Measuring the knowledge base of regional innovation systems in Sweden

Within the literature on innovation systems, there are a growing number of scholars emphasizing the importance of differentiated knowledge bases underlying innovation activities. The existing work on knowledge bases is largely grounded on in-depth case studies; while surprisingly little effort has been done so far to operationalize the concept in a more systematic manner. In this paper, an attempt is made to develop a scheme of analysis to identify the knowledge base of a regional economy. We suggest using occupation data in association with a location quotient analysis, to assess whether a regional economy has a particular strength in one (or more) knowledge bases. To bring the analytical scheme into practice and assess it, we apply it on the county level in Sweden. The results are explained and contrasted with insights on the regional economies taken from secondary sources. We conclude that the proposed scheme of analysis leads to fairly reliable results, and could stimulate further empirical research on differentiated knowledge bases.differentiated knowledge base; regional innovation system; Sweden

Comparing knowledge bases: on the organisation and geography of knowledge flows in the regional innovation system of Scania, southern Sweden

This paper deals with knowledge flows and collaboration between firms in the regional innovation system of southern Sweden. It focuses on industries which draw on different types of knowledge bases. The aim is to analyse how the functional and spatial organisation of knowledge interdependencies among firms and other actors vary between different types of industries which are part of the same regional innovation system. We argue that knowledge sourcing and exchange in geographical proximity is especially important for industries that rely on a synthetic or symbolic knowledge base, since the interpretation of the knowledge they deal with tend to differ between places. This is less the case for industries drawing on an analytical knowledge base, which rely more on scientific knowledge that is codified, abstract and universal, and therefore less sensitive to geographical distance. Thus, geographic clustering of firms in analytical industries builds on other rationale than the need of proximity for knowledge sourcing and exchange. To analyse these assumptions empirically, we draw on data from three case studies of firm clusters in the region of southern Sweden: (1) the life science cluster represents an analytical (science) based industry, (2) the food cluster includes mainly synthetic (engineering) based industries, and (3) the moving media cluster is considered as symbolic (artistic) based. Knowledge sourcing and knowledge exchange in each of the cases are explored and compared using social network analysis in association with a dataset gathered through interviews with firm representatives.knowledge bases; life science; food cluster; moving media; Sweden

Innovation in symbolic industries: the geography and organisation of knowledge sourcing

This paper deals with geographical and organisational patterns of knowledge flows in the media industry of southern Sweden, an industry that is characterised by a strong ‘symbolic’ knowledge base. Aim is to address the question of the local versus the non-local as the prime arena for knowledge exchange, and to examine the organisational patterns of knowledge sourcing with specific attention paid to the nature of the knowledge sourced. Symbolic industries draw heavily on creative production and a cultural awareness that is strongly embedded in the local context; thus knowledge flows and networks are expected to be most of all locally configured, and firms to rely on informal knowledge sources rather than scientific knowledge or principles. Based on structured and semi-structured interviews with firm representatives, these assumptions are empirically assessed through social network analysis and descriptive statistics. Our findings show that firms rely above all on knowledge that is generated in project work through learning-by-doing and by interaction with other firms in localised networks. The analysis contributes to transcending the binary arguments on the role of geography for knowledge exchange which tend to dominate the innovation studies literature.knowledge base; cultural industry; regional innovation system; network analysis; Sweden

Selling Service Plans to Differentially Informed Customers

We characterize a monopolist's optimal offer of service plans when only informed customers know already at the contracting stage whether their demand is high or low, while uninformed customers may learn their demand only after incurring some costs, if at all. While informed customers purchase simpler tariffs, those who are still uninformed purchase tariffs that subsequently allow them to more flexibly adjust their consumed quantity of the service. The presence of uninformed costumers makes it more costly for the firm, in terms of rent left to consumers, to offer the most basic package, which is purchased by informed low-demand customers. Consequently, the firm makes this package relatively unattractive, resulting in a very low quantity of the consumed service. We find that uninformed customers benefit from the presence of informed customers, even though information only helps to predict a customer's own demand. However, welfare may be lower if there are more informed customers or if acquiring information already at the contracting stage becomes less costly for uninformed customers. --Nonlinear Pricing,Price discrimination,Information acquisition

Partitioning Graph Drawings and Triangulated Simple Polygons into Greedily Routable Regions

A greedily routable region (GRR) is a closed subset of $\mathbb R^2$, in which each destination point can be reached from each starting point by choosing the direction with maximum reduction of the distance to the destination in each point of the path. Recently, Tan and Kermarrec proposed a geographic routing protocol for dense wireless sensor networks based on decomposing the network area into a small number of interior-disjoint GRRs. They showed that minimum decomposition is NP-hard for polygons with holes. We consider minimum GRR decomposition for plane straight-line drawings of graphs. Here, GRRs coincide with self-approaching drawings of trees, a drawing style which has become a popular research topic in graph drawing. We show that minimum decomposition is still NP-hard for graphs with cycles, but can be solved optimally for trees in polynomial time. Additionally, we give a 2-approximation for simple polygons, if a given triangulation has to be respected.Comment: full version of a paper appearing in ISAAC 201