economic growth and gross domestic expenditure on r&d in g-7 and brics ...€¦ · economic...
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Economic Growth and Gross DomesticExpenditure on R&D in G-7 and BRICS
Countries: Long-run ComparativeSynergy Analyses
Jari Kaivo-oja1, Jyrki Luukkanen1 & Teemu Haukioja2
1Finland Futures Research Centre, Turku School of Economics, Universityof Turku & 2Pori Unit, Turku School of Economics, University of Turku
Session V, China and Countries Outside Europe, Tuesday 13 June 2017
Background of the study
• The study is based on statistical synergy methodology
• Data from the Wordbank
• G7 countries: USA, Canada Germany, France, UK, Japan and Italy
• BRICS countries: Brazil, Russian Federation, India, China and South Africa
• Focus is on the synergy of GDP-GERD interaction in G7 –and BRICS-economies
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Methodological background: Synergy analysis
Maximum synergy can be obtained when relative changes Δx and Δy are equal. In case the change in y i.e. Δy is larger than changes in x i.e. Δx, the quotient must be inverted to estimate potential synergy ratio. Therefore, potential synergy/trade-off between two variables can be measured between -1 to +1. Negative sign indicates trade-off between two variables. In this study we calculateconventional index number of synergy and long-run synergy index.
Synergy analysis background
• Conventional synergy: Economic cycles are not smoothened
• Long-run stabilized synergy: Calculation based on Moving Average of variables to compensate the impacts of economic cycles and smoothen the results in order to reveal the trends
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Some benefits of synergy methodology
• It allows us to present explorative analysis of the relationships between keyvariables (in this case GDP and GERD)
• It allow critical analysis on long-run dynamics of economies
• The synergy methodology provides essential information for economic and social policy-makers
• It is new tool for sustainablity analysis
• The evaluation of synergy/trade-off proposed on this paper indicates only possible (potential) causality but, does not infer a causal relationship between the variables
• Typically decision-makers expect that there is positive synergy between GERD and GDP, but finally it is empirical question to evaluate
Focus on two powerful economic groups: G7 – and BRICS -group
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GERD, % of GDP in the G7-countries and in BRICS-countries, years1996-2015, Source: World Bank 2017
0
0,5
1
1,5
2
2,5
3
3,5
4
0 5 10 15 20 25
GERD, % of GDP in the G7-countries and in BRICS-countries, 1996-2015
Canada France Germany Italy Japan United Kingdom United States of America Russian Federation China Brazil India South Africa
GDP (current prices PPP) in the G7-countries, 1996-2015, source: World Bank
0
2E+12
4E+12
6E+12
8E+12
1E+13
1,2E+13
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
GDP (current prices PPP) in the G7-countries, 1996-2015
GDP, current prices, PPP Russian Federation China Brazil India South Africa
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GDP (current prices PPP) in the G7-countries, 1996-2015, Source: World Bank
0
2E+12
4E+12
6E+12
8E+12
1E+13
1,2E+13
1,4E+13
1,6E+13
1,8E+13
2E+13
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
GDP (current prices PPP) in the G7-countries, 1996-2015
Canada France Germany Italy Japan United Kingdom (Northern Ireland) United States of America
GERD (current prices, PPP) in the G7-countries, 1996-2015, source: World Bank 2017
0
1E+13
2E+13
3E+13
4E+13
5E+13
6E+13
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
GERD (current prices, PPP) in the G7-countries, 1996-2015
Canada France Germany Italy Japan United Kingdom (Northern Ireland) United States of America
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GERD (current prices, PPP) in the BRICS-countries, 1996-2015, Source: World Bank 2017
0
5E+12
1E+13
1,5E+13
2E+13
2,5E+13
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
GERD (current prices, PPP) in the BRICS-countries, 1996-2015
Russian Federation China Brazil India South Africa
Average conventional synergy of G7-countries and BRICS -countries, years 1997-2015
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
0,9
1
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Average conventional synergy of G7-countries and BRICS -countries, years 1997-2015
Average conventional synergy, G7-countries Average concentional synergy, BRICS -countries
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Average long-run synergy of G7-countries and BRICS -countries, years 2017-2015
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Average long-run synergy of G7-countries and BRICS -countries, years 2017-2015
Average long-run synergy, G7-countries Average long-run synergy, BRICS -countries
Long-run synergy levels in the G7-countries, years1997-2015
-1
-0,5
0
0,5
1
1,5
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
LR S
yner
gy In
dex
Long-run synergy levels in the G7-countries, years 1997-2015
LR-Synergy-GERD-GDP-Canada
LR-Synergy-GERD-GDP-France
LR-Synergy-GERD-GDP-Germany
LR-Synergy-GERD-GDP-Italy
LR-Synergy-GERD-GDP-Japan
LR-Synergy-GERD-GDP-UK
LR-Synergy-GERD-GDP-USA
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Long-run synergy levels in the BRICS-countries, years 1997-2015
-1
-0,5
0
0,5
1
1,5
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
LR S
yner
gy In
dex
Long-run synergy levels in the BRICS-countries, years 1997-2015
LR-Synergy-GERD-GDP-Russian Fedearion
LR-Synergy-GERD-GDP-China
LR-Synergy-GERD-GDP-Brazil
LR-Synergy-GERD-GDP-India
LR-Synergy-GERD-GDP-South Africa
Average GDP-GERD synergy levels in G7- and BRICS-countries, year 1996-2015
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
Average Synergy,Brazil
Average Synergy,Russian
Federation
Average Synergy,France
Average Synergy,China
Average Synergy,Germany
Average Synergy,Italy
Average Synergy,India
Average Synergy,Japan
Average Synergy,Canada
Average Synergy,South Africa
Average Synergy,USA
Average Synergy,UK
Average GDP-GERD synergy levels in G7- and BRICS-countries, year 1996-2015
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Average long-run GDP-GERD -synergy levels in G7-and BRICS-countries, years 1996-2015
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
0,9
1
Average LR-synergy, Brazil
Average LR-synergy, UK
Average LR-synergy, France
Average LR-synergy, USA
Average LR-synergy, Russian
Federation
Average LR-synergy, India
Average LR-synergy, Canada
Average LR-synergy, South
Africa
Average LR-synergy,Germany
Average LR-synergy, Italy
Average LR-synergy, China
Average LR-synergy, Japan
Average long-run GDP-GERD -synergy levels in G7- and BRICS-countries, year 1996-2015
Long-run synergy levels in the USA, Russian Federation, China and India , years 1997-2015
-1
-0,5
0
0,5
1
1,5
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015Lon
g-ru
n s
yner
gy in
dex
Long-run synergy levels in the USA, Russian Federation, China and India , years 1997-2015
LR-Synergy-GERD-GDP-USA
LR-Synergy-GERD-GDP-Russian Fedearion
LR-Synergy-GERD-GDP-China
LR-Synergy-GERD-GDP-India
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European perspective: Long-run synergy levels in France, Germany and the United Kingdom, years1997-2015
-1
-0,5
0
0,5
1
1,5
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015Lon
g-ru
n s
yner
gy in
dex
Long-run synergy levels in France, Germany and the United Kingdom, years 1997-2015
LR-Synergy-GERD-GDP-France
LR-Synergy-GERD-GDP-Germany
LR-Synergy-GERD-GDP-Italy
Average convenional and long-run synergy trendsof G7- and G7 countries in the years of financialcrisis in the world economy, years 2007-2015
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
0,9
1
2007 2008 2009 2010 2011 2012 2013 2014 2015
Average convenional and long-run synergy trends of G7- and G7 countries in the years of financial crisis in theworld economy, years 2007-2015
Average conventional synergy, G7-countries Average concentional synergy, BRICS -countries Average long-run synergy, G7-countries Average long-run synergy, BRICS -countries
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Conclusions• Synergy analysis provides interesting perspectice to global innovation
ecosystems. For example we were able to report average GERD-GDP –synergylevels, which inform global decision-makers about success in synergy levels butalso failures in synergy levels
• Typically decision-makers expect that there is positive synergy between GERD and GDP, but finally it is empirical question to evaluate. Our study indicates that in some economies there are periods when there is also negative synergy. Synergy levels vary in time.
• Synergy dynamics is different in G7-countries compared to BRICS-countries: Key finding is that after 2002 BRICS-countries have improved their average synergylevel compared to G7-countries, and they have now more stable averagesynergy level compared to G7-countries average level
• Almost all countries have improved synergy levels between GDP and GERD in the long run which indicates harder compeition in the field of global innovationecosystems.
• China has biggest problems among BRICS-countries with its synergy level, surprisingly Brazil is having very hight positive synergy level amonf BRICS-countries
Conclusions
• Japan has the biggest problems among G7-countries with its synergy level, UK, France and USA have highest long-run synergy levels among G7-countries
• Among global players, LR synergy levels of USA, India and Russia do not differmuch after 2002 (LR-SI is about +0.75), but synergy level of China remains on lower level (LR-SI is about +0.3) in the period of 2002-2015
• In 2002 Russia had very negative synergy level (LR-SI was -0.86), but Russian Federation improved its performance after this exceptional year. Development to negative direction in long-run synergy started in 1999 although industrialproduction increased 10% in Russian Federation in years 2000-2002. This specialobservation requires more attention in the field of global innovation ecosystemresearch
• Among European G7-group members, France had the best positive LR-synergylevel performance in 1997-2015, Italy showed two negative LR synergy breaks in 1998 (LR-SI -0.86) and 2002 (LR-SI -0.30), but it has showed better peroformanceafter this year (Average LR-SI +0.60 in 2003-2015)
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Thank you for attention!
Dr Jyrki Luukkanen, FFRC,TSE, University of Turku
Dr Jari Kaivo-oja, FFRC,TSE, University of Turku
Dr Teemu Haukioja, Pori Unit, TSE, University of Turku