Development similarities in urban clusters: Evidence from a spatial analysis of Israel's urban system

The effect of geographic proximity on the similarity of development rates exhibited by urban localities in Israel is investigated. The analysis is carried out in three stages. During the first stage, Moran's I measure of spatial autocorrelation is used, indicating that the spatial autocorrelation of development rates drops as inter-town distances increase. In the second stage, the impact of explanatory variables (population size, remoteness, etc.) is tested using both Ordinary Least Squares (OLSs) and Spatial Lag Models (SLMs). The analysis indicates that inter-town proximity is a significant factor that helps to improve regression fits. Lastly, during the third step of the analysis, the spatial association of development rates is studied separately for centrally located and peripheral towns. The analysis points out that proximity effects appear to be stronger in the periphery.