Constructing an Index for Regional Competitiveness

Huovari, Janne; Kangasharju, Aki; Alanen, Aku

doi:10.1007/978-3-540-24823-1_7

Cited by 42 publications

(28 citation statements)

References 8 publications

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“…3 3 Earlier research measured innovative activity for states (DeVol, Koepp, and Ki 2004; Catalytix Inc. 2003; Southern Growth Policies Board 2001, 2002); metropolitan areas (Acs 2002; Atkinson and Gottlieb 2001; Florida 2002; Hill 1998; Markusen et al 2001; Porter 2001a, 2001b); nonmetropolitan areas (Cortright et al 2003); and regions in the European Union (Andersson and Karlsson 2001; Huovari, Kangasharju, and Alanen 2001; Gardiner 2003; Todtling 2004). …”

mentioning

confidence: 99%

Regional Innovation Systems: Implications for Nonmetropolitan Areas and Workers in the South

Barkley¹,

Henry²,

Nair

2006

Growth and Change

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A public policy response to global competition is the creation of a geographic concentration of innovative activity (regional innovation systems [RIS]) that will enhance metropolitan economic development through knowledge spillovers, product development, and new firm spin-offs. This article identifies three types of RIS in the thirteen southern states based on a cluster analysis of twenty indicators of innovative and entrepreneurial activity. Next, regression analysis is used to determine if the 1990-2000 growth rates of nonmetro county population, employment, and earnings were related to proximity to an RIS after controlling for other county characteristics associated with local economic development. The research findings indicate that nonmetro counties near an RIS experienced more rapid population and employment growth; however, changes in nonmetro growth rates varied by type of regional innovation system. In addition, proximity to an RIS had a stronger impact on nonmetro population change than on nonmetro job growth. Copyright 2006 Blackwell Publishing.

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mentioning

confidence: 99%

Regional Innovation Systems: Implications for Nonmetropolitan Areas and Workers in the South

Barkley¹,

Henry²,

Nair

2006

Growth and Change

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“…In addition, all indicators have the same significance and cannot express the qualitative side of the measured sub index. Index can be expressed as (Huovari et al 2001):…”

Section: = [( ⁄ ) ÷ ( ⁄ )] × 100mentioning

confidence: 99%

Snowflake model of regional competitiveness: Evidence from Serbia

Vuković¹,

Marković²,

Hanić³

2016

Int Rev

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The competitiveness of the region is ability to be productive and maintain a high standard of living. In this paper, we have created Snowflake model of regional competitiveness considering not only economic and social factors, but also infrastructure, innovations, geo-natural variables, institutional factors, culture and tourism. This model can be applied in any country or group of countries. The model shows the competitiveness of the region in three ways: 1) quantitatively -by the index of regional competitiveness, 2) ranking the region compared to other regions and 3) it possesses visual characteristic -represents snowflake of competitiveness. As part of our analysis, we measured the regions of Serbia. The reason is that Serbia has the largest regional differences in Europe, which was an additional motive to test the model.

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“…They also represent valid attempts to describe regional competitiveness with an overall perspective and sound methodology, for example the United Kingdom, Croatia and Finland etc. [12]- [15].…”

Section: The Measurement Of Regional Competitivenessmentioning

confidence: 99%

The Regional Competitiveness of Hungary

Huang¹,

Hergül²

2014

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Constructing an Index for Regional Competitiveness

Cited by 42 publications

References 8 publications

Regional Innovation Systems: Implications for Nonmetropolitan Areas and Workers in the South

Regional Innovation Systems: Implications for Nonmetropolitan Areas and Workers in the South

Snowflake model of regional competitiveness: Evidence from Serbia

The Regional Competitiveness of Hungary

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