Growth Modelling of Metropolitan Performance Indicators. An Application by Means of R Software

The current study aims at explaining the integrated performance of metropolitan areas in our world by using a new approach to the field, namely advanced growth models, which are an important variation of a much broader technique known as multi-level modeling. Extensive data bases on 35 world cities were derived from the so-called GPCI-data base created by the Institute of Urban Research of the Japanese Mori Memorial Foundation (2012), which served as input data for the proposed models. An illustration in R software was also carried out.