Sca Project
Sca Project
Submitted by
Submitted to
Dr. Y Thorani Course
A.Lonica – VP22MGMT0100009
Instructor, SCA
B.Navya – VP22MGMT0100030
Bhargav Reddy -
VP22MGMT100086
Manisha Naik – VP22MGMT0100353
Table of Content
Chapter-I – Introduction 5
References 43
Appendix (Questionnaire) 44
LIST OF FIGURES
Not just in India, but throughout the entire world, unemployment is a very
serious problem. There are a great many people who are unemployed,
numbering in the hundreds of thousands. In addition, India's unemployment
issues are highly serious due to the country's expanding population and high
labour demand. Furthermore, if we ignore this issue, it will eventually lead to
the collapse of the country.
Types of Unemployment
Included among the numerous forms of unemployment are structural
unemployment, open unemployment, technological unemployment, and
disguised unemployment. In addition, there are several different types of
unemployment, including cyclical unemployment, educated unemployment,
underemployment, frictional unemployment, chronic unemployment, and casual
unemployment.
Consequences of Unemployment
Support of Government
The issue has been taken extremely seriously by the government, and steps have
been done to gradually lower unemployment. Among these programmes are the
Integrated Rural Development Program (IRDP), the Drought Prone Area
Program (DPAP), the Jawahar Rozgar Yojana, the Employment Assurance
Scheme, the Nehru Rozgar Yojana, the Training for Self-Employment Program,
the Prime Minister's Integrated Urban Poverty Eradication Program
(PMIUPEP), the Employment Exchange, the Employment Guarantee Scheme,
the development of the organised sector.
Along with these programmes, the government also relaxes some regulations to
allow for the creation of jobs in the private sector.
CHAPTER 2
REVIEW OF LITERATURE
Research Objectives 1:
Literature review
• Defective Business Arranging: The Long term Plans (FYPs) have not
been intended for work age. In these plans, it was expected that it would deal
with the issues connected with joblessness yet a genuine endeavor to tackle the
issue was absent.
• Rot of cabin and little enterprises - The bungalow and little ventures are
work escalated and produce various business valuable open doors. Yet, the
English rule prompted their rot and the public authority of free India didn't start
satisfactory measures for their restoration. This intensified the issue of
joblessness.
Research Objectives 2 :
Youth joblessness can possibly have critical and serious social repercussions.
Youth joblessness can prompt social prohibition and turmoil. Putting resources
into nice work creation notwithstanding, as well as in schooling and preparing
open doors for the adolescent, will assist them with tracking down their place
and add to additional prosperous and stable social orders. As per a review, in the
following 10 years, one billion youngsters will enter the work market, and huge
quantities of youngsters face a fate of unpredictable and casual business.
Plan Global reliably enlists a greater part of young ladies to take part in the
entirety of its Childhood Monetary Strengthening programs, and urge them to
work in contemporary areas. It likewise plans to change orientation standards
that keep young ladies down, by continuously implanting orientation
correspondence inside its preparation stages, and working with guardians,
networks and managers, so they become facilitators of young ladies' financial
strengthening. This empowers Plan Worldwide's Childhood Monetary
Strengthening projects to be really orientation extraordinary.
Plan Global fostered a special way to deal with Youth Monetary Strengthening:
the Young Business Arrangements model, which follows a six stage process and
is adjusted to the nearby setting of each and every nation Plan Worldwide works
in.
Literature review
Research Objectives 3 :
Literature review
1) Utilization of Work escalated Innovation:
Both the coordinated and un-coordinated areas should take on work escalated
innovation on the off chance that adequate business open doors are to be created
in both the provincial and metropolitan areas of the economy. The decrease in
business flexibility of result development is basically because of the rising
pattern in capital force in the coordinated modern area as well as in farming.
Expanding automation of horticulture in different states has brought down the
business flexibility of development of agrarian result. In this manner, for raising
work power, reasonable financial and monetary measures should be taken on to
put the utilization of capital-escalated strategies down. Obviously, the
utilization of work escalated methods with lower efficiency of laborers in the
business and horticulture might bring down the development of result. Along
these lines, there may be same compromise among work and development of
result. In our view because of the earnestness of joblessness issue some result
development ought to be forfeited for greater business.
2) Speeding up Interest in Agribusiness:
Second, a significant justification behind sluggish development of work in
horticulture and rustic area has likewise been a deficiency in speculation or
capital development in farming. Both people in general and confidential area
interest in agribusiness has declined since the mid nineties. Critical from the
perspective of business age is interest in water system, country streets, flood
control projects, power age and other foundation.
It is significant that speculation creates business straightforwardly as well as has
a multiplier impact which works through in reverse and forward linkages.
Thusly, UPA government's Normal Least Program (CMP) which accommodates
moving forward of interest in farming and rustic frameworks is an
extraordinarily welcome step for business age.
The declaration by the public authority to outfit more credit to ranchers at lower
than market paces of revenue from business banks will likewise guarantee that
the little and medium ranchers will actually want to purchase manures, other
high-yielding information sources, and set up for their water system.
This will raise their efficiency and will more often than not diminish
under¬employment and camouflaged joblessness. Regardless of over fifty years
of arranged modern turn of events, farming keeps on being chief wellspring of
work in the Indian economy. However the portion of Gross domestic product
from horticulture has come down to around 22%, still around 58% of workforce
keeps on being utilized in agribusiness. As a matter of fact, farming keeps on
being the parking area of the jobless in the country.
Yet, a lot of people participated in horticulture and related exercises are not
gainfully business. There is far reaching under-work and masked jobless, truth
be told. Monetary changes started in 1991 have all around ignored farming
which even currently doesn't get sufficient credit from business banks.
No big surprise that there has been a fall in venture or capital development in
farming both by the private and public areas. This is a significant motivation
behind why business potential open doors in farming have not risen a lot
causing expansion in rustic joblessness. Presently, UPI (Joined Moderate
Coalition) government with Dr. Manmohan Singh as Top state leader, has set
before itself the errand of making significant interest in farming to produce
sufficient business valuable open doors in this area.
3) Broadening of Horticulture:
Other than there is pressing requirement for broadening of farming. For
instance, there is a dire requirement for a relative shift from developing of
yields to cultivation, vegetable creation, gardening, creature farming, fisheries
and so on which are more labour retaining and higher pay yielding. Moreover,
advancement of agro-handling businesses for send out purposes has an
enormous work potential.
For the fast development of business amazing open doors in agribusiness and
related areas and agro-handling enterprises, interest in framework including
water system, provincial peruses, power supply, and advancement of farming
business sectors are required.
4) Work Concentrated Modern Development:
For taking care of joblessness issue in the metropolitan regions, the coordinated
modern area should likewise retain an adequate number of laborers. The
disappointment of the coordinated modern area to create sufficient business
valuable open doors is because of the utilization of capital-serious advances
imported from abroad.
The propensity to utilize the higher capital-escalated innovation by the Indian
enterprises in the post change period has been heightened on the grounds that
they are attempting to further develop seriousness to confront rivalry from
imported items.
The other component answerable for the utilization of higher capital serious
innovations is the element value mutilations, for example, modest capital and
moderately higher wages of laborers who have solid worker's organizations.
Capital has become moderately modest because of different monetary
concessions, for example, liberal devaluation and speculation recompense and
low loan fees on acquired assets for venture. Resulting to the utilization of high
capital-serious innovations in our businesses the work efficiency has been
expanding while business has been developing at an agonizingly slow clip.
Hence, to energize the utilization of somewhat more work concentrated
advancements and consequently to create greater business open doors, financial
and money related concessions referenced above on utilization of capital should
be removed. For this situation there will undoubtedly be some deficiency of
laborers' efficiency. Hence, this will include some compromise among work and
result. In our view, since joblessness issue is intense and significantly harms
individuals' government assistance, some development of result merits
forfeiting for greater business open doors.
5) Administrations and Business Development:
The development of administrations in India has a huge business potential. In
1993-94 to 1999-2000, close to the development area the business versatility of
result development in administrations was higher and was assessed at around
0.50. Of unique notice are programming administrations and BPO (Business
Handling Rethinking) which have a ton of work potential, particularly for the
informed young people of the country.
Different administrations like money, protection, exchange, lodgings, and
eateries have likewise a great deal of work potential. Yet, something essential to
note is that development of these administrations is reliant upon modern and
horticultural development in the economy.
6) Instruction, Wellbeing and Work Age:
Finally, the development of training and medical care not just advances
gathering of human resources and in this manner adds to development of result,
it will likewise produce a reasonable setup of business open doors. More
schools, medical clinics, medical services facilities in the country and
metropolitan regions won't just make work during their development yet in
addition, and more significant, when they begin attempting to give training and
wellbeing administrations. Their working gives work to both the informed and
untalented people. Consequently, a higher designation of assets is expected to
be made for them in government spending plans and in our tentative
arrangements.
Research Objectives 4:
To make recommendations based on the findings of this research.
Literature review
Introduction
Research Design
Keeping in mind the research problem and the objectives of this particular
project, the types of research design that will be used are as follows:
The target population for this study is people in the age group 18 to 30, i.e., youth
and preferably people who graduated in the recent years from either their
undergraduate or post graduate degrees or both. Since the problem statement of
this project focusses on why majority of the youth are being unemployed, the unit
of analysis is the youth.
Sampling Method
Probability Sampling Method will be used in this project for sampling. This is a
method where the researches sets a certain selection criteria and randomly
chooses members from the population. This kind of population gives equal scope
for members to be a part of the sample. Probability Sampling is further divided
into Simple Random Sampling, Cluster Sampling, Systematic Sampling,
Stratified Random Sampling. Cluster Sampling is going to be used for this
research project where the responses are divided into various clusters and
analysed accordingly.
Data types
Primary Data:
Primary data is the kind of data that is collected first hand by the researcher. It
can be collected through various sources like interviews, questionnaires, etc.. that
are specially designed to derive solutions for a specific research problem.
Secondary Data:
Secondary data is the kind of data that is taken from pre existing sources. This is
the data that is generated by large institutions like Government, Multinational
companies, etc.. which can be used for research purposes.
Data can be collected through various methods based on the research problem.
Some methods of data collection include surveys, interviews, observation,
questionnaire, focus groups. Based on the research problem for this project, the
chosen data collection technique is Questionnaire where a set of questions will
be circulated via a Google Form and the responses are recorded and carefully
analysed.
Primary data for this project will be collected from the responses to the questions
in the questionnaire that is being circulated. The collected data will be studied
and analysed based on the research problem.
Secondary data for this project will be collected from various online sources like
journals, e-magazines, websites, etc.. based on the requirement and the research
problem.
Execution of questionnaire
The questionnaire has been carefully prepared keeping in mind the research
objectives and the research problem. The questionnaire is prepared using Google
Forms since it is one of the simplest ways to prepare and circulate a questionnaire
and also facilitates in easy collection data and analysis. The duration of data
collection would be one week and the questionnaire will be circulated to everyone
in the social groups of the group members via each group member’s individual
social media handles like WhatsApp, Gmail, etc..
CHAPTER 4
DATA ANALYSIS
DESCRIPTIVE STATISTICS
1) Which age group do you fall under?
frequenc percentag
Age group y e
less than 20 17 21.2
21-25 65 72.9
26-30 4 5.9
more than 30 0 0
Age Group
150
100
50
0
less than 20 21-25 26-30 more than 30
frequency percentage
G1
INTERPRETATION
From the above figure and table, it is observed that majority of the respondents, i.e.,
62 respondents (72.9%) belong to the age group 21-25. So, it is observed that fresh
graduates or candidates who are about to enter the corporate industry have taken this
survey.
Gender
70
60
50
40
30
20
10
0
male female prefer not to say
frequency percentage
Graph 2
INTERPRETATION
The above figure and table shows the statistics of the gender of the
respondents. It is observed that 60% of the respondents (51 respondents) are
male whereas the remaining are female. This shows that the number of male
respondents are more than the female respondents.
Graph 3
INTERPRETATION
Since this is an open ended and an optional
question, only 72 out of 85 respondents
chose to respond. From the above figure,
33.3% of the respondents (24 respondents)
are from Visakhapatnam, making it the
highest.
+2 5 5.9
Undergraduate 40 50.6
Postgraduate 35 42.4
Ph.D 1 1.1
Highest Level of Study
60
50
40
30
20
10
0
plus 2 undergraduate postgraduate ph.d
Series1 Series2
Graph 4
INTERPRETATION
The above figure represents the highest level of study of the respondents. It is
observed that majority of the respondents have finished their under graduation
degrees. This shows that a major part of the youth look forward to enter into the
corporate industry as soon as they finish their under graduation.
Table 5
Current Working Status
100
90
80
70
60
50
40
30
20
10
0
frequency percentage
unemployed employed
Graph 5
INTERPRETATION
From the above table and figure, it was observed that 88.2% of the respondents are
unemployed and looking for a job or on thoughts of various other options. This question
hence justifies the target group that was selected for this research study.
Table 6
Chart Title
60
50
40
30
20
10
0
frequency percentage
Graph 6
INTERPRETATION
The above table and figure show the preference of unemployed people. It is
observed that there is a close gap between respondents wanting to choose to
do a job and to start their own business.
Frequency Percentage
6 7.1%
5 7.1%
22 32.1%
20 25%
33 28.6%
Table 7
35 33
30
25
22
20
20
Frequency
15 Percentage
10
6
5
5
7.1% 7.1% 32.1% 25% 28.6%
0
1 2 3 4 5
Graph 7
INTERPRETATION
The above table and figure shows how past education helps the
candidate in pursuing a job. From the above figure it shows that
32.1% of respondents believe that past education play important
role in one's job role.
Graph 8
INTERPRETATION
From the figure shown above, it was observed that some
respondants felt that higher pay is one reason to change a job,
some respondants responded that better working conditions can
influence ones decision of changing a job, some responded to
better career prospects and some responded that combined work
and family prospects and dissatisfaction can be some important
reasons to change a job.
Percentage
14.1%
29.4% 1
2
3
35.3%
4
21.2%
Graph 9
INTERPRETATION
The above table and figure shows that the cause of unemployment
is because of an increase in technology which statistically says
35.3%.
10. Have you received any advice or help from employment services?
Frequenc Percentag
Option y e
None 41 50.6%
Advice on how to search a job 11 13.6%
Information on vacancies 13 16.0%
Guidance on education 16 19.8%
Table 10
Percentage
19.8%
1
2
16.0% 50.6% 3
4
13.6%
Graph 10
INTERPRETATION
The above table and figure shows that the 50.6% respondents
agree and did not receive any advice from employment services.
11. Are there unemployed youth in your community?
Percent
Unemployed youth in your community Frequency age
Yes 68 81.90%
No 15 18.10%
Total 83 100
Table 11
Chart Title
100
83
68
81.90% 15 18.10%
YES NO TOTAL
Frequency Percentage
Graph 11
INTERPRETATION
The above table and figure shows that 81.90% of youth are unemployed in the
community.
Anxiety 7 8.40%
Depression 43 51.80%
Loss of emotional control 29 34.90%
Suicidal tendencies 4 4.90%
83 100
Table 11
Chart Title
100
83
43
29
0 78.40% 0 51.80% 0 34.90% 0 44.90%
1 2 3 4 5 6
Graph 12
INTERPRETATION
The above table and figure shows that 51.80% of unemployed youth go through
depression due to unemployment.
Highly unlikely 5 6%
Unlikely 9 10.80%
Somewhat 22 26.50%
Likely 23 27.70%
Most likely 24 28.90%
Table 13
Chart Title
25
20
15
10
5
0
Highly unlikelyUnlikely Somewhat Likely Most likely
Frequency Percentage
Graph 13
INTERPRETATION
The above table and figure shows that 28.90% of youth are most likely to
develop mental and health issues because of unemployment.
High Competition 10
11
27
20
25
Social pressure 10
10
20
23
20
Table 14
Chart Title
30
25
20
15
10
5
0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Frequency(scale 1to 5) 0
Graph 14
INTERPRETATION
The above table shows the different issues faced by the youth due to
unemployment on a rating scale. Majority of the respondents have strongly
agreed that high competition and low self esteem are the issues faced by the
youth due to unemployment.
Frequenc Percentag
Human labour be replaced by machines y e
Yes 28 67.10%
No 55 32.90%
Total 83 100%
Table 15
Chart Title
100
80
60
40
20
0
YES NO TOTAL
Frequency Percentage
Graph 15
INTERPRETATION
From the above figure and table, it was observed that 67.1%
of the respondents (57 respondents) disagree to the
statement that humans should be replaced by machines.
50.00%
38.60%
40.00%
31.30%
Percentage
30.00%
21.70%
20.00%
10.00% 7.20%
1.20%
0.00%
1 2 3 4 5
Frequency
Graph 16
INTERPRETATION
From the above figure, it was observed that 38.6% of the
respondants agree to the fact that the youth should perform
voluntary activities in prior to gain experience. To conclude, the
respondants are in favour of the given statement.
Table 17
Development Sectors
17.60%
1
7.10% 2
10.60% 3
64.70% 4
Graph 17
INTERPRETATION
From the figure shown, it was observed that 64.7% of the
respondents felt that all the mentioned sectors, i.e., Agriculture,
health and education sectors should be improved to increase the
generation of employment.
Table 18
INTERPRETATION: From the figure shown below, it was observed that some respondants felt that the
irrigation facilities should be developed, some respondants responded that advancements should be
made in technology and some responded that there should be rapid industrial growth, in order to reduce
unemployment.
Graph 18
19. On a scale of 1 to 5, how much do you think that the Government is helping to
reduce unemployment?
Table 19
Government Support
35.00%
29.60%
30.00%
5.00%
0.00%
1 2 3 4 5
Graph 19
INTERPRETATION
From the figure shown, it is observed that 29.6% of the respondants were neutral
about the Government's support towards reducing unemployment. This shows
that the respondents wish to see more support from the Government towards
reducing unemployment and providing a platform for the youth to start their
professional careers.
Table 20
How to reduce unemployment?
11.80% 5.80%
8.20%
7.10%
67.10%
Graph 20
INTERPRETATION
From the given figure, it is observed that 67.1% of the respondants feel that all
the mentioned methods, i.e., encouraging startups, proper economic planning,
availability of resources, conducting skill development programs are required to
reduce unemployment.
INFERENTIAL STATISTICS
t-Test: Two-Sample Assuming Unequal Variances
Variable
Variable 1 2
Mean 3.341176471 3.6
1.38571
Variance 0.417927171 4
Observations 85 85
Hypothesized Mean
Difference 0
df 130
t Stat -1.776798232
P(T<=t) one-tail 0.038970129
t Critical one-tail 1.656659413
P(T<=t) two-tail 0.077940259
t Critical two-tail 1.978380405
HYPOTHESIS
H0: There is no significant relationship between influence of past
education on getting a job and highest level of study.
H1: There is a significant relationship between influence of past
education on getting a job and highest level of study.
INTERPRETATION
After performing t-test on the responses, the p-value is 0.077. Since the
p-value is less than value of significance (0.5), null hypothesis is
accepted. Hence, there is no significant relationship between influence
of past education on getting a job and highest level of study.
z-Test: Two Sample for Means
Variable Variable
1 2
1.84523 1.88095
Mean 8 2
Known Variance 50 30
Observations 84 84
Hypothesized Mean Difference 0
Z -0.0366
0.48540
P(Z<=z) one-tail 3
1.64485
z Critical one-tail 4
0.97080
P(Z<=z) two-tail 7
1.95996
z Critical two-tail 4
HYPOTHESIS
H0: There is no significant relationship between age and working status.
H1: There is a significant relationship between age and working status.
INTERPRETATION
After performing z-test on the responses, the p-value is 0.97. Since the p-
value is greater than the value of significance (0.5), null hypothesis is rejected.
Hence, there is a significant relationship between age and working status.
DESCRIPTIVE STATISTICS TEST
Column1 Column2
2.33333333 3.01176
Mean 3 Mean 5
0.11528772 0.13336
Standard Error 8 Standard Error 2
Median 2 Median 3
Mode 3 Mode 3
1.05662948 1.22953
Standard Deviation 3 Standard Deviation 8
1.11646586 1.51176
Sample Variance 3 Sample Variance 5
-
1.26669767
Kurtosis 9 Kurtosis -0.8631
0.04417334
Skewness 2 Skewness 0.17393
Range 3 Range 4
Minimum 1 Minimum 1
Maximum 4 Maximum 5
Sum 196 Sum 256
Count 84 Count 85
HYPOTHESIS
31.0421
Column 1 20 338 16.9 1
44.4710
Column 2 20 351 17.55 5
ANOVA
Source of Variation SS Df MS F P-value F crit
1153.47 60.7092 0.00173 2.16825
Rows 5 19 1 4.10088 1 2
0.28539 0.59938
Columns 4.225 1 4.225 7 1 4.38075
14.8039
Error 281.275 19 5
1438.97 0.60111
Total 5 39 2
HYPOTHESIS
H0: There is no significant relationship between reasons to change job
and issues faced by youth due to unemployment.
H1: There is a significant relationship between reasons to change job
and issues faced by youth due to unemployment.
INTERPRETATION
After performing ANOVA Two Factor without Replication, the p-value is
0.60. Since the p-value is greater than the value of significance (0.5),
null hypothesis is rejected and there is no relationship between reasons
to change a job and issues faced by youth due to unemployment.
REGRESSION
CHAPTER 5
17. Which sector should be developed primarily for the rise of employment?
(a) Education Sector
(b) Health Sector
(c) Agriculture Sector
(d) All of the above
18. On a scale of 1 to 5, how much do you think the below facilities should
be improved?
1 2 3 4 5
Irrigation o o o o o
facilities
Technolog o o o o o
y
Industrial o o o o o
Growth
The link of the Google Form created for this questionnaire is given
below:
https://docs.google.com/forms/d/17byz31KoMKN9b5AILFYQwHJK
YfiRssb19iX_IMG2Z7U/edit?usp=drivesdk