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Download Applied Regional Growth and Innovation Models by Karima Kourtit, Peter Nijkamp, Robert Stimson PDF

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By Karima Kourtit, Peter Nijkamp, Robert Stimson

Modern spatial-economic platforms show a excessive measure of dynamics because of technological development, demographic evolution or worldwide switch. long ago decade, an avalanche of latest nearby monetary progress and innovation versions has been recommend. This quantity includes a detailed selection of operational types of a robust utilized nature which may be obvious as unique landmarks within the wealthy culture of spatial-economic development modelling. The participants are well-known specialists from assorted components of the area. ​

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What differences and similarities can be found compared to regions where the same industries are well established? Apart from that, an analysis of (historical) data from market economies and other institutional contexts is warranted to enhance our understanding of the emergence of knowledge-intensive industries across regions. 2 Knowledge-Intensive Entrepreneurship Across Regions: Does Being a New. . 4 Definition of variables Variable Start-ups P-KIBS Start-up rate P-KIBS Know Growth Non-Manufac Market Potential (Log) Employment Density (Log) Emp Share P-KIBS Emp Growth All Emp Share Manufacturing Know Growth Manufac Emp Share R&DManufac Emp Know R&DManufac Know Growth R&DManufac Emp Share Non-R&DManufac Know Growth Non-R&D-Manufac Definition Number of new establishments Start-ups divided by population between 18 and 64 Annual growth of employment holding a university degree (service and public sector) Distance weighted sum of population in other regions + total regional population (Harris-type function) Total employment divided by size in km2 Share of employees in P-KIBS Annual growth of total regional employment Share of employees in manufacturing within total regional employment Annual growth of employment in manufacturing holding a university degree Share of employees in R&D-intensive manufacturing within total regional employment Share of employees in R&D-intensive manufacturing holding a university degree Annual growth of employment in R&D-intensive manufacturing holding a university degree Share of employees in non-R&D-intensive manufacturing within total regional employment Annual growth of employment in non-R&D-intensive manufacturing holding a university degree 28 M.

10). Thus, the effect of market potential seems to be smaller in East Germany, which probably has to do with the peripheral character of the eastern part of Germany. Altogether, the results are in line with the proposed hypotheses. It seems that the local manufacturing sector indeed provides opportunities for starting a P-KIBS firm under specific conditions. Market size and knowledge matter especially when the regional distribution of P-KIBS industries is already established. 5 Concluding Remarks: What Can Be Learned?

Reg Stud 41(2):157–172 Fritsch M, Slavtchev V (2010) Determinants of the efficiency of regional innovation systems. Reg Stud. 1080/00343400802251494 Fritsch M, Werker C (1999) Systems of innovation in transition. In: Fritsch M, Brezinski H (eds) Innovation and technological change in Eastern Europe – pathways to industrial recovery. Elgar, Cheltenham/Brookfield, pp 5–22 Glasmeier AK, Howland M (1994) Service-led rural development: definitions theories and empirical evidence. Int Reg Sci Rev 16:197–229 Goe WR (1990) Producer services, trade and the social division of labour.

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