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Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index

Author

Listed:
  • Yuriy Vladimirovich Pavlov

    (Samara State Economic University)

  • Elena Nikolaevna Koroleva

    (Samara State Economic University)

Abstract

In the present work, the authors demonstrate the possibility of using Moran’s index and its components on the example of Samara region. As area units the study employs 37 municipalities of the 1st level - 10 urban districts and 27 municipal townships. Using the global Moran’s index the researchers construct a spatial scatter plot and reveal four territorial clusters: kernels, the satellite-counterbalance, the periphery and areas outside the influence of kernels and the satellite-counterbalance. Next, using the local Moran’s index the authors determine six sub clusters: kernels, the satellite-counterbalance, the area of profound effect of kernels and the satellite-counterbalance, the area of low impact of kernels and the satellite-counterbalance, the kernels’ counterweight and areas outside the influence of kernels and the satellite-counterbalance. The local Moran’s index decomposition helps to identify areas of influence of both the Samara city kernel and the integrated system of Samara and Tolyatti.

Suggested Citation

  • Yuriy Vladimirovich Pavlov & Elena Nikolaevna Koroleva, 2014. "Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 3, pages 95-110.
    • Handle: RePEc:far:spaeco:y:2014:i:3:p:95-110
    DOI: 10.14530/se.2014.3.95-110
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    Cited by:

    1. Petrov, Mikhail & Serkov, Leonid & Kozhov, Konstantin, 2021. "Analysis of the spatial features of regional power consumption in the Russian Federation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 5-27.

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