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www.tjprc.org [email protected]
WELFARE SCHEMES AND SOCIAL SECURITY MEASURES IN UNORGANIZED
SECTORS: WITH REFERENCE TO GUNTUR DISTRICT IN ANDHRA PRADESH
Dr. SHAIK MASTAN VALI
Associate Professor and Head of the Dept., Dept. of Business Administration in Malla Reddy Engineering College and Management Sciences, Kistapur (v),Medchal (M) Hyderabad, Telangana, India
ABSTRACT
The main aim of this statement is to scrutinize for Workers wellbeing Schemes and Societal safety
Procedures and Issues and Challenges in unorganized sectors in Guntur District with reference to the State
of Andhra Pradesh. To achieve important findings for the research work at unorganized sectors concerning
the Guntur District was used as a study for the research work. For this purpose, the primary source of data
was collected through the use of Standard Procedure questionnaires and personal interview, the
questionnaire was structured as the major source of data collection for this study. For research question
which was formulated were duly analysed and frequencies and percentages formulas were used to analyse
the data. It is observed that most of the unorganized sector workers did not getting the proper welfare
schemes and social security measures and also, they are facing multiple issues and challenges at their work
places, due to lack of awareness about the unorganized sectors and Central and State government Schemes,
policies and Regulations. If they can provide with adequate welfare and incentives package that make
employee work enjoying.
KEYWORDS: Welfares Schemes, Social Security Measures, Unorganized Sectors & Guntur District
Received: Dec 14, 2020; Accepted: Jan 04, 2021; Published: Jan 25, 2021 Paper Id.: IJBMRDEC20202
INTRODUCTION
In India Post – Independence the unorganized workers have increased many folds. About Fifty-Two percentage of
unorganized workers are working in the agriculture and other related sectors and they create over ninety
percentage labour force. These Sector workers also subsidize fifty percentage to GDP affording to the NCEUS. It
is also observed in unorganized sectors in India, i.e., the basic needs for them are quite different from one
category to another category, similarly, from one area to another area. Welfare and Social Security is the method
via way of means of which society presents its employees their fundamental desires of food, fitness care, toddler
care, maternity care, vintage age support, housing and different regionally described desires.
Between March to June 2020 - India Lockdown, Most Affected Is Unorganized Division; it's 93% of the
full Labour force, forty-one large integer individuals Lack Economic Refuge. This unorganized segment features a
hand in successively the country’s economy, nevertheless there's no real provision to safeguard it. The entire
country has come back to a standstill thanks to the Coronavirus epidemic additionally referred to as covid-19. The
Central Government has free the Prime Minister’s Poor Welfare Package of Rs 1.70 large integer crore. On the
opposite hand, painful pictures of migrating staff are coming back from everywhere the country. These people are
Orig
ina
l Article
International Journal of Business
Management & Research (IJBMR)
ISSN (P): 2249-6920; ISSN (E): 2249-8036
Vol. 10, Issue 6, Dec 2020, 21-32
© TJPRC Pvt. Ltd.
22 Dr. Shaik Mastan Vali
Impact Factor (JCC): 8.9193 NAAS Rating: 3.43
returning to their homes by walking more than 5 hundred km. initial Corona, then hunger, and currently the worry of the
police. Once healthy, Corona has had a control on the unorganized sector of the country. These are those that work either
on contract or they're labourers, who feed their families with daily wages. The govt. isn't even tuned in to however huge
this unorganized sector is. By the definition of "Ministry of Labour and Employment", an unorganized department means a
company owned by an individual or self-employed person who is engaged in the production or sale of goods or the
provision of services of any kind. If you are hiring workers, the number of such workers is less than
10.“UnorganizedWorkers” (UW) means home workers, self-employed workers, or wage workers in unorganized sectors,
including workers in organized sectors. Acts listed in Schedule II of the 2008UnorganizedWorkers' Social Act.
Organization of Unorganized Work forces Affording to data from the Ministry of Labour(2008), unorganized
workforce is divided by 4 categories: 1) by profession, 2) employment characteristics, 3) facility categories, and 4) special
groups.
NEED FOR THE STUDY: Sectors that have recognized the importance of welfare and social safety procedures have
introduced many welfare structures for their employees and families, forexample, the firm offers official social services
such as drinking water, nursing, medical equipment, canteen, rest areas, kindergartens, and soon. It also provides a variety
of illegal social services such as medical, educational, recreational, housing/accommodation, etc. It also provides societal
safety procedures such as provident fund, grant, pension, dependent hire, etc. In the social and societal safety procedures
providing by the firm, its employees have always been engaged with the commitment and promise. As a result, the
company's performance is highly admirable. The level of implementation of changes in rules relating to informal
personnel and public safety procedures.
SCOPE OF THE STUDY: This study is an attempt to investigate various aspects of the workers' welfare system and
societal safety procedures in the non-organized sector, referring to the Guntur district, Andhra Pradesh, the scope of this
study is broad and narrow. Covering almost all mechanisms of welfare systems and societal safety procedures, the scope
of the study may seem narrow, as it en compasses many unorganized areas. This doesn't have tobe a restriction of the
research, as the in-depth investigation Itself ends itself to a keen analysis and a comprehensive range to gain better insights
into issues related to worker welfare and societal safety.
OBJECTIVES OF THE STUDY
To Study the Welfare Schemes and Societal Safety Procedures in General and in Specific to Unorganized Sector in Guntur
District in Andhra Pradesh. 2) To Find Out the Issues and Challenges Faced by the Unorganized Workers in this Study
Area. 3) To Study the Government Strategy or Policy to Support the Unorganized Workers in the Guntur District in
Andhra Pradesh. 4) To Offer the Suggestion for Better Ways and Means to the Policy Makers of Government to
Overcome the Issues and Problems Faced by Unorganized Sector Workers in the statement.
METHODOLOGY OF THE STUDY
The cogency of a study depends on an efficient method of collecting data and analysing it in sequence. Both primary and
secondary data were widely used in this study.
Primary Data: Key data was collected directly from sample staff through a well-structured interview system. Initial data
were collected from a sample of 1165 respondents from the Guntur district of Andhra Pradesh.
Welfare Schemes and Social Security Measures in Unorganized Sectors: 23
With Reference to Guntur District in Andhra Pradesh
www.tjprc.org [email protected]
Secondary Sources of Data: The sources of data are publications for the collection of some source material, doctoral
dissertations or dissertations and other research reports, books, journals, research articles, magazines, newspapers, and
various other unpublished works such as websites.
SAMPLING DESIGN
The study in unorganized workers on Welfare Schemes and Societal Safety Procedures in unorganized segments, the
researcher taken a no of unorganized areas in Guntur district. The unorganized segments consist ofi) Agriculture Sector ii)
Industry Sector and iii) Service Sectors. There are 1165(25%) respondents were chosen from Study, on a stratified random
basis and in total there are 4,660 Population in Guntur District. The members were interviewed in their houses and work
places by the researcher generally during their leisure time. The interview was quite informal and through natural
conversation only.
Table 1: Selection of Sample Size in Unorganized Sectors in Guntur District in Andhra Pradesh
Sl.
No.
Name of the
District
Total Workers in
Rural Aras
Total Workers in
Urban Areas
Total Workers in
Rural + Urban Areas
Total Unorganized
workers (25%)
1 Guntur Division 660 780 1440 360
2 Tenali Division 540 520 1060 265
3 Narasaraopet
Division
580 740 1320 330
4 Gurazala
Division
420 420 840 210
Total 2200 2460 4660 1165
Table.1: For the Study in unorganized sectors in Guntur District with reference to Andhra Pradesh, the researcher
adopted the 4 divisions, i.e., i) Guntur Division, ii) Tenali Division iii) Narasaraopet Division and iv) Gurazala Division. In
this divisions also the researcher selected the respondents from rural and urban area, according to the same the researcher
selected overall 1165 (25 %) of the sample size from the total population size is 4660.
Data analysis and Statistical Tools: Questionnaire consists of 12 questions, which includes multiple choice questions,
open-ended question & close ended questions. Percentage of each category is calculated &presented. The statistical tools
applied depending for the data analysis and they are: i) Percentage method, ii) Descriptive method, iii) Chi-Square test and
T-test.
DATA ANALYSIS AND THE INTERPRETATION
Table 2: Category of Sectors and Nature of Working Organisation
Sl. No. Category of Sector and Nature of Working Organization No of Respondents Percentage (%)
1 Agriculture Sector – Includes
Agriculture Workers 225 19.31
Live farming 70 6.01
Forestry and Lagging 85 7.30
Fishing 145 12.45
2 Industry Sector – Includes
Mining and Quarrying 65 5.58
Manufacturing (Registered & Unregistered) 80 6.87
Electric - Gas and Water Supply 55 4.72
Building Constructions Workers and Casual Labours 95 8.15
24 Dr. Shaik Mastan Vali
Impact Factor (JCC): 8.9193 NAAS Rating: 3.43
3 Service Sectors – Includes
Trade - Hotels and Restaurants 60 5.15
Transport by other means and storage 40 3.43
Communications 35 3.00
Banking and Insurance 25 2.15
Real Estates - Business Services 30 2.58
Public Administration and other Services 20 1.72
Self-Employees - Tailors - Barbers - Garment Workers 55 4.72
Employees in Shops and Commercial Establishments 45 3.86
Education and Health Sectors 35 3.00
Total 1165 100.00
Table.2: From this table the researcher selected the 3 categories of sectors, about 1165 (25%) of sample size, these
sectors are economical sources for the state and they include Agriculture sector, which is includes – agriculture workers –
Live farming, Forestry and Lagging and Fishing about 525 sample size has been taken from this sector. Similarly, from
Industry sector about 295 sample size has been chosen, which is contains mining and Quarrying – Industrial
Manufacturing– Electric – Gas and Water supply. And Finally, from the Service area the researcher selected about 345
sample size from this sector, which is include Trade and Hotels – Restaurants = Transport – the Communication – the
Banking and the Insurance and the Real Estate/Business facilities – Public administrations – Self Employees like tailors,
barbers, garment workers, Employees in Shops and commercial establishments and education and health sectors also.
Table 3: Nature or type of Workers in Agriculture/industry and Service Segments
Sl. No.
Nature or type of Workers in Agriculture/industry and service
Segments
No of
Respondents
Percentage
(%)
1 Accountants - Clerks and Attenders 65 5.58
2 Live farming – Fishermen workers 55 4.72
3 Flour Mills Operators and Workers 35 3.00
4 Building Construction workers or Helpers 105 9.01
5 Electricity Lineman’s – Technicians – Welders and Fitters 65 5.58
6 Electronic electrical goods repair Workers 45 3.86
7 Real Estate - Tele Callers and Executives 85 7.30
8 Transport Services - Drivers and Conductors 85 7.30
9 Catering - Cashiers - Cooks - - Waiters – Delivery Boys or Workers 105 9.01
10 Tailors – Embroidery Workers 95 8.15
11 Hair Dressing – Carpentry – Laundry workers 85 7.30
12 Garment Workers and Sales Mans 65 5.58
13 Security Services 85 7.30
14 Printing and Stationary - Book binding Workers 65 5.58
15 Mid-Day Meal Workers 45 3.86
16 Sweepers and Scavengers 80 6.87
Total 1165 100.00
From the Table.3: The type or nature of workers in three types of sectors are includes for the statement is – the
investigator has been chosen Building construction workers and catering - cashiers -cooks etc. each 105 (9.01%) highest
respondents, and self-employees of tailors and embroidery workers 95 (8.15%) is the second priority and Real estate tele-
callers and executives, transport drivers and conductors and security services employees or workers are 85 (7.30%) from
Welfare Schemes and Social Security Measures in Unorganized Sectors: 25
With Reference to Guntur District in Andhra Pradesh
www.tjprc.org [email protected]
each employee categories have been responded. The least category workers responses received from the Flour mills
operators and workers 35 (3.00%) only.
Table 4 Gender – Wise Respondents in Unorganized Sectors
Sl.
No.
Gender –
Wise
Agriculture
Sector
Percentage
(%)
Industry
Sector
Percentage
(%)
Service
Sector
Percentage
(%)
1 Male 350 66.67 195 66.10 205 59.42
2 Female 175 33.33 100 33.90 140 40.58
Total 525 100.00 295 100.00 345 100.00
From the Table 4, the data analysis and interpretation is showing that the Male respondents from the three sectors are 750
(64.37 %) and Female respondents are 415 (35.62%) only from the selected sectors.
Chi – Square Calculated Degrees of Freedoms
5.27 2
Chi – Square Calculated for the gender wise respondents are 5.27 and df is 2 which is 5% variations
Table 5: Marital Status – Wise Respondents in Unorganized Sectors
Sl.
No
.
Marital
Status
Agriculture
Sector
Percentage
(%)
Industry
Sector
Percentage
(%)
Service
Sector
Percentage
(%)
1 Married 245 46.67 145 49.15 195 56.52
2 Un-Married 235 44.76 125 42.37 125 36.23
3 Divorced 25 4.76 15 5.08 20 5.80
4 Widow 20 3.81 10 3.39 5 1.45
Total 525 100.00 295 100.00 345 100.00
The Table 5 is stating that the marital status of the respondents from the three sectors, the statistics is showing
majority of the respondents are un-married i.e., 585 (50.21 %), married respondents are 485 (41.63%) and divorced and
widow respondents are similarly 60 (5.15%) and 35 (3.00%) are identified from the Marital status table.
Chi – Square Calculated Degrees of Freedoms
12.29 6
For this table the chi -square calculated and the marital status results are 12.29 and the df is 6.
Table 6: Age – Wise Respondents in Unorganized Sectors
Sl.
No
.
Age - Wise Agriculture
Sector
Percentage
(%)
Industry
Sector
Percentage
(%)
Service
Sector
Percentage
(%)
1 18 - 25 Years 195 37.14 95 32.20 105 30.43
2 26 - 35 Years 225 42.86 75 25.42 125 36.23
3 36- 50 Years 45 8.57 60 20.34 70 20.29
4 Above 50
Years 60 11.43 65 22.03 45 13.04
Total 525 100.00 295 100.00 345 100.00
26 Dr. Shaik Mastan Vali
Impact Factor (JCC): 8.9193 NAAS Rating: 3.43
The table 6 is showing the interpretation about the age wise respondents from the three sectors are 425 (36.48%)
of the respondents belongs to 26 - 35 Years category and 395 (33.90%) of the respondents are beginning working age
respondents, i.e., 18-25 Years category.
Chi – Square Calculated Degrees of Freedoms
15.36 6
The chi – square calculated for the age – wise respondents in the selected sectors is 15.36 and the df is 6 showing.
Table 7: Period of Service in Unorganized Sectors
Sl.
No.
Period of
Service
Agriculture
Sector
Percentage
(%)
Industry
Sector
Percentage
(%)
Service
Sector
Percentage
(%)
1 0-3 Years 205 39.05 85 28.81 125 36.23
2 3-6 Years 125 23.81 95 32.20 85 24.64
3 6-10 Years 90 17.14 65 22.03 70 20.29
4 Above 10
Years 105 20.00 50 16.95 65 18.84
Total 525 100.00 295 100.00 345 100.00
From the Table 7, the data analysis is stating that the period of service from the selected three sector workers in
unorganized sectors are the period of the services are given by them and they are 415 (35.62%) of the respondents are 0 – 3
years’ service period category. The second highest category of service is 305 (26.18 %) which is 3 to 6 years period of
service category, the period of the service 6 – 10 are 225 (19.31 %) and over and above 10 years period of the service
workers are 220 (18.88%) from the Agriculture, Industry and Service Sectors.
Chi – Square Calculated Degrees of Freedoms
14.64 6
For the study the chi – square calculated for the period of service is 14.64 and df is 6 for the three sectors.
Table8:Working hours in Unorganized Sectors
Sl.
No.
Working hours in Unorganized
Sectors
8hou
rs
10
hours
12
hours
15
hours
Total No of
Respondents
Percentage
(%)
1 Agriculture Sector 195 135 105 90 525 45.06
2 Industry Sector 90 95 65 45 295 25.32
3 Service Sectors 125 110 65 45 345 29.61
Total 410 340 235 180 1165 100.00
The data analysis and its statistics is showing that the working hour of the respondents in agriculture- industry - Service
segments for the study is about 410 (35.19%) of the respondents said they are working 8 hours only, and 10 hours 340
(29.18%), 12 hours respondents are 235 (20.17%) and over and above 15 hours working respondents are 180 (15.45%)
only responded from the selected sectors for this study.
Chi – Square Calculated Degrees of Freedoms
9.55 6
Chi – Square calculated for the working hour is 9.55 and df is 6
Welfare Schemes and Social Security Measures in Unorganized Sectors: 27
With Reference to Guntur District in Andhra Pradesh
www.tjprc.org [email protected]
Table 9: Welfare Measures or Benefits Received by the Respondents
Sl.No. Type of Benefits Received Yes No Can't Say
Agriculture/Industry and Service
Sectors Percentage (%)
1 Recreational 4 24 2 30 2.58
2 Medical Cares 29 81 3 113 9.70
3 Educational Facilities 43 87 6 136 11.67
4 Housing Benefits 30 96 8 134 11.50
5 Transportation Facilities 38 88 5 131 11.24
6 Safety Measures 28 86 3 117 10.04
7 Sanitation Facilities 24 90 2 116 9.96
8 ESI Facilities 35 82 1 118 10.13
9 Sickness Leaves 54 82 2 138 11.85
10 P.F. and Maternity benefits 44 85 3 132 11.33
Total 329 801 35 1165 100
From the table9, the researcher studied about 10 welfare measures or welfare benefitsfor the study which is
(Recreational, Medical, Educational, Housing, Transport and Safety measures etc.) useful for the respondents and the
responses received from them majority of the respondents said 801 (68.75%) that they are no receiving any type of welfare
measures and only 329 (28.24%) of the respondents said they are getting the benefits from them. Few 35 (3.0%) only said
can’t say responses received from them.
Chi – Square Calculated Degrees of Freedoms
30.58 18
The chi – square calculated for the type of benefits received by the respondents and the status is 30.58 and df is
18, here 10 types of benefits selected for the study.
Table 10:Social Security Measures Received if any – Respondents Status
Sl.
No. Type of Benefits Received Yes No
Agriculture/Industry and Service
Sectors
Percentage
(%)
1 Retirement Benefits 30 95 125 10.73
2 Disability Benefits 85 115 200 17.17
3 Survivors Benefits 55 95 150 12.88
4 Supplemental Security Income Benefits 55 105 160 13.73
5 Cash Loan Benefits 105 145 250 21.46
6 Medicare/First Aid 75 85 160 13.73
7 Other Benefits if any 65 55 120 10.30
Total 470 695 1165 100.00
The table no. 10 is providing the information about the social security measures of the respondents from the agriculture,
Industry and Service sectors, the researcher selected 7 types of benefits for this study and they are (Retirement, Disability,
Survivors, Supplemental security income, Cash loan, etc.), similarly, this benefits also properly did not received by the
respondents i.e. 685 (59.65%) said they are not getting any type of social security measure from the unorganized sectors
and 470 (39.35 %) of the respondents only said they are getting the benefits form the sectors.
28 Dr. Shaik Mastan Vali
Impact Factor (JCC): 8.9193 NAAS Rating: 3.43
Chi – Square Calculated Degrees of Freedoms
30.11 6
The table is showing and respondent received the benefits the chi square calculated and i.e. 30.11 and df is 6
Table 11: Issues and Challenges faced by the Unorganized workers in the Study Area
Sl.
No.
Types of issues and challenges Faced by the Unorganized
workers
Agriculture/Industry and Service Sector -
Respondents
Yes No Total
1 Workers Working in Unorganised Sector Get Few Wages 125 15 140
2 No delivery for overtime, paid leave, holidays, sick leave, etc. 65 13 78
3 Employment is subject to a high degree of anxiety 45 10 55
4 The Child Labour Is the Most Exploited Among the Employees in An Unorganised Sector. 55 10 65
5
The Work in The Unorganised Sector Is Not Fixed, it Depends on Various Factor So in Search of The Job the Labourers Have to
Move from One Place to Another. The Expensed Spent on
Migration Pose A Threat to Their Livelihood. 95 25 120
6 Poor Working Conditions and Poor Bargaining Capacity 65 5 70
7
Lack of human capitalbase in terms of education, skills and
training 35 5 40
8 Stratified on caste, community according to in Rural Areas 65 7 72
9 Little Awareness of Workplace Hazards 40 5 45
10
Workers staying close to working places &extended working time
also 65 10 75
11 Lack of Implementation of Health & Safety Legislation, 85 25 110
12 Temporary and Part-Time Employment; 65 10 75
13 No Formal Employer-Employee Relationship; 55 10 65
14 No Concept of Trade/Labour Union 45 10 55
15 It Is Largely Outside the Control of Government 85 15 100
Total 990 175 1165
From the above table 11 is showing that the issues and challenges faced by the unorganized workforce and the
data analysis and interpretation is stating that about 990 (8497%) of the respondents said they are facing multiple issues
and challenges like few wages, over time, paid leave, migration, poor working conditions, caste based appointments
especially in rural areas, workplace hazards, working hours, health and safety legislation, part – time employment,
employer and employee relation trade/labour union and outside the control of the government, and only 175 (15.03%) of
the respondents said they do not have any issues with them.
Chi – Square Calculated Degrees of Freedoms
32.75 14
The chi square calculated for the respondent’s issues and challenges faced in unorganized sectors in Guntur
district with reference to Andhra Pradesh. and the chi square calculated is 32.75 and df is 14
Welfare Schemes and Social Security Measures in Unorganized Sectors: 29
With Reference to Guntur District in Andhra Pradesh
www.tjprc.org [email protected]
Table 12: Awareness of the Workers about their Rules and Regulations in unorganized sectors - the statement of
the Respondents
Sl.
No. About their Rules and Regulations
Agriculture/Industry and Service
Sectors
Percentage
(%)
1 I am aware that my industry is an unorganized industry 305 26.18
2 I am aware of my legal rights as a worker 225 19.31
3 I am aware of that we can form a union 185 15.88
4
I am aware that government had enacted rules to ensure
our welfare 210 18.03
5
Labour Officers from labour department visit’s our site to
ensure statutory compliances 135 11.59
6 Awareness of unorganized sector workers Act 2008 105 9.01
Total 1165 100.00
The Table 12 is showing that the awareness of the workers about the rules and regulations in unorganized sectors
in Guntur district with reference to Andhra Pradesh, and the awareness responses are 305 (26.18 %) said I am aware that
my industry is unorganized sector. about 225 (19.31%) said I am aware of my legal rights as a worker. and 210 (18.03%)
responses said I am aware that government had enacted rules to ensure our welfare Labour Officers from labour
department visit’s our site to ensure statutory compliances said 135 (11.59 %) only 105 (9.01 %) have the awareness of
unorganized sector workers Act 2008
FINDING OF THE STUDY
The researcher selected the 3 categories of sectors, about 1165 (25%) of sample size, these sectors are economical
sources for the state and they include Agriculture sector, which is includes – agriculture workers – Live farming,
Forestry and Lagging and Fishing about 525 sample size has been taken from this sector. Similarly, from Industry
sector about 295 sample size has been chosen, which is includes mining, quarrying, manufacturing,electric – gas
& water supply. And Finally, from the Service area the researcher selected about 345 sample size from this
sector, which is include Trade and Hotels – Cafeterias = Transportation – communication – Finance-insurance-
real estate/business areas – Public administrations – Self Employees like tailors, barbers, garment workers,
Employees in Shops and commercial establishments and education and health sectors also.
The type or nature of workers in three types of sectors are includes for the statement – the investigator has chosen
building construction workers and catering - cashiers -cooks etc. each 105 (9.01%) highest respondents, and self-
employees of tailors and embroidery workers 95 (8.15%) is the second priority and Real estate tele-callers and
executives, transport drivers and conductors and security services employees or workers are 85 (7.30%) from each
employee categories have been responded. The least category workers responses received from the Flour mills
operators and workers 35 (3.00%) only.
The researcher studied about 10 welfare measures or welfare benefits for the study which is (Recreational,
Medical, Educational, Housing, Transport and Safety measures etc.) useful for the respondents and the responses
received from them majority of the respondents said 801 (68.75%) that they are no receiving any type of welfare
measures and only 329 (28.24%) of the respondents said they are getting the benefits from them. Few 35 (3.0%)
only said can’t say responses received from them.
The researcher Providing the information about the social security measures of the respondents from the
30 Dr. Shaik Mastan Vali
Impact Factor (JCC): 8.9193 NAAS Rating: 3.43
agriculture, Industry and Service sectors, the researcher selected 7 types of benefits for this study and they are
(Retirement, Disability, Survivors, Supplemental security income, Cash loan, etc.), similarly, this benefits also
properly did not received by the respondents i.e. 685 (59.65%) said they are not getting any type of societalsafety
measure from the unorganized sectors and 470 (39.35 %) of the respondents only said they are getting the benefits
form the sectors.
That the issues and challenges faced by the unorganized workforce and the data analysis and interpretation is
stating that about 990 (8497%) of the respondents said they are facing multiple issues and challenges like few
wages, over time, paid leave, migration, poor working conditions, caste based appointments especially in rural
areas, workplace hazards, working hours, health and safety legislation, part – time employment, employer and
employee relation trade/labour union and outside the control of the government, and only 175 (15.03%) of the
respondents said they do not have any issues with them.
That the awareness of the workers about the rules and regulations in unorganized sectors in Guntur district with
reference to Andhra Pradesh, and the awareness responses are 305 (26.18 %) said I am aware that my industry is
unorganized sector. about 225 (19.31%) said I am aware of my legal rights as a worker. and 210 (18.03%)
responses said I am aware that government had enacted rules to ensure our welfare, Labour Officers from labour
department visit’s our site to ensure statutory compliances said 135 (11.59 %), only 105 (9.01 %) have the
awareness of unorganized sector workers Act 2008
SUGGESTIONS FOR THE STUDY
The government uses various other means of production/social security for workers in the informal sector, such
as Swarnjayanti Gram Swarojgar Yojana, SwarnJayanti Shahari Rojgar Yojana, etc. Through various
Ministries/Departments, the ministries/Departments should create awareness about the programmes and schemes
through advertisements to reach them.
The Central and State Government Should protect workers in the unorganised sector like, the government can fix
minimum wages, the government should provide specific working hours, the government can enact new laws on
overtime and salary range, provide cheap loan with low interest and open small-scale industry.
The government can provide affordable and affordable basic services such as education, health, food for these
workers. farmers to be given timely delivery of seeds, Daily workers to be given regular employment, following
rules and regulations strictly and as most workers are from low caste, ensure that there is no social discrimination
They provide recommendations to the Union Government on appropriate programs for informal workers. Advise
the Government on matters arising from the administration of the law.
Check the registration and issue an identity card to the unorganized workers. Review the records of the functions
performed by the state government at the state level. Review the expenditure from the funds under different
schemes. Do other work assigned by the central government.
CONCLUSIONS
Due to the many problems faced by unorganized workers, such as low wages, worker exploitation and cruel conditions, the
Welfare Schemes and Social Security Measures in Unorganized Sectors: 31
With Reference to Guntur District in Andhra Pradesh
www.tjprc.org [email protected]
Indian legislative system helps various provisions covered by the Indian Constitution to protect the rights of unorganized
workers. The Government of India takes a step forward by enacting the 2008 Unorganized Social Security Act, a law to
provide underlying social security to unorganized workers working in unorganized sectors. I took a step forward. The
central government is under the required section and the state government is under the designated section due to the
failure of proper implementation of the law, sometimes the judiciary is to protect the rights of unorganized workers
Moving forward Unorganized workers are certainly outside the scope of social security measures. If the unorganized
sectors really consider the guidelines given by the Central and State Governments and implement the same, the
dissatisfaction level of the workers will get reduced. The unorganized sectors should take more initiatives regarding the
workers‟ welfare and social security should be periodical follow up about the welfare measures in the organization, to
constantly boost up the morale of the workers, which would indirectly help towards the better achievement of the
unorganized sectors objectives.
REFERENCES
1. Edwin Kasere (2003), “Social exclusion and social security: the case of Zimbabwe”, Journal of Social Development in Africa,
Vol.18, No.1.
2. Wekesa, D. M., C. P. Kiprotich, and J. O. S. P. H. A. T. Kwasira. "An assessment of human resource management practices on
organizational performance in private security firms in Kenya." International Journal of Human Resource Management and
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