| In the section | Articles |
| Title of the article | Economic Activity of Territories: Comparative Analysis of the Spatial Effects Assessing Methods |
| Pages | 41-68 |
| Author 1 |
Venera Maratovna Timiryanova Candidate of Sciences (Economics), Senior Researcher Bashkir State University 3/4, Karl Marx St., Ufa, Bashkortostan, 450076, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0002-1004-0722 |
| Author 2 |
Alexandr Fedorovich Zimin Doctor of Sciences (Economics), Professor, Chief Researcher Bashkir State University 3/4, Karl Marx St., Ufa, Bashkortostan, 450076, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0001-8495-4191 |
| Author 3 |
Kasim Nazifovich Yusupov Doctor of Sciences (Economics), Professor, Chief Researcher Bashkir State University 3/4, Karl Marx St., Ufa, Bashkortostan, 450076, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0002-7699-3817 |
| Abstract | 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 |
| Code | 330.4+332.1 |
| JEL | C01, C40, R11 |
| DOI | https://dx.doi.org/10.14530/se.2021.4.041-068 |
| Keywords | spatial model ♦ hierarchical (multi-level) analysis ♦ hierarchical spatial autoregressive modeling ♦ geographically structured data ♦ administrative division ♦spatial effects ♦ region ♦ Russia |
| Download | |
| For citation | Timiryanova V.M., Zimin A.F., Yusupov K.N. Economic Activity of Territories: Comparative Analysis of the Spatial Effects Assessing Methods. Prostranstvennaya Ekonomika = Spatial Economics, 2021, vol. 17, no. 4, pp. 41–68. https://dx.doi.org/10.14530/se.2021.4.041-068 (In Russian) |
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| Financing | This work is supported by the Ministry of Science and Higher Education of the Russian Federation (scientific code FZWU-2020-0027) |
| Submitted | 17.10.2021 |
| Approved after reviewing | 15.11.2021 |
| Accepted for publication | 25.11.2021 |
| Available online | 24.12.2021 |