The Regional Ecosystem Scoreboard 2016


The objective of the Regional Ecosystem Scoreboard is to capture the quality of conditions in the regional ecosystem that can foster or hinder innovation and entrepreneurship. The emphasis of the Scoreboard is on the dynamics and on the conditions that characterise the quality and nature of the regional ecosystem but it is not about measuring performance.

The Regional Ecosystem Scoreboard comprises 6 key dimensions that consist of 60 indicators and composite indicators have been calculated for each of the 6 dimensions and 17 sub-dimensions. The Scoreboard covers NUTS2 regions in all EU Member States, except for Belgium, Germany and the United Kingdom where it covers NUTS 1 regions.

The six dimensions are the following:

  • Knowledge basis and skills: (higher) education, human capital development and training, and the availability of skilled human resources in the region.

  • Access to Finance: availability of private and public financing; as well as the existence of a conducting framework that enables the access to finance by enterprises.

  • Collaboration and internationalisation: level of knowledge transfer existing between academia and industry in the region, availability of public knowledge transfer mechanisms, international connectedness of the region (participation in international research, technological or innovation collaboration, platforms, networks ...).

  • Demand Conditions: private demand (buyer sophistication, lead users, market dynamics, spending on innovative products ...); public demand (government procurement as a driver of business innovation or government procurement of advanced technological products ...)

  • Entrepreneurial Conditions: ease of doing business, infrastructure (such as transport, broadband or support services) and entrepreneurial culture

  • Quality of governance: government effectiveness, product market regulation...

The analysis of the Regional Ecosystem Scoreboard is presented using several spider graphs. These spider charts show the value for the selected region (represented by a solid line and shaded area) in comparison with the average of the group of the selected peer regions. The minimum and maximum values among the peer group are also represented in the graph.