Housing in the context of economic and social development of Lithuanian regions

Housing construction plays an important role in the development of the state regions (counties) in Lithuania. Depending on the level of economic development of particular regions, housing directly affects and forms their social environment. Qualitative evaluation of this relationship requires the integration of all criteria describing housing both quantitatively and qualitatively into a single criterion (or indicator). This may be achieved by using multicriteria evaluation methods. The analysis of housing in its relation to Economic and Social Development (ESD) of various regions has shown that regional policy of the state is ineffective. The long-term strategy of economic development approved in 2002 opened new vistas for housing development in the regions.

[1]  L. Scott A poverty indicator system for local government , 2002 .

[2]  Edmundas Kazimieras Zavadskas,et al.  A multiple criteria evaluation of multi-family apartment block's maintenance contractors: I—Model for maintenance contractor evaluation and the determination of its selection criteria , 2006 .

[3]  V. Podvezko,et al.  THE COMPLEX EVALUATION OF ECONOMIC DEVELOPMENT OF THE BALTIC STATES AND POLAND , 2006 .

[4]  Edgar S. Dunn,et al.  Economic and Social Development , 1971 .

[5]  Willem K. Brauers,et al.  What is meant by normalisation in decision making , 2007 .

[6]  Romualdas Ginevičius,et al.  COMPLEX EVALUATION OF ECONOMICAL-SOCIAL DEVELOPMENT OF LITHUANIAN REGIONS , 2001 .

[7]  Edmundas Kazimieras Zavadskas,et al.  Sustainable city compactness evaluation on the basis of GIS and bayes rule , 2006 .

[8]  Valentinas Podvezko,et al.  Determining the level of agreement of expert estimates , 2007 .

[9]  M. Burinskienė,et al.  Comparison of spatial‐temporal regional development and sustainable development strategy in Lithuania , 2004 .

[10]  D. Mullins,et al.  Local Authority Housing Stock Transfer in the UK: From Local Initiative to National Policy , 2002 .

[11]  E. Zavadskas,et al.  Defining the utility and market value of a real estate: A multiple criteria approach , 2007 .

[12]  R. A. Fisher,et al.  Statistical Tables for Biological, Agricultural and Medical Research , 1956 .

[13]  Jurgita Antucheviciene,et al.  Evaluation of Ranking Accuracy in Multi-Criteria Decisions , 2006, Informatica.

[14]  Leonas Ustinovichius,et al.  Development of Software for Multiple Criteria Evaluation , 2003, Informatica.

[15]  E. Zavadskas,et al.  Development of an indicator model and ranking of sustainable revitalization alternatives of derelict property: a Lithuanian case study , 2006 .

[16]  E. Zavadskas,et al.  Evaluating the sustainability of vilnius city residential areas , 2007 .

[17]  J. Yates,et al.  Housing subsidies and income distribution , 1989 .

[18]  R. Ginevičius,et al.  COMPLEX EVALUATION OF EFFICIENCY OF ECONOMICAL ACTIVITIES IN CONSTRUCTION ENTERPRISES , 2000 .

[19]  Valentinas Podvezko,et al.  Agreement of expert estimates , 2005 .

[20]  Joe Flood,et al.  Housing Indicators in Australia: A consultative method , 1993 .

[21]  H. Sivilevičius CRITERIA AND METHODOLOGY OF COMPLEX EVALUATION OF BITUMINOUS CONCRETE MIXER QUALITY , 2001 .

[22]  Audrius Banaitis,et al.  Development of a rational housing model: the Lithuanian case , 2007 .

[23]  Jorge Lopes The impact of the Economic and Monetary Union on the Housing market , 2001 .

[24]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[25]  Edmundas Kazimieras Zavadskas,et al.  The MOORA method and its application to privatization in a transition economy , 2006 .

[26]  J. M. Bevan,et al.  Rank Correlation Methods , 1949 .

[27]  Friedel Peldschus,et al.  The effectiveness of assessments in multiple criteria decisions , 2007 .

[28]  S. Tsenkova,et al.  HOUSING MARKET SYSTEMS IN REFORMING SOCIALIST ECONOMIES: COMPARATIVE INDICATORS OF PERFORMANCE AND POLICY , 2001 .

[29]  Yoshiharu Yamada Affordability Crises in Housing in Britain and Japan , 1999 .

[30]  Willem K. Brauers,et al.  Normalisation in multiobjective optimisation: a general overview , 2007 .

[31]  Jurga Naimaviciene,et al.  Social and regional aspects of housing situation in lithuania , 2004 .

[32]  Min-Yuan Cheng,et al.  Simulation‐enhanced approach for ranking major transport projects , 2006 .

[33]  Richard E. Klosterman,et al.  AHP: Multiple Criteria Evaluation , 1998 .

[34]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[35]  B. Arimah Housing-sector Performance in Global Perspective: A Cross-city Investigation , 2000 .

[36]  Joe Flood,et al.  Urban and Housing Indicators , 1997 .

[37]  Edmundas Kazimieras Zavadskas,et al.  Housing credit access model: The case for Lithuania , 2004, Eur. J. Oper. Res..

[38]  L. Ustinovičius,et al.  APPLICATION OF MULTICRITERIA DECISION METHODS IN RESTORATION OF BUILDINGS IN THE OLD TOWN , 2000 .

[39]  M. Munday,et al.  Building for the Future: Housing-Related Sectors and the Welsh Economy , 2004 .

[40]  Edmundas Kazimieras Zavadskas,et al.  Sensitivity analysis of a simple additive weight method , 2007 .

[41]  K. Gibb Regional Differentiation and the Scottish Private Housebuilding Sector , 1999 .

[42]  Leonas Ustinovichius,et al.  Methods of determining objective, subjective and integrated weights of attributes , 2007 .

[43]  Valentinas Podvezko,et al.  Determining of technological effectiveness of building systems by AHP method , 2004 .

[44]  Valentinas Podvezko,et al.  Some problems of evaluating multicriteria decision methods , 2007 .

[45]  Jurgita Antucheviciene,et al.  Multiple criteria evaluation of rural building's regeneration alternatives , 2007 .