Digitalisation of Industrial Production in the Russian Regions: Spatial Relationships
Digitalisation is a new global trend that significantly influences the economic and social development of various territorial systems (from municipal to macroeconomic level). We hypothesise that the digital transformation of industrial enterprises is becoming a key factor of territorial competit...
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| Format: | Article |
| Language: | English |
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Russian Academy of Sciences, Institute of Economics of the Ural Branch
2020-09-01
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| Series: | Экономика региона |
| Subjects: | |
| Online Access: | https://www.economyofregion.com/data/jarticles/3307.pdf |
| _version_ | 1797766115513860096 |
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| author | Ilya V. Naumov Julia V. Dubrovskaya Elena V. Kozonogova |
| author_facet | Ilya V. Naumov Julia V. Dubrovskaya Elena V. Kozonogova |
| author_sort | Ilya V. Naumov |
| collection | DOAJ |
| description | Digitalisation is a new global trend that significantly influences the economic and social development of various territorial
systems (from municipal to macroeconomic level). We hypothesise that the digital transformation of industrial enterprises is
becoming a key factor of territorial competitiveness that determines regional development prospects and the possibility of increasing
the growth rate of the national economy. To substantiate this hypothesis, we examined the spatial relationships, which emerge
when industrial enterprises introduce digital technologies at the regional level, as well as assessed the impact of digitalisation
processes on the renewal of the human resource capacity of the regional industry. For analysing the digital modernisation of the
regional industry, we used official statistics on the share of organisations using radio-frequency identification (RFID). We chose
this particular indicator because RFID-technology is the closest to cyber-physical systems, which enable the so-called smart
production (the main indicator of the fourth industrial revolution). Using the global and local Moran’s indexes and the migration
matrix of spatial weights, we studied the spatial heterogeneity of the digital industry transformation across the Russian regions.
Anselin’s local autocorrelation matrix was applied to analyse inter-regional relationships, which emerge when manufacturing
enterprises use of digital technologies. The calculated negative spatial autocorrelation index proves that digitalisation processes
in industrial production have a high spatial heterogeneity: only a small part of the regions is characterised by a high level
of RFID use by manufacturing enterprises. Using the migration flow matrix of graduates, we revealed that the constituent
entities of the Russian Federation differ not only in indicators of using digital technologies but also in attractiveness to young,
highly qualified personnel. The results of the spatial analysis confirm that the introduction of smart production technologies by
industrial enterprises significantly influences the progressive socio-economic development of territories. This conclusion opens
up new topics for research, including the theory of regional economic growth and the issues of transformation of the digital space
of the national economic system. |
| first_indexed | 2024-03-12T20:20:44Z |
| format | Article |
| id | doaj.art-adc95b95911645f8b085f7256ee8c1cd |
| institution | Directory Open Access Journal |
| issn | 2072-6414 2411-1406 |
| language | English |
| last_indexed | 2024-03-12T20:20:44Z |
| publishDate | 2020-09-01 |
| publisher | Russian Academy of Sciences, Institute of Economics of the Ural Branch |
| record_format | Article |
| series | Экономика региона |
| spelling | doaj.art-adc95b95911645f8b085f7256ee8c1cd2023-08-02T01:00:59ZengRussian Academy of Sciences, Institute of Economics of the Ural BranchЭкономика региона2072-64142411-14062020-09-01163896910https://doi.org/10.17059/ekon.reg.2020-3-17Digitalisation of Industrial Production in the Russian Regions: Spatial RelationshipsIlya V. Naumov0Julia V. Dubrovskaya1Elena V. Kozonogova2Institute of Economics of the Ural Branch of RASPerm National Research Polytechnic UniversityPerm National Research Polytechnic UniversityDigitalisation is a new global trend that significantly influences the economic and social development of various territorial systems (from municipal to macroeconomic level). We hypothesise that the digital transformation of industrial enterprises is becoming a key factor of territorial competitiveness that determines regional development prospects and the possibility of increasing the growth rate of the national economy. To substantiate this hypothesis, we examined the spatial relationships, which emerge when industrial enterprises introduce digital technologies at the regional level, as well as assessed the impact of digitalisation processes on the renewal of the human resource capacity of the regional industry. For analysing the digital modernisation of the regional industry, we used official statistics on the share of organisations using radio-frequency identification (RFID). We chose this particular indicator because RFID-technology is the closest to cyber-physical systems, which enable the so-called smart production (the main indicator of the fourth industrial revolution). Using the global and local Moran’s indexes and the migration matrix of spatial weights, we studied the spatial heterogeneity of the digital industry transformation across the Russian regions. Anselin’s local autocorrelation matrix was applied to analyse inter-regional relationships, which emerge when manufacturing enterprises use of digital technologies. The calculated negative spatial autocorrelation index proves that digitalisation processes in industrial production have a high spatial heterogeneity: only a small part of the regions is characterised by a high level of RFID use by manufacturing enterprises. Using the migration flow matrix of graduates, we revealed that the constituent entities of the Russian Federation differ not only in indicators of using digital technologies but also in attractiveness to young, highly qualified personnel. The results of the spatial analysis confirm that the introduction of smart production technologies by industrial enterprises significantly influences the progressive socio-economic development of territories. This conclusion opens up new topics for research, including the theory of regional economic growth and the issues of transformation of the digital space of the national economic system.https://www.economyofregion.com/data/jarticles/3307.pdfdigital transformationindustrial enterpriserfid-technologymigration flow matrixmoran’s indexspatial autocorrelationlocal index of spatial autocorrelationspatial heterogeneityhighly qualified personneldigital space |
| spellingShingle | Ilya V. Naumov Julia V. Dubrovskaya Elena V. Kozonogova Digitalisation of Industrial Production in the Russian Regions: Spatial Relationships Экономика региона digital transformation industrial enterprise rfid-technology migration flow matrix moran’s index spatial autocorrelation local index of spatial autocorrelation spatial heterogeneity highly qualified personnel digital space |
| title | Digitalisation of Industrial Production in the Russian Regions: Spatial Relationships |
| title_full | Digitalisation of Industrial Production in the Russian Regions: Spatial Relationships |
| title_fullStr | Digitalisation of Industrial Production in the Russian Regions: Spatial Relationships |
| title_full_unstemmed | Digitalisation of Industrial Production in the Russian Regions: Spatial Relationships |
| title_short | Digitalisation of Industrial Production in the Russian Regions: Spatial Relationships |
| title_sort | digitalisation of industrial production in the russian regions spatial relationships |
| topic | digital transformation industrial enterprise rfid-technology migration flow matrix moran’s index spatial autocorrelation local index of spatial autocorrelation spatial heterogeneity highly qualified personnel digital space |
| url | https://www.economyofregion.com/data/jarticles/3307.pdf |
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