|Ph.D Student||Frenkel Amnon|
|Subject||Spatial Diffusion of Industrial Technological Innovation|
and Regional Development
|Department||Department of Architecture and Town Planning||Supervisor||Professor Emeritus Daniel Shefer|
This study examines the role of technological innovation, the processes of its spatial diffusion and its impact on regional development and growth. The study focuses on the spatial pattern of selected industrial branches and its relationship to the distribution of technological innovation.
The research used analytical models to evaluate the probability of creating technological innovation in three selected fast growing industries (electronics, plastics and metals) in different regions. An empirical model for evaluating the innovativeness and the innovation potential of various regions, was developed methodologically. This Model is unique in that it combines two basic models: the LOGIT model and the Bayesian Statistical Decision Model. The extended model can assist regional decision makers in adopting policies that foster technological innovation in different regions. The development and application of the model have broadened our knowledge of technological innovation processes, the spatial diffusion of these processes and their effect on regional development and growth in Israel. The empirical application of the model was conducted with data collected in a field survey which was carried out between May and December of 1995, and included a sample of 211 plants in the northern region of Israel.
The findings of the study indicate that the spatial distribution of firms in the northern region of Israel, corresponds to the classical pattern of the distribution of firms in the metropolitan regions and their suburbs. They indicate a gradual decrease in investment in research and development in the firms, as one moves from the metropolitan region to the periphery. This finding directly influences the level of innovation in the firms according to their spatial distribution. Usually the industrial branch, to which the firms belong directly affects their spatial pattern and in fact largely determines it.
These findings justify the recommendation that it is appropriate to continue to guide and direct industries to various regions, in accordance with their natural tendencies which have been proven to efficiently match industry type and location. Thus a policy aimed at changing these locational preferences is likely to harm the economic efficiency of these industries which results from their location compatibility.