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Chapter 2     MAKT
               515
Case study:
  European
 innovation
Scoreboard
The reason behind the
scoreboard :
 Increase competition and globalization.
 The EU wanted to increase its efforts to
  improve the Union’s performance in
  innovation.
 The Union set itself a goal of becoming
  the most competitive and dynamic
  knowledge based economy in 10 years
How the EU achieve its plans?
 Came  out with a strategy to build on the economic
 convergence that had been developed over the
 past 10 years in the EU single market and to
 coordinate an “open method” of development
 policies for creating new skills, knowledge and
 innovation.
The idea of Scoreboard
 To indicate the performance of a
  member state
 Conducted every year as way of
  assessing the performance of member
  countries
 Essentially a benchmarking
  exercise, where the EU can assess its
  performance against other countries, like
  Japan and US.
The Function of the Score
board:
 The innovation scoreboard is designed to
 complement the structural indicators, like
 education systems, financial systems for
 raising capital, levels of employment, etc.
Five areas that the scoreboard
pay attention to:
Innovation inputs:
1.  Innovation drivers: the five indicators measure
    the structural conditions necessary for innovation
    potential.
2.  Knowledge creation: the five indicators here
    measure the investments in R&D
    activities, considered as key elements for a
    successful knowledge-based economy.
3.  Innovation and entrepreneurship. The six
    indicators in this category measure the efforts
    towards innovation at the level of the firm.
Five areas that the scoreboard
pay attention to:
Innovation outputs:
4. Applications: the five indicators here
   measure the performance, expressed in
   terms of labor and business
   activities, and their value added in
   innovative sectors.
5. Intellectual property: the five indicators
   in this category measure the achieved
   results in terms of successful know-how.
The history of scoreboard
The scoreboard approach has been carried
out for the last five years

During this period, there have been lot of
improvements in many areas, most notably
there are some areas which the EU countries
lead the world, indicating that there is
potential for member states to learn and
replicate best practice.
Table 2.3 shows the five main categories have 26 indicators and
the primary data sources for each indicator
                                                        INPUT – INNOVATION DRIVERS
   1.1 S&E graduates per 1000 population aged 20-29                            EUROSTAT

   1.2 Population with tertiary education per 100 population aged 25-64       EUROSTAT, OECD

   1.3 Broadband penetration rate (number of broadband lines per 100          EUROSTAT
   population)
   1.4 Participation in life-long learning per 100 population aged 25-64      EUROSTAT

   1.5 Youth education attainment level (% of population aged 20-24 having    EUROSTAT
   completed atleast upper secondary education)



                                                         INPUT – KNOWLEDGE CREATION
   2.1 Public R&D expenditures (% of GDP)                                      EUROSTAT, OECD
   2.2 Business R&D expenditures (% of GDP)                                    EUROSTAT, OECD
   2.3 Share of medium-high-tech and high-tech R&D (% of manufacturing R&D EUROSTAT, OECD
   expenditures)
   2.4 Share of enterprises receiving public funding for innovation            EUROSTAT (CIS4)

                                                 INPUT – INNOVATION & ENTREPRENEURSHIP
   3.1 SMEs innovating in-house (% of all SMEs)                               EUROSTAT (CIS3)
   3.2 Innovative SMEs co-operating with others (% of all SMEs)               EUROSTAT (CIS4)

   3.3 Innovation expenditures (% of total turnover)                          EUROSTAT (CIS4)

   3.4 Early-stage venture capital (% of GDP)                                 EUROSTAT
   3.5 ICT expenditures (% of GDP)                                            EUROSTAT
   3.6 SMEs using organisational innovation (% of all SMEs)                   EUROSTAT (CIS4)
Table 2.3 shows the five main categories have 26 indicators
 and the primary data sources for each indicator
                              OUTPUT – APPLICATIONS
4.1 Employment in high-tech services (% of      EUROSTAT
total workforce)
4.2 Exports of high technology products as a    EUROSTAT
share of total exports
4.3 Sales of new-to-market products (% of total EUROSTAT (CIS4)
turnover)
4.4 Sales of new-to-firm products (% of total   EUROSTAT (CIS4)
turnover)
4.5 Employment in medium-high and high-         EUROSTAT
tech manufacturing (% of total workforce)
                          OUTPUT – INTELLECTUAL PROPERTY
5.1 EPO patents per million population          EUROSTAT
5.2 USPTO patents per million population        EUROSTAT, OECD

5.3 Triadic patent families per million        EUROSTAT, OECD
population
5.4 New community trademarks per million       OHIM
population
5.5 New community designs per million          OHIM
population
Q1: In the case study, what are the
limitations of such types of “league
tables”?
 A1:  it is generally regarded as over
  simplistic, largely because the economic
  conditions of the member countries are so
  very different and all have a wide variety
  of strengths and weakness
Q2: why are the factors listed on the
scoreboard necessary but not
sufficient?
 Because    innovation varies greatly from
  industry to industry and from firm to
  firm, for example, some industries are far
  more competitive than others; hence it is
  context dependent, and because these
  indicators itself don’t guarantee that
  innovation will occur.
Q3: there are five key areas being
assessed. What other areas do you
think should be included?
 There should be an area that is dedicated
 to studying potential risks and threats in
 case of any emergency, natural disaster
 or any unexpected event that might
 occur, like wars, conflicts, financial
 crisis…etc.
Q4: what do the findings of table
2.3 show?
   They show the five indicators areas with their 26
    indicators, and the source of the data used to
    measure the indicators, and help to classify the
    countries into 4 distinct groups:
   Leading Countries: like Germany, Finland and
    Denmark.
   Average performance: like UK, Netherlands, and
    Norway.
   Catching up: such as Hungary, Portugal and
    Greece.
   Losing ground: like Spain, Bulgaria, and Turkey.
 The   object of the scoreboard was not to
 compare between the countries, but to
 identify the strengths and weaknesses, but
 due to the media using the data for
 comparing between countries, the EU
 recognized that this how analyst and
 commentators liked to see the finding, so it
 went along and it shows comparison, Which
 is illustrated in figure 2.7:
The Figure shows the summary innovation
index (SII) on the vertical axis, and the
average growth rate in the Horizontal axis.
Q5: why is the scoreboard likely to
be of little practical help?
 TheScoreboard may be helpful
 practically because it and aid
 governmental policymakers to determine
 where is the best place to invest
 substantial sums of money and where not
 to.
Thank
 You

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Chapter 2 case Study: European Scoreboard

  • 1. Chapter 2 MAKT 515 Case study: European innovation Scoreboard
  • 2. The reason behind the scoreboard :  Increase competition and globalization.  The EU wanted to increase its efforts to improve the Union’s performance in innovation.  The Union set itself a goal of becoming the most competitive and dynamic knowledge based economy in 10 years
  • 3. How the EU achieve its plans?  Came out with a strategy to build on the economic convergence that had been developed over the past 10 years in the EU single market and to coordinate an “open method” of development policies for creating new skills, knowledge and innovation.
  • 4. The idea of Scoreboard  To indicate the performance of a member state  Conducted every year as way of assessing the performance of member countries  Essentially a benchmarking exercise, where the EU can assess its performance against other countries, like Japan and US.
  • 5. The Function of the Score board:  The innovation scoreboard is designed to complement the structural indicators, like education systems, financial systems for raising capital, levels of employment, etc.
  • 6. Five areas that the scoreboard pay attention to: Innovation inputs: 1. Innovation drivers: the five indicators measure the structural conditions necessary for innovation potential. 2. Knowledge creation: the five indicators here measure the investments in R&D activities, considered as key elements for a successful knowledge-based economy. 3. Innovation and entrepreneurship. The six indicators in this category measure the efforts towards innovation at the level of the firm.
  • 7. Five areas that the scoreboard pay attention to: Innovation outputs: 4. Applications: the five indicators here measure the performance, expressed in terms of labor and business activities, and their value added in innovative sectors. 5. Intellectual property: the five indicators in this category measure the achieved results in terms of successful know-how.
  • 8. The history of scoreboard The scoreboard approach has been carried out for the last five years During this period, there have been lot of improvements in many areas, most notably there are some areas which the EU countries lead the world, indicating that there is potential for member states to learn and replicate best practice.
  • 9. Table 2.3 shows the five main categories have 26 indicators and the primary data sources for each indicator INPUT – INNOVATION DRIVERS 1.1 S&E graduates per 1000 population aged 20-29 EUROSTAT 1.2 Population with tertiary education per 100 population aged 25-64 EUROSTAT, OECD 1.3 Broadband penetration rate (number of broadband lines per 100 EUROSTAT population) 1.4 Participation in life-long learning per 100 population aged 25-64 EUROSTAT 1.5 Youth education attainment level (% of population aged 20-24 having EUROSTAT completed atleast upper secondary education) INPUT – KNOWLEDGE CREATION 2.1 Public R&D expenditures (% of GDP) EUROSTAT, OECD 2.2 Business R&D expenditures (% of GDP) EUROSTAT, OECD 2.3 Share of medium-high-tech and high-tech R&D (% of manufacturing R&D EUROSTAT, OECD expenditures) 2.4 Share of enterprises receiving public funding for innovation EUROSTAT (CIS4) INPUT – INNOVATION & ENTREPRENEURSHIP 3.1 SMEs innovating in-house (% of all SMEs) EUROSTAT (CIS3) 3.2 Innovative SMEs co-operating with others (% of all SMEs) EUROSTAT (CIS4) 3.3 Innovation expenditures (% of total turnover) EUROSTAT (CIS4) 3.4 Early-stage venture capital (% of GDP) EUROSTAT 3.5 ICT expenditures (% of GDP) EUROSTAT 3.6 SMEs using organisational innovation (% of all SMEs) EUROSTAT (CIS4)
  • 10. Table 2.3 shows the five main categories have 26 indicators and the primary data sources for each indicator OUTPUT – APPLICATIONS 4.1 Employment in high-tech services (% of EUROSTAT total workforce) 4.2 Exports of high technology products as a EUROSTAT share of total exports 4.3 Sales of new-to-market products (% of total EUROSTAT (CIS4) turnover) 4.4 Sales of new-to-firm products (% of total EUROSTAT (CIS4) turnover) 4.5 Employment in medium-high and high- EUROSTAT tech manufacturing (% of total workforce) OUTPUT – INTELLECTUAL PROPERTY 5.1 EPO patents per million population EUROSTAT 5.2 USPTO patents per million population EUROSTAT, OECD 5.3 Triadic patent families per million EUROSTAT, OECD population 5.4 New community trademarks per million OHIM population 5.5 New community designs per million OHIM population
  • 11. Q1: In the case study, what are the limitations of such types of “league tables”?  A1: it is generally regarded as over simplistic, largely because the economic conditions of the member countries are so very different and all have a wide variety of strengths and weakness
  • 12. Q2: why are the factors listed on the scoreboard necessary but not sufficient?  Because innovation varies greatly from industry to industry and from firm to firm, for example, some industries are far more competitive than others; hence it is context dependent, and because these indicators itself don’t guarantee that innovation will occur.
  • 13. Q3: there are five key areas being assessed. What other areas do you think should be included?  There should be an area that is dedicated to studying potential risks and threats in case of any emergency, natural disaster or any unexpected event that might occur, like wars, conflicts, financial crisis…etc.
  • 14. Q4: what do the findings of table 2.3 show?  They show the five indicators areas with their 26 indicators, and the source of the data used to measure the indicators, and help to classify the countries into 4 distinct groups:  Leading Countries: like Germany, Finland and Denmark.  Average performance: like UK, Netherlands, and Norway.  Catching up: such as Hungary, Portugal and Greece.  Losing ground: like Spain, Bulgaria, and Turkey.
  • 15.  The object of the scoreboard was not to compare between the countries, but to identify the strengths and weaknesses, but due to the media using the data for comparing between countries, the EU recognized that this how analyst and commentators liked to see the finding, so it went along and it shows comparison, Which is illustrated in figure 2.7:
  • 16. The Figure shows the summary innovation index (SII) on the vertical axis, and the average growth rate in the Horizontal axis.
  • 17. Q5: why is the scoreboard likely to be of little practical help?  TheScoreboard may be helpful practically because it and aid governmental policymakers to determine where is the best place to invest substantial sums of money and where not to.