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Inter-Regional analysis of Employment Pattern of rural
labourers in Punjab |
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Paper Id :
19318 Submission Date :
2024-10-04 Acceptance Date :
2024-10-16 Publication Date :
2024-10-19
This is an open-access research paper/article distributed under the terms of the Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. DOI:10.5281/zenodo.13968769 For verification of this paper, please visit on
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Abstract |
An attempt has been made in this paper to analyse the
employment pattern of labourers in rural Punjab. 530 rural labour households
have been selected from 22 villages for the survey. The study found that the
low productivity region has more contract labourers and the medium productivity
region has more casual labourers. The proportion of females in rural labour
employment is very low. The participation of females is more in casual
employment. The highest proportion of rural labourers belongs to the age group
of 30-45 years in all three productivity regions. The education level of
sampled rural labourers is very low. The number of days of employment and
average daily wage rate of the rural labourer is higher in the medium and high
productivity regions. |
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Keywords | Rural Labourers, Regions, Employment, Contract, Casual, Wage Rate. | ||||||
Introduction | Employment is considered to be a key link between growth and poverty alleviation. As low income is an important reason for poverty, and productive employment is a key determinant of income, one way of defining pro-poor growth is in terms of the employment outcome of growth. It is argued that decent and productive employment is one of the best routes to get out of poverty. High rates of economic growth achieved through outward-oriented policies resulted in high rates of employment growth and thus contributed to poverty reduction (Islam, 2003). The agricultural sector continues to be the largest employer of the rural workforce in India (Venkatesh, 2013). But the agricultural sector cannot create additional opportunities for gainful employment for the increasing population and the agricultural sector alone cannot provide the ultimate solution for rural poverty, unemployment and underemployment. The growth of employment in recent decades is more in the form of rural non-farm employment in India (Reddy et al., 2014). |
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Objective of study | The main
objectives of the paper are:
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Review of Literature | Punjab has made tremendous progress in the production of food grains after the adoption of new agricultural technology. The agricultural development in Punjab has been accompanied by an increase in employment in agriculture up to the early eighties. However, after the mid-1980s, more mechanization and increasing use of labour-substituting inputs like weedicides and herbicides caused substantial displacement of labour in agriculture (Rangi and Sidhu, 2004). The agricultural sector is not capable of creating additional opportunities for gainful employment for the increasing population. During the late 1990s, the agricultural sector in Punjab witnessed a significant slowdown which further decreased the employment-absorbing capacity of this sector (Sidhu, 2002). The absolute number of cultivators is declining with a corresponding increase in the number of agricultural labourers (Motkuri et al., 2019). Rural non-farm employment is considered to be very important in reducing poverty among the rural masses by providing additional employment opportunities in the rural areas. While the traditional sector absorbs most of the unskilled workers in rural areas, income is mainly concentrated in the sectors which require higher educational attainments, professional skills and greater access to credit (Coppard, 2001). It is also generally seen that most of the employment opportunities in the rural non-farm sector are casual in nature and more of the workers combine it with agricultural off-season. Therefore, in this paper, an effort has been made to analyse the employment pattern of labourers in rural Punjab and various latest studies are also discussed through out the paper. |
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Methodology |
The current study is based on primary data. For the purpose of data
collection, multi-stage stratified random sampling method have been used. |
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Sampling |
The sample design is a three- stage
stratified sample given as under:
The whole state has been divided into three regions for data collection based on agricultural productivity namely low, medium and high productivity regions. One district has been chosen from each region. The Mansa district from low productivity region, S.B.S. Nagar from medium productivity region and Ludhiana from high productivity region have been chosen. One village has been selected randomly from each development block of the selected districts. The Mansa district has five development blocks, the S.B.S. Nagar district has five, and the Ludhiana district has twelve. Thus, a total of twenty-two villages have been chosen from the three districts. From all of the rural labour households in the villages, one-tenth of the households had been randomly chosen for the survey. As a result, 530 rural labour households from 22 villages have been chosen. Out of 530 rural labour households, 163 from Mansa district, 175 from S.B.S. Nagar and 192 from Ludhiana district have been chosen. Out of 530 rural labour households, 229 households are agricultural labour households and 301 are non-agricultural labour households. |
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Statistics Used in the Study |
Simple averages and portion are used for analysis. |
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Result and Discussion |
Nature of Employment of Rural Labourers The composition of rural labourers according to their nature of employment has been reflected in Table 1. The distribution of the sampled rural labourers according to their employment status is not uniform across the three productivity regions. The low productivity region has more contract labourers and the medium productivity region has more casual labourers. The share of contract labourers in the total rural labour employment is the highest in the low productivity region followed by the high and medium productivity regions. Further, the proportion of casual labour employment is the highest in the medium productivity region i.e. 61.76 per cent. This proportion is 49.60 and 58.60 per cent, respectively for the low and high productivity regions. In the case of agricultural labour
households, the proportion of contract labourers is the highest in the
low-productivity region followed by the medium-productivity and
high-productivity regions. The share of casual labourers is the highest in the
high-productivity region. This proportion is 36.61 and 39.67 per cent,
respectively for the low and medium productivity regions. The non-agricultural
labour households have got more casual employment throughout the year. That’s why
the share of casual labourers is higher as compared to contract labourers in
the case of non-agricultural labour households. The share of casual labourers
in the low, medium and high productivity regions is 69.13, 71.08 and 65.11 per
cent, respectively. The contract labourers have a very low proportion in all
three productivity regions. Their proportion ranges from 28.92 per cent in the
medium productivity region to 34.89 per cent in the high productivity region. The above analysis shows that as the
rural economy is moving from the traditional agricultural sector to the modern
industrial sector, the share of contract labourers in the total employment of
rural labourers is declining. The share of casual workers in non-farm
employment grew steadily. Mishra and Singh (2019) conclude that the
conversion of cultivators into casual labourers implies distress-driven
diversification. This is posing a very serious problem for their survival.
There is a need to develop some activities like cottage and small-scale industries,
road construction, rural development programmes etc. which provide throughout
the year employment to rural labourers. Gender-Wise Composition of Rural
Labourers The gender-wise composition of the
sampled rural labourers has been reflected in Table 2. The proportion of
females in rural labour employment is the highest in the high productivity
region as compared to other regions. It is 29.06 per cent in the high
productivity region as compared to 23.86 per cent in the low productivity
region and 22.79 per cent in the medium productivity region. In contract as
well as casual employment, the share of females is lower than that of the
males. The participation of females is more in casual employment as compared to
contract employment in all the three productivity regions. The share of female
labourers in casual labourers is 47.57, 33.33 and 44.21 per cent, respectively
in the low, medium and high productivity regions. While, the share of female
labourers in contract labourers is only 0.53, 5.77 and 7.60 per cent,
respectively in the low, medium and high productivity regions. For agricultural labour households,
the proportion of female labourers is the highest in the high productivity
region followed by the medium and low productivity regions. Female labourers
mostly engaged in casual employment. Only in the medium productivity region,
the share of females in contract labourers is 4.11 per cent. The share of males
in casual employment is less than females in all three productivity regions.
This is due to the reason that the work in the agricultural sector is seasonal
and requires no formal skills. So, more women can get jobs in the agricultural
sector on casual basis. The share of females in casual employment is the
maximum in the low productivity region and the lowest in the medium
productivity region. Whereas, the share of males in casual employment is only
25.61, 33.33 and 25.84 per cent, respectively in the low, medium and high
productivity regions. In the case of non-agricultural labour households, the
proportion of female employment ranges from 18.79 per cent in the low
productivity region to 22.98 per cent in the high productivity region. The
proportion of females in casual employment is the highest in the high
productivity region followed by the low and medium productivity regions. Hence, the above analysis shows that
the proportion of female employment in rural areas of Punjab is very less.
Further, the share of females in casual employment is more than the share of
females in contract employment. The agricultural sector is the only sector
where the share of females in casual employment is more than males. The
participation of rural women in the non-farm sector is very low. The active
participation of rural women in the non-farm sector can increase their income
which can ensure their family income and increase the standard of living (Islam
et al., 2022). Age-Wise Composition of Rural
Labourers Apart from gender composition, age
composition is also an important characteristic of rural labour employment. Any
sector with more persons in the relatively older age group, especially an age
group more than 45 years indicates the persistence of old and successful units
(Harris, 1987) while a greater proportion of the younger age group either
indicates that the units are relatively new and are on experimental stage or
that the sector is not much remunerative and hence people just use it as a
stepping stone and move out of it as soon as they get any other employment
opportunity outside this sector. Table 3 indicates that most of the rural
labourers belong to the younger age group in all three productivity regions.
Their proportion ranges from 45.34 per cent in the medium productivity region
to 51.57 per cent in the high productivity region for this age group. A very
small proportion of the rural labourers belong to the age group of 0-15 years
and above 60 years in the three regions. This shows that half of the sampled
rural labourers is from the younger age group in all the productivity regions.
The proportion of contract labourers for this age group is the highest in the
high productivity region and the lowest in the low productivity region. The
proportion of casual labourers for this age group ranges from 46.28 per cent in
the high productivity region to 52.97 per cent in the low productivity region.
The share of contract labourers is more than the casual labourers in the age
group of 15-30 years. Whereas, the share of casual labourers is more than
contract labourers in the age group of 45-60 years in the rural areas of
Punjab. For the agricultural labour
households, most of these labourers belong to the age group of 30-45 years in
all the three productivity regions. The proportion of agricultural labourers in
this age group is the highest in the high productivity region followed by the
low productivity and medium productivity regions. The proportion of contract
labourers for this age group ranges from 45.20 per cent in the medium
productivity region to 66.29 per cent in the high productivity region. The
share of casual labourers in this age group is the highest in the low
productivity region and the lowest in the high productivity region. In the case
of non-agricultural labour households, most of the labourers are from young age
group i.e. 30-45 years. The share of non-agricultural labourers in this age
group is the highest in the high productivity region followed by the medium
productivity and low productivity regions. The proportion of casual labourers
ranges from 43.79 per cent in the high productivity region to 48.54 per cent in
the low productivity region for this age group. More than 80 per cent of the
contract labourers are in the age group of 15-45 years in all the three
productivity regions. Distribution of Rural Labourers
According to the Level of Education The differences in household income of
rural labourers can mainly be explained by the differences in educational
attainments. In a rural economy, the persons with lower educational attainments
can find jobs as wage labour in low paid traditional activities. The formal and
more remunerative jobs are available to those who possess higher level of
education (Shylendra and Thomas, 1995). The distribution of rural labourer
according to the level of education has been presented in Table 4. The
proportion of the illiterate rural labourers is the highest in the medium
productivity region followed by the low productivity and high productivity
regions. Only in the high productivity region, 0.49 per cent of the rural
labourers have got education up to graduation level. The proportion of rural
labourers educated up to matric level ranges from 19.04 per cent in the low
productivity region to 23.73 per cent in the high productivity region. The high
productivity region is the most developed region and educational institutions
are highly developed in this region. The education level of the contract
labourers is higher than that of casual labourers in rural Punjab. The
proportion of illiterate labourers ranges from 14.10 per cent for contract
labourers to 31.35 per cent for casual labourers in the medium productivity
region. This may be due to the reason that the income of the contract labourers
is regular which helps their wards get more education as compared to casual labourers.
The proportion of casual and contract labourers who got education up to matric
level is the lowest in the low productivity region followed by the medium and
high productivity regions. For the agricultural labourer, the
proportion of illiterates is 26.45 per cent in the medium productivity region
and 24.55 per cent in the low productivity region. The proportion of
illiterates among contract labourers is more than casual labourers. Their
proportion ranges from 14.63 per cent in the low productivity region to 31.25
per cent in the medium productivity region for casual labourers. The share of
agricultural labourers educated up to matric level ranges from 18.75 per cent
in the low productivity region to 20.78 per cent in the high productivity
region. For the non-agricultural labour, the proportion of illiterates is the
highest in the medium productivity region followed by the low and high
productivity regions. The illiteracy among casual labourers is more than
contract labour. Slightly more than 6 per cent of contract labourers and 31.37
per cent of casual labourers are illiterate in the medium productivity region.
The proportion of non-agricultural labourers educated up to the matric level
ranges from 19.46 per cent in the low productivity region to 25.96 per cent in
the high productivity region. The education level of casual labourers is far
less than contract labourers. This proportion of labourers educated up to
matric level ranges from 12.62 per cent for the casual labourers in the low
productivity region to 36.58 per cent for the contract labourers in the high
productivity region. Hence, the above analysis shows that
the education level among rural labourers is very low. Very few rural labourers
can get an education above the matric level. The reason behind their low level
of education is low income and poverty. The education level of casual labourers
is very low as compared to contract labourers because the income of the
contract labourers is regular which helps them in getting more education as
compared to casual labourers. Days of Employment in a Year for Rural
Labourers It is well established that in the
rural economy of a less developed country, the labour market is dominated by
casual labour, time-related or piece-related employment with no assurance and
security of employment and the status of employment of a worker is
characterised not by zero employment but by large periods in the year when he
or she is unable to obtain any work. Moreover, the low number of days of
employment is responsible for irregular and low wage rates of rural labourers
which push the majority of hired labourers below even the official poverty
line. Here, in Table 5, we have tried to analyse the days of employment in a
year for rural labourers. However, the distribution of days of employment of
the rural labourers is not uniform across the three productivity regions. The
number of days of employment for rural contract and casual labourer are the
highest in the medium productivity region and the lowest in the low
productivity region. The number of days of employment is 341 and 159 days per
year, respectively for the contract and casual labourers in the high productivity
region. In the case of agricultural labour
households, the number of employment days of contract labourers is 320 days per
year in the medium and high productivity region and 313 days per year in the
low productivity region. The casual labourer gets employment for 99 days in the
medium productivity region, 95 days in the high productivity and 83 days in the
low productivity region. This is due to the reason that work on casual basis in
the agricultural sector is only available for 2 to 3 months per year for
agricultural labour. The non-agricultural contract labourer has received
employment throughout the year in all three productivity regions. The days of
employment for casual non-agricultural labourers is 196 days in the high
productivity region,186 days in the medium productivity and 173 days in the low
productivity region. In the high and medium productivity regions, the
industrial sector is more developed and more work is available for
non-agricultural labourers. While the low productivity region has a less
developed industrial sector and there is not much work in the non-agricultural
sector. Average Daily Wage Rate of Rural
Labourers The annual earnings of the rural
labourers depend on the number of days of employment and levels of wages. The
wage rate is also used as a proxy for studying poverty and the standard of
living of rural labourers. Higher wages represent the high standard of living
and lower wages are responsible for the poverty and malnutrition of the rural
labourers. Table 6 depicts the average daily wage rate of the rural labourers
in Punjab. The average daily wage rate of the sampled rural labourer is not
uniform across the three productivity regions. The average daily wage rate of
the rural labourers is the highest in the high productivity region followed by
the medium productivity and low productivity regions. This is because the high
productivity region has more non-agricultural labour households as compared to
agricultural labour households.
The average daily wage rate for the
contract rural labourer is the highest in the high productivity region followed
by the low and medium productivity regions. Whereas, this amount ranges from
Rs. 273 in the high productivity region to Rs. 284 to in the low productivity
region for the casual rural labourer. For agricultural labour households,
the average daily wage rate is the highest in the high productivity region and
the lowest in the low productivity region. The results depict that the pressure
of the labourers on the agricultural sector is more in the low productivity
region as compared to the high productivity region. This leads to lower wages
for the agricultural labourers in the low productivity region. The average
daily wage rate for the contract agricultural labourer is Rs. 173 in the high
productivity region followed by Rs. 167 in the medium productivity and Rs. 164
in the low productivity region. Whereas, the average daily wage rate ranges
from Rs. 281 in the high productivity region to Rs. 294 in the medium
productivity region for the casual agriculture labourers. In the case of
non-agricultural labour households, the average daily wage rate in the low,
medium and high productivity regions is Rs. 221, Rs. 226 and Rs. 228,
respectively. Further, the average daily wage rate for the contract
non-agricultural labourer is the highest in the high productivity region
followed by the medium and low productivity regions. Whereas, the average daily
wage rate ranges from Rs. 267 in the high productivity region to Rs. 280 to in
the low productivity region for the casual non-agricultural labourer. The analysis clearly shows that the
average daily wage rate for the non-agricultural labourers is more than the
agricultural labourers. This is because the labourers in the non-agricultural
sector are skilled and get more wages. The average daily wage rate of the
casual labourer is more than the contract labourer both for the agricultural
and non-agricultural labourers. |
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Conclusion |
The above analysis highlights that this distribution of rural labourers according to their employment status is not uniform across the three productivity regions. The low productivity region has more contract labourers and the medium productivity region has more casual labourers. The proportion of females in rural labour employment is very low. The participation of females is more in casual employment in all three productivity regions. The proportion of illiterate rural labourers is the highest in the medium productivity region followed by the low and high productivity regions. Only in the high productivity region, 0.49 per cent of the rural labourers have got education up to graduation level. The number of days of employment for rural contract and casual labourers are higher in the medium and high productivity regions. The average daily wage rate of the rural labourer is the highest in the high productivity region followed by the medium and low productivity regions. The daily wage rate for the non-agricultural labour households is more than the agricultural labour households. Suggestions It has been observed from the study that the number of days of employment of the contract labourers is more than the number of casual labourers. Therefore, there should be an emphasis on promoting higher and technical education in rural areas so that casual labourers should take self-employment opportunities. To increase the days of employment for agricultural labourers, the government should have restored measures like the initiation of multiple cropping and allied agricultural activities like dairying, poultry, fishery, bee-keeping etc. in the rural areas of Punjab. There should be a focus on the creation of more jobs in an organised sector where employment is characterised by social security along with income and employment security. There is a need for the strict implementation of the Minimum Wage Act to increase the income and standard of living of these rural labourers. To increase the daily wage of agricultural labourers, the government should try to reduce the pressure of the population on the agriculture sector by shifting them to the non-agricultural sector. Efforts should have been made to make the agricultural labourers skilled by providing them with basic and technical education. |
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References |
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