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Socio-Economic Conditions of Rural Labourers in Punjab | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Paper Id :
17673 Submission Date :
2023-05-15 Acceptance Date :
2023-05-21 Publication Date :
2023-05-25
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Abstract |
Agricultural and non-agricultural labourers are the most important components for the development of the rural economy in India. The present primary data based study aims to analyze employment generation in agricultural and non-agricultural sectors during 2018-19 in Punjab. The results of the study reveal that in Punjab, 83.33 per cent of the agricultural sector labourers and 80.8 per cent of the non-agricultural labour households belong to scheduled castes, 40.4 per cent rural labour households are working as contractual labour while 59.6 per cent rural labour households are working as casual labour; it is the major problem of rural labourers that they get work less than 30 days in a month. Almost 49.07 per cent of rural labour households are living in semi-pucca houses while 9.6 per cent of labourers are living in Katcha houses and 41.35 per cent of labour households are living in pucca houses. About 70.98 per cent of labour households are under debt. The study suggests that there should be some employment generation schemes and loan waiver plans, specifically for rural labour households to enable them to come out of the clutches of indebtedness and improve their level of living.
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Keywords | Labour Market, Rural Labour, Caste, Literacy, Economic Conditions, Indebtedness. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Introduction |
The labour market survey shows how many workers are employed in each sector, under some limitations. It represents how many workers are involved in the agricultural sector as well as in non-farm sector and the structural shift of agricultural workers to non-agricultural sectors (such as construction, retail trade, manufacturing and community or personal services) are depending on the season, an economic cycle and personal circumstances (Woetzel et al.,2017)
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Objective of study | The objectives of the present study are as follows:
1. To analyse the socio-economic profile of agricultural and non-agricultural labourers.
2. To examine the extent of the employment in agricultural and non-agricultural sectors in rural Punjab. |
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Review of Literature | Indian labour
markets are characterized by segmentations that are based on socio-political
institutions such as gender, caste and religious groups. There is the existence
of segmentation across regions, types of contractual arrangements such as
formal and informal and different types of workers such as migrant and
non-migrant workers. As a result due to segmentation in labour markets, there
is a strong correlation between employment hierarchy and hierarchies based on
caste and gender groups (Roy and Bose, 2021). After Indian
independence, there has been drastic changes in relations between the landless
agricultural labourers and the landowning employer farmers. These major changes
have been occurring in that area where green revolutions had become successful.
It has been reported that in South Gujarat, the traditional dependency and
bondage relations were undergoing a fundamental change (Jodhka, 1994). During
the post-independence period (2004-05 to 2009-10) in economic history, around
23.7 million of India’s agricultural workforce has abandoned agriculture which
is nearly 10 per cent of the total workforce in the agricultural sector, while
the non-agricultural employment has grown by 25 million. In the years 2009-10
and 2011-12, non-agricultural employment increased sharply by 27 million while
agricultural employment fell by 13 million (Mehrotra et al, 2014).
The Indian
agricultural economy adopted an agricultural model in the 1960s. There was
tremendous progress in food grains production after the adoption of this model
and it has achieved self-sufficiency in food grains. The share of the
agricultural sector in GSDP has continuously been decreasing but still, the
agricultural sector plays a dominant role in employing a large proportion of
the working population. Since independence, the State has conducted various
surveys to understand the problems of agricultural labourers. Majority of the
agricultural labourers belonged to Scheduled Castes and have the lowest share
in national income. They are backward, illiterate and heavily indebted, belong
to depressed classes and face a paucity of non-agricultural occupations in
villages and get seasonal employment in agricultural sector (Singh, 2015). |
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Methodology | The present study is basically based on primary data. The multistage sampling technique has been used to select the sample. At the first stage of sampling, three districts, namely Bathinda, Jalandhar and Tarn Taran, have been selected based on the high, medium and lowest proportions of agricultural and non-agricultural labourers among Majha, Malwa and Doaba regions in rural Punjab respectively. In the second stage of sampling, two villages have been selected randomly from each district based on the level of development. In the final stage of sampling, the labour households have been selected; those are involved in agricultural and non-agricultural sectors. Thus, a total of 6 villages are selected. Finally, a sample of 648 agricultural and non-agricultural labour households has been selected. The sample of 308 respondents, 65 and 275 labour households from Bathinda, Jalandhar and Tarn Taran districts has been surveyed. |
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Tools Used | Field Survey, 2018-19 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Result and Discussion |
The current
situation of developing nations has changed and is rapidly moving from a poor
economy to a developed economy with the development of social conditions. But
these changes are not equal in all the regions. Rural areas are less developed
as compared to urban areas in terms of social, cultural and economic aspects.
The lifestyles of rural people are widely dependent on their economic status.
Therefore, socio-economic characteristics are important tools for the measures
of human development (Islam, 2014). In this
context, the present paper is an attempt to analyze the demographic and
socio-economic status of agricultural and non-agricultural labour households in
rural areas in Punjab. Age, gender,
religion and caste are important indicators that largely influence an
individual’s role in the society. The sector-wise distribution of agricultural
and non-agricultural rural labour households is presented in Table 1. In
Bathinda district, 48.4 per cent of labour households have been involved in the
agricultural sector and 47.1 per cent of rural labourers are involved in the
non-agricultural sector. Similarly in Jalandhar district, only 5.7 per cent of
rural labourers are involved in agricultural and 11.8 per cent of labour
households are engaged in non-agricultural sectors. The proportion of rural
labourers in the agricultural sector in Tarn Taran district is 45.8 per cent
and 41 per cent in non-agricultural sector. The age, gender and caste-wise
distribution of rural labour is presented in Table 2. In the age group of 15-30
years, only 17.7 per cent of rural labour households are working in the
selected districts. 44.8 per cent of rural labour households belong to the age
group of 31-45 years and 37.5 per cent of rural labour households belong to the
age group of 46-60 years. Table 2 presents the gender-wise composition of rural
labour households. 95.4 per cent of labourers are male and only 4.6 per cent
are female labourers involved in agricultural and non-agricultural sectors in
the selected districts. The caste-wise analysis shows that 81.5 per cent of
rural labourers belongs to the scheduled castes, 9.7 per cent of rural
labourers belong to the backward classes and 8.8 per cent rural labour
households are belonging to the general category. Table 1. Distribution of Labourers in Agricultural and Non-agricultural Sectors in Rural Punjab (Number)
Source: Field Survey, 2018-19 Note: Figures
in brackets are percentages Table 2. Age, Gender and Caste-wise Distribution of Rural Labourer in Selected Districts (Number)
Source: Field
Survey, 2018-19 Note: Figures
in brackets are percentages Education is
the most important factor for social, economic and political transformation. An
educated person is considered more skillful. So, education and skill are
directly related to each other. In the year 1991, the overall literacy rate was
above 52.2 per cent in India, which increased to 64.8 per cent in 2001 and then
to 74 per cent in 2011 (Tiwana et.al, 2017). Table 3 shows the level of
education of rural labourers in the selected districts. It is clear from the
table that 29.9 per cent agricultural and non-agricultural rural labourers are
illiterate, whereas 15.6, 14, 22.1, 13, 4.5 and 0.9 per cent rural labourers
has education up to primary, middle, matric, secondary, graduation and
post-graduation level respectively. There are very few labour households who
are graduates and post-graduates. The percentage share of illiterate persons in
Bathinda district is the highest (42.5 per cent) followed by Jalandhar (20.0
per cent) and lowest (18.2 per cent) in Tarn Taran district. This analysis
reveals the fact that due to their low income and poverty, the children
belonging to poor families obtain only formal education up to middle and matric
levels. The family size, family type and marital status of rural
labourers is presented in Table 4. The result clearly shows that the majority
of rural labour households’ families are nuclear (80.9 per cent) while only
19.1 per cent of rural labour households are living in joint families.
Moreover, the average family size of the majority of the rural labour
households is 4-6 members (67.0 per cent) and only 14.0 per cent average size
of family members is above 6 members. The marital status of sampled rural
labour households shows that 93.5 per cent labourers are married, 2.9 per cent
rural labourers are unmarried and 3.5 per cent rural labouers are
widows/widowers. Table 3. Distribution of Rural Labourers based on Education (Number)
Source: Field
Survey, 2018-19 Note: Figures
in brackets are percentages Table 4. Types of Family of Rural Labourers in the
Selected Districts (Number)
Source: Field Survey, 2018-19 Note: Figures
in brackets are percentages Working
location distance from the residence of rural labourers and modes of travelling
are the most important determinant that influence the socio-economic conditions
of rural labourers in Punjab. The majority of rural labour households (92.3 per
cent) are going for work in agricultural and non-agricultural sectors up to the
distance of 5 km while 5.1 per cent of rural labour households are going for
work up to the distance of 6 to 10 km and 2.6 per cent of rural labourers are
travelling above 10 km of distance for work. Further 81.3 per cent labourers
are going on foot whereas 5.9, 7.3 and 5.6 rural labourers are commuting by
bicycle/bike, bus and autorickshaw respectively in the selected district of
Punjab (Table 5). The nature of work and working days of rural labourers are
presented in Table 6. It is clear that 7.3 per cent rural labourers get work only
for 15 days whereas 32.7, 19.6 and 40.4 per cent rural labourers get work for
16-20, 21-25 and 26-30 days respectively. Further 40.4 per cent of rural
labourers are working as contractual labour while 59.6 per cent labour
households from the selected sample are working as casual labour. Therefore, it
is the major problem in rural areas that the rural labourers get work less than
30 days and more so as casual labour. Table 5. Location Distance from Residence and Modes of Travelling of Rural Labourers (Number)
Source: Field Survey, 2018-19 Note: Figures in brackets are percentages Table 6. Nature of Work and Days of Work in Month in regard to Rural Labourers (Number)
Source: Field
Survey, 2018-19 Note: Figures
in brackets are percentages Loan borrowing
of rural labourers also presents in their socio-economic conditions. Table 7
presents that 29 per cent of sampled rural labour households are not borrowing
loans whereas 58.5 per cent of rural labour households are borrowing loans of
amount less than Rs.25000, 8.2, 2.3 and 2.0 per cent labourers are getting
loans Rs. 25000-50000, Rs. 50000-100000 and above Rs. 100000 respectively.
Majority of rural labourers have taken loans for unproductive purposes such as
marriage functions, construction of houses and medical treatment etc. Moreover,
they have taken loans from non-institutional sources at high-interest rates. Table 7. Loan Borrowing by Rural Labourers in Selected Districts (Number)
Source: Field Survey, 2018-19 Note: Figures
in brackets are percentages Table 8.Housing Conditions of Rural Labourers (Number)
Source:
Field Survey, 2018-19 Note:
Figures in brackets are percentages
The housing conditions
of rural labourers are relating to types of houses, source of water and toilet
facilities that are used by rural labourers in Punjab. The labourers have three
types of sources of drinking water such as hand pumps, water taps and
submersible pumps. The proportion of rural labourers who have a hand pump in
their houses is 2.31 per cent while 89.97 per cent and 7.72 per cent labourers
use water taps and submersible pumps respectively in the selected districts of
Punjab. 93.06 per cent rural labourers have toilet facility in their houses
whereas 6.94 per cent rural labourers do not have toilet facility in their
houses. 9.6 per cent rural labourers are living in Katcha houses, 49.07 per
cent labour households were living in semi-pucca houses and 41.35 per cent
labour households are living in pucca houses. |
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Conclusion |
Aiming to explore about the socio-economic conditions of agricultural and non-agricultural labourers in Punjab, the study has shown that the majority of labour households belong to scheduled castes which are already economically and socially backward. Though all labour households are living in their own houses but the housing conditions are poor; only 41.35 per cent of rural labourers are living in pucca houses whereas 21.89 per cent are agricultural labourers and 4.39 per cent of non-agricultural labourers are living in katcha houses. Only basic amenities are available to the households, however luxury amenities are totally absent in their houses. The proportion of rural labourers who are in debt is 70.98 per cent. This is one of the several reasons for their economic as well as social backwardness. Therefore, the government should undertake the issue of upliftment of this deprived lot as the top priority. There is a need for some schemes and policies for employment generation and plans for loan borrowers, specifically for very poor rural labourers so that they can come out of the clutches of indebtedness. There is a need for improvement in the level of living of agricultural and non-agricultural labourers in Punjab and for this serious efforts and policy initiative are required from the side of government.
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