IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i19p7904-d418528.html
   My bibliography  Save this article

Cadastral Land Value Modelling Based on Zoning by Prestige: A Case Study of a Resort Town

Author

Listed:
  • Elena Bykowa

    (Department of Engineering Geodesy, Saint Petersburg Mining University, 21-line, 2, St Petersburg 199106, Russia)

  • Maria Hełdak

    (Department of Spatial Economy, Wrocław University of Environmental and Life Sciences, ul. Grunwaldzka 55, 50-357 Wrocław, Poland)

  • Julia Sishchuk

    (Department of Foreign Languages, Saint Petersburg Mining University, 21-line, 2, St Petersburg 199106, Russia)

Abstract

The article discusses cadastral land valuation in Russian resort towns, a procedure flawed by the fact that it does not take into account territorial prestige. Researchers in Russia and other countries state that it is essential to redistribute the land tax burden as the current situation creates tax injustice, which is reflected in the undervaluation of prestigious areas and the overvaluation of non-prestigious ones in resort towns. Competition for the most prestigious areas in such towns mainly stems from the opportunity for landowners to earn higher rental incomes during the high season. In view of this, the study aims to provide a method for cadastral land valuation in resort towns based on zoning by prestige. The application of the proposed method is demonstrated using the town of Anapa (a Russian resort town by the Black Sea) as a case study. The method is based on several research and analysis methods, including the following: the analytical method, which is used for a preliminary analysis of urban areas to identify the most attractive parts of resort towns; a modification of Saaty’s methodology combined with Pareto analysis, which is used to identify criteria for assessing how prestigious and important a part of the town is; cluster analysis, which is used for ranking areas in resort towns; correlation and regression analysis, which is used for land valuation modelling. The article describes the key criteria for ranking areas in resort towns by prestige, gives a definition of prestige applied to resort town districts, and proposes an equation for calculating the integral indicator of prestige and a method for assessing prestige. The validity of the prestige map that was created for the town of Anapa was proved by analyzing the average market prices for land plots located within the identified zones. The cadastral land valuation models describing land plots in Anapa that are intended for private housing construction can be correctly interpreted and are of acceptable quality.

Suggested Citation

  • Elena Bykowa & Maria Hełdak & Julia Sishchuk, 2020. "Cadastral Land Value Modelling Based on Zoning by Prestige: A Case Study of a Resort Town," Sustainability, MDPI, vol. 12(19), pages 1-26, September.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7904-:d:418528
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/19/7904/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/19/7904/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexey Evgenievich Cherepovitsyn & Alina Alexandrovna Ilinova, 2018. "Methods and Tools of Scenario Planning in Areas of Natural Resources Management," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 434-446.
    2. Demetriou, Demetris, 2018. "Automating the land valuation process carried out in land consolidation schemes," Land Use Policy, Elsevier, vol. 75(C), pages 21-32.
    3. Ştefan Cristian Gherghina & Mihaela Onofrei & Georgeta Vintilă & Daniel Ştefan Armeanu, 2018. "Empirical Evidence from EU-28 Countries on Resilient Transport Infrastructure Systems and Sustainable Economic Growth," Sustainability, MDPI, vol. 10(8), pages 1-34, August.
    4. Daikun Wang & Victor Jing Li, 2019. "Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
    5. Jannet C. Bencure & Nitin K. Tripathi & Hiroyuki Miyazaki & Sarawut Ninsawat & Sohee Minsun Kim, 2019. "Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    6. Uberti, Marlene Salete & Antunes, Mauro Antonio Homem & Debiasi, Paula & Tassinari, Wagner, 2018. "Mass appraisal of farmland using classical econometrics and spatial modeling," Land Use Policy, Elsevier, vol. 72(C), pages 161-170.
    7. Daikun Wang & Victor Jing Li & Huayi Yu, 2020. "Mass Appraisal Modeling of Real Estate in Urban Centers by Geographically and Temporally Weighted Regression: A Case Study of Beijing’s Core Area," Land, MDPI, vol. 9(5), pages 1-18, May.
    8. Francesco Tajani & Pierluigi Morano & Klimis Ntalianis, 2018. "Automated valuation models for real estate portfolios," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 36(4), pages 324-347, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Milyausha R. Pinskaya & Rodion V. Balakin, 2023. "Fiscal Implications of a Complete Conversion to Taxation of Property of Organizations in Russia on the Basis of Cadastral Value," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(4), pages 834-860.

    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. Unel, Fatma Bunyan & Yalpir, Sukran, 2023. "Sustainable tax system design for use of mass real estate appraisal in land management," Land Use Policy, Elsevier, vol. 131(C).
    2. Daikun Wang & Victor Jing Li, 2019. "Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
    3. Daikun Wang & Victor Jing Li & Huayi Yu, 2020. "Mass Appraisal Modeling of Real Estate in Urban Centers by Geographically and Temporally Weighted Regression: A Case Study of Beijing’s Core Area," Land, MDPI, vol. 9(5), pages 1-18, May.
    4. Elena Bykowa & Maria Skachkova & Ivan Raguzin & Irina Dyachkova & Maxim Boltov, 2022. "Automation of Negative Infrastructural Externalities Assessment Methods to Determine the Cost of Land Resources Based on the Development of a “Thin Client” Model," Sustainability, MDPI, vol. 14(15), pages 1-29, July.
    5. Ela Ertunç & Zlatica Muchová & Hrvoje Tomić & Jaroslaw Janus, 2022. "Legal, Procedural and Social Aspects of Land Valuation in Land Consolidation: A Comparative Study for Selected Central and Eastern Europe Countries and Turkey," Land, MDPI, vol. 11(5), pages 1-22, April.
    6. Pedro R. D. Bom & Aitor Goti, 2018. "Public Capital and the Labor Income Share," Sustainability, MDPI, vol. 10(11), pages 1-17, October.
    7. Tezcan, Ahmet & Büyüktaş, Kenan & Akkaya Aslan, Şerife Tülin, 2020. "A multi-criteria model for land valuation in the land consolidation," Land Use Policy, Elsevier, vol. 95(C).
    8. Lenaerts, Bert & Allroggen, Florian & Malina, Robert, 2021. "The economic impact of aviation: A review on the role of market access," Journal of Air Transport Management, Elsevier, vol. 91(C).
    9. A.V. Glotko & I.N. Sycheva & A.N. Dunets & A.L. Poltarykhin & P.V. Zhuravlev & A.A. Tubalets, 2018. "Development of Integration Processes in the Agro-Industrial Complex of the Russian Regions," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 3-15.
    10. Sebastiano Carbonara & Marco Faustoferri & Davide Stefano, 2021. "Real Estate Values and Urban Quality: A Multiple Linear Regression Model for Defining an Urban Quality Index," Sustainability, MDPI, vol. 13(24), pages 1-17, December.
    11. Bin Yang & Zhanqi Wang & Bo Zhang & Di Zhang, 2020. "Allocation Efficiency, Influencing Factors and Optimization Path of Rural Land Resources: A Case Study in Fang County of Hubei Province, China," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
    12. Karol Tucki & Remigiusz Mruk & Olga Orynycz & Andrzej Wasiak & Katarzyna Botwińska & Arkadiusz Gola, 2019. "Simulation of the Operation of a Spark Ignition Engine Fueled with Various Biofuels and Its Contribution to Technology Management," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    13. Alexandru Pavel & Octavian Moldovan, 2019. "Determining Local Economic Development in the Rural Areas of Romania. Exploring the Role of Exogenous Factors," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
    14. Marco Locurcio & Pierluigi Morano & Francesco Tajani & Felicia Di Liddo, 2020. "An Innovative GIS-Based Territorial Information Tool for the Evaluation of Corporate Properties: An Application to the Italian Context," Sustainability, MDPI, vol. 12(14), pages 1-29, July.
    15. Elena Cigu & Daniela Tatiana Agheorghiesei & Anca Florentina Gavriluță (Vatamanu) & Elena Toader, 2018. "Transport Infrastructure Development, Public Performance and Long-Run Economic Growth: A Case Study for the Eu-28 Countries," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
    16. Przemysław Leń & Klaudia Maciąg & Michał Maciąg & Justyna Wójcik-Leń & Katarzyna Kocur-Bera, 2023. "Proposed Algorithm for the Optimisation of the Process of Generating the Geometry of Land Use/Soil Valuation Classes for Land Consolidation," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    17. Glumac, Brano & Herrera-Gomez, Marcos & Licheron, Julien, 2019. "A hedonic urban land price index," Land Use Policy, Elsevier, vol. 81(C), pages 802-812.
    18. Davidmac O. Ekeocha & Jonathan E. Ogbuabor & Anthony Orji, 2022. "Public infrastructural development and economic performance in Africa: a new evidence from panel data analysis," Economic Change and Restructuring, Springer, vol. 55(2), pages 931-950, May.
    19. De Salvo, Maria & Capitello, Roberta & Gaudenzi, Barbara & Begalli, Diego, 2019. "Risk management strategies and residual risk perception in the wine industry: A spatial analysis in Northeast Italy," Land Use Policy, Elsevier, vol. 83(C), pages 47-62.
    20. Simona Burta & Ana-Cristina Nicolescu & Sorana Vãtavu & Emilia Bozga & Oana-Ramona Lobon?, 2022. "Modelling framework of the Tandem Supply Chain Efficiency and Sustainable Financial Performance in the Automotive Industry," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 40(1), pages 201-224.

    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:gam:jsusta:v:12:y:2020:i:19:p:7904-:d:418528. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.