Economic Activity of Territories: Comparative Analysis of the Spatial Effects Assessing Methods
The article discusses a hierarchical and spatial approach to assessing the spatial dependence of data. The advantages and disadvantages of each approach and the potential for their combination are determined on the basis of a literature review.The results of the OLS, SAR, SEM, HLM, HSAR models are c...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
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Economic Research Institute of the Far East Branch of the Russian Academy of Sciences
2021-12-01
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| Series: | Prostranstvennaâ Èkonomika |
| Subjects: | |
| Online Access: | http://www.spatial-economics.com/images/spatial-econimics/2021_4/SE.2021.4.041-068.Timiryanova.pdf |
| _version_ | 1818369790105878528 |
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| author | Venera Maratovna Timiryanova Alexandr Fedorovich Zimin Kasim Nazifovich Yusupov |
| author_facet | Venera Maratovna Timiryanova Alexandr Fedorovich Zimin Kasim Nazifovich Yusupov |
| author_sort | Venera Maratovna Timiryanova |
| collection | DOAJ |
| description | The article discusses a hierarchical and spatial approach to assessing the spatial dependence of data. The advantages and disadvantages of each approach and the potential for their combination are determined on the basis of a literature review.The results of the OLS, SAR, SEM, HLM, HSAR models are compared. Despite an interesting set of data (2285 municipalities in the context of 85 constituent entities of the Russian Federation), the emphasis in the work is not on identifying the relationship between the dependent variable and factors, but on comparing spatial effects that can be identified within each of the models under consideration. The calculations showed a significant influence on the dependent variable of the following factors: the share of the average number of employees in the resident population, the volume of investments in fixed assets per capita and the share of the urban population. This result was shown by all the constructed models. In the context of models, the identified spatial effects have their own characteristics. The inclusion of spatial matrices is possible at the upper (for example, the subject of the Russian Federation), lower (for example, the municipal level), or both levels simultaneously. In hierarchical models, spatial relationships are additionally taken into account by grouping the objects of observation on a territorial basis. Calculations have shown that the spatial lag is not significant in all models. Spatial error is significant at the municipal level in the SEM model and at the regional level in the HLM and HSAR models. Additionally, hierarchical models showed a significant influence of the region on the municipalities variation. In general, the results of modeling and evaluating modelsquality are ambiguous. Despite this, the potential for expanding spatial econometrics on the basis of a combination of spatial and hierarchical (multilevel) modeling approaches is noted, and the need to select a model for each case is substantiated, taking into account the significance of spatial and hierarchical effects |
| first_indexed | 2024-12-13T23:29:26Z |
| format | Article |
| id | doaj.art-1b9426872e2c43e88d96911ae27fc34f |
| institution | Directory Open Access Journal |
| issn | 1815-9834 2587-5957 |
| language | Russian |
| last_indexed | 2024-12-13T23:29:26Z |
| publishDate | 2021-12-01 |
| publisher | Economic Research Institute of the Far East Branch of the Russian Academy of Sciences |
| record_format | Article |
| series | Prostranstvennaâ Èkonomika |
| spelling | doaj.art-1b9426872e2c43e88d96911ae27fc34f2022-12-21T23:27:27ZrusEconomic Research Institute of the Far East Branch of the Russian Academy of SciencesProstranstvennaâ Èkonomika1815-98342587-59572021-12-01174416810.14530/se.2021.4.041-068Economic Activity of Territories: Comparative Analysis of the Spatial Effects Assessing MethodsVenera Maratovna Timiryanova0https://orcid.org/0000-0002-1004-0722Alexandr Fedorovich Zimin1https://orcid.org/0000-0001-8495-4191Kasim Nazifovich Yusupov2https://orcid.org/0000-0002-7699-3817Bashkir State UniversityBashkir State UniversityBashkir State UniversityThe article discusses a hierarchical and spatial approach to assessing the spatial dependence of data. The advantages and disadvantages of each approach and the potential for their combination are determined on the basis of a literature review.The results of the OLS, SAR, SEM, HLM, HSAR models are compared. Despite an interesting set of data (2285 municipalities in the context of 85 constituent entities of the Russian Federation), the emphasis in the work is not on identifying the relationship between the dependent variable and factors, but on comparing spatial effects that can be identified within each of the models under consideration. The calculations showed a significant influence on the dependent variable of the following factors: the share of the average number of employees in the resident population, the volume of investments in fixed assets per capita and the share of the urban population. This result was shown by all the constructed models. In the context of models, the identified spatial effects have their own characteristics. The inclusion of spatial matrices is possible at the upper (for example, the subject of the Russian Federation), lower (for example, the municipal level), or both levels simultaneously. In hierarchical models, spatial relationships are additionally taken into account by grouping the objects of observation on a territorial basis. Calculations have shown that the spatial lag is not significant in all models. Spatial error is significant at the municipal level in the SEM model and at the regional level in the HLM and HSAR models. Additionally, hierarchical models showed a significant influence of the region on the municipalities variation. In general, the results of modeling and evaluating modelsquality are ambiguous. Despite this, the potential for expanding spatial econometrics on the basis of a combination of spatial and hierarchical (multilevel) modeling approaches is noted, and the need to select a model for each case is substantiated, taking into account the significance of spatial and hierarchical effectshttp://www.spatial-economics.com/images/spatial-econimics/2021_4/SE.2021.4.041-068.Timiryanova.pdfspatial modelhierarchical (multi-level) analysishierarchical spatial autoregressive modelinggeographically structured dataadministrative divisionspatial effectsregionrussia |
| spellingShingle | Venera Maratovna Timiryanova Alexandr Fedorovich Zimin Kasim Nazifovich Yusupov Economic Activity of Territories: Comparative Analysis of the Spatial Effects Assessing Methods Prostranstvennaâ Èkonomika spatial model hierarchical (multi-level) analysis hierarchical spatial autoregressive modeling geographically structured data administrative division spatial effects region russia |
| title | Economic Activity of Territories: Comparative Analysis of the Spatial Effects Assessing Methods |
| title_full | Economic Activity of Territories: Comparative Analysis of the Spatial Effects Assessing Methods |
| title_fullStr | Economic Activity of Territories: Comparative Analysis of the Spatial Effects Assessing Methods |
| title_full_unstemmed | Economic Activity of Territories: Comparative Analysis of the Spatial Effects Assessing Methods |
| title_short | Economic Activity of Territories: Comparative Analysis of the Spatial Effects Assessing Methods |
| title_sort | economic activity of territories comparative analysis of the spatial effects assessing methods |
| topic | spatial model hierarchical (multi-level) analysis hierarchical spatial autoregressive modeling geographically structured data administrative division spatial effects region russia |
| url | http://www.spatial-economics.com/images/spatial-econimics/2021_4/SE.2021.4.041-068.Timiryanova.pdf |
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