Productivity Decomposition presentation. July 8th 2015

24
Decomposing UK Aggregate Labour Produc7vity and Growth 19982013 ERC Theme 6 Reference Group Mee7ng 8 th July 2015

Transcript of Productivity Decomposition presentation. July 8th 2015

Page 1: Productivity Decomposition presentation. July 8th 2015

Decomposing  UK  Aggregate  Labour  Produc7vity  and  Growth  

1998-­‐2013  

ERC  Theme  6  Reference  Group  Mee7ng  8th  July  2015  

Page 2: Productivity Decomposition presentation. July 8th 2015

Outline  

•  Introduc7on  and  execu7ve  summary  •  Background  literature  

–  Why  produc+vity  ma1ers  –  UK  produc+vity:  the  puzzle  and  the  debate  –  Small  business  produc+vity  

•  Data  and  methodology  •  Findings  

–  Se<ng  up  the  scene  –  Decomposi+on  results  

•  Summary  and  discussion  

Page 3: Productivity Decomposition presentation. July 8th 2015

Context  

•  Ongoing  discussions  and  debates  on  the  UK  Produc7vity  Puzzle  –  Its  impera7ves  – Exis7ng  theories  and  specula7ons  

•  The  gaps  of  our  knowledge  that  we  aim  to  fill  – Firm  heterogeneity  

•  Firms  growth  paWerns  •  Role  of  SMEs  •  Role  of  young  vs  mature  firms  

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This  Research  •  To  enhance  our  understanding  of  UK  labour  produc7vity  

changes  over  the  period  1998-­‐2013,  by  conduc7ng  an  in-­‐depth  analysis  of  UK  firm  produc7vity  growth  paWerns,  to  iden7fy  the  contribu7ons  of  different  types  of  heterogeneous  firms  to  aggregate  labour  produc7vity  in  the  UK.  

 

•  We  focus  on  the  produc7vity  improvements  among  surviving  firms  and  resource  alloca7on  effects  among  surviving  firms,  entry  and  exit  firms;  further  we  study  the  specific  contribu7ons  of  heterogeneous  firms  (firms  showing  different  growth  paWerns,  in  different  size  and  age).    

•  BSD  data;  Melitz  and  Polanec  (2012)  Decomposi7on  approach  

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Background  literature:    UK  Produc7vity  the  puzzle  and  the  debate  Poten7al  explana7ons  of  the  produc7vity  puzzle,  which  are  subject  to  debate:      •  Demand  side  and  global  impact  -­‐  the  weakened  demand  depressed  the  

economy’s  produc7ve  capacity  through  cuts  in  investment  and  depressed  technological  progress  (Pryce,  2015).  

•  Measurement  issues  -­‐  BarneW  et  al  (2014)  argue  that  this  could  explain  up  to  4  per  cent  (one  quarter)  of  the  produc7vity  shordall  since  the  beginning  of  the  recession.  Outlton  and  Sebas7á-­‐Barriel  (2013)  argue  4-­‐16  per  cent  of  the  produc7vity  shordall  was  due  to  measurement  issues.  

 •  Financial  constraints  -­‐  the  availability  and  cost  of  bank  credit  were  

adversely  affected  by  the  onset  of  recession  (Riley  et  al,  2014a).    UK  banks  have  tolerated  underperforming  companies  to  survive,  which  poten7ally  led  to  less  exits  and  hence  low  produc7vity  (Pessoa  and  Van  Reenen,  2014;  Bryson  and  Forth,  2015).  

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UK  Produc7vity  the  puzzle  and  the  debate  

•  Labour  market  factors  -­‐  Companies  reserved  labour  (“labour  hoarding”)  as  output  fell  in  recession,  when  facing  uncertain  demand,  in  order  to  avoid  the  costs  of  firing  and  then  re-­‐hiring  (Mar7n  and  Rowthorn,  2012;  Butcher  and  Bursnall,  2013;  BarneW  et  al  2014).  

•  Self-­‐employment  -­‐  Many  jobs  created  or  safe-­‐guarded  over  the  recession  were  part-­‐7me,  zero-­‐hour  contract  jobs  and  self-­‐employment  with  lower  pay,  less  training  provided  and  poor  skill  u7lising  jobs  (Mar7n  and  Rowthorn,  2012).  

•  Capital  shallowing  -­‐  As  the  rela7ve  cost  of  labour  and  capital  drops,  the  capital-­‐labour  ra7o  declines.  Declined  real  wage  and  increased  cost  of  capital  has  been  observed  empirically  (Broadbent,  2012;  Pessoa  and  Van  Reenen,  2013).  

•  Capital  misalloca+on  effects  -­‐  the  financial  crisis  has  likely  resulted  in  a  misalloca7on  of  capital  to  less  produc7ve  firms,  and  keeping  zombie  firms  alive,  many  of  which  are  small  but  not  produc7ve  (IFS,  2013;  Bank  of  England,  2014).  

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Background  literature:    Small  business  produc7vity  

•  High  growth  firms    •  Produc7vity,  firm  size  and  employment  crea7on  •  Technology  and  innova7on    •  Interna7onal  context  •  Central  ques7ons:  

–  How  to  make  small  businesses  on  average  more  produc7ve  –  by  understanding  the  produc7vity  growth  drivers  and  barriers?    

–  How  to  allocate  resources  to  more  produc7ve  firms,  and  to  do  this,  we  need  to  understand  the  contribu7on  of  small  businesses  to  aggregate  produc7vity?    

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Data  and  Methodology  •  We  use  the  longitudinal  version  of  the  firm  level  popula7on  data  from  the  

Business  Structure  Database  (BSD)    

•  We  apply  the  Melitz  and  Polanec  (2012)  aggregate  produc7vity  and  growth  decomposi7on  methodology  

•  We  categorise  firms  into  their  annual  labour  produc7vity  growth  groups:  Produc'vity  growth   Produc'vity  decline  

Fake  growth      Posi7ve   produc7vity   growth,   whereby   produc7vity   increases   through   a  contrac7on   in   employment   (dy=0>dE);   or   where   the   contrac7on   in  employment  is  faster  than  the  contrac7on  in  turnover  (dE<dY<0).  

Decline  by  efficiency  loss  

Nega7ve   produc7vity   growth,   whereby   turnover  

decreases   but   employment   grows   (dY≤0<dE)   or   where  

employment  and  turnover  grow  but  employment  growth  

outpaces  turnover  growth  (0<dY<dE).    Growth  hero  Posi7ve   produc7vity   growth,   whereby   turnover   and   employment   both  grow,  the  growth  in  turnover  faster  than  employment  (dY>dE>0).    

Jobless  growth  

Posi7ve   produc7vity   growth,   whereby   turnover   increases   with   either   no  employment  growth,  or  with  employment  contrac7on  (dY>dE≤0).  

Decline  by  contrac'on  Nega7ve   produc7vity   growth,   whereby   turnover   and  

employment  both  decrease  but   turnover   contracts  more  

than  employment  (dY<dE≤0).  Note:  Y  denotes  turnover,  and  E  denotes  employment,  d  is  the  rate  of  change.    

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Methodology  (con7.)  •  We  categorise  firms  into  sectors  based  on  2-­‐digit  SIC  (2007)  –  we  

exclude  Agriculture;    Mining;  Energy  and  Water;  Finance  and  Insurance  and  Real  Estate  

•  We  differen7ate  firms  by  different  size  and  age  bands:  Age:    

–  Entrants  (aged  0)  –  Young  Firms  (aged  1-­‐5)  –  Mature  Firms  (aged  6+)  

Size:  –  Single  employee  firms  –  firms  with  2-­‐249  employees  –  Firms  with  250+  employees    

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Setng  the  Scene  

Aggregate and Average Labour Productivity level and growth 1998-2013

Source: Authors own calculations of BSD data

-­‐6.0

-­‐4.0

-­‐2.0

0.0

2.0

4.0

6.0

0

20,000

40,000

60,000

80,000

100,000

120,000

140,000

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

Percen

tage  cha

nge

Labo

ur  Produ

ctivity

 (£)

Aggregate  LP  Avg  LP

Aggregate  LP  Growth Avg  LP  growth

Employment and employment growth 1998-2013

-­‐4.0  -­‐3.0  -­‐2.0  -­‐1.0  0.0  1.0  2.0  3.0  4.0  

14,000,000  

14,500,000  

15,000,000  

15,500,000  

16,000,000  

16,500,000  

17,000,000  1998  

1999  

2000  

2001  

2002  

2003  

2004  

2005  

2006  

2007  

2008  

2009  

2010  

2011  

2012  

2013  

Percen

tage  cha

nge  

No.  Of  e

mployees  

employees    employment  growth  

Turnover and turnover growth 1998-2013

-­‐6.0  

-­‐4.0  

-­‐2.0  

0.0  

2.0  

4.0  

6.0  

8.0  

1,000,000  

1,200,000  

1,400,000  

1,600,000  

1,800,000  

2,000,000  

1998  

1999  

2000  

2001  

2002  

2003  

2004  

2005  

2006  

2007  

2008  

2009  

2010  

2011  

2012  

2013  

Percen

tage  cha

nge  

Turnover  (£

m)    

turnover   turnover  growth  

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Setng  the  scene  Proportion of entering firms by sector

5.0  

10.0  

15.0  

20.0  

25.0  

30.0  

35.0  

1998  1999  2000  2001  2002  2003  2004  2005  2006  2007  2008  2009  2010  2011  2012  2013  

manuf   const   whls   trans   accomm  

info   prof   arts   othsvs  

Proportion of exiting firms by sector

0.0  

2.0  

4.0  

6.0  

8.0  

10.0  

12.0  

14.0  

16.0  

1998  1999  2000  2001  2002  2003  2004  2005  2006  2007  2008  2009  2010  2011  2012  2013  

manuf   const   whls   trans   accomm  

info   prof   arts   othsvs  

Exiters Entrants

% %

1998 1.6 19.6

1999 6.1 15

2000 7.6 15.7

2001 7.3 15.6

2002 8.8 14.8

2003 8.2 15.3

2004 9.7 17.8

2005 9.9 16

2006 9.6 15.3

2007 9.5 15.2

2008 10.9 16.1

2009 11.7 11.9

2010 12.1 11

2011 11.4 11.2

2012 8.8 14.9

2013 10.3 13.3

Na7onal  picture:  

Page 12: Productivity Decomposition presentation. July 8th 2015

Setng  the  Scene  Productivity Growth Patterns by Type of Growth 1998-2013

1998   1999   2000   2001   2002   2003   2004   2005   2006   2007   2008   2009   2010   2011   2012   2013  Decline  by  contrac7on   40   44   44   41   40   38   38   40   42   34   44   44   38   47   39   40  

Decline  by  efficiency  loss   10   11   11   11   19   11   10   11   11   14   13   16   12   11   17   15  

Jobless  growth   42   37   38   40   30   42   42   40   39   42   33   31   40   33   34   34  

Growth  hero   3   3   2   3   3   3   3   3   3   4   3   3   3   3   3   4  

Fake  growth   6   5   5   5   9   6   7   6   5   7   7   7   6   7   7   8  

0%  

10%  

20%  

30%  

40%  

50%  

60%  

70%  

80%  

90%  

100%  

Contrib

u'on

 to  Con

'nuing  Firm

s  (%)    

Source: Authors own calculations of BSD data

Page 13: Productivity Decomposition presentation. July 8th 2015

Aggregate  labour  produc7vity  decomposi7on  results  

Aggregate Labour Productivity 1998-2013 (log of £000s)

3.700  

3.750  

3.800  

3.850  

3.900  

3.950  

4.000  

4.050  

4.100  

4.150  

4.200  

4.250  

1998   1999   2000   2001   2002   2003   2004   2005   2006   2007   2008   2009   2010   2011   2012   2013  

Aggregte  LP  

Average  LP  of  surviving  firms  

Source: Authors own calculations of BSD data

Page 14: Productivity Decomposition presentation. July 8th 2015

Decomposi7on:  Aggregate  Results  

Labour Productivity of Entrants and Exits and Resource Allocation of Surviving Firms 1998 - 2013

-­‐0.150  

-­‐0.100  

-­‐0.050  

0.000  

0.050  

0.100  

0.150  

0.200  

1998   1999   2000   2001   2002   2003   2004   2005   2006   2007   2008   2009   2010   2011   2012   2013  

Resource  alloca7on  of  surviving  firms  

Average  LP  of  entrants  

Average  LP  of  exits  

Source: Authors own calculations of BSD data

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Decomposi7on:  Aggregate  Results  Decomposition of Aggregate Labour Productivity Growth: within firm productivity growth and resource allocation,

Whole Economy

-­‐0.060  

-­‐0.040  

-­‐0.020  

0.000  

0.020  

0.040  

0.060  

0.080  

0.100  

1999   2000   2001   2002   2003   2004   2005   2006   2007   2008   2009   2010   2011   2012   2013  

Aggregate  labour  produc7vity  growth  

Contribu7on  of  within  firm  produc7vity  improvement  

Contribu7on  of  overall  resource  alloca7on  

Source: Authors own calculations of BSD data

Page 16: Productivity Decomposition presentation. July 8th 2015

           

Aggregate  LP  growth  

Aggregate  labour  Produc'vity  growth  decomposi'on  i.  Labour  produc7vity  improvement    of  surviving  firms  

ii.+iii.+iv.  Total  resource  alloca7on  effects  

Among  which:  

ii.  Improvement  in  resource  alloca7on  

among  surviving  firms  

iii.+iv.  Improvement  of  

net  entry  and  Exit  

iii.  Improvemen

t  in  exit  

iv.  Improvement  

in  entry  

∆Φ↓t   =i.+ii.+iii.+iv.  

ϕ↓S2  − ϕ↓S1    

   

∑𝑖∈𝑆↑▒𝑐𝑜𝑣(s↓i2↑k , ϕ↓i2 ) −∑𝑖∈𝑆↑▒𝑐𝑜𝑣(s↓i1↑k , ϕ↓i1 )   

   w↓X1 [Φ↓S1 − Φ↓X1 ]  

w↓E2 [Φ↓E2 − Φ↓S2 ]  

    (1)   (2)   (3)   (4)   (5)   (6)   (7)  1999-­‐2001  average   -­‐0.004   -­‐0.024   0.020   0.013   0.007   0.003   0.004  2002-­‐2004  average   0.022   0.002   0.020   0.015   0.005   0.002   0.003  2005-­‐2007  average   0.050   0.013   0.037   0.025   0.013   0.005   0.007  2008-­‐2010  average   0.027   -­‐0.002   0.029   0.009   0.020   0.010   0.011  2011-­‐2013  average   0.015   -­‐0.021   0.036   0.014   0.021   0.010   0.012  All  year  average   0.022   -­‐0.006   0.028   0.015   0.013   0.006   0.007  

Page 17: Productivity Decomposition presentation. July 8th 2015

Decomposi7on  by  LP  Growth  Groups   Aggregate Labour Productivity decomposition by firm growth patterns

1998   1999   2000   2001   2002   2003   2004   2005   2006   2007   2008   2009   2010   2011   2012   2013  Fake  growth   6.56   5.22   5.06   6.71   7.69   7.81   6.19   8.68   5.61   7.64   7.41   7.36   11.10   9.04   8.11   8.38  

Growth  hero   14.57   18.92   10.57   12.47   14.44   12.24   12.00   11.64   12.86   16.38   15.20   13.57   14.23   11.63   12.94   16.69  

Jobless  growth   26.47   28.39   25.74   26.33   24.19   28.11   31.58   26.93   29.68   27.82   21.10   22.68   28.05   26.97   24.44   25.21  

Decline  by  efficiency  loss   26.07   23.27   29.56   27.24   28.76   25.43   20.83   26.73   26.83   26.61   26.86   30.31   24.70   24.61   28.35   26.95  

Decline  by  contrac7on   17.75   17.95   22.88   20.14   17.69   19.35   22.34   19.61   18.90   15.56   21.27   20.43   17.34   22.99   20.55   18.05  

0.00  

5.00  

10.00  

15.00  

20.00  

25.00  

30.00  

35.00  

Contrib

u'on

 to  ALP  (%

)  

Source: Authors own calculations of BSD data

Page 18: Productivity Decomposition presentation. July 8th 2015

Decomposi7on  by  LP  Growth  Groups  Aggregate Labour productivity decomposition: contribution of resource allocation by surviving firms

1998   1999   2000   2001   2002   2003   2004   2005   2006   2007   2008   2009   2010   2011   2012   2013  Fake  growth   -­‐0.06   -­‐0.03   -­‐0.02   -­‐0.03   -­‐0.07   -­‐0.06   -­‐0.05   -­‐0.06   -­‐0.05   -­‐0.07   -­‐0.05   -­‐0.07   -­‐0.04   -­‐0.01   -­‐0.01   -­‐0.05  

Growth  hero   0.04   0.06   0.03   0.05   0.09   -­‐0.01   0.06   0.02   0.04   0.08   0.11   0.12   0.09   0.01   0.10   0.16  

Jobless  growth   -­‐0.08   -­‐0.39   -­‐0.33   -­‐0.35   -­‐0.43   0.01   -­‐0.59   -­‐0.37   0.05   -­‐0.07   -­‐0.17   -­‐0.15   -­‐0.18   -­‐0.33   -­‐0.30   -­‐0.20  

Decline  by  efficiency  loss   -­‐0.48   -­‐0.09   -­‐0.16   -­‐0.28   -­‐0.22   -­‐0.02   -­‐0.10   -­‐0.12   -­‐0.25   0.05   0.10   0.03   0.01   0.18   0.37   0.09  

Decline  by  contrac7on   1.01   0.31   0.38   0.40   0.62   0.31   0.63   0.37   0.36   0.50   1.14   1.30   0.71   0.74   0.81   0.68  

-­‐1.00  

-­‐0.50  

0.00  

0.50  

1.00  

1.50  

Contrib

u'on

 to  ALP  (%

)  

Source: Authors own calculations of BSD data

Page 19: Productivity Decomposition presentation. July 8th 2015

Decomposi7on  by  Size  Aggregate labour productivity by firm size

0.5

11.5

2

2000 2005 2010 20152000 2005 2010 20152000 2005 2010 2015

Single employee firms Employees of 2-249 Employees of 250+

Aggregate LPWeighted average LP level of surviving firmscontribution of resource allocation among surviving firmscontribution of entrantscontribution of exits

LP le

vel

year

Graphs by size

.

Source: Authors own calculations of BSD data

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Decomposi7on  by  Size  •  SMEs  (2-­‐249)  show  highest  produc7vity  growth  over  the  whole  period,  

while  single  employee  firms’  aggregate  produc7vity  growth  has  been  mostly  nega7ve  with  the  level  remaining  largely  unchanged    

•  Single-­‐employee  firms  –  Aggregate  labour  produc7vity  growth  is  almost  en7rely  driven  by  the  average  

level  of  within-­‐firm  produc7vity  growth,  while  resource  alloca7on  effects  are  trivial.    

–  These  small  resource  alloca7on  effects  have  been  driven  up  by  exits,  which  surged  during  the  recession  periods.  This  suggests  that  much  more  unproduc7ve  single  employee  firms  died  during  difficult  7mes  and  that  improved  the  overall  produc7vity  growth  of  this  type  of  firm.    

Page 21: Productivity Decomposition presentation. July 8th 2015

Decomposi7on  by  Size  (con7.)  

•  SMEs  –  The  aggregate  produc7vity  of  this  group  was  not  en7rely  driven  by  survivors’  average  produc7vity  growth  as  resource  alloca7on  also  played  the  most  important  role  compared  to  other  size  bands.    

–  Resource  alloca7on  amongst  SMEs  has  been  improving  since  2005  and  contributed  an  even  higher  share  during  the  recession  period,  with  exit  contribu7ng  more  than  entry,  sugges7ng  some  cleansing  effects  

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Summary  of  the  findings    

•  Considerable  sectoral  differences  in  produc7vity  paWerns  and  the  experience  during  the  recent  recession.  

 •  Significant  business  demographic  changes  underline  the  UK  aggregate  produc7vity  

change,  featured  by  an  increasing  number  of  small  businesses  especially  single-­‐employee  firms,  more  exits  and  less  entrants.    

•  Heterogeneous  firm  growth  paWerns  are  behind  aggregate  produc7vity  changes,  and  we  find  several  interes7ng  phenomena  such  as  resilient  “Growth  heroes”  and  a  large  chunk  of  ‘Decline  by  contrac7on’  firms.  

 •  Within  firms’  produc7vity  improvement  has  been  mainly  responsible  for  aggregate  

produc7vity  changes  in  the  UK.  

•  Resource  alloca7on  on  average  played  a  very  limited  role  in  driving  the  aggregate  produc7vity  change.  

Page 23: Productivity Decomposition presentation. July 8th 2015

Disclaimer  

•  "This  work  contains   sta+s+cal  data   from  ONS  which  is   Crown   Copyright.   The   use   of   the   ONS   sta+s+cal  data  in  this  work  does  not  imply  the  endorsement  of  the  ONS   in   rela+on   to   the   interpreta+on  or  analysis  of   the   sta+s+cal   data.   This   work   uses   research  datasets  which  may   not   exactly   reproduce   Na+onal  Sta+s+cs  aggregates."    

Page 24: Productivity Decomposition presentation. July 8th 2015

Contact  us:      

Jun  Du  at  [email protected]  Karen  Bonner  at  [email protected]  

 More  details  about  the  ac7vi7es  of  the  ERC  and  our  latest  events  can  be  

found  at:  www.enterpriseresearch.ac.uk