PRODUCTIVITY AND JOBS
IN A GLOBALISED WORLD:
(HOW) CAN ALL REGIONS
BENEFIT?
Committee of the Regions 26 April 2018
Joaquim Oliveira Martins
Special Advisor to the Director
OECD Centre for Entrepreneurship, SMEs, Regions and Cities
• Productivity and jobs: the regional diffusion challenge
• What supports “catching up”?
• What can policy do to leverage the potential of all regions?
2
Roadmap for the presentation
PRODUCTIVITY AND JOBS: THE REGIONAL DIFFUSION
CHALLENGE
3
Long-term decline in productivity
growth rates: not just the crisis
Source: OECD Productivity database; moving averages (t, t-1, t-2)
Aggregate trends of labour productivity growth, 2000-2016
4 -0.5
0
0.5
1
1.5
2
2.5
3
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Japan US Euro Area
Financial crisis
Convergence in per capita GDP and labour productivity in the OECD/EU
Frontier regions
• most productive regions accounting for 10% of total employment
Catching up/Diverging
• Productivity growth is 5% higher/lower than in the frontier over a 13 year period
5
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Productivity gaps have
narrowed in the EU and
the OECD since 2000
6
But gaps within some
countries are widening
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Countries follow two growth models
Distributed growth model: Catching up supports productivity growth
• AUT, CZE, DEU, ESP, ITA, POL, PRT, ROU
Concentrated growth model: The “frontier” dominates growth
• BGR, DNK, FIN, FRA, GBR, GRC, HUN, NLD, SVK, SWE
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0.1
Within countries Across countries Total inequality
Theil index for GDP per capita (European TL2 regions)
The result: Inequality across European
regions declined, but not within countries
75%
25%
50%
50%
7
Source : OECD (2018) Productivity and Jobs in a Globalised World: (How) Can All Regions Benefit?
55 000
65 000
75 000
85 000
95 000
105 000
2000 2002 2004 2006 2008 2010 2012 2014
Top 10% Bottom 90%Average labour productivity (2010USD)
1% per year
1.1% per year
The challenge of combining growth,
catching up and inequality reduction
0.13
0.14
0.15
0.16
0.17
0.18
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
Catching up dominates Frontier pulls away
Average inequality in per capita GDP across TL3 regions (Gini)
Catching up dominates: AUT, CZE, DEU, ESP, ITA, POL, PRT, ROU
Frontier pulls away: BGR, DNK, FIN, FRA, GBR, GRC, HUN, NLD, SVK, SWE
55 000
65 000
75 000
85 000
95 000
105 000
2000 2002 2004 2006 2008 2010 2012 2014
Top 10% Bottom 90%Average labour productivity (2010USD)
1.6% per year
0.9% per year
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WHAT SUPPORTS “CATCHING UP”?
WELL-FUNCTIONING CITIES
9
• Well-functioning cities
– Home to knowledge-intensive (traded) sectors
– Larger markets can support economic diversity and dynamism
– Agglomeration economies (beyond borders) through urban-rural linkages
What supports catching up?
10
European frontier regions tend to be urban,
catching-up regions rural or intermediate
TL3 regions, 2000-2014
Frontier regions are those with the highest labour productivity (per worker GDP) accounting for at least 10% of total employment. Catching-up/diverging regions grew 5% more/less over a 15-year period than their country’s frontier
11 Source :Adapted from OECD (2016) OECD Regional Outlook 2016: Productive Regions for Inclusive Societies
Traded clusters: Contrast between
urban and rural regions
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Non-traded clusters
Music and Sound Recording
Communications Equipment and Services
Video Production and Distribution
Biopharmaceuticals
Financial Services
Insurance ServicesMarketing, Design, and
Publishing
Business Services
AppliancesNonmetal Mining
Agricultural Inputs and Services
Apparel
Fishing and Fishing Products
Leather and Related Products
ForestryFootwear
10 000
20 000
30 000
40 000
50 000
60 000
70 000
0 10 20 30 40 50 60 70 80 90 100
Average wage in 2010 EUR
Percentage of FTE in mostly urban areas, %
Source : OECD (2018) Productivity and Jobs in a Globalised World: (How) Can All Regions Benefit?
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Space matters: proximity to cities benefits
surrounding rural & intermediate regions
Source: Ahrend and Schumann (2014) “Does regional economic growth
depend on proximity to urban centres?”
WHAT SUPPORTS CATCHING UP?
TRADABLE SECTORS
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• Tradable sectors (that could be traded)
– Face competition even if they are not traded
– Might overcome market size and institutional constraints
– Avoid economic imbalances from excessive expansion of non-tradables
15
What supports catching up?
Annual average GVA growth, 2000-13 Percentage of total GVA (right axis), 2013
-20
-10
0
10
20
30
40
50
60
70
80
-1
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4
Tra
dabl
ese
rvic
es
Indu
stry
Agr
icul
ture
Non
-tra
dabl
ese
rvic
es
%%
-20
-10
0
10
20
30
40
50
60
70
80
-1
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4
Tra
dabl
ese
rvic
es
Indu
stry
Agr
icul
ture
Non
-tra
dabl
ese
rvic
es
%%
-20
-10
0
10
20
30
40
50
60
70
80
-1
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4
Tra
dabl
ese
rvic
es
Indu
stry
Agr
icul
ture
Non
-tra
dabl
ese
rvic
es
%%
Goods
?
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The nature of tradable sectors is changing
… but not in all parts of Europe
EU low-growth regions EU low-income regions Other European regions
Tradable services
Low-income: <50% of EU-average per capita GDP; low-growth: <90% per capita GDP and below average growth Source : OECD (2018) Productivity and Jobs in a Globalised World: (How) Can All Regions Benefit?
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The 2007-08 crisis revealed
unsustainable growth models
21 000
22 000
23 000
24 000
25 000
26 000
27 000
Per capita GDP
17 000
18 000
19 000
20 000
21 000
22 000
23 000
24 000
25 000
26 000
Per capita GDPAndalusia, Spain Central Macedonia, Greece
• Across the OECD real per capita GDP in 2015 remained below 2007-08 levels in 135 out of 350 TL2 regions
• Construction- and consumption-fueled growth turned out to be unsustainable
Source : OECD (2018) Productivity and Jobs in a Globalised World: (How) Can All Regions Benefit?
Regions with strong pre-crisis increases
in non-tradable sectors lost more jobs
18
Calculations based on 208 OECD TL2 regions. Those regions with the largest shifts towards non-tradable sectors suffered higher employment losses, on average, following the 2007-08 crisis.
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
Less than 2.5percentage points
increase
2.5 to 5 percentagepoints
5 to 7.5 percentagepoints
More than 7.5percentage points
increase
Change in the share of non-tradable employment, 2000-07
Employment growth (%), 2008-14
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WHAT CAN POLICY DO TO LEVERAGE THE POTENTIAL
OF ALL REGIONS?
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• Reigniting (public) investment
• Structural reforms (accompanied by complementary policies at the local level)
• Multi-level governance and territorial reforms
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Broad policy responses
This map is for illustrative purposes and iswithout prejudice to the status of or sovereigntyover any territory covered by this map.
Source of administrative boundaries: Nationalstatistical offices, Eurostat (European Commission)© EuroGeographics and FAO Global Administrative
Inv estment (GFCF in 2005 EUR) in 2014 higher than in 2007-08
Inv estment set back by 7 y ears
8 - 12 y ears
13 - 16 y ears
17 - 19 y ears
20 or more y ears
350 km
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• Strategically diversifying regional economies
– Specialised regions more productive, diversified ones grow faster
– Manufacturing important, but tradable services are gaining
• Identifying and building on local strengths
– Linking investment in skills, FDI, and knowledge from the supply chain
– Taking advantage of opportunities for territorial branding
• Integration across actors and policies
– Skills development for place-based needs is a shared responsibility
– But skills policies might not be enough: trade shocks vs automation
Strategies to promote catching up and
employment growth
21
OECD (2018) Productivity and Jobs in a Globalised World: (How) Can All Regions Benefit
http://www.oecd.org/publications/productivity-and-jobs-in-a-globalised-world-9789264293137-en.htm
OECD (2016) OECD Regional Outlook 2016: Productive Regions for Inclusive Societies
http://www.oecd.org/regional/oecd-regional-outlook-2016-9789264260245-en.htm
Thank you
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• The distinguishing feature of “tradable” sectors is that they are exposed to international competition
• Delineating tradable and non-tradable sectors is not straightforward in practice
• As sectors are highly aggregated in regional data the aim is to find a classification that captures mostly tradable/non-tradable activities
The OECD Regional Outlook 2016 classifies sectors as:
23
Classification of tradable sectors:
exposure to international competition
Tradable sectors Non-tradable sectors
A: agriculture, forestry and fishing F: construction
B-E: industry (manufacturing, mining and quarrying, supply of utilities: electricity, gas water, etc.) excluding construction
G-I: wholesale and retail trade, transport, accommodation and food service activities
J: information and communication L: real estate activities*
K: financial and insurance activities M-N: professional, scientific and technical activities, administrative and support service activities
R-U: arts, entertainment and recreation, other service activities, activities of household and extra-territorial organisations and bodies
O-Q: public administration, defence, education, human health and social work activities
* excluded in parts of the analysis