1 jonathan haskel hmt meeting, march 12 th, 2010 reports on work funded by nesta and fp7...
TRANSCRIPT
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Jonathan Haskel
HMT meeting, March 12th, 2010
Reports on work funded by NESTA and FP7
Productivity and growth session
Options for improving medium to long-run growth
© Imperial College Business School1
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Some big questions
• Will growth return after the crisis?• Can the UK economy prosper with a smaller financial
sector?
© Imperial College Business School
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Understanding growth
(y-l) = 1 (kTAN -l)+ 2 (kINTAN-l)+ (lQUALITY -l) + TFPG
• Hence focus on:• Tangible capital deepening: cost of capital, tax, stability• Intangible capital deepening = R&D, and non-R&D • Labour force quality: education, training etc.• TFPG: spillovers from R&D, non-R&D, universities,
foreigners
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Will long run growth resume at previous levels?• Possible scenarios
• Cost of capital higher• Tighter bank regulation, more risk averse banks, increased taxes and base rates
• Size of financial services sector lower• Less demand • Lower employment
• Public investment falls• Easy to cut• Infrastructure gets worse
• Tangible infrastructure: transport, buildings, telecoms network• Intangible/knowledge infrastructure: schools, universities
• Policy mistakes• Unemployment literature: post adverse shocks in 70s and 80s: rise in employment taxes,
replacement ratios, subsidies stopping market sorting
• Implies• Capital deepening slows down during adjustment to lower K/L ratio• Labour quality deepening slows down• Spillovers from tangible and intangible infrastructure less: TFPG slows down• Economy-wide TFPG slows as financial services smaller (via averaging effect)• Lower productivity growth as sorting effects fall
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Lab quality Computers Other tang Intang TFP growthWith intangibles1990-95 3.02% 0.18% 0.41% 0.71% 0.74% 0.98%1995-00 3.69% 0.25% 0.90% 0.27% 0.84% 1.43%2000-07 2.73% 0.17% 0.38% 0.37% 0.54% 1.27%
Share Lab Pr Growth 6% 18% 14% 22% 39%
Lab Prod Growth
Contribution of:
Contribution of capital deepening, labour quality and TFP to growth: NESTA innovation index
1. Major contributors to labour productivity growth, 1990-20071. TFPG (39%)2. Intangibles (22%)3. Tangibles: computers (18%)4. Tangibles: other (14%)5. Labour quality (6%)
2. Question: what happened to these contributions in previous recessions?
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What happened to tangibles/intangibles in earlier recessions?
• Output per hour fell: 1990-91• Output per hour slowed: 2001-2002• Familiar: tangible investment fell• Additional question raised by intangible research:
• What was the impact on intangible investment? • We have decent time series for
• Tangible investment (computers, other)• Intangible investment
• Software (own account, purchased)• R&D• Advertising
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Investment, £bn CP
• 90s recession – big drop in tang, but intang inv remains flat, Likewise in 2000s slowdown• So does intangibles “cushion” effects for growth?• No, its K deep and contrib that matters for growth
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S/ware
R&D
Adv
Tang
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Growth in Capital deepening: Δln(K/L), 1989-95
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
1989 1990 1991 1992 1993 1994 1995
comp
othtan
rd
softoa
softp
adv
S/w and comp are different, and part distorted by Y2K and s/ware bundling
K deep for othtan and intang are similar, in early 90s, after changes in inv feed through to K stock
Why is this different to Investment: depreciation is different
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Contributions of comp, othtan and intang i.e. share* Δln(K/L)
Cont of tang (esp othtan) are much more volatile, and turned –ve shortly after 90s recession. Intang fell, but remained +ve
-0.01
-0.005
0
0.005
0.01
0.015
0.02
0.025
1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
cont comp
cont othtan
cont intan
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Policy: some speculative and provocative remarks
• Redoubles emphasis on capital deepening, but both tangible and intangible• Key margins: tax, regime certainty• Much intangible investment we think is new business models. Basic presumption
should be: regulation lowers productivity since stops experimentation.• Industrial support
• Job flows and reallocation are huge. Spotting winning firms/industries requires massive information.
• Support for weak companies lowers productivity growth (cuts off reallocation). Regional assistance?
• Support for good companies is deadweight; example patent box. V expensive, £1.5bn, no effect on innovation.
• Labour quality• Over long run, early education, huge externalities. Ring fence this.• Liberate universities from central planning• Many government low level training schemes have zero rate of return. Scarring?
• Public sector infrastructure• Cuts to university research to fund patent box will massively lower growth
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More on the impact of public sector R&D on TFPG
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Very large increase in research council spend
© Imperial College Business School
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4£b
n
1985 1990 1995 2000 2005 2010year
Res Council R&D spend Civil R&D spend Defence R&D spend HEFC R&D spend
Spending on Public R & D by Administrative Unit
Source: BIS data. Official data on publicaly supported R&D is broken down into funding for research councils, HEFC research-designated spend, civil R&D and defence R&D
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MARKET SECTOR TFP GROWTH AND RESEARCH COUNCIL SPENDING
1989
1987
1988
19901991
1992
20001999
2001
1998 1997
2002
1993
19951996
1994
2003
2004
2005 20072006
-.01
0.0
1.0
2.0
3
.002 .0025 .003 .0035RCoun_RD_y_n_L1
Smoothed TFPG Fitted values
Smoothed TFPG and RCouncil R & D spend
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MARKET SECTOR TFP GROWTH AND NON-RESEARCH COUNCIL SPENDING
199919982000
19972001
19962002
1991
1995
19942004
1990
20032005
1993
1992
20062007
1989
1988
1987
-.0
10
.01
.02
.03
.0016 .0018 .002 .0022 .0024HEFC_RD_y_n_L1
Smoothed TFPG Fitted values
Smoothed TFPG and HEFC R & D
200720061995199920052000
20011998
1994
20021992
1993
1997
20042003
1996
199119901989
1988
1987
-.0
10
.01
.02
.03
.0015 .002 .0025 .003 .0035civ_RD_y_n_L1
Smoothed TFPG Fitted values
Smoothed TFPG and Civil R & D
2007
2002
20062005
2001
20041999200020031998199619971995
19931994
19911990
1992
1989
1988
1987
-.0
10
.01
.02
.03
.002 .004 .006 .008def_RD_y_n_L1
Smoothed TFPG Fitted values
Smoothed TFPG and Defence R & D