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Labour Productivity
As far as productivity is concerned, it is generally referred to labour productivity. This concept relates to the value added per worker. When compared with similar terminology, such as capacity, productivity is more concrete concept to measure the efficiency of economic activities. Hence this chapter presents some of the data to be reflected labour productivity in the Sri Lankan economy.

3.1 GDP Per Capita
GDP Per Capita is an indicator which is generally used to represent the wealth of a country in Sri Lanka it amounted LKR 41789.8 (in real terms) in year 1997 and went up to LKR 56130.69 in year 2006. The percentage increase is 34.3% .But at current market price it was LKR 50292.17 in year 1997 and increased by 180% up to LKR 140894.50 in year 2006.

Table - 3.1 Gross Domestic Product per Capita
(1997 -2006)
The difference reflects the increase in GDP deflator during the period. Except year 2001, it has increased over the years in both prices. GDP per capita of a country is measured in terms of US$ for international comparison. According to this criteria, GDP Per Capita has reached up to 1355.28 in year 2006, categorizing Sri Lanka as a middle (lower) income country. This in turn will affect in such a way that, Sri Lanka may not be entitle to obtain foreign founds as Grants and Aids. The controversial issue is such that though Sri Lanka is categorized as middle (lower) level income country, more than 40% of total population, in the country is covered by the Samurdi benefits which is largest poverty elevation program in the country.
Source - Own calculation of LMIU with the data from Central Bank Reports
3.2 Average Labour Productivity
The average labour productivity measures the efficiency of labour used for production . This has been calculated as such that real GDP is divided by the total working population. Hence this reflect the physical labour productivity. It does not explain the situation of economic labour productivity. However this indicator is widely used to oversee the trends of the labour productivity in a country.

The average labour productivity in the Sri Lankan economy has further increased in year 2006 with compared to the previous year both in local currency as well as in US$. However the level of productivity is not enough to enhance the quality of life of the people in the country.

As shown in the below table 2.8 there is a functional relationship between labour productivity growth ratio, employment rate growth ratio and GDP per capita growth ratio. That is,

Source - Own calculation of LMIU with
the data from Central Bank Reports
GDP per capita growth Ratio - Employment rate growth ratio = Productivity growth ratio
Hence, to increase the wealth of a country, labour productivity as well as employment rate has to be increased. However strategies and policies should be aimed to enhance productivity while providing the meaningful employment opportunities for the entire labour force in the country.

Table - 3.3 The Relationship Between Labour Productivity Growth, Employment Rate Growth & GDP per Capita Growth
( 1999 - 2006)
Figure - 3.1 GDP per Capita, Employment
Rate and Labour Productivity Growth
Ratios (1999-2006)
Source - Own calculation of LMIU with
the data from Central Bank Reports
Source - Own calculation of LMIU with
the data from Central Bank Reports
 
Table - 3.4 Sectoral Average Physical Labour Productivity (LKR) (1999 - 2006 )
Source - Own calculation of LMIU with the data from Central Bank Reports
As far as sectoral labour productivity is concerned, service sector dominates other two sectors. Labour productivity in service sector is more than double that of labour productivity in the agricultural sector. In terms of US$, sectoral average labour productivity has decreased from year 2000 to 2004 and then increased marginally in year 2005 and 2006 with compared to previous year.

Table - 3.5 Sectoral Average Physical Labour Productivity (US$) (2000 - 2006)
Source - Own calculation of LMIU with the data from Central Bank Reports

Labour productivity in agriculture sector is far behind the National Average. Since 18% of GDP is shared by the 32% of total employment, productivity in this sector should definitely be at lower level. Hence, policy and decision makers should have to play a key role to enhance productivity in this sector. Use of new technology, R & D, and reduction of post harvest lost will enhance the productivity in agricultural sector.

The data on table 3.4 and 3.5 defects the following important features in relation to sectoral labour productivity.

1) The highest average labour productivity in recent past was recorded for services sector following industrial sector in terms of LKR as well as US$.

2) Labour productivity in service as well as industrial sectors exceeds the national average of labour productivity.

3) Highest labour productivity was recorded for sub sectors such as Transport, Storage & Communication and Trade, Hotels & Restaurant.

4) Most of the sub-sectors, even sectors which record highest level of labour productivity, have
decreasing tendency of their labour productivity growth.

Table - 3.6 Sectoral Average Labour Productivity Growth (%) ( 1998 - 2006 )
Source - Own calculation of LMIU with the data from Central Bank Reports
In 1998, sectoral labour productivity growth in agriculture was -14.48 percent and in 2006 it has increased up to 5.12 percent. On the other hand labour productivity growth in industry has decreased from 13.57 percent in 1998 to 4.50 percent in 2006. Further it has fluctuated over the years. The services sector records as important sector which shows an upward trend in labour productivity in recent years. Within the services sector, labour productivity growth in financial services, Real Estate & Business services sector has increased tremendously over the years.

Table - 3.7 Sectoral Employment Growth (%) (1999 - 2006 )
Source - Own calculation of LMIU with the data from Central Bank Reports
Table - 2.8 Sectoral GDP Growth (%) ( 1999 - 2006 )
Source - Own calculation of LMIU with the data from Central Bank Reports

The simple functional relationship between labour productivity growth, GDP growth and the employment growth can be shown as follows.

Labour Productivity Growth = GDP growth – Employment Growth

The true need is to increase labour productivity without compromising employment opportunities. In other words, GDP must increase faster than increase in employment to increase Labour productivity. One can examines carefully and see how the above relationship experiences in the Sri Lankan economy. The table 2.6, 2.7 and 2.8 are examined simultaneously, number of facts can be observed.

  • Generally, employment growth is higher than GDP growth and leads to negative productivity growth.
  • In most of the sub sectors, productivity growth has increased due to negative growth in employment.
    Hence actions have to be taken to improve productivity in such sectors at least without comprising
    level of employment.
  • Financial Services, Real Estate and Business Service is the only sector that labour productivity
    continuous to increase over the time due to GDP increase faster than employment growth in this sector.
3.2 Labour Productivity ( Forecasted, 2007 - 2010)
The table 2.14 defects the forecasted labour productivity from year 2007 up to year 2010 for the Sri Lankan economy. The forecasted value for some sectors are not statistically significant. However it is significant for the sub sector of Manufacturing , Trade, Hotel & Restaurant and financial services, Real Estate & Business Services. Among these sectors Manufacturing and Trade, Hotels & Restaurant sectors show decreasing trendency of labour productivity while financial services, Real Estate & Business Services sector shows increasing trendancy. Hence, the policy makers and the institution engaging in productivity promotion activities must consider this situation and make appropriate policies and strategies to enhance productivity in those sectors.

Table - 2.9 Forecasted Labour Productivity ( 2007 - 2010 )
Source - Own calculation of LMIU with the data from Central Bank Reports
 
 
 
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