Abstract
Benchmarking is one of the modern tools for regional development. The tasks of regional benchmarking include determining the leading territory, analyzing the main factors of its success and adapting the identified benefits to the analyzed region. At the same time, a feature of “smart” benchmarking is a preliminary selection of structurally similar territories and further comparison of the object of study only with identical regions.
In the article the algorithm of automation of the procedure of regional benchmarking based on parsing sites for its further use in the software environment for statistical data processing. The algorithm is tested on the example of the subjects of the Russian Federation. Calculation of indicators is carried out by a flexible algorithm, which can be changed at the request of the researcher. The parser receives the calculation formula as input in Python or LaTeX notation and looks for indicators in the collected data suitable for substitution into the formula. When all indicators are collected, the database is calculated and updated. The visualization of the “smart” benchmarking procedure was carried out for the Perm Territory in the form of a geographical map of identical regions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
http://government.ru/docs/28653/. Accessed 03 Aug 2019
Anikanova, M.A., Morgunov, A.F.: Criterial evaluation of the possibility of small businesses business process automation on public cloud platform. Busi. Inform. 3(33), 55–64 (2015)
Kek-Mandzhieva, Z.V.: Automation of accounting and analytical management system as a necessary component of effective enterprise management. Sci. Modernity 35, 183–191 (2015)
Nitsenko, V.S., Vysochinskaya, L.N., Marojko, M.N.: Automated forms of accounting as an instrument of increasing intensity information processing. J. Econ. Bus. 4, 120–122 (2016)
Rabinovich, L.A., Libman, M.L.: The main provisions of the feasibility study of new means of automation of production processes. News of Volgograd State Technical University, no. 1, pp. 7–9 (2004)
Lastochkina, M.A.: Development of methodology and tools for assessing the degree of modernization in Russia’s regions. Probl. Dev. Territory 4(78), 69–79 (2015)
Nemets, K.A.: Automation of regional management processes and the formation of “Electronic Government”. Econ. Sci. 4(127), 85–89 (2011). Scientific and technical statements of the St. Petersburg State Polytechnic University
Nemtsev, A.N., Shtifanov, A.I., Belenko, V.A., Zagorodnyuk, R.A., Nemtsev, S.N., Galtsev, O.V.: Designing the automated information system for monitoring of educational departments and provision the opportunity to use “electronic” services in education sector. Comput. Sci. 13–1(108), 65–76 (2011). Scientific reports of Belgorod State University. Series: Economics
Robozov, S.A., Erunova, M.G., Maltsev, K.V.: Quality assessment of regional and municipal management in an automated information system for monitoring municipalities. J. Sci. Technol. 1, 176–181 (2010)
Vasilieva, E.E.: Modeling language credit risk assessment of banking activity in the Russian regions, based on fuzzy sets methods. Internet J. Sci. Sci. 8(6), 1–18 (2016)
Ryzhkov, O.Y., Bobrov, L.K.: Complex automation of actuarial work of the insurance company. Comput. Sci. Inform. 2, 98–108 (2014). Vestnik of Astrakhan State Technical University. Series: Management
http://www.standardandpoors.com/prot/ratings/articles/ru/ru?articleType=HTML&assetID=1245322330515. Accessed 03 Aug 2019
Solntsev, O.G., Mamonov, M.E., Pestova, A.A., Magomedova, Z.M.: Experience in developing early warning system for financial crises and the forecast of Russia banking sector dynamic in 2012. J. New Econ. Assoc. 4(12), 41–76 (2011)
Groenendijk, N.: EU and OECD benchmarking and peer review compared. In: Laursen, F. (ed.) The EU and Federalism: Polities and Policies Compared, pp. 181–202. Ashgate Publishing Company, Farnham (2010)
Iurcovich, L., Komninos, N., Reid, A.: Mutual Learning Platform: Regional Benchmarking Report: Blueprint for Regional Innovation Benchmarking. European Commission, Brussels (2006)
Koellreuter, C.: Regional Benchmarking as a tool to improve regional foresight. European Commission-Research DG-Directorate K (2002)
Navarro, J., Smart, J.P.: Specialisation benchmarking and assessment: pilot study on wind energy. Publications Office of the European Union, Luxembourg (2017)
http://www.academia.edu/24150494/Policy_learning_through_benchmarking_national_systems_of_competence_building_and_innovation-learning_by_comparing. Accessed 03 Aug 2019
http://s3platform.jrc.ec.europa.eu/regional-benchmarking. Accessed 03 Aug 2019
Dubrovskaya, Y.V., Kudryavtseva, M.R., Kozonogova, E.V.: “Smart” benchmarking as a basis for strategic planning in regional development. Econ. Soc. Changes Facts Trends Forecast 11(3), 110–116 (2018)
https://homepage.cs.uri.edu/~thenry/resources/unix_art/ch09s01.html. Accessed 03 Aug 2019
Acknowledgment
The reported study was funded by RFBR according to the research project № 19-010-00449.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Kurushin, D., Dubrovskaya, J., Rusinova, M., Kozonogova, E. (2020). Automation and Algorithmization of “Smart” Benchmarking of Territories Based on Data Parsing. In: Antipova, T., Rocha, Á. (eds) Digital Science 2019. DSIC 2019. Advances in Intelligent Systems and Computing, vol 1114. Springer, Cham. https://doi.org/10.1007/978-3-030-37737-3_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-37737-3_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37736-6
Online ISBN: 978-3-030-37737-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)