| In the section | Articles |
| Title of the article | Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index |
| Pages | 95-110 |
| Author 1 | Yuriy Vladimirovich Pavlov Lecturer Samara State Economic University 141 Soviet Army Street, Samara, Russia, 443090 This email address is being protected from spambots. You need JavaScript enabled to view it. |
| Author 2 | Elena Nikolaevna Koroleva Doctor of Economics, Professor. Samara State Economic University 141 Soviet Army Street, Samara, Russia, 443090 This email address is being protected from spambots. You need JavaScript enabled to view it. |
| 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. |
| Code | 332 |
| DOI | 10.14530/se.2014.3.95-110 |
| Keywords | ♦ spatial autocorrelation ♦ global Moran’s index ♦ local Moran’s index ♦ cluster ♦ Samara region |
| Download | SE.2014.3.095-110.Pavlov.pdf |
| For citation | Pavlov Y.V., Koroleva E.N. Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index. Prostranstvennaya Ekonomika = Spatial Economics, 2014, no. 3, pp. 95-110. DOI: 10.14530/se.2014.3.95-110. (In Russian). |
| References | 1. Automotive Portal of Cargo. Available at: www.avtodispetcher.ru (accessed 14 Maj 2014) (In Russian). 2. Automotive Portal of Cargo. Available at: www.samara-oblast.ru (accessed 10 Mart 2014) (In Russian). 3. Balash O.S. Spatial Analysis of Accommodation Trade Enterprises of Saratov. Povolzhskiy Torgovo-Ekonomicheskiy Zhurnal [Volga Trade and Economic Journal], 2010, no. 4, pp. 13–22. (In Russian). 4. Belyaeva A.V. Spatial Models in Mass Appraisal of Real Estate. Kompuyternye Issledovaniya i Modelirovanie [Computer Research and Modeling], 2012, vol. 4, no. 3, pp. 639–650. (In Russian). 5. Vakulenko E.S. Introduction to Spatial Econometrics. Moscow: State University – Higher School of Economics, 2013. Available at: (accessed 03 January 2014). (In Russian). 6. Demidova O.A. Identification of Spatial Effects for the Main Macroeconomic Indicators of the Russian Regions. Moscow: State University – Higher School of Economics. 2013. Available at: (accessed 25 June 2014). (In Russian). 7. Dubrovina N.A. Application of Methods of Spatial Econometrics in Regional Studies. Biznesinform – Business Inform, 2010, no. 5 (2). (In Russian). 8. Zverev D.V., Kolomak E.A. Subnational Fiscal Policy in Russia: Regional Differences and Communication. A Series of Scientific Reports: Independent Economic Analysis, no. 209. Moscow, Moscow Public Science Foundation; Siberian Center for Applied Economic Research, 2010, 102 p. (In Russian). 9. Federal State Statistics Service of the Russian Federation. Available at: http://www.gks.ru/ (accessed 05 July 2014). (In Russian). 10. Lugovoy O. Economic-Geographical and Institutional Aspects of Economic Growth in the Regions. The Consortium for Applied Economic Research, the Canadian International Development Agency. Moscow, 2007, 164 p. URL: (accessed 05 Maj 2014). (In Russian). 11. Electronic Textbook on Statistics. StatSoft, Inc. Moscow, 2012. Available at: http://www.statsoft.ru/home/textbook/default.htm. (accessed 04 January 2014). (In Russian). 12. Anselin L. Local Indicators of Spatial Association—LISA. Geographical Analysis, 1995, no. 27 (2), pp. 93–115. DOI: 10.1111/j.1538-4632.1995.tb00338.x 13. Chen Y. New Approaches for Calculating Moran’s Index of Spatial Autocorrelation, 2013. PLoS ONE 8(7): e68336. DOI:10.1371/journal.pone.0068336. 14. Coro C.Y. Course on Spatial Econometrics with Applications. Session 2: Spatial Effects. 2007. Available at: (accessed 05 January 2014). 15. Danlin Yu. Spatial Association and Spatial Statistic Techniques. 2003. Available at: http://www.uwm.edu/People/danlinyu/Spatial_Association.ppt (accessed 03 January 2014). 16. Introduction to Spatial Analysis. Invited Lecture. Population Science and GIS Workshop, UC Santa. 2006. 17. Local Measures of Spatial Autocorrelation. Briggs Henan University, 2010. Available at: http://www.utdallas.edu/~rbriggs/henan/11SAlocal.ppt (accessed 06 January 2014). |
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