Journal of Siberian Federal University. Humanities & Social Sciences / Spatial Dependence and Neighbourhood Effect: Explaining Economics, Politics, and Society across the World

Full text (.pdf)
Issue
Journal of Siberian Federal University. Humanities & Social Sciences. 2023 16 (9)
Authors
Okunev, Igor Yu.; Tislenko, Maria I.; Kurbanov, Nazar I.
Contact information
Okunev, Igor Yu.: Center for Spatial Analysis in International Relations, MGIMO University Moscow, Russian Federation; Tislenko, Maria I.: Center for Spatial Analysis in International Relations, MGIMO University Moscow, Russian Federation; Kurbanov, Nazar I.: Center for Spatial Analysis in International Relations, MGIMO University Moscow, Russian Federation;
Keywords
spatial dependence; spatial association; Moran’s I; spatial dependence index; neighbourhood effect
Abstract

In this paper the authors present the results of a large-scale study that proposes a holistic approach to assess spatial distribution of various social phenomena across the world. 70 statistical indicators describing the political, economic, military, sociodemographic and ideological and value factors that determine the structure of modern international relations were selected and underwent a set of spatial econometrics procedures. For this purpose, such methodological instruments were chosen as dasymetric mapping, geographical anamorphosis, Moran’s I, local indicators of spatial association clustering (LISA) and multidimensional scaling. The authors illustrate each step with an overview of the obtained results for all or certain indicators, for instance, those which demonstrated statistically significant LISA clustering results for the Balkan countries. Furthermore, the authors proposed Spatial Dependence Index (SDI) to identify where the spatial influence is identified separately from other factors on the examples of such statistical indicators as GDP PPP per capita, religiosity level, suicide rates, etc. The conducted research was aimed to test the methods of spatial econometrics to the political map of the world, it shows a set of tools capable of explaining the changing structure of world politics and revealing the transformations of local clusters in different regions of the world. The authors conclude that the proposed spatial econometrics approach is holistic and helps to identify and interpret state behaviour patterns and, in broad sense, social phenomena through the geographical lens. The findings from this study support the use of GeoDA software and make a significant contribution to understanding the degree of space influence on phenomena distribution and international relations in general

Pages
1616–1629
EDN
ZIGAAI
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/151699

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