Upload
others
View
1
Download
0
Embed Size (px)
Citation preview
1
Analysisof the Substitution betweenthe Production Factors and Intermediate Inputsin the lightof KLEMS Growth Accounting for PolandDariusz Kotlewski - Warsaw School of Economics and Statistics Poland
and
Mirosław Błażej – Statistics Poland
Sixth World KLEMS Conference March 9-10; 16-17,
2stat.gov.pl
Structure of the presentation:
Part I Introduction
Part II The adopted methodology
Part III Discussion of the results
4stat.gov.pl
Part I Introduction
Although, in various releases of EU KLEMS database Poland is present no decomposition of GVA or GO growth is availablethere (with the exception of 2007 EU KLEMS release).
5stat.gov.pl
Part I Introduction
The reason is that:no sufficient data are being sent to Eurostat on the one handsome data need to be imputed innovatively because they are
not straightforwardly available on the other hand
6stat.gov.pl
Part I Introduction
For over 5 years a GVA decomposition is performed by Statistics Poland thanks to some developments lastlypresented in:
Kotlewski D. and Błażej M. (2020), KLEMS GrowthAccounting Implemented in Poland, Statistics in Transition 3/2020
7stat.gov.pl
Part I Introduction
Lastly, some new input data resource concerning the intermediate inputs in different prices became available. This turn has made possible to perform a gross output
decomposition into the contributions of intermediate inputs, labor services, capital services and MFP.
8stat.gov.pl
Part I Introduction
Having that in mind, it is now possible to compare the two kinds of MFP:gross-output-basedgross-value-added-based
9stat.gov.pl
Part I Introduction
When comparing the two kinds of MFPs, it was assumed that they are both valuable analytical tools
Therefore, the analysis of the substitution phenomenonbetween primary production factors and intermediate inputsis sensible and informative
11stat.gov.pl
Part II The adopted methodology
The methodology is based on the well-known KLEMS type GO growthdecomposition:
∆ 𝑙𝑙𝑙𝑙 𝑌𝑌𝑗𝑗𝑗𝑗 = �̅�𝑣𝑗𝑗𝑗𝑗𝑋𝑋∆ 𝑙𝑙𝑙𝑙 𝑋𝑋𝑗𝑗𝑗𝑗 + �̅�𝑣𝑗𝑗𝑗𝑗𝐾𝐾 ∆ 𝑙𝑙𝑙𝑙 𝐾𝐾𝑗𝑗𝑗𝑗 + �̅�𝑣𝑗𝑗𝑗𝑗𝐿𝐿 ∆ 𝑙𝑙𝑙𝑙 𝐿𝐿𝑗𝑗𝑗𝑗 +∆ 𝑙𝑙𝑙𝑙 𝐴𝐴𝑗𝑗𝑗𝑗𝑌𝑌 (1)
and the well-known KLEMS type GVA growth decomposition:
∆ 𝑙𝑙𝑙𝑙 𝑉𝑉𝑗𝑗𝑗𝑗 = �𝑤𝑤𝑗𝑗𝑗𝑗𝐾𝐾∆ 𝑙𝑙𝑙𝑙 𝐾𝐾𝑗𝑗𝑗𝑗 + �𝑤𝑤𝑗𝑗𝑗𝑗𝐿𝐿∆ 𝑙𝑙𝑙𝑙 𝐿𝐿𝑗𝑗𝑗𝑗 +∆ 𝑙𝑙𝑙𝑙 𝐴𝐴𝑗𝑗𝑗𝑗𝑉𝑉 (2)
However, the decomposition (2) is the one that is usually performed because ofdata availability issues!
12stat.gov.pl
Part II The adopted methodology
It is best the calculations to remain consistent between (1) and (2). Some
mathematical tool discrepancies will then be reduced. To do so, some values from
(2) have to be transposed into (1) as following:
∆ 𝑙𝑙𝑙𝑙 𝑌𝑌𝑗𝑗𝑗𝑗 = �̅�𝑣𝑗𝑗𝑗𝑗𝑋𝑋∆ 𝑙𝑙𝑙𝑙 𝑋𝑋𝑗𝑗𝑗𝑗 +𝑉𝑉𝑗𝑗𝑗𝑗𝑌𝑌𝑗𝑗𝑗𝑗
�𝑤𝑤𝑗𝑗𝑗𝑗𝐾𝐾 ∆ 𝑙𝑙𝑙𝑙 𝐾𝐾𝑗𝑗𝑗𝑗 +𝑉𝑉𝑗𝑗𝑗𝑗𝑌𝑌𝑗𝑗𝑗𝑗
�𝑤𝑤𝑗𝑗𝑗𝑗𝐿𝐿∆ 𝑙𝑙𝑙𝑙 𝐿𝐿𝑗𝑗𝑗𝑗 +∆ 𝑙𝑙𝑙𝑙 𝐴𝐴𝑗𝑗𝑗𝑗𝑌𝑌 (3)
13stat.gov.pl
Part II The adopted methodology
∆ 𝑙𝑙𝑙𝑙 𝑌𝑌𝑗𝑗𝑗𝑗 = �̅�𝑣𝑗𝑗𝑗𝑗𝑋𝑋∆ 𝑙𝑙𝑙𝑙 𝑋𝑋𝑗𝑗𝑗𝑗 +𝑉𝑉𝑗𝑗𝑗𝑗𝑌𝑌𝑗𝑗𝑗𝑗
�𝑤𝑤𝑗𝑗𝑗𝑗𝐾𝐾 ∆ 𝑙𝑙𝑙𝑙 𝐾𝐾𝑗𝑗𝑗𝑗 +𝑉𝑉𝑗𝑗𝑗𝑗𝑌𝑌𝑗𝑗𝑗𝑗
�𝑤𝑤𝑗𝑗𝑗𝑗𝐿𝐿∆ 𝑙𝑙𝑙𝑙 𝐿𝐿𝑗𝑗𝑗𝑗 +∆ 𝑙𝑙𝑙𝑙 𝐴𝐴𝑗𝑗𝑗𝑗𝑌𝑌 (3)
As can be seen in (3) the components from (2) have to be multiplied by the ratios between
GVA and GO at the industry j level. Moreover, they should be averages for two discrete
time periods t-1 and t, which are calculated by linear interpolation in a similar way as the
shares in the previous formulae (1) and (2).
14stat.gov.pl
Part II The adopted methodology
The contributions of production factors services from (3) should therefore be
further decomposed as following:
𝑉𝑉𝑗𝑗𝑗𝑗𝑌𝑌𝑗𝑗𝑗𝑗
�𝑤𝑤𝑗𝑗𝑗𝑗𝐾𝐾∆ 𝑙𝑙𝑙𝑙 𝐾𝐾𝑗𝑗𝑗𝑗 = 𝑉𝑉𝑗𝑗𝑗𝑗𝑌𝑌𝑗𝑗𝑗𝑗
�𝑤𝑤𝑗𝑗𝑗𝑗𝐾𝐾𝐾𝐾𝐾𝐾∆ 𝑙𝑙𝑙𝑙 𝐾𝐾𝐾𝐾𝐾𝐾𝑗𝑗𝑗𝑗 + 𝑉𝑉𝑗𝑗𝑗𝑗𝑌𝑌𝑗𝑗𝑗𝑗
�𝑤𝑤𝑗𝑗𝑗𝑗𝐾𝐾𝐾𝐾𝐾𝐾𝐾𝐾∆ 𝑙𝑙𝑙𝑙 𝐾𝐾𝐾𝐾𝐾𝐾𝐾𝐾𝑗𝑗𝑗𝑗 (4)
𝑉𝑉𝑗𝑗𝑗𝑗𝑌𝑌𝑗𝑗𝑗𝑗
�𝑤𝑤𝑗𝑗𝑗𝑗𝐿𝐿 ∆ 𝑙𝑙𝑙𝑙 𝐿𝐿𝑗𝑗𝑗𝑗 = 𝑉𝑉𝑗𝑗𝑗𝑗𝑌𝑌𝑗𝑗𝑗𝑗
�𝑤𝑤𝑗𝑗𝑗𝑗𝐿𝐿∆ 𝑙𝑙𝑙𝑙 𝐻𝐻𝑗𝑗𝑗𝑗 + 𝑉𝑉𝑗𝑗𝑗𝑗𝑌𝑌𝑗𝑗𝑗𝑗
�𝑤𝑤𝑗𝑗𝑗𝑗𝐿𝐿∆ 𝑙𝑙𝑙𝑙 𝐿𝐿𝐿𝐿𝑗𝑗𝑗𝑗 (5)
15stat.gov.pl
Part II The adopted methodology
The contribution of gross-output-based MFP from (1) and (3) can be made comparable to
the contribution of gross-value-added-based MFP from formula (2), if it is multiplied by the
inverse ratio between GVA and GO at industry j level taken from formula (3):
∆ 𝑙𝑙𝑙𝑙 𝐴𝐴𝑗𝑗𝑗𝑗𝑉𝑉∗ =𝑌𝑌𝑗𝑗𝑗𝑗𝑉𝑉𝑗𝑗𝑗𝑗
∆ 𝑙𝑙𝑙𝑙 𝐴𝐴𝑗𝑗𝑗𝑗𝑌𝑌 (6)
16stat.gov.pl
Part II The adopted methodology
∆ 𝑙𝑙𝑙𝑙 𝐴𝐴𝑗𝑗𝑗𝑗𝑉𝑉∗ = 𝑌𝑌𝑗𝑗𝑗𝑗𝑉𝑉𝑗𝑗𝑗𝑗
∆ 𝑙𝑙𝑙𝑙 𝐴𝐴𝑗𝑗𝑗𝑗𝑌𝑌 (6)
The asterisk indicates that the value from the left-hand side of (6) is derived from
the gross-output-based MFP, that can be equal to gross-value-added-based MFP,
on the condition that there is no substitution between the production factors
services and intermediate consumption:
∆ 𝑙𝑙𝑙𝑙 𝐴𝐴𝑗𝑗𝑗𝑗𝑉𝑉∗ ≈ ∆ 𝑙𝑙𝑙𝑙 𝐴𝐴𝑗𝑗𝑗𝑗𝑉𝑉 (7)
17stat.gov.pl
Part II The adopted methodology
If it is not so, then the phenomenon of substitution between primary production
factors and the intermediate consumption is to be considered as substantial!
19stat.gov.pl
Having calculated MFP both ways we can now make the comparison and try to interpret the difference
Part III Discussion of the results
20stat.gov.pl
Part III Discussion of the results
-2
-1
0
1
2
3
4
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
MFP contribution to GO growth adjusted to GVA growthagainst MFP contribution to GVA growth straightforward
MFP contribution to GO growth adjustedto GVA growth
MFP contribution to GVA growthstraightforward
21stat.gov.pl
Part III Discussion of the results
-2
-1
0
1
2
3
4
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
MFP contribution to GO growth adjusted to GVA growthagainst MFP contribution to GVA growth straightforward
MFP contribution to GO growth adjustedto GVA growth
MFP contribution to GVA growthstraightforward
After 2011 changes related to factor substitution by intermediate inputs have ceased
22stat.gov.pl
Part III Discussion of the results
-2
-1
0
1
2
3
4
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
MFP contribution to GO growth adjusted to GVA growthagainst MFP contribution to GVA growth straightforward
MFP contribution to GO growth adjustedto GVA growth
MFP contribution to GVA growthstraightforward
…i.e. outsourcing growth (and additionallychanges in some capital being treated as intermediate consumption) has ceased
23stat.gov.pl
Part III Discussion of the results
-2
-1
0
1
2
3
4
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
MFP contribution to GO growth adjusted to GVA growthagainst MFP contribution to GVA growth straightforward
MFP contribution to GO growth adjustedto GVA growth
MFP contribution to GVA growthstraightforward
During the onslaught of the financial crisis thischanges were also temporarily contained
24stat.gov.pl
A sectoral analysis can be also performed in order to establishwhere in the economy these changes mostly take place!
Part III Discussion of the results
25stat.gov.pl
Part III Discussion of the results
-5
0
5
10
15
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section C
-20
-10
0
10
20
30
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section A MFP contribution to GO growth adjusted to GVA growthMFP contribution to GVA growth straightforward
-20
-15
-10
-5
0
5
10
15
20
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section B
-15
-10
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE sections DE
26stat.gov.pl
Part III Discussion of the results
-5
0
5
10
15
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section C
-20
-10
0
10
20
30
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section A MFP contribution to GO growth adjusted to GVA growthMFP contribution to GVA growth straightforward
-20
-15
-10
-5
0
5
10
15
20
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section B
-15
-10
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE sections DE
It is the manufacturing that contributes the most to the observed phenomenon of substitution
27stat.gov.pl
Part III Discussion of the results
-5
0
5
10
15
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section C
-20
-10
0
10
20
30
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section A MFP contribution to GO growth adjusted to GVA growthMFP contribution to GVA growth straightforward
-20
-15
-10
-5
0
5
10
15
20
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section B
-15
-10
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE sections DE
This is because it accounts for about a quarter of the Polish economy and also because the vertical axis is steep
28stat.gov.pl
Part III Discussion of the results
-15
-10
-5
0
5
10
15
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section F
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section G
-10
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section H
-10
-5
0
5
10
15
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section I
29stat.gov.pl
Part III Discussion of the results
-5
0
5
10
15
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section J
-15
-10
-5
0
5
10
15
20
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
ppNACE section K
-15
-10
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section L
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE sections M-N One important feature is that in the ICT industriesthese changes seam to speed up
30stat.gov.pl
Part III Discussion of the results
-5
0
5
10
15
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section J
-15
-10
-5
0
5
10
15
20
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
ppNACE section K
-15
-10
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section L
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE sections M-N … but because this NACE section is of much lower weight in the economy in comparison with manufacturing this is not
conspicuous at the aggregate level
31stat.gov.pl
Part III Discussion of the results
-5
0
5
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section O
-10
-5
0
5
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section P
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE section Q
-10
-5
0
5
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
pp NACE sections R-S
32stat.gov.pl
Access to data: https://stat.gov.pl/en/experimental-statistics/klems-economic-productivity-accounts