Regional Innovation Frameworks analysis
This set of activities will review the research and innovation activities and their impact. Areas of specialisation will be revealed while the regional performance will be measured against a set of indicators. The methodology to be applied for the analysis is Structural Equation Modelling (SEM). This is a statistical technique to estimate causal relations using a combination of statistical data and qualitative causal assumptions. SEM is a useful technique when the variable that has to be explained is not directly measurable and/or has many dimensions such as the regional ‘Transport research and innovation performance’. Therefore we have to look for a small number of indicators which together represent the ‘Transport research and innovation performance’ (for instance % growth in GDP in transport industry per region). In SEM casual assumptions between explanatory variables, which may be also not be directlymeasurable (for instance innovation infrastructure per region) and the various indicators of ‘Transportresearch and innovation performance’ are estimated, by simultaneously using regression analysis,path analysis and factor analysis in such a way that both direct and indirect relationships can beidentified.
A result of the model are scores on ‘Transport research and innovation performance’ for each region. These regional scores are mapped. From the map it can been derived to what extent regions that are performing well are spatially clustered. Based on these observations it will be useful to analyse whether these specific regions do cooperate or not (in order confirm or dismantle the relevance of regional cooperation for innovation performance
As a final product, a SWOT analysis will be carried out on a number of regions which will be selected based on their performance in the SEM-analysis.