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Valuation of Lithuanian Cities’ Smartness

Author

Listed:
  • Jurevičienė Daiva

    (Vilnius Gediminas Technical University, Vilnius, Lithuania)

  • Biekšaitė Augustė

    (Vilnius Gediminas Technical University, Vilnius, Lithuania)

Abstract

Research purpose. To assess the level of smartness of Lithuanian cities. The article systematizes the theoretical background of a smart city and its criteria, develops the methodology for measuring the level of smart cities and assesses the level of smartness of Lithuanian cities.Design/Methodology/Approach. Methods used for the study: systematization, comparison, generalization, multi-criteria methods (COPRAS, EDAS and TOPSIS). The criteria for the assessment of smartness of cities were distinguished from the analysed scientific literature. Multi-criteria methods are used to determine the smartest city in Lithuania since they allow you to rank alternatives according to various criteria that are rendered dimensionless.Findings. A multi-criteria assessment of the level of smartness of Lithuanian cities has shown that the capital city is leading. However, different results were obtained using different multi-criteria assessment methods in ranking the remaining cities.Originality/Value/Practical implications. Usually, the smartness is analysed for major cities of the world, and Lithuanian cities were not assessed to the knowledge of the authors. The selected criteria for the assessment of the smartness of the cities represent the most often used (foreign direct investment; emission of the pollutant; the number of international immigrants; the ratio of people registered as unemployed to the working-age population; the number of crimes; the number of specialists trained at universities; the number of universities; the number of bus routes; the number of road traffic accidents; the number of IT companies and forest cover). The results could help for policy creators to make decisions on increasing the intelligence of Lithuanian cities, which would help to develop the economy not only in the capital but also in other important cities of the country and raise the quality of life of the inhabitants of those cities.

Suggested Citation

  • Jurevičienė Daiva & Biekšaitė Augustė, 2020. "Valuation of Lithuanian Cities’ Smartness," Economics and Culture, Sciendo, vol. 17(1), pages 104-115, June.
  • Handle: RePEc:vrs:ecocul:v:17:y:2020:i:1:p:104-115:n:10
    DOI: 10.2478/jec-2020-0010
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    References listed on IDEAS

    as
    1. Stefano De Falco, 2019. "Are smart cities global cities? A European perspective," European Planning Studies, Taylor & Francis Journals, vol. 27(4), pages 759-783, April.
    2. Lei Qi & Jing Guo, 2019. "Development of smart city community service integrated management platform," International Journal of Distributed Sensor Networks, , vol. 15(6), pages 15501477198, June.
    3. Rosario Ferrara, 2015. "The Smart City and the Green Economy in Europe: A Critical Approach," Energies, MDPI, vol. 8(6), pages 1-11, May.
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    More about this item

    Keywords

    Smart City; Smart City Criteria; Smart City Development; COPRAS; EDAS and TOPSIS;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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