoring And Alert System Of The Risk Of Unemployment €“ Romanian Case," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(3), pages 125-145, December.

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