Analyzing the use of economic and financial indicators in smart cities context
Article No.: 94, Pages 1 - 2
Abstract
Global competitiveness is the main reality for cities in the entire globe. City rankings may bring to cities their reality in comparison to others, which can lead to some positive effects. However, one city should be compared to similar ones. In a previous work, we proposed a method based on financial indicators and clustering, aiming to turn possible to compare similar cities from financial perspective, due to its importance in the reality of a city. This work aims to present a literature review on the use of financial and economic indicators in smart city context. We used a method to construct a bibliometry on this theme, which is present in this work, as well as the obtained results. Hereafter, we present the main works related to our theme, and we finish our work presenting the list of most important financial and economic indicators that we found in literature.
References
[1]
Flavio Barboza, Herbert Kimura, and Edward Altman. 2017. Machine learning models and bankruptcy prediction. Expert Systems with Applications 83 (2017), 405--417.
[2]
Mauricio Barcelos, Flávia Bernardini, André Barcelos, and Guido Vaz Silva. 2017. City Ranking Based on Financial Flux Indicator Clustering. In Proceedings of the 18th Annual International Conference on Digital Government Research. ACM, 452--460.
[3]
Iain Begg. 1999. Cities and competitiveness. Urban studies 36, 5-6 (1999), 795--809.
[4]
Rudolf Giffinger and Haindlmaier Gudrun. 2010. Smart cities ranking: an effective instrument for the positioning of the cities? ACE: Architecture, City and Environment 4, 12 (2010), 7--26.
[5]
Danijela Jacimović, Slobodan Lakić, Milos Rajković, and Tamara Backović Vulić. 2017. Managing external imbalances in Montenegro-will faciliate integration to EU. In MATEC Web of Conferences, Vol. 106. EDP Sciences, 08101.
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Timotej Jagric, Stefan Bojnec, and Vita Jagric. 2015. Optimized spiral spherical self-organizing map approach to sector analysis-The case of banking. Expert Systems with Applications 42, 13 (2015), 5531--5540.
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Alexandre Assaf Neto and Fabiano Guasti Lima. 2008. Investimento em ações: guia teórico e pratico para investidores. Inside Books.
[8]
Michael Porter. 2003. The Economic Performance of Regions. Regional Studies 37 (2003), 549--578.
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Olga Rusetskaya. 2017. Grouping cities based of their socio-economic indicators. Electronic Notes in Discrete Mathematics 58 (2017), 223--230.
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Jeremy J Siegel and Donald GM Coxe. 2002. Stocks for the long run. Vol. 3. McGraw-Hill New York.
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- Analyzing the use of economic and financial indicators in smart cities context
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Published In
May 2018
889 pages
ISBN:9781450365260
DOI:10.1145/3209281
- Conference Chairs:
- Marijn Janssen,
- Soon Ae Chun,
- Vishanth Weerakkody,
- Editors:
- Anneke Zuiderwijk,
- Charles C. Hinnant
Copyright © 2018 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
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Published: 30 May 2018
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dg.o '18
dg.o '18: 19th Annual International Conference on Digital Government Research
May 30 - June 1, 2018
Delft, The Netherlands
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