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A Region's Basic Image as a Measure of its Attractiveness


  • Vasilis Angelis

    () (Department of Business Administration, University of the Aegean, 8, Michalon str., 82100 Chios, Greece)

  • Katerina Dimaki

    () (Department of Statistics, Athens University of Economics and Business, 76, Patission str., 10434, Athens, Greece)


The growth or decline of a region depends on its power to pull and retain both business and the right blend of people to run them. This pulling power depends on what we call the "Image" of the region, a variable which expresses the region's present state of development and future prospects and may be defined as a function of a multitude of factors; economic, social and environmental ones. The Image of a region may prove a very useful tool for planning purposes, since it doesn't only give an early diagnosis of any possible changes, sometimes discontinuous, in the region's pattern of development, but it also indicates the reasons for those changes. Hence, it may be used as the basis for designing appropriate measures to assist a region's development. The objective of this paper is to define a region's image, based on an analysis of the business and the residential location process, to identify, through literature, the factors needed to quantify this image and finally, to suggest ways of measuring these factors.

Suggested Citation

  • Vasilis Angelis & Katerina Dimaki, 2011. "A Region's Basic Image as a Measure of its Attractiveness," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Eastern Macedonia and Thrace Institute of Technology (EMATTECH), Kavala, Greece, vol. 4(2), pages 7-33, August.
  • Handle: RePEc:tei:journl:v:4:y:2011:i:2:p:7-33

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    References listed on IDEAS

    1. Michael Freudenberg, 2003. "Composite Indicators of Country Performance: A Critical Assessment," OECD Science, Technology and Industry Working Papers 2003/16, OECD Publishing.
    2. Andy Pike & Andrés Rodriguez-Pose & John Tomaney, 2008. "Local and Regional Development," Economic Geography, Clark University, vol. 84(2), pages 241-242, April.
    3. Camagni, Roberto, 2002. "On the concept of territorial competitiveness: sound or misleading?," ERSA conference papers ersa02p518, European Regional Science Association.
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    Cited by:

    1. Angelis, Vasilis & Angelis-Dimakis, Athanasios & Dimaki, Katerina, 2016. "Identifying Clusters of Regions in the European South, based on their Economic, Social and Environmental Characteristics," REGION, European Regional Science Association, vol. 3, pages 71-102.
    2. Vasileios Angelis & Athanasios Angelis-Dimakis & Katerina Dimaki, 2014. "Identifying Clusters of Regions in the European South, based on their Economic, Social and Environmental Characteristics," ERSA conference papers ersa14p647, European Regional Science Association.
    3. Vasilis Angelis & Athanasios Angelis-Dimakis & Katerina Dimaki, 2013. "The Attractiveness Of The European South As Described By A Cusp And A Butterfly Catastrophe Model," ERSA conference papers ersa13p768, European Regional Science Association.
    4. VASILIS ANGELIS & Athanasios Angelis-Dimakis & Katerina Dimaki, 2012. "The Role Of Environment In A Region’S Sustainable Development As Described By A Butterfly Catastrophe," ERSA conference papers ersa12p1157, European Regional Science Association.

    More about this item


    Region's Image; Region's Attractiveness; Regional Development;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy


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