Assessment and Modelling of Spatial Interactions in the Development of Research Personnel in Russian Regions

IF 0.5 Q3 AREA STUDIES Ekonomika Regiona-Economy of Region Pub Date : 2023-01-01 DOI:10.17059/ekon.reg.2023-3-13
I. V. Naumov, N. L. Nikulina
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Abstract

The current spatial heterogeneity of the localisation of research personnel and mutual spatial influences between the main centres of its concentration and neighbouring regions in Central Russia, according to the hypothesis, lead to its further growth in these centres. The present paper assessed the localisation of research personnel using spatial autocorrelation analysis. The spatial interactions between regions were analysed by the method of Anselin, considering various systems for measuring distances. The Granger test was applied to confirm the presence of the established interactions. Additionally, the study built regression models of interregional spatial interactions, assessed the concentration of factors for the development of research personnel in Russian regions and examined relevant efficiency indicators. As a result, the following mutual spatial influences in Russia were determined: between Moscow city and Saint Petersburg, Tver, Bryansk and Vladimir oblasts; between Moscow and Ivanovo, Vladimir, Oryol oblasts and the Chuvash Republic; between Nizhny Novgorod and Tula oblasts; between Saint Petersburg and Tambov, Bryansk, Vladimir, Smolensk and Yaroslavl oblasts. Spatial interactions between the regions of the Ural, Volga and Siberian districts were not identified. This result, along with the increasing dynamics of the concentration of research and development human resources in the central regions, contributes to the deepening of spatial heterogeneity of research personnel in Russia. About 65% of all research personnel in Russia are located in 22 regions, and only 4 regions (cities of Moscow and Saint Petersburg, Moscow and Nizhny Novgorod oblasts) have spatial interactions with the neighbouring regions. 60.5% of research and development human resources are concentrated there. The findings can be used to develop mechanisms for reducing the spatial heterogeneity of the development of research personnel in Russia.
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俄罗斯地区研究人员发展中的空间相互作用的评估和建模
根据该假设,目前研究人员本地化的空间异质性以及研究人员集中的主要中心与俄罗斯中部邻近地区之间的相互空间影响,导致研究人员在这些中心的进一步增长。本文利用空间自相关分析对科研人员的局部性进行了评价。考虑到不同的距离测量系统,用Anselin方法分析了区域间的空间相互作用。采用格兰杰检验来证实所建立的相互作用的存在。构建区域间空间相互作用回归模型,评估俄罗斯地区科研人员发展要素集中度,考察相关效率指标。因此,确定了俄罗斯的以下相互空间影响:莫斯科市与圣彼得堡、特维尔、布良斯克和弗拉基米尔州之间;莫斯科与伊万诺沃州、弗拉基米尔州、奥廖尔州和楚瓦什共和国之间;下诺夫哥罗德州和图拉州之间;在圣彼得堡和坦波夫、布良斯克、弗拉基米尔、斯摩棱斯克和雅罗斯拉夫尔州之间。乌拉尔、伏尔加河和西伯利亚地区之间的空间相互作用尚未确定。这一结果与中部地区研发人力资源日益集中的趋势一起,导致了俄罗斯研究人员空间异质性的加深。俄罗斯约65%的研究人员分布在22个地区,只有4个地区(莫斯科和圣彼得堡的城市,莫斯科和下诺夫哥罗德州)与邻近地区有空间互动。60.5%的研发人力资源集中在这里。研究结果可用于制定降低俄罗斯科研人员发展空间异质性的机制。
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CiteScore
1.80
自引率
20.00%
发文量
23
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