IDEAS home Printed from https://ideas.repec.org/a/vrs/mfitdj/v1y2018i1p12-28n2.html
   My bibliography  Save this article

Introduction in the Shopping Centre Sector from Romania - a Brief Inventory of the 24 Biggest Cities - as of July 2017

Author

Listed:
  • Micu Cosmin Bogdan

    (Babeş-Bolyai University, Faculty of Economics and Business Administration, Cluj-Napoca, Romania)

Abstract

First years of specialised retail (in terms of department stores or shopping centres) either that we discuss of the period before the communist regime or that during the regime period itself it is a reality that both benefit from few relevant evidences. As a parallel to those times, the time frame starting from 1990, is the one that provides us with many more details, and like this allowing us to develop an accurate portrait of those retail days. The objectives of the current study is to identify the GLA distribution in the panel of the evaluated cities (as in comparison to the Activ Property Services - APS study) and starting from here to illustrate the existing retail agglomeration in those 24 major cities of Romania. The work behind the proposed paper implied a market research using personal expertise for this field, internet resources, retail magazines, specialised retail agency studies so that to be able to point out, as accurately as possible, all relevant information related to the retail field of activity. Among the conclusions that this study provides, starting with the analysis of the existing shopping centre stock (in the major cities of Romania) and comparing these results with those from the research conducted by APS, in 2017, we find out that more than 77% of the entire GLA of this retail sector is located in those 24 major cities analysed in the current study.

Suggested Citation

  • Micu Cosmin Bogdan, 2018. "Introduction in the Shopping Centre Sector from Romania - a Brief Inventory of the 24 Biggest Cities - as of July 2017," Marketing – from Information to Decision Journal, Sciendo, vol. 1(1), pages 12-28, January.
    • Handle: RePEc:vrs:mfitdj:v:1:y:2018:i:1:p:12-28:n:2
    DOI: 10.2478/midj-2018-0002
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/midj-2018-0002
    Download Restriction: no
    File URL: https://libkey.io/10.2478/midj-2018-0002?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
    ---><---

    References listed on IDEAS

    as
    1. Dolega, Les & Pavlis, Michalis & Singleton, Alex, 2016. "Estimating attractiveness, hierarchy and catchment area extents for a national set of retail centre agglomerations," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 78-90.
    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. Paul Cheshire & Christian Hilber & Piero Montebruno & Rosa Sanchis-Guarner, 2018. "Take Me to the Centre of Your Town! Using Micro-geographical Data to Identify Town Centres," CESifo Economic Studies, CESifo Group, vol. 64(2), pages 255-291.
    2. O'Driscoll, Conor & Crowley, Frank & Doran, Justin & McCarthy, Nóirín, 2022. "Retail sprawl and CO2 emissions: Retail centres in Irish cities," Journal of Transport Geography, Elsevier, vol. 102(C).
    3. Ceren Erdin & Halil Emre Akbaş, 2019. "A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
    4. Les Dolega & Jonathan Reynolds & Alex Singleton & Michalis Pavlis, 2021. "Beyond retail: New ways of classifying UK shopping and consumption spaces," Environment and Planning B, , vol. 48(1), pages 132-150, January.
    5. Pantano, Eleonora & Dennis, Charles, 2019. "Store buildings as tourist attractions: Mining retail meaning of store building pictures through a machine learning approach," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 304-310.
    6. Pantano, Eleonora & Dennis, Charles & De Pietro, Michela, 2021. "Shopping centers revisited: The interplay between consumers’ spontaneous online communications and retail planning," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    7. Haiyan Hao & Yan Wang, 2024. "A Deep Learning Representation of Spatial Interaction Model for Resilient Spatial Planning of Community Business Clusters," Papers 2401.04849, arXiv.org.
    8. Mahama-Musah, Fuseina & Schoutteet, Penelope & Vanhaverbeke, Lieselot, 2021. "Using online data for offline decisions: A geostatistical approach for evaluating the patronage potential of a baby-care retailer," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    9. Andres Sevtsuk & Raul Kalvo, 2018. "Patronage of urban commercial clusters: A network-based extension of the Huff model for balancing location and size," Environment and Planning B, , vol. 45(3), pages 508-528, May.
    10. Song Zhang & Mark Duijn & Arno J. Vlist, 2023. "Tenant Mix and Retail Rents in High Street Shopping Districts," The Journal of Real Estate Finance and Economics, Springer, vol. 67(1), pages 72-107, July.
    11. Gauri, Dinesh K. & Jindal, Rupinder P. & Ratchford, Brian & Fox, Edward & Bhatnagar, Amit & Pandey, Aashish & Navallo, Jonathan R. & Fogarty, John & Carr, Stephen & Howerton, Eric, 2021. "Evolution of retail formats: Past, present, and future," Journal of Retailing, Elsevier, vol. 97(1), pages 42-61.
    12. Patrick Ballantyne & Alex Singleton & Les Dolega & Kevin Credit, 2022. "A framework for delineating the scale, extent and characteristics of American retail centre agglomerations," Environment and Planning B, , vol. 49(3), pages 1112-1128, March.
    13. Yoon, Heeyeun, 2018. "Interrelationships between retail clusters in different hierarchies, land value and property development: A panel VAR approach," Land Use Policy, Elsevier, vol. 78(C), pages 245-257.
    14. Paul Cheshire & Christian Hilber & Piero Montebruno & Rosa Sanchis-Guarner, 2018. "Take Me to the Centre of Your Town! Using Micro-geographical Data to Identify Town Centres," CESifo Economic Studies, CESifo Group, vol. 64(2), pages 255-291.
    15. Fang Wang & Fang-qu Niu, 2019. "Urban Commercial Spatial Structure Optimization in the Metropolitan Area of Beijing: A Microscopic Perspective," Sustainability, MDPI, vol. 11(4), pages 1-18, February.
    16. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Olaru, Doina & Smith, Brett & Taplin, John & Cao, Buyang, 2016. "Enhanced Huff model for estimating Park and Ride (PnR) catchment areas in Perth, WA," Journal of Transport Geography, Elsevier, vol. 54(C), pages 336-348.

    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:vrs:mfitdj:v:1:y:2018:i:1:p:12-28:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.