A survey and statistical analysis of the awareness, practice, attitude, and the satisfaction of the public towards household solid waste management across major cities in India.
Abstract
The paper focuses on the awareness and the attitudes of the respondents across various
demographic, and socioeconomic variables in the major cities of India. The data
were collected using a descriptive survey questionnaire. The survey was conducted
by undergraduate students under supervision to give a first-hand understanding
of the subject, enabling them to put their learnings into practice and gain new
research skills in the field of environment. The findings aim at simplifying
the awareness of the public on solid household waste management, and in addressing
the grievances related to open dumping grounds in their vicinity. The collected
data were inferred using frequency, percentage, chi-square, descriptive statistical
analysis and correlations tests. The study shows a significant relationship
between awareness, practice, and attitudes (APA) to age, gender, occupation and
the source of information to the respondents. The study aims to investigate and
comprehend the factors that facilitate the knowledge and participation of the
respondents. Moreover, their satisfaction level and willingness to participate in
paying their services towards waste management. The findings of the paper validate
the importance of awareness through education, campaigns and media in people’s awareness
on waste segregation and recycling, and in leading their behavior towards
waste disposal, and willingness to participate in various solid-household waste
(SHW) awareness programs.
Keywords: Awareness,
Solid-household waste, Waste segregation, Pearson test, Spearman test.
1. Introduction
In
the rapidly urbanized cities in developing countries, it is important to
address the problem of solid-household waste management (SHWM) (Song, Wang et al. 2016). The management
of solid-household waste remains to be a challenge and needs improvements. In
the study conducted by the Centre for Science and Environment (CSE), in India, an
urban population of 377 million people generates 62 million tonnes (mt) of solid
waste annually. Only 43 mt of solid waste is collected, out of which 12 mt is
treated and the rest stays in the dumping sites (Down to Earth newsletter, 2017).
With the rapid growth in the population and urbanization, this is likely to be upshot
by 3.4 billion tonnes in 2050 (Singh 2020). Due to improper
management of the waste, it has sent the public health and the environment of
the cities to peril. In addition, open dumping and landfills are common in
India. This has negatively affected the health of the residents and their
surrounding environment living close to these regions. The generation of solid-household
waste depends on various factors, including population, incomes, and changing
consumption patterns (Singh 2020), which is reflected
in the awareness, attitude and willingness of the people in segregating the
waste at the source and recycling it. Segregation of the waste at the source
and ensuring that it goes through different streams of recycling, recovering
and reprocessing, is the key to efficient solid waste management (Down to Earth
newsletter, 2017).
Several
works of literature have reported people’s attitude, awareness and practice towards
waste management through surveys. Sarbassov et al., 2019, have surveyed household-solid
waste and investigated the behavioral attitudes of the citizens of Nur-Sultan
city of Kazakhstan towards its management. The result showed 24 % of the
respondents were involved in waste sorting (Sarbassov, Sagalova et al. 2019). In another
survey-based study, Song et al., 2016 (Song, Wang et al. 2016) discussed and
analyzed residents’ attitudes and willingness to pay for solid waste recycling
in Macau, China. Results showed 96 % of the respondents were willing to sort the
solid waste at home. The results were important in understanding the attitudes
of the residents for the policymakers and managers in promoting the recycling
of the waste. Yet in another study, Warunasinghe et al., 2016 (Warunasinghe and Yapa 2016) examined the
willingness of the people’s participation in the upgraded program and the level
of awareness on household solid waste management at peri-urban areas in
Columbo, Sri Lanka. The survey showed 26 % of the respondents were not aware of
the recycling practices, while 96 % agreed to co-operate by participating in
the waste awareness programs. Similarly, Indira et al., 2015 (Indhira, Senthil et al. 2015) study the
attitude and awareness of the people in understanding the behavioral pattern
of the people towards household solid waste management.
The
present study dissects the findings similar to the previously reported
literature on the relevance, importance and impacts of people’s awareness,
practice, and attitude in the selected cities in India in response to the
demographic variables age, sex, education and occupation. The cities were
selected randomly from where the students belonged namely Delhi, Kolkata,
Ghaziabad, Noida, Bhopal, Indore, and Patna. The study aims at giving the first-hand
experience to the students on conducting surveys by collecting the data on
environmental awareness. Second, it aims at simplifying an understanding of the
demographic impacts on the attitudes, practice. It explains the public
awareness and willingness towards waste management. It also offers understanding
and recommendations that will help the policymakers and managers in improvising
the sorting, segregation and recycling of the solid-household waste management (Madrigal and Oracion 2017).
2. Methodology
Two
hundred eighty-eight (288) respondents from major cities across India participated
in the survey. The sampling method was ‘random’. Based on the previously reported
surveys (Asuamah, Kumi et al. 2012, Babaei, Alavi et al. 2015) and research papers, the
questionnaires were prepared by the undergraduate students in supervision. The
questionnaire contained 48 variables, which are divided into 13 sections (questionnaire
attached). It contained questions about their knowledge, practice and attitude
towards waste management. These questions were broadly categorized into demographic
information which included age, gender, occupation and source of information,
and the second part included information on SHW separation, recycling,
collection, of solid waste (Table 1 and 2). The data were assessed and analyzed
using descriptive statistics, frequency and percentage, correlation, and
non-parametric statistical tests. The survey data were coded and transferred
into SPSS (IBM SPSS data analyzer) and were analyzed. The sample size was
collected at a 95 % confidence level. The mean (M), standard deviation (SD),
frequency and percentage were used to analyze the degree and extent of the 1) awareness,
2) practice and 3) attitude (APA) in the respondents based on their i) age, ii)
gender, iii) occupation, and iv) source of information. The Chi-square value (χ2)
test was used to compare the categorical variables. Moreover, Karl Pearson
correlation (r) and Spearman correlation coefficient (ρ) were used to evaluating
the strength of the linear relationship between continuous variables and the relationship
between the variables taken on the ordinal scales, respectively. However, the
existence of a correlation value between two variables may, may not explain the
causation between them. Thus, the correlation coefficient measured the strength
of the relationship between two variables, which may/may not have cause-effect.
While comparing most of the variables it was not clear whether their scatter
plot was linear or monotonic. Hence, to validate the relationship between two
variables both Pearson and Spearman tests were conducted.
3. Results
and Discussions
In
the current study, age has been taken as an independent factor in analyzing the
APA of the respondents. The demographic distribution of the age, gender,
occupation, and source of the information is given in table 1 and figure 1. The
survey contained 105 (~36 %) males and 184 (64 %) females in 289 respondents. The
respondents were divided into different age groups, and occupations (Table 1,
Figure 1). ~60 % of the respondents are students/researchers (~71 %) belonging
to the age group of 19-28 yrs, which is followed by 58 % of respondents as job
holders ( ~20 %) in the same age group (Figure 2). 97 % of the respondents were
homemakers ( ~8 %), followed by ~47 % as job holders in the age >28 yrs. Moreover,
in the age group of 13-18 yrs, all the respondents were students (~36 %) (Figure
2). The source of information on waste management for ~50 % of respondents
comes from the educational institute, ~30 % from the media (traditional,
social, mass media), ~9 % from drives, campaigns, and awareness programs, and
the remaining ~4 % have obtained information from other sources which include
NGOs, friends, peers etc. (Table 1, Figure 1).
Table
1. Frequency and percentage of the characteristic variables of the respondents.
|
Demographic characteristics |
Frequency |
Percent |
Total |
|
|
i.
Gender |
Male |
105 |
36.3 |
289 (100%) |
|
Female |
184 |
63.7 |
||
|
ii.
Age |
13-18 |
63 |
21.8 |
288 (99.7%) |
|
19-28 |
172 |
59.5 |
||
|
>28 |
53 |
18.3 |
||
|
iii.
Occupation |
Student/Researcher |
205 |
70.9 |
289 (100%) |
|
Job |
59 |
20.4 |
||
|
Home-maker |
23 |
8.0 |
||
|
iv.
Source of Information |
Educational Institute
(School/College/Research) |
145 |
50.2 |
265 (91.7%) |
|
Drives and Campaigns |
26 |
9.0 |
||
|
Media (Social, Traditional, Mass
Media) |
83 |
28.7 |
||
|
Others |
11 |
3.8 |
||
Figure 1. Pie-chart percentage distribution of the respondents in the following demographic variables: a) age, b) Occupation and c) Source of Information
Table 2. Structure of the Questions
|
Components |
Questions |
Question Nos. |
|
1.
Awareness |
Types
of waste generated |
Q5 |
|
Do
you recycle and reuse |
Q10 |
|
|
Are you aware of any open landfill/dumping site in/close to the vicinity |
Q11 |
|
|
2.
Practise |
Do
you have a separate bin for the dry- and wet-waste |
Q6 |
|
The
type of container used for collecting waste |
Q7 |
|
|
How
often do you empty your bins |
Q8 |
|
|
Where
do you dump your waste |
Q9 |
|
|
3.
Attitude |
Problems
faced by open dumping sites |
Q12 |
|
Satisfaction
level with the MCD services |
Q13 |
|
|
Willingness
to participate in the awareness campaigning |
Q14 |
Table 3. Descriptive statistical values for the variables a) frequency (N), b) mean (M), and c) standard deviation (SD).
|
Variables |
a)
N |
b)
M |
c)
SD |
|
Age |
288 |
1.9653 |
.63480 |
|
Gender |
289 |
1.6367 |
.48179 |
|
Occupation |
287 |
1.3659 |
.62742 |
|
Source of information |
265 |
1.8491 |
1.00371 |
|
Q5 |
287 |
2.9582 |
2.13160 |
|
Q6 |
289 |
1.2941 |
.48591 |
|
Q7 |
289 |
2.1107 |
.63590 |
|
Q8 |
289 |
1.5017 |
.92092 |
|
Q9 |
289 |
1.6713 |
.82868 |
|
Q10 |
289 |
1.5329 |
.67169 |
|
Q11 |
289 |
1.6920 |
.64976 |
|
Q12 |
143 |
2.6573 |
1.23394 |
|
Q13 |
276 |
1.4312 |
.59602 |
|
Q14 |
289 |
1.7024 |
.95817 |
|
Valid N (listwise) |
132 |
|
|
Figure 2. Bar-graph showing occupation-wise percent distribution of the different age groups of the respondents.
Table
4 shows the variation in correlation coefficients, chi-square values in the
respondent's answers to awareness, practice and attitude (APA) based on their demographic
characteristics i.e. age, gender, occupation and source of information. ~72 % and
~70 % of the respondents indicated their practice and awareness on using
separate bins, and recycling and reusing waste, respectively. It is noteworthy
that women have been more effective as compared to men in the separation,
recycling and reusing (women, ~61 %; men, 49 %; χ2 =1.267), as well
as their willingness (women, ~59 %; men, 52 %, χ2 =4.535) in
participating in SHW management programs (Figure 4). Moreover, the r (recycle-reuse:
0.052, p<0.044; willingness: 0.199, p<0.025) and ρ correlation
coefficient (recycle-reuse: 0.124, p<0.035; willingness: 0.052, p<0.022) values
show the existence of the relationship between these two variables (Table 4). This
observation is consistent with the previously reported works (Nixon and Saphores 2009, Babaei, Alavi et al. 2015). This is reasonable as the women
take responsibility for the domestic household. Thus, educating women can be
suggested as the potential area for enhancing their awareness and practice on
recycling, reduction and managing SHW. In terms of giving away the waste, men gave
it to the municipal corporation disposals (MCD) (men, ~64 %; women, 46 %) and
women preferred giving it away to the dedicated waste collectors (women, 39 %;
men, 20 %).
This
affirms the pivotal role of educational institutes in environmental education
and sustainability. Thus, through non-academic courses, academic institutes can
raise awareness in the students, teaching, and non-teaching staff. Moreover,
they can transcend boundaries from college learning to creating public awareness
and citizens' encouragement and help them mitigate the problem of household
waste management. The drives, campaigns, and waste management programs are the
potential areas that can raise awareness amongst people’s attitudes and
willingness in managing their wastes.
In
the current study, occupation also showed imperative prediction on the
knowledge and attitude towards SHW. Amongst occupations, students were more
aware (64 %) than jobholders (~39 %) and homemakers (~39 %). Moreover, students
(~75 %) showed a significant percentage towards practicing source separation as
compared to jobholders (~65 %) and home-makers (~61 %) (Table 4, Figure 5). This
again validates the importance and efficiency of the role of educational institutes
in creating awareness and motivating respondents towards solid waste
management.
Several
studies have been conducted to find the impact of demographics characteristics
on APA. While conducting investigations, most of the demographic variables
found a poor correlation to APA. However, some of the variables that reported a
high correlation coefficient do not necessarily mean that a meaningful
conclusion or cause-effect can be drawn. For instance, sources of
information derived from educational institutes provided a significant
correlation (r, 0.172, p<0.005) and set of the cluster (χ2,
17.687) towards practicing the frequency of emptying the dustbins (Table 4). However,
the exact impact of education here remains unclear. Also, sources of
information derived from an educational institute with a poor correlation
coefficient (r, 0.061, p<0.322) on the contrary reported a significant
percentage (~64 %) (Figure 6) of respondents towards practicing source
separation (using separate bins). This can be attributed to the education
enabling the development of the knowledge that enhances the responsibility
towards SHW management. However, the source of information had little or no
impact on the significance of the respondents to their willingness in
participating in awareness programs on SHW.
On
the percentage satisfaction levels of the respondents towards MCD services, the
majority of respondents (~62 %) showed that they were satisfied.
Figure
3. Percent relationship of the age of respondents in A) awareness, B)
practice, and C) attitude towards solid-household waste management
Figure 4. Percent relationship of the gender of respondents in, A) awareness, B) practice and C) attitude towards solid-household waste management
Figure 5. Percent relationship of the occupation of respondents in A) awareness, B) practice and C) attitude towards solid-household waste management
Figure 6. Percent relationship of the source of information of respondents in A) awareness, B) practice and C) attitude towards solid-household waste management
*MCD- Municipal Corporation Development
Table 4. Correlation and variation in the respondent's
answers to awareness, practice and attitude based on their age, gender,
occupation and source of information
|
Question |
Demographic Characteristics |
Groups |
Variables
(%) |
Chi-square
value χ2 |
Pearson
Correlation coefficient r |
Significance (2
tailed) p-value |
Spearman
Correlation coefficient ρ |
Significance (2
tailed) p-value |
|||
|
Awareness |
|||||||||||
|
|
|
|
Yes (%) |
No (%) |
Can’t say (%) |
|
|
|
|
|
|
|
Do you recycle and, or reuse? |
Age |
13-18 |
67 |
25 |
8 |
12.934 |
0.166 |
0.005 |
0.18 |
0.002 |
|
|
19-28 |
60 |
30 |
10 |
||||||||
|
>28 |
35 |
51 |
13 |
||||||||
|
Gender |
Male |
49 |
39 |
12 |
4.535 |
0.199 |
0.044 |
0.124 |
0.035 |
||
|
Female |
61 |
30 |
9 |
||||||||
|
Occupation |
Student/Researcher |
64 |
28 |
7 |
18.141 |
0.198 |
<0.001 |
0.230 |
<0.001 |
||
|
Job |
39 |
42 |
19 |
||||||||
|
Homemaker |
39 |
52 |
9 |
||||||||
|
Source of Info. |
Educational institute |
59 |
28 |
12 |
5.691 |
- |
- |
- |
- |
||
|
Drives/Campaigns |
65 |
35 |
0 |
||||||||
|
Media |
57 |
34.5 |
10 |
||||||||
|
Others (friends, peers, NGOs.) |
64 |
36.4 |
0 |
||||||||
|
Practice |
|||||||||||
|
|
|
|
Yes (%) |
No (%) |
Don’t know (%) |
|
|
|
|
|
|
|
Do you have separate bins? |
Age |
13-18 |
67 |
25 |
8 |
12.221 |
- |
- |
0.129 |
0.028 |
|
|
19-28 |
60 |
30 |
10 |
||||||||
|
> 28 |
36 |
51 |
13 |
||||||||
|
|
|
|
MCD (%) |
Dedicated waste collector (%) |
Community bins (%) |
Just throw them away (%) |
|
|
|
|
|
|
Where do you dump your waste? |
Gender |
Male |
64 |
20 |
12 |
4 |
11.874 |
- |
- |
- |
- |
|
Female |
46 |
39 |
11 |
4 |
|||||||
|
|
|
|
Yes (%) |
No (%) |
Don’t know (%) |
|
|
|
|
|
|
|
Do you have separate bins? |
Occupation |
Student/Researcher |
70 |
30 |
0 |
19.554 |
- |
- |
- |
- |
|
|
Job |
65 |
10 |
5 |
||||||||
|
Homemaker |
61 |
35 |
4 |
||||||||
|
|
|
Daily (%) |
Alternately (%) |
Random (%) |
Never (%) |
|
|
|
|
|
|
|
How often do you empty your dustbins? |
Source of Info. |
Educational institute |
76 |
13 |
10 |
3 |
17.687 |
0.172 |
0.005 |
0.134 |
0.030 |
|
Drives/Campaigns |
69 |
12 |
8 |
12 |
|||||||
|
Media |
71 |
11 |
7 |
12 |
|||||||
|
Others (friends, peers, NGOs.) |
36 |
27 |
9 |
27 |
|||||||
|
Attitude |
|||||||||||
|
|
|
|
Yes (%) |
No (%) |
Maybe (%) |
Want to but busy (%) |
|
|
|
|
|
|
Willingness to participate in the
awareness program on solid-household waste management. |
Age |
13-18 |
57 |
9 |
29 |
5 |
3.321 |
- |
- |
- |
- |
|
19-28 |
59 |
9 |
23 |
9 |
|||||||
|
>28 |
49 |
11 |
28 |
11 |
|||||||
|
Gender |
Male |
52 |
10.5 |
29 |
9 |
1.267 |
-0.052 |
0.025 |
-0.056 |
0.022 |
|
|
Female |
59 |
9 |
24 |
9 |
|||||||
|
Occupation |
Student/Researcher |
58 |
8 |
27 |
7 |
5.772 |
- |
- |
- |
- |
|
|
Job |
58 |
13 |
19 |
14 |
|||||||
|
Homemaker |
43.5 |
13 |
30 |
13 |
|||||||
|
Source of Info. |
Educational institute |
62 |
18 |
9 |
10 |
9.289 |
- |
- |
- |
- |
|
|
Drives/Campaigns |
61.5 |
28 |
4 |
10 |
|||||||
|
Media |
52 |
29 |
12 |
7 |
|||||||
|
Others (friends, peers, NGOs.) |
64 |
36 |
0 |
0 |
|||||||
4. Conclusion
The survey has successfully assessed the respondent's awareness in terms of
knowledge and information, practice in terms of the extent of sorting,
segregation and recycling waste at source, attitude in terms of extent and
degree of willingness to properly dispose of and to take part in the recycling
programs. Respondent’s knowledge and attitude towards solid-household waste
management are positive and good. The studies also validate the importance of education
and the source of information in dissipating the awareness and information on waste
management. Moreover, the role of women and students is apparent in
solid-household waste management and shows a positive impact on the opportunity
score. Thus, empowering activities that utilize assess to education, dedicated
awareness drives and programs, convenient accessibility to waste disposal bins,
and involvement of women and students in waste management training programs will
help at building more sustainable household waste management activities. This
will help in bringing the change for a good living environment.
5. Acknowledgement
The
group of 1st-year students namely Aehsaas Roy, Nisha Singh, Preksha
Jain, Samishtha Pandey, Shraddha Agarwal, Shruti Srivastava, Tridha Patta, Ria
Chauhan, Shivam Rathi, Priya Sharma, Preksha Uniyal, Akshara Sateesh, Mahima
Chaudhary and Kiran Rawal are greatly acknowledged for conducting the surveys. The
support of the Department of Environmental Studies, Shaheed Rajguru College of
Applied Sciences for Women is greatly acknowledged. Special thanks to the
teacher in charge Dr. Rekha Mehrotra and the principal Dr. Payal Mago for their
constant support and motivation.
6. References:
Asuamah, S. Y., et
al. (2012). "Attitude toward recycling and waste management." Science
Education Development Institute 2:
158-167.
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waste management." Resources, Conservation and Recycling 102: 94-100.
Indhira, K., et al. (2015).
"Awareness and attitudes of people perception towards to household solid
waste disposal: Kumbakonam Town, Tamilnadu, India." Archives of Applied
Science Research 7(3): 6-12.
Madrigal, D. V. and E. G. Oracion
(2017). "Solid Waste Management Awareness, Attitude, and Practices in a
Philippine Catholic Higher Education Institution." Recoletos
Multidisciplinary Research Journal 5(2).
Nixon, H. and J.-D. M. Saphores
(2009). "Information and the decision to recycle: results from a survey of
US households." Journal of Environmental Planning and Management 52(2): 257-277.
Sarbassov, Y., et al. (2019).
"Survey on household solid waste sorting at source in developing
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11(22): 6496.
Singh, S. (2020). "’ Solid
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Research Foundation.
Song, Q., et al. (2016).
"Residents’ Attitudes and Willingness to Pay for Solid Waste Management in
Macau." Procedia Environmental Sciences 31: 635-643.
Warunasinghe, W. A. A. I. and P.
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