Knowledge, Capital Formation and Innovation Behaviour in a Spatial Context

Posted: 4 Nov 2009

See all articles by Günter Haag

Günter Haag

Steinbeis Transfer Centre Applied System Analysis (STASA)

Philipp Liedl

affiliation not provided to SSRN

Date Written: 2004

Abstract

The purpose of this study is to provide adecision-based framework for the complex and interwoven spatial processes ofproduction and innovation, labor force, and capital formation.A spatialmacroeconomic model of the nested innovation process is introduced.Thismodel considers new production factors (such as information, knowledgeproduction, and knowledge transfer) relevant for taking into accounttechnological progress. The role and efficiency of transfer institutions such as universities andtechnology transfer centers, as well as subsidies for firms located indisadvantaged regions or certain industrial sectors, are shown to be ofpotentially crucial importance for the dynamics of the whole system.Aspatial network consisting of three regions and 30 firms is used to demonstratethe complex dynamics of interlinked spatial processes.The simulationssuggest that the timing of adopting an innovation from other firms has aconsiderable impact on the development of future market share. Considering a large spatial network of firms shows that several firmsconstitute a leading regional cluster within the innovationprocess.Concentration in innovation activity is always higher than thecorresponding concentration in production. However, the evolution in time ofinnovation activity and production is correlated. (SAA)

Keywords: Innovation process, Social networks, Knowledge production, Technology transfer, Knowledge transfer, Spatial analysis, Diffusion of innovations, Clusters

Suggested Citation

Haag, Günter and Liedl, Philipp, Knowledge, Capital Formation and Innovation Behaviour in a Spatial Context (2004). University of Illinois at Urbana-Champaign's Academy for Entrepreneurial Leadership Historical Research Reference in Entrepreneurship, Available at SSRN: https://ssrn.com/abstract=1496763

Günter Haag (Contact Author)

Steinbeis Transfer Centre Applied System Analysis (STASA) ( email )

Stuttgart
Germany

Philipp Liedl

affiliation not provided to SSRN

No Address Available

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
560
PlumX Metrics