Session Number: 1
Session Title: Factor Productivity and Technological Change
Paper Number: 2
Session Organizer: Barbara Kondrat and Derek Blades
Discussant: Derek Blades
Paper
prepared for the 26th General Conference of
The International Association for Research in Income and Wealth
Cracow, Poland, 27 August to 2 September 2000
LABOUR AND
CAPITAL PRODUCTIVITY IN POLAND
Leszek Zienkowski
For additional information please contact:
Author Name(s) Leszek Zienkowski
Author Address(es) 03-943 Warsaw, Szczuczyńska 11 ap 12
Author E-Mail(s) ZBSESEK@stat.gov.pl
Author FAX(es) (22) 617 88 84
Author Telephone(s) (22) 617 88 64
This paper is placed on the
following websites: www.stat.gov.pl
www.econ.nyu.edu/dept/iariw
Leszek Zienkowski
Labour and capital productivity in Poland
Nevertheless the gap in labour productivity narrowed in the last 15 years. Roughly speaking (the result of ICP comparisons – which have been the base for estimates – should be treated as rough approximation) the average labour productivity in EU was about 3 times higher than in Poland in 1985 and about 2,5 higher in 1998 (see graph 1). The difference in labour productivity between Poland and EU was lowered especially in the middle of nineties. It was the time when first results of economic reforms known as “Balcerowicz program” started to be visible. It should be noted that the increase in labour productivity was to large extend due to the partial elimination of hidden unemployment in enterprise sector and due to changes in the economic institutions.
Part I. Productivity by sections (1985 – 1998)
Since statistical data relating to the stock of capital, especially capital at constant prices, are of relative low reliability (this is true not only for the period 1985 – 1992) we concentrate analysis on labour productivity and total factor productivity (the results of the estimates of gross capital productivity are also presented in tables and graphs). Total factor productivity was estimated as the ratio of an index of GDP/gross value added to the indexes of labour and of capital with weights equal to their average participation in value added (0,6 and 0,4 respectively) in the period 1992 – 1998. There is no information for 1985 – 1991 of those shares according to NACE but even if such data were available they should not be – in my opinion – used for analysis. The share of labour and of capital in value added resulted in those years from administratively regulated prices which did not show economically meaningful relations. One can question from that point of view even 1992 prices but they were already near to market clearing prices.
As far as Poland is concerned there are also certain doubts if meaningful calculation of the level and of changes in time of labour productivity in agriculture can be made. First, it is difficult to estimate the level of employment in agriculture since a number of persons work both in agriculture and outside agriculture. The results of estimates overcoming this problem are of low reliability. Second, the level of hidden unemployment in this section is so high and persistent that the results of the estimates of changes in labour productivity in agriculture should be interpreted in the different way than in other sections of the economy (it should be however noted that hidden unemployment is present also in non-agricultural sections of the economy).
Finally we have decided to show in this paper the results of the estimates (indices of real change in time) of labour productivity, productivity of capital and total factor productivity for the following categories of production:
Part II. Productivity by branches in manufacturing (1991 – 1998)
In this part of
the paper I should like to present the results of studies the aim of which was
to find an answer to the question “Why the growth rates of productivity differ
between branches of manufacturing industry?”. Productivity was defined in
these studies as the ratio of the value of sales (output) to employment (labour
productivity) and to the inputs of production factors (labour and capital =
total factor productivity). In the latter case a very simplified solution was
chosen and the same ratio of labour to capital (weights) was used for all
branches. Data for the years 1991 – 1998 were compiled according to NACE (23
branches) and expressed (sales, capital stock) at constant 1992 prices.
The period for which calculation was performed is the period of economic growth
after first years of recession connected with economic and political
transformation. From 1992 onwards manufacturing production started to grow. The
average growth rate of manufacturing output in the period 1992 – 1998 was
equal to ca 9.8%.
The average growth rate of labour productivity in manufacturing – measured
according to the above mentioned definition – was equal in this period to ca
10.7%, ranging from 37% to 4.4% depending on a branch, while total factor
productivity was increasing at the rate of 8.6% ranging from 32% to –0.5%
depending on a branch.
As in the first part of this paper the period 1992 – 1998 can be divided into
two subperiods: 1992 – 1994 and 1995 – 1998. The growth rates of
productivity were distinctly higher in the first subperiod than in the second
one.
Manufacturing: growth rates |
||
1992 – 1994 |
1995 – 1998 |
|
Labour productivity |
13.2 |
8.9 |
Total labour productivity |
9.8 |
7.7 |
We tried to verify the following hypotheses relating to the factors, which determine the differences between growth rates of productivity of different branches of manufacturing:
Table. Correlation coefficients
Growth Factors |
Growth
rates of |
Growth
rates of total |
||||
1992-1998 |
1992-1994 |
1995-1998 |
1992-1998 |
1992-1994 |
1995-1998 |
|
1)
growth rates of the ratio capital/employment |
0.184 |
0.446 |
-0.179 |
-0.091 |
-0.163 |
-0.427 |
2) scale of moder-nisation of capital |
0.199 |
-0.011 |
0.283 |
0.192 |
-0.040 |
0.250 |
3) scale of moder-nisation of machinery and equipment |
x |
x |
0.25 |
x |
x |
0.23 |
4) share of private sector |
0.267 |
0.168 |
0.374 |
0.403 |
0.282 |
0.496 |
5) growth rates of employment |
-0.606 |
-0.829 |
-0.051 |
-0.497 |
-0.761 |
0.102 |
6a) ratio of R+D to capital stock |
x |
x |
0.74 |
x |
x |
0.69 |
6b) ratio of R+D to employment |
x |
x |
0.601 |
x |
x |
0.484 |
Nevertheless some tentative conclusions can be drown from the results of calculation.
·
Differences in the growth rates of productivity between branches of manufacturing industry can not be explained satisfactorily by the factors, which we expected could give answer to our question. One can only speculate that factors which were responsible for interbranch differences in growth rates of productivity relate to technological change not connected with the modernisation of capital (mainly machinery) but to the interbranch differences in entrepreneurship and in abilities to absorb imported know-how and new technologies. The profile of managers by branches could perhaps help in finding an answer.Part III. Total labour productivity 1992 - 1999
In this part of the paper I should like to present the result of the calculations of the growth of total labour productivity in the period 1993 – 1999 (taking 1992 as a base = 100,0). By total labour productivity we understand the ratio of the value of final demand for domestically produced commodities by divisions to the total (direct and indirect) labour inputs by divisions. For the calculations of labour productivity input/output tables 1992 and 1999 were used. To be more precise, following the approach of O. de Juan and E. Febrero total labour productivity for Poland, 1992 and 1999 has been computed as follows:
,
where: P j - direct labour productivity,
qj - gross output,
lj - direct labour coefficient
j - index of industry
where: l*= [l1*, …, ln*] – vector of total labour productivity by industry,
l= [l1, …, ln] - vector of direct labour productivity by industry,
(I – A)-1 - Leontief inverse matrix.
where: P j* - total labour productivity by industry.
Direct labour productivity has been computed as a ratio of gross output (in basic prices) and employment (as of end of the year). PPI price indices 1999/1992 have been used to convert 1992 output into 1999 prices.
Input-output matrices 1992 and 1999 have been used which were taken from the following sources:
Input-output matrix 1992 – i/o matrix, as published by the Central Statistical Office (GUS) was adjusted by: (i) aggregation to the format consistent aggregation level of 1999 i/o matrix, (ii) import matrix has been estimated and subtracted from the original GUS matrix,
Input-output matrix 1999 – i/o matrix 1995, published by the Central Statistical Office has been projected to 1999 using partial information on output, value added, exports, imports, investment and consumption, and adjusted by: (i) aggregation to the format consistent aggregation level of 1992 i/o matrix, (ii) import matrix has been estimated and subtracted from the projected matrix.
The results are presented in the table on page … in which direct and total labour productivity indices are presented. It may be seen that in majority of divisions the ratio of the total to direct labour productivity decreased in 1999 in comparison with 1992 and indices 1999/1992 of direct labour productivity were higher than indices of total labour productivity. That is probably mainly the result of the growing role of imported inputs in the Polish economy. By the way this may be an argument against the use for analysis of direct labour productivity (ratio of gross output to direct labour input). However it may be noted that the relative differences between divisions do not change dramatically if we use input-output coefficients productivity from 1992 table instead of the coefficients from 1999 when calculating total labour productivity.
To analyse the impact of structural change, measured by input-output coefficients, on pattern of total labour productivity evolution the following additional computations have been performed:
where: l**= [l1*, …, ln*] – vector of hypothetical total labour productivity by industry,
l99= [l1, …, ln] - vector of direct labour productivity by industry, as of 1999
(I – A)92-1 - Leontief inverse matrix, as of 1992
where: P j** - hypothetical total labour productivity by industry.
In such a way we calculated the impact of the changes in the input/output coefficients (domestic inputs) on the total labour productivity. It has occurred that those changes played different role in different divisions and only slightly positive role for manufacturing as a whole (average index 241 and 237 respectively). The results of these calculation are presented in the last two columns of the table.