The identification of Regional Clusters in the Republic of Kazakhstan

• Manuel Fernández Grela ^[1] ; Aizhan Samambayeva
  1. [1] Universidade de Santiago de Compostela

     Universidade de Santiago de Compostela

     Santiago de Compostela, España

     
• Localización: Documentos de Traballo. Análise Económica, ISSN 1138-0713, Nº. 70, 2021, págs. 3-43
• Idioma: gallego
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• Resumen

  • The purpose of this paper is to identify industrial clusters in the Eastern region of the Republic of Kazakhstan. Our research proceeds in two stages. In the first stage we discuss several of the methods available. These include input-output analysis, factor analysis, graph analysis, various spatial statistics, different specifications of location quotients and coefficients, and various combinations among all of them. In recent times, however, there is a considerable increase in the use of input-output tables in empirical analysis of cluster identification. The input-output table allows us to identify industries linked by supplier-buyer relationships and to estimate the strength of their forward and backward linkages. In the second stage we apply several methods to input-output data of the East Kazakhstan region and compare their results with those of the method developed in Fernandez and Fernandez-Grela (2003). We work with a regionalization of the Kazakhstan 2009 national input-output table through the use of semilogarithmic quotients based on employment data. The results obtained allow us to reach some conclusions about the cluster initiatives process launched in Kazakhstan in 2005 to increase competitiveness and diversify the economy of the country through gradual movement from the extracting of raw materials to high value-added production. The last stage is the application of factor analysis to the input-output table in order to improve credibility of results received from previous method.