Spatial Correlation and Distribution of the Shadow Economy in Russia
The paper aims to examine the spatial patterns of the distribution of the shadow economy in Russia, as well as to assess the correlation between the scale of the shadow economy and crime statistics. The methodology of spatial data analysis includes three steps. Firstly, we calculated the global Mora...
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| Format: | Article |
| Language: | English |
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Russian Academy of Sciences, Institute of Economics of the Ural Branch
2020-06-01
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| Series: | Экономика региона |
| Subjects: | |
| Online Access: | https://www.economyofregion.com/data/jarticles/3275.pdf |
| _version_ | 1797727039687491584 |
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| author | Ekaterina Nikolaevna Nevzorova Anna Pavlovna Kireenko Igor Anatolevich Mayburov |
| author_facet | Ekaterina Nikolaevna Nevzorova Anna Pavlovna Kireenko Igor Anatolevich Mayburov |
| author_sort | Ekaterina Nikolaevna Nevzorova |
| collection | DOAJ |
| description | The paper aims to examine the spatial patterns of the distribution of the shadow economy in Russia, as well as to assess the correlation between the scale of the shadow economy and crime statistics. The methodology of spatial data analysis includes three steps. Firstly, we calculated the global Moran’s index and established its criteria of relevance. Secondly, we identified clusters of regions using Moran scatterplot. Thirdly, we conducted a correlation analysis of data on the shadow economy (for the period until 2016) and crime statistics (for the period until 2017, considering a time lag between a crime and its detection). The research results confirmed the correlation between the regional shadow economies. The correlated of the spatial cooperation of regions and the scale of the shadow economy is negative: a decrease in shadow economy leads to an increase in cooperation, and vice versa. In the considered period, spatial interaction gains more importance. The shadow economy is present in more than half of the Russian regions, located amid similar entities. Only a quarter of the regions are relatively unaffected by the shadow economies of their neighbours. Thus, we have established the configuration of spatial distribution of the shadow economy in Russia, demonstrating that such economic activity prevails in the western part of the country. This area is surrounded by the “transitional” zone where there is a risk of the spread of the shadow economy. Additionally, we identified isolated centres of shadow activity in Siberia and the Far East, as well as the zones of relative well-being. The findings demonstrate the difficulty in assessing the scale of the regional shadow economy using indirect and model methods due to the regions’ interaction. Moreover, the obtained results argue for the necessity of a targeted approach for creating policies aimed at preventing the regional shadow economy. |
| first_indexed | 2024-03-12T10:54:08Z |
| format | Article |
| id | doaj.art-12812524cd5349789aa934990d86f9ce |
| institution | Directory Open Access Journal |
| issn | 2072-6414 2411-1406 |
| language | English |
| last_indexed | 2024-03-12T10:54:08Z |
| publishDate | 2020-06-01 |
| publisher | Russian Academy of Sciences, Institute of Economics of the Ural Branch |
| record_format | Article |
| series | Экономика региона |
| spelling | doaj.art-12812524cd5349789aa934990d86f9ce2023-09-02T06:34:45ZengRussian Academy of Sciences, Institute of Economics of the Ural BranchЭкономика региона2072-64142411-14062020-06-01162464478http://doi.org/10.17059/2020-2-10Spatial Correlation and Distribution of the Shadow Economy in RussiaEkaterina Nikolaevna Nevzorova 0Anna Pavlovna Kireenko1Igor Anatolevich Mayburov 2Irkutsk State University Baikal State UniversityUral Federal University The paper aims to examine the spatial patterns of the distribution of the shadow economy in Russia, as well as to assess the correlation between the scale of the shadow economy and crime statistics. The methodology of spatial data analysis includes three steps. Firstly, we calculated the global Moran’s index and established its criteria of relevance. Secondly, we identified clusters of regions using Moran scatterplot. Thirdly, we conducted a correlation analysis of data on the shadow economy (for the period until 2016) and crime statistics (for the period until 2017, considering a time lag between a crime and its detection). The research results confirmed the correlation between the regional shadow economies. The correlated of the spatial cooperation of regions and the scale of the shadow economy is negative: a decrease in shadow economy leads to an increase in cooperation, and vice versa. In the considered period, spatial interaction gains more importance. The shadow economy is present in more than half of the Russian regions, located amid similar entities. Only a quarter of the regions are relatively unaffected by the shadow economies of their neighbours. Thus, we have established the configuration of spatial distribution of the shadow economy in Russia, demonstrating that such economic activity prevails in the western part of the country. This area is surrounded by the “transitional” zone where there is a risk of the spread of the shadow economy. Additionally, we identified isolated centres of shadow activity in Siberia and the Far East, as well as the zones of relative well-being. The findings demonstrate the difficulty in assessing the scale of the regional shadow economy using indirect and model methods due to the regions’ interaction. Moreover, the obtained results argue for the necessity of a targeted approach for creating policies aimed at preventing the regional shadow economy.https://www.economyofregion.com/data/jarticles/3275.pdfshadow economyspatial econometricsspatial autocorrelationtax evasiontax crimeseconomic crimesconomic activitiesspatial correlationspatial patternsrussian regions |
| spellingShingle | Ekaterina Nikolaevna Nevzorova Anna Pavlovna Kireenko Igor Anatolevich Mayburov Spatial Correlation and Distribution of the Shadow Economy in Russia Экономика региона shadow economy spatial econometrics spatial autocorrelation tax evasion tax crimes economic crimes conomic activities spatial correlation spatial patterns russian regions |
| title | Spatial Correlation and Distribution of the Shadow Economy in Russia |
| title_full | Spatial Correlation and Distribution of the Shadow Economy in Russia |
| title_fullStr | Spatial Correlation and Distribution of the Shadow Economy in Russia |
| title_full_unstemmed | Spatial Correlation and Distribution of the Shadow Economy in Russia |
| title_short | Spatial Correlation and Distribution of the Shadow Economy in Russia |
| title_sort | spatial correlation and distribution of the shadow economy in russia |
| topic | shadow economy spatial econometrics spatial autocorrelation tax evasion tax crimes economic crimes conomic activities spatial correlation spatial patterns russian regions |
| url | https://www.economyofregion.com/data/jarticles/3275.pdf |
| work_keys_str_mv | AT ekaterinanikolaevnanevzorova spatialcorrelationanddistributionoftheshadoweconomyinrussia AT annapavlovnakireenko spatialcorrelationanddistributionoftheshadoweconomyinrussia AT igoranatolevichmayburov spatialcorrelationanddistributionoftheshadoweconomyinrussia |