A konvergencia területisége és lokális szintű mérése: elméleti áttekintés
Spatial Convergence and its Local Measurement: a Theoretical Overview

Summary/Abstract: The main aim of the paper is to show a theoretical overview of the possibilities of local convergence measurement. In the first part, we summarized different approaches of convergence (absolute, conditional and club convergence) and also defined the difference between global and local indicators. We focused on global measurement of convergence throughout the second part, by an overview of distribution-based methods, the ß - convergence, stochastic time series based approaches and club convergence. We concluded that most of the global approaches are a-spatial, so estimations of the convergence process are biased, but transformation methods from a-spatial to spatial models have also been discovered. The third part of the paper is devoted to local measures of convergence with two main directions, the Spatial Autoregressive Local Estimation (SALE), and a simple indicator suggested recently by Bourdin. While the SALE indicators are quite complicated to compute and make inferences about, the new measure is an easy-to-use descriptive tool, but its inference profile is not known yet.

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