THE EFFECTIVENESS OF THE ‘INGAT PESAN IBU’ CAMPAIGN IN CHANGING LATE
ADOLESCENT BEHAVIOR IN THE TOURISM AREAS OF BALI, BANDUNG, AND YOGYAKARTA
A COMPARATIVE ANALYSIS OF WORKING
SCHEDULE CASTE WOMEN AND OTHER WOMEN OF HARYANA ON THE BASIS OF LITERACY RATE
Mona Kumari 1, Dr. Satish Kumar 2
1Research
Scholar, Department of Economics, Indira Gandhi University, Meerpur, Rewari
Haryana, India
2Assistant
Professor, Department of Economics, Indira Gandhi University, Meerpur, Rewari
Haryana, India
ABSTRACT
This paper
represents the comparison between Scheduled Caste working Women and other
Women of Haryana on the basis of literacy rate. The study is based on
secondary data compiled from the Census of Haryana 2011. This paper in
descriptive in nature. Data is processed with simple statistical techniques
such as percentages and correlation. Correlation is calculated between
literacy ratio and working population for SC Women and other Women
populations. A comparison is also made to see if the literacy ratio and working
population correlation exists for other Women and SC Women of Haryana. It is
found in the study that there is a correlation between literacy rate and the
working population of Women in Haryana. Fatehabad, Hisar, Sirsa, Jind and
Bhiwani are the districts of Haryana where high percentage of Scheduled Caste
Women are working whereas in Yamunanagar, Ambala, Nuh, Faridabad, Palwal less
percentage of Scheduled Caste Women are working. If we see overall percentage
working population of Women it is more in Bhiwani, Hisar, Jind, Mahendergarh,
Rewari while it is low in Yamunanagar, Ambala, Faridabad, Nuh, Palwal.
Surprisingly, percentage of working population for Scheduled Castes and
overall, for women are high in Bhiwani, Jind and Hisar districts and low in
Yamunanagar, Ambala, Faridabad, Nuh, Palwal districts of Haryana. In the last
section of this paper, it is highlighted that by considering this fact that
there is some relationship between literacy rate and percentage of working
population, Government may formulate policies in consonance with this factor
which is one of the important determinants of employment in our country.
With the
license CC-BY, authors retain the copyright, allowing anyone to download,
reuse, re-print, modify, distribute, and/or copy their contribution. The work
must be properly attributed to its author.
Keywords: Scheduled Caste, Literacy Ratio, Working Population,
Correlation
1. INTRODUCTION
Literacy is the ability that enables one to read, write,
and speak in order to communicate effectively and meaningfully. Literacy is a
vital element required for the development of a country. Literacy is a key
indicator and a critical determinant for the development of a nation. For
example, Finland, which is a Nordic country, is the most literate nation in the
world and is counted among the top-developed countries. Lack of Literacy keeps
a person back at every stage of life. People with low literacy levels are not
able to read, write, speak, or understand books, newspapers, prices mentioned
in articles, signatures, any agreements or other documents, the time-table of
trains or buses, fill out any form, read instructions anywhere or using the
internet, which is very important in the present day. Every country must
provide its citizens with equal opportunities to get an education so that the
people of that country can become a resource rather than a liability. Data on
Literacy and unemployment shows that most developed countries with high
literacy levels have large working populations and vice versa, and so is also
true in the case of India.
India is a developing country struggling through the
impediments of development, viz., low level of literacy, poverty, high level of
unemployment, inflation and many more. A low level of literacy never lets India
proceed on the path of development by leaps and bounds and results in high
unemployment. Literate people not only can understand and analyse things
accurately but also contribute to the development of their countries by
becoming a part of the working population and adding to the productivity and hence
enhancing GDP.
2. Objective
of the study
The objective of this research paper is to study if there
is any correlation between the literacy rate and the working population of
Scheduled Caste women in Haryana and compare the same with the overall Women
population of Haryana.
3. Methodology
Secondary data has been gathered from various sources like
statistical abstracts of Haryana, various research papers, the census of India,
the internet etc. Comparisons have been made using charts and tables to study
the relationship between literacy level and work participation of Scheduled
Caste women in different sector; Pearson’s correlation is calculated using the
following formula: -
In order to test the significance of the correlation
coefficient the following null (Ho) and alternative (H1) hypotheses are
considered.
Where r is
the population correlation co-efficient between two variables.
The appropriate test statistic to test the above
hypothesis is
The values of the test statistic are given in Table in
result section.
4. Results and
Discussion
To compare the literacy level of SC women in Haryana with
the overall Women literacy level, the data on literacy level is tabulated and
presented through bar diagrams below. The percentage of literate SC Women and
overall Women is worked out with abstract figures.
Table 1
Table 1District Wise Literacy Rate of Women Population in Haryana
Source Compiled from Directorate of Census Operations,
Haryana.2011
Note: The main worker is one who has worked for 183 days
or more in a year in one or more than one economic activity. A person who has
worked for less than 183 days in a year is considered a marginal worker.
Chart 1
The total population, Literacy level and literacy level in
percentage are shown in Table 1 for Scheduled Caste Women and overall Women for
all districts of Haryana. It is clear from the table that more percentage of
Scheduled Caste Women are literate in Mahendergarh, Yamunanagar Rewari,
Jhajjar, and Kurukshetra districts of Haryana. In contrast, less percentage of
Scheduled Caste Women are literate in Faridabad, Gurugram, Panchkula, Panipat
and Palwal districts. The overall percentage of literacy of Women is higher in
Gurugram, Ambala, Panchkula, Faridabad, and Rohtak, while it is low in Nuh,
Palwal, Kaithal, Jind, and Hisar. It can be analysed from here that for those
districts where as percentage of literacy level is low for Scheduled Caste
Women, the overall percentage of literacy level is high and vice-versa.
A comparison is shown with the help of the above bar chart
between the percentage literacy level of Scheduled Caste Women and overall
Women in various districts of Haryana. The difference in percent literacy level
is clear from the chart; in every district, the percentage of Women Scheduled
Caste literacy is far less than the percentage overall Women literacy. In
Faridabad district, the difference in percentage literacy level is maximum
between Scheduled Caste Women and overall Women, whereas this difference is
minimum in Mahendergarh district.
Table 2
Table 2 District Wise Working
population of Women in Haryana
Districts
SC Women population
SC Women working population
SC Women working population (in %)
Overall Women population
Overall Women working population
Overall Women working population (in %)
-1
-2
-3
-4
-5
-6
Ambala
1,39,372
14,440
10.36
5,29,647
52,019
9.82
Bhiwani
1,59,687
36,279
22.71
7,67,773
1,92,328
25.05
Faridabad
1,04,304
12,607
12.08
8,43,623
1,02,296
12.12
Fatehabad
1,35,246
34,217
25.29
4,46,651
1,05,585
23.63
Gurugram
93,605
12,200
13.03
6,97,742
1,12,260
16.08
Hisar
1,91,447
48,282
25.21
8,12,369
2,03,300
25.02
Jhajjar
79,592
12,185
15.30
4,43,738
76,514
17.24
Jind
1,31,411
31,328
23.83
6,21,146
1,55,145
24.97
Kaithal
1,16,027
23,779
20.49
5,03,301
81,203
16.13
Karnal
1,59,923
30,700
19.19
7,07,612
1,04,416
14.75
Kurukshetra
1,01,817
21,014
20.63
4,53,679
68,224
15.03
Mahendergarh
73,894
13,897
18.80
4,35,423
1,05,649
24.26
Nuh
35,508
4,234
11.92
5,18,101
65,322
12.60
Palwal
95,382
12,232
12.82
4,88,211
68,099
13.94
Panchkula
47,962
8,397
17.50
2,61,614
46,614
17.81
Panipat
96,518
16,922
17.53
5,58,580
83,651
14.97
Rewari
87,035
17,151
19.70
4,25,997
1,02,401
24.03
Rohtak
1,01,316
13,096
12.92
4,92,725
73,321
14.88
Sirsa
1,84,951
45,610
24.66
6,12,607
1,32,541
21.63
Sonipat
1,25,419
25,303
20.17
6,68,702
1,32,094
19.75
Yamunanagar
1,43,543
12,715
8.857
5,67,487
46,890
8.262
Total
24,03,959
4,46,588
18.57
1,18,56,728
21,09,872
17.79
Source Compiled from Directorate of Census Operations,
Haryana. 2011
Chart 2
Total population, working population and working
population in percentage is shown in the table no. 2 for Scheduled Caste Women
and overall Women for all districts of Haryana. It is clear from the table that
more percentage of Scheduled Caste Women are working in Fatehabad, Hisar,
Sirsa, Jind and Bhiwani districts of Haryana whereas less percentage of
Scheduled Caste Women are working in Yamunanagar, Ambala, Nuh, Faridabad,
Palwal districts. If we see overall percentage working population of Women it
is more in Bhiwani, Hisar, Jind, Mahendergarh, Rewari while it is low in
Yamunanagar, Ambala, Faridabad, Nuh, Palwal. Surprisingly, percentage of
working population for Scheduled Castes and overall
for Women are high in Bhiwani, Jind and Hisar districts and low in Yamunanagar,
Ambala, Faridabad, Nuh, Palwal districts of Haryana.
A comparison is shown with the help of the above bar chart
between the percentage working population of Scheduled Caste Women and the
overall working population of Women in various districts of Haryana. The
difference in the percentage of the working population is clear from the chart;
in every district, the percentage of the Women Scheduled Caste working
population is far less than that of the overall Women working population. In
Faridabad district, the difference in percentage literacy level is maximum between
Scheduled Caste Women and overall Women, whereas this difference is minimum in
Mahendergarh district.
Table 3
Table 3District
Wise Classification of SC Women Working Population
District
Cultivator
Agricultural Labour
Household industry
Other worker
Main worker
Marginal Workers
Total workers
Non-Workers
(1)
(2)
(3)
(4)
(5) =1+2+3+4
(6)
(7) =5+6
(8)
Ambala
319
2,130
295
6,290
9,034
5,406
14,440
1,24,932
Bhiwani
2,390
6,096
295
5,237
14,018
22,261
36,279
1,23,408
Faridabad
223
694
413
6,669
7,999
4,608
12,607
91,697
Fatehabad
1,649
8,052
274
5,604
15,579
18,638
34,217
1,01,029
Gurgaon
201
985
333
6,048
7,567
4,633
12,200
81,405
Hisar
2,382
12,520
540
7,778
23,220
25,062
48,282
1,43,165
Jhajjar
420
1,622
111
3,252
5,405
6,780
12,185
67,407
Jind
1,028
7,051
238
4,938
13,255
18,073
31,328
1,00,083
Kaithal
367
4,558
373
4,143
9,441
14,338
23,779
92,248
Karnal
804
6,726
434
6,739
14,703
15,997
30,700
1,29,223
Kurukshetra
201
5,573
231
5,707
11,712
9,302
21,014
80,803
Mahendragarh
350
745
76
2,689
3,860
10,037
13,897
59,997
Nuh
159
309
70
1,201
1,739
2,495
4,234
31,274
Palwal
506
1,538
141
2,626
4,811
7,421
12,232
83,150
Panchkula
295
556
200
5,034
6,085
2,312
8,397
39,565
Panipat
319
2,351
456
6,568
9,694
7,228
16,922
79,596
Rewari
349
1,005
310
5,194
6,858
10,293
17,151
69,884
Rohtak
369
1,960
228
5,188
7,745
5,351
13,096
88,220
Sirsa
2,227
12,027
492
6,925
21,671
23,939
45,610
1,39,341
Sonipat
469
4,894
301
6,159
11,823
13,480
25,303
1,00,116
Yamunanagar
259
1,944
357
4,903
7,463
5,252
12,715
1,30,828
Total
15,286
83,336
6,168
1,08,892
2,13,682
2,32,906
4,46,588
19,57,371
Source Compiled from Directorate of Census Operations,
Haryana. 2011
Note: The main worker is one who has worked for 183 days
or more in a year in one or more than one economic activity. A person who has
worked for less than 183 days in a year is considered a marginal worker.
The above table shows the distribution of scheduled caste
Women working population among various categories. This distribution is
presented here to understand the nature of the working population of scheduled
caste Women, and the data of non-workers is also presented in the table. From
this table, with the help of a bar chart, we can analyse that the maximum Women
scheduled caste workers are agricultural workers in Hisar, Sirsa, Fatehabad,
Jind and Karnal.
Chart 3
This chart presents the district-wise classification of
the Scheduled Caste Women working population divided into various categories
like cultivator, agricultural labour, household workers and other workers. The
chart clearly shows that in Hisar and Sirsa, most of the workers are engaged in
agricultural work as labour. The share of Agricultural labour and other workers
is maximum in all districts of Haryana.
Table 4
Table 4District Wise Classification of Overall Women Working Population in
Haryana
District
Cultivator
Agricultural Labour
Household Industry
Other Workers
Total=Main +Marginal
-1
-2
-3
-4
-5
Ambala
3,457
7,701
2,810
38,051
52,019
Bhiwani
1,04,093
37,451
5,700
45,084
1,92,328
Faridabad
4,872
7,281
6,736
83,407
1,02,296
Fatehabad
40,192
34,903
2,325
28,165
1,05,585
Gurgaon
14,204
7,984
4,464
85,608
1,12,260
Hisar
95,335
54,330
4,310
49,325
2,03,300
Jhajjar
31,098
13,669
2,638
29,109
76,514
Jind
79,677
38,806
2,743
33,919
1,55,145
Kaithal
23,672
26,789
3,068
27,674
81,203
Karnal
15,785
38,166
4,155
46,310
1,04,416
Kurukshetra
5,442
26,002
2,119
34,661
68,224
Mahendragarh
60,638
16,977
2,509
25,525
1,05,649
Nuh
27,218
19,018
2,182
16,904
65,322
Palwal
21,655
21,794
2,258
22,392
68,099
Panchkula
7,397
2,852
2,806
33,559
46,614
Panipat
14,382
17,952
4,596
46,721
83,651
Rewari
36,492
12,619
4,396
48,894
1,02,401
Rohtak
22,819
9,963
2,973
37,566
73,321
Sirsa
40,826
49,227
4,030
38,458
1,32,541
Sonipat
39,233
34,814
6,482
51,565
1,32,094
Yamunanagar
3,192
8,594
2,447
32,657
46,890
Total
6,91,679
4,86,892
75,747
8,55,554
21,09,872
Source Compiled from Directorate of Census Operations,
Haryana. 2011
Note: The main worker is one who has worked for 183 days
or more in a year in one or more than one economic activity. A person who has
worked for less than 183 days in a year is considered a marginal worker.
The above table shows the overall Women working population
distribution among various categories. This distribution is presented here to
understand the nature of the working population of overall Women. From this
table, with the help of a bar chart, we can analyse that in Bhiwani, Fatehabad,
Hisar, Jind, and Mahendergarh maximum Women workers are cultivators.
The chart below presents the district-wise classification
of the overall Women working population divided into various categories like
cultivator, agricultural labour, household workers and other workers. The chart
clearly shows that in Palwal and Sirsa, most Women workers are household
workers. The share of cultivators and other workers is maximum in almost all
districts of Haryana.
Chart 4
Table 5
Table 5Correlation between Literacy Rate and Women Working Population
Districts
Literacy rate of overall Women
Working population of overall Women
Literacy rate of SC Women
Working population of SC Women
-1
-2
-3
-4
Ambala
3,56,737
52,019
54,139
14,440
Bhiwani
4,26,713
1,92,328
59,890
36,279
Faridabad
5,37,799
1,02,296
16,073
12,607
Fatehabad
2,30,107
1,05,585
44,247
34,217
Gurgaon
4,72,450
1,12,260
23,918
12,200
Hisar
4,44,111
2,03,300
60,152
48,282
Jhajjar
2,76,611
76,514
32,311
12,185
Jind
3,30,709
1,55,145
45,633
31,328
Kaithal
2,60,747
81,203
38,712
23,779
Karnal
4,13,497
1,04,416
56,238
30,700
Kurukshetra
2,76,065
68,224
40,869
21,014
Mahendragarh
2,49,815
1,05,649
33,358
13,897
Nuh
1,46,462
65,322
11,893
4,234
Palwal
2,20,100
68,099
28,834
12,232
Panchkula
1,75,456
46,614
13,343
8,397
Panipat
3,22,463
83,651
28,994
16,922
Rewari
2,61,494
1,02,401
35,941
17,151
Rohtak
3,11,557
73,321
31,198
13,096
Sirsa
3,25,929
1,32,541
58,001
45,610
Sonipat
4,08,435
1,32,094
44,594
25,303
Yamunanagar
3,57,664
46,890
61,290
12,715
Total
68,04,921
21,09,872
8,19,628
4,46,588
Source: Compiled from Directorate of Census Operations,
Haryana. 2011
Chart 6
Chart 7
Table 6
Table 6Correlation Matrix for
Literacy rate and working population of Women in Haryana
Literacy Rate
Literacy Rate (SC)
Working population
.516
----
Working Population
(SC)
----
.738
In order to know if there is any correlation between
literacy rate and the working population in various districts of Haryana, a
coefficient of correlation is obtained for both the sets of data, i.e. for the
Scheduled caste Women population and the overall Women population.
The table represents the correlation coefficient value
between two variables, i.e. Literacy rate and Working population of SC Women
and overall Women in Haryana.
Table 7
Table 7Test Statistic for
Testing the Significance of Correlation Coefficient
Relation between
R
t-ratio
Literacy Rate and Working population
.516
9.371
Literacy Rate and Working Population (SC)
.738
4.108
The results of the test shows that there exists
significant positive relationship between Literacy Rate and Working population
of Scheduled caste Women and there is also a positive correlation between
Literacy rate and working population of over all Women in all districts of
Haryana.
5. Conclusion
From the above analysis, it is clear that there is a
strong positive correlation between the literacy rate of SC women and their
working population in all districts of Haryana. There is also a positive
correlation between the literacy rate and the working population of overall
Women in Haryana. It may be concluded from here that as women get literate,
they get employment; however, education is not the only factor responsible for
getting employment, but it may prove one of the significant factors that may bring
some improvement in employment and economic conditions of women especially SC
women in Haryana. Further, the government should take more solid steps and
dedicated efforts to make SC women literate and educated to get employment and
improve their status.