Assessment of the Readiness of Regional Transport Systems for Digital Transformation
| Autor: | Yuliya Myslyakova, Natalia Matushkina |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Economy of Region. 18:802-819 |
| ISSN: | 2411-1406 2072-6414 |
| DOI: | 10.17059/ekon.reg.2022-3-13 |
| Popis: | While the problem of digital transformation of the economy requires digital maturity of com- panies, the level, readiness and capabilities of individual industries, sectors and enterprises for such a transformation differ. The events of 2020 and emerging social and economic restrictions have increased the relevance of digital transformation, leading to the transition to new services, platforms, business models, as well as to the development of digital systems. We believe that the regional potential for accelerated digitalisation is not fully realised in the current and projected periods. The study aims to substantiate and develop a new approach to assessing the readiness of regional transport systems for digital transformation and identifying regions in which the potential of digital development is not fully exploited. Several approaches were used in the research, such as the index method, statistical methods (including standard deviation), the principal component method for selecting and evaluating indicators to create a composite index, etc. The study utilised data from the Federal State Statistics Service and its territorial departments, the Ministry of Digital Development of the Russian Federation, the Unified Interdepartmental Statistical Information System (EMISS), departmental statistics (JSC Russian Railways, the Federal Air Transport Agency (Rosaviatsia), Federal Road Transport Agency (Rosavtodor), etc.) for 2020. In particular, the proposed methodological approach was tested in the industrially developed regions of the Russian Federation. At the first stage of the assessment, industrialised regions were divided into 5 groups according to the readiness of transport systems for digital transformation (extremely low, low, moderate, high, extremely high). The group with the lowest values of indicators included Vologda, Volgograd, and Irkutsk oblasts. A low level of readiness was recorded in Novgorod, Kaluga and Omsk oblasts and Krasnoyarsk krai. The largest group of regions with a moderate readiness index included seven regions: Vladimir, Yaroslavl, Leningrad, Rostov, Samara oblasts, Perm krai and the Republic of Bashkortostan. Lipetsk, Murmansk and Chelyabinsk oblasts are characterised by high readiness, while Nizhny Novgorod, Sverdlovsk and Moscow oblasts have an extremely high level of readiness. At the second stage, the regions were distributed according to the deviation of the level of digitalisation from the level of readiness of the transport system for digital transformation. As a result, the study revealed the potential of digital development of transport systems in industrialised regions. The obtained findings can be used by state and local authorities to establish directions for national, regional and municipal policies to accelerate the digital transformation of the transport system and improve the efficiency of industry regulation. |
| Databáze: | OpenAIRE |
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