Skip to main content

A Systems View Across Time and Space

Table 4 Groups of variables serving as the basis of the indexation of spatial innovation potential)

From: The theoretical model of spatial production for innovation

Dimension

Variable

Factor

1

2

3

4

5

6

7

Labour market potential—a tight labour market

Unemployed for more than 180 days in proportion to the permanent resident population

0.928

      

Job seekers as a proportion of the population

0.922

− 0.127

     

Networking potential—foreign linkages

Foreign ownership rate in subscribed capital

 

0.757

0.195

    

Exports as a share of net turnover

 

0.750

0.244

    

Fixed assets to balance sheet total

 

0.629

− 0.217

    

Corporate potential—innovative companies with high added value

R&D tax credit per firm

  

0.842

    

Labour costs per operating firm

 

0.299

0.760

    

Accessibility potential—proximity to geographical hubs

The fastest trip in minutes to the regional centre [minutes, in case of time optimization]

   

0.820

   

The fastest trip in minutes to the county seat [minutes, in case of time optimization]

   

0.810

   

Knowledge production potential—institutional learning

Number of domestic patent applications filed by Hungarian applicants (by share of applicants), pcs

    

0.818

  

Higher education students as a percentage of population (%)

    

0.799

  

Social activity potential—social openness, creativity, networking

Cultural event visitors as a percentage of population

     

0.806

 

Visitors to educational events as a percentage of population

     

0.798

 

Industrial potential—high-tech industry

IT company as a percentage of all companies

      

0.741

Education company as a percentage of all companies

 

0.105

    

0.608

Professional, scientific, technical firms as a percentage of all firms

− 0.213

  

− 0.136

0.101

 

0.503

  1. All variables for 2016
  2. Source: Author’s calculation based on TeIR data