Regulation and growth
Giuseppe Nicoletti
OECD Departm ent of Econom ics
Ninth ACCC Regulatory Conference Revisiting the rationale for regulation 24-25 July 2008, Surfers’ Paradise
Regulation and growth Giuseppe Nicoletti OECD Departm ent of - - PowerPoint PPT Presentation
Ninth ACCC Regulatory Conference Revisiting the rationale for regulation 24-25 July 2008, Surfers Paradise Regulation and growth Giuseppe Nicoletti OECD Departm ent of Econom ics Outline Regulation, competition and growth: why should
Giuseppe Nicoletti
OECD Departm ent of Econom ics
Ninth ACCC Regulatory Conference Revisiting the rationale for regulation 24-25 July 2008, Surfers’ Paradise
OECD countries be concerned?
across countries
growth
been large over the past two decades
countries more recently
m ain source of differences, more specifically:
– ICT investment and contribution to productivity – Efficiency in use of inputs and innovation (MFP) especially in ICT-producing and ICT-using industries – Productivity developments in market services crucial
growth through productivity
– Financial markets/ access to credit/ risk capital – Education/ skilled labour – Governance/ property rights protection
But policy drivers of competitive pressures are key:
– International openness – Low barriers to entry in competitive markets – Promoting competition in network industries
markets appear to have been crucial for reversing productivity slowdown in some OECD countries
to have reaped the full benefits of global ICT shock
– Measure differences in policies that affect competitive pressures across countries/ sectors – By which channels do these policies affect aggregate productivity?
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– Outcomes - market structure/ market power/ government presence – Survey data - with businesses or consumers – Dummies at policy turns - e.g. NAFTA, EU Single Market – Survey of laws and regulations
competition/ bureaucracy/ interventionism?
and regulations that bridle or promote competitive pressures
– Sheltered from international competition – More regulated (market failures) higher risk of regulatory failure – Contribute to aggregate productivity growth both directly and as increasingly important intermediate inputs into other sectors – Regulation-induced inefficiencies in non-manuf. can propagate throughout economy
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past two decades, but at very different pace and depth across countries
differences in policies across countries remain significant
the ICT shock (mid 1990s)
a burden on crucial ICT-using sectors:
– Because they are themselves inappropriately regulated (e.g. retail and business services) – Or because they are intensive users of inappropriately regulated non-manufacturing products (e.g. machinery and equipment)
and heterogeneous service regulations
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utilisation
m ost relevant link to growth because
– Can have larger and potentially more persistent effects through investment, efficient use of inputs and innovation – For brevity, I will skip policy effects on capital deepening , which however can be relevant especially if there is a link between capital accumulation and growth – I will focus on policy effects on capital quality (ICT share) and so-called “multifactor productivity” (MFP)
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innovations (MFP)
testing
firms
productive firms and industries 1. Within firm growth
firm s/ industries
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m ost easily to fast growing high productivity firm s and industries –Wide heterogeneity of productivity levels and growth across industries –ICT-intensive industries have driven aggregate growth performance over past decade –Wide heterogeneity of firm-level productivity performance within markets, industries, countries –ICT-intensive sectors tend to have higher dispersion with fatter right tail (the gazelles) driving aggregate performance
Stylized facts
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– They curb competitive pressures where competition is viable – They increase firms’adjustment costs
sectors through cost and quality of intermediate inputs (proportionally to the intensity in use of non-manufacturing inputs)
1. Incentives and ability to improve efficiency of incumbent firms 2. The cleansing and nurturing role of creative destruction 3. Reallocation of resources to fast-growing firms/ industries
industries that have driven aggregate productivity performance in OECD countries over past decade
regulation also show up as an induced slowdown in the rate of catch-up to best practice
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Results from cross-country/ industry panels focusing on labour productivity:
was higher and above-median growth more common
invested more in ICT (and used ICT more efficiently?)
– estimates suggest that easier regulation can increase ICT adoption substantially – e.g. in Australia up to 5 percentage points of 1985-03 increase in ICT explained by good PM policies
practice was faster, especially in ICT-using industries
global ICT productivity shock
– e.g. in Australia estimates suggest that good regulation made it possible to reflect up to 80% of such a shock in domestic labour productivity of ICT-using industries (vs 65% in Italy) – deep reform concomitant with general purpose technology shock was very fortunate – at industry level, the further from the frontier the larger the benefit of good regulation for productivity because of faster induced catch-up
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Results from cross-country/ firm -level panels focusing on MFP perform ance:
reallocate resources towards most productive and fast-growing firms, which were largely responsible for heterogeneity and growth acceleration over past decade
fell on:
best practice through technology adoption and retooling
prevailing in neck and neck competition was key
from regulations that promote competition
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by good product market policies
administrative and regulatory reforms made it easier for Australia to catch ICT train
that have potential to excel internationally
are product market areas in which more needs to be done to keep sustaining growth, e.g.:
– Eliminate regulatory barriers to interstate trade in services – Eliminate cross-jurisdictional inconsistencies in regulation of network industries – Accelerate establishment of competitive energy market – Ensure that regulatory policies are conducive to adequate and efficient infrastructure investment
1 2 3 4 5 6
IRL LUX PRT ESP JPN NLD GBR ITA USA BEL AUS FIN DNK FRA DEU SWE GRC CAN
GDP per capita growth Contributions to GDP per capita growth from trend changes in: GDP trended per hours worked Total hours/working-age population Working-age population/total population 1986-1995 1995-2006
1 2 3 4 5 6
IRL LUX GRC FIN ESP GBR SWE AUS NLD CAN PRT USA BEL DNK FRA DEU JPN ITA
Decomposition of GDP per capita growth
Catch-up and convergence in OECD income levels, 1995-2006, relative to the United States
Australia Austria Belgium Canada Czech Republic Denmark Finland France Germany Greece Hungary Iceland Ireland Italy Japan Korea Mexico Netherlands New Zealand Norway Poland Portugal Slovak Rep. Spain Sweden Switzerland Turkey UK
0.5 1.5 2.5 3.5
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Gap in GDP per capita (%), 1994 Gap in average growth rate (%) 1995-2006
Convergence zone Divergence zone
Productivity growth in total market services
Value added per person employed , percentage change at annual rate
1 2 3 4 % 2000-2005 1995-2000
Contribution of ICT capital to GDP growth, 1985-2006 and 2001- 2006 (or closest year available)
percentage points
0.0% 0.1% 0.2% 0.3% 0.4% 0.5% 0.6% 0.7% 0.8% 2001-2006 1985-2006
Hourly productivity growth and its components
1985-2006
0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0%
contribution of capital deepening MFP growth Labour productivity growth
Regulation and productivity acceleration are negatively correlated
Australia Austria Belgium C anada Denmark Finland France G ermany G reece Ireland Italy J apan Netherlands New Zealand Norway Portugal S pain S weden S witzerland United Kingdom United S tates
0.0 0.5 1.0 1.5 2.0 2.5 3.0 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 R egulation in non-manufac turing s ec tors , 1980-95 average
C
t-statistic=-1.91 without Greece: C
t-statistic=-4.62 Annual average percentage point acceleration in labour productivity growth 1996-2005 vs 1985-1995
1985-2003
1 2 3 4 5 6
Barriers to entry Public ownership Market structure Vertical integration Price control
1985 1995 2003
Aggregate regulation and its components in 2003
0.0 0.5 1.0 1.5 2.0 2.5 3.0
S tate control B arriers to entrepreneurship B arriers to trade and investment
manufacturing (norm) 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9
Sweden Netherlands Denmark Ireland Australia United States Finland United Kingdom New Zealand Canada Switzerland Spain Greece Portugal France Norway Belgium Japan Germany Italy Austria
0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1
Ireland Netherlands New Zealand Sweden Denmark United Kingdom Switzerland United States Australia Finland France Belgium Canada Germany Spain Portugal Norway Japan Italy Greece Austria
ict producing ict using non-ict
Burden of non-manufacturing regulation
Product market regulation and the diffusion of ICT are negatively correlated
Australia Austria Belgium Canada Denmark Finland France Germany Greece Ireland Italy Japan Netherlands New Zealand Norway Portugal Spain Sweden United Kingdom United States
5 10 15 20 25 30 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 Average ICT investment (% total investment), 95-05 Average regulation in ETCR sectors, 93-03 Correlation coefficient = -0.71 t-statistic = -4.29
This simple correlation is confirmed by multivariate regression analysis.
1 0 2 0 3 0
.0 5 .1
DEU ESP FRA IT A GBR I RL U SA
1 0 2 0 3 0 4 0
.0 5 Hi gh re gu la tio n L o w re gu la ti o n
By impact of regulation
By country group
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0% 5% 10% 15% 20% 25% 30% 35% 40% 45% FIN BE L PR T FR A E S P ITA S WE G BR Manufacturing S ervices
Contribution of resource allocation to sectoral MFP levels (Based on Olley-Pakes productivity decomposition)
0.5 1 1.5 2 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4
E S P FR A ITA GBR
Growth of real value added by productivity quartiles (relative to average of country/sector/year group)
Least productive Most productive
Average
Growing faster Growing slower
ESP FRA ITA GBR
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Different abilities of countries to channel resources towards most productive firms
Productivity dispersion across firms in telecommunications
United Kingdom France
The figures present the distribution of labour productivity in each industry and year between the 5th and 95th percentiles. The upper bound of the grey bar represent the 75th percentile, the lower bound the 25th percentile and the line in the middle of each grey bar being the median. Labour productivity is measured as value added per worker in 100 thousands of 1995 Euros. Source: Authors’ calculations from AMADEUS database.
25th %ile 75th %ile 95th %ile 5th %ile
Much of the increase in dispersion comes from top performers.