3.2. Descriptive Questions
The participants were asked about
how a clear and simple recycling label would change their recycling habit (see Q8,
Table 1). The answers could be: “
it would change dramatically because it is the problem”, “
it will change nothing because they are already clear enough”, “
it won’t change because it is not the problem”, and “
other”. Most of the participants (74%) had the idea that it would influence dramatically their recycling result. So, we infer that label clarity and simplicity is an issue for the end users. Just 17% of the participants find the recycling labels clear enough. Choosing “
other” gave the possibility to add own comments and 32 participants preferred to add their opinion. Between them, five people expressed again but in different words that having a simple and clear indication is useful to increase or refine the result of recycling. Eight answers hint that having clearer labelling could be helpful for multi-component packaging. Three persons wrote that in case of doubt it would be very useful to have recycling indications to refer to. According to two responders, who have double residence in two different cities, the fact that some wastes are managed differently changing municipality is more confusing than the recycling labels. Finally, two people (one female and one male, both resident in an urban context) indicated that, in case of doubt, they refer to an app to find the recycling category.
To find how the answerers of the question above evaluated the “quality of on-pack recycling labels” (a
S question, see Q13,
Table 1), we examined the average of the scores of each answer as the indicator of satisfaction of on-pack labels. The average satisfaction in case of those who have chosen “
it will change nothing because they are already clear enough”, was 7.04 while it was 5.85 for those who felt that “
it would change dramatically because it is the problem”. The average of the scores in case of “other” was 5.68 while for the “
it won’t change because it is not the problem” the average value was 5.77. The average of the scores of the first category, though being in an acceptable range, is not high, and it is even lower in the other three cases. Note that only 22 and 29 participants scored the quality of on-pack sorting and recycling indications with 9 and 10, respectively, highlighting that there is a large margin for improvement in that field.
A descriptive question in the survey (see Q6,
Table 1) asked the participants to describe the quality of their sorted waste. The participants could choose their answer between: “
very high, impossible to improve”, “
high but improvable”, “
medium, as good as possible”, “
perfect for paper”, “
perfect for plastic”, “
perfect for glass & cans”, “
perfect for plastic”, and “
other”.
The majority of the participants declared their waste’s quality as high but improvable, while only 15% find it to be perfect. Nobody chose plastic as their perfect sorted category and only 3 and 5 answers include a perfect paper and glass & cans sorted waste. Fourteen people preferred to express their own idea by filling in the available text box. Among them, four people said they cannot find the sorting indications for the right category to be sorted into. For two participants, distinguishing the indications for plastic packaging is an issue and three others have said that the bio-waste is not differentiated in their zone. Two participants complained about not having the support of other family members in waste sorting.
Another question in the survey asked the participants to score their knowledge about
the reasons for recycling and sorting waste (see Q11,
Table 1). To find out if the quality of segregated wastes (Q6) is related to the awareness about the reason of waste sorting (Q11), we put these two questions in relation. Amongst those declaring their sorted waste as
perfect and not more improvable (78 cases), the scores were 5 and above, with 69 cases scoring with ≥8. The scores of the
high but improvable category (338 cases) started from 3 and encompass 68 cases with scores between 5 and 7 and only two chose 3 and 4. High scores have the absolute majority here as well. The conclusion of the analysis of the relation between these two questions is that awareness about the benefits and reasons of waste sorting and the quality of sorted waste are highly related. This point allows diving more deeply in the perception and awareness about the concept of Circular Economy (CE).
In the survey two different questions were dedicated to the CE: an indirect question in which the habit of reutilisation of some parts of packaging was examined without pointing directly to CE (see Q10,
Table 1) and the second question, in which the participants were asked directly to score their knowledge about CE (Q12,
Table 1).
The answers to the first question were in descriptive form and could be summarised in: “
never”, “
some parts”, “
would like but have not enough room”, and “
other”, which like the previous case gave the possibility to enter proper words. From the results reported in
Figure 5 one can see that more than 75% of the responders have the habit to
reutilise some packs’ parts and those who
never reuse are slightly more than 14%.
Not having enough space in the dwelling is a reason which hinders reutilisation in almost 8% of the cases. Furthermore, of those who preferred to express their own opinion by filling the text box, seven people wrote they reuse when they find the pieces useful while one person wrote that she uses the parts as material to make things at school with children. One person stated that they re-use not only packaging parts but also bread bags from bakery. However, no one in this category said they do not have the habit to reuse, therefore, also the 13 people belonging to this category can be considered amongst those who do reuse.
We examined the gender distribution inside the two categories that
never reuse and
always reuse part of the packaging, to individuate a possible gender dependency. The results are reported in
Figure 5, highlighting some differences between gender percentages. Females’ fraction is in fact higher than males’ fraction among those who have the habit to reuse packaging parts (79% female vs. 69% male), and lower in the case of no reuse (12% female vs. 18% male), although both genders have nearly the same share in both categories (not shown in the figure).
As the next step, the two above-mentioned categories were also analysed in light of a scoring question where the participants were asked to rate their familiarity with the CE concept (see Q12,
Table 1). The second column of the
Table 2 reports the scores given by those who are used to reusing packaging parts, related to their knowledge about CE and the third one contains correspondingly the scores of those who never reuse. From
Table 2, one can see that the average score in the case of being accustomed to reusing is higher than that of “not being”. Low scores in familiarity with CE (≤4) correspond to high possibility to “never reuse”. The situation is reversed in the case of higher scores (first row). Thus, the two concepts of reuse and CE seem related: those who have great knowledge about CE are more prone to reuse than those who do not. To verify this hypothesis, an F-test (to determine the equality or inequality of the variances (σ) of the two samples) was performed, followed by a T-test to determine if the mean values are equal or not. The F-test (see
Table 2) showed the difference of variances, while the T-test (with unequal variance, see again
Table 2, last block) showed that the mean values (μ) are not equal (T-stat > T-Critical), confirming that the knowledge about CE affects performing (or not) reuse of packaging parts.
Another statistical analysis was performed to determine if there was a significant difference between the means of the scores males and females gave to their familiarity with CE within the two previously mentioned groups (see
Table 3). As before, two F-tests were performed to check the equality or inequality of the variances of two sub-groups. The analysis (shown in the second block of
Table 3) rejected the equal variance hypothesis between the sub-groups of those who do reuse (F < F Critical) while confirming it (F > F Critical) in the case of “never reuse”. The
t-tests (see the two last blocks of the
Table 3) showed no significant difference between mean scores between genders within the two groups: women and men who do not reuse have the same knowledge about CE, and the same holds for women/men who reuse parts of packaging.
One of the factors which could influence waste sorting is the accessibility to, and location of, the recycle bins, as also pointed out in [
23]. This factor was investigated through a D question which asked the participants about the “
availability of recycle bins in the proximity of their residence” (see Q28,
Table 1). The answers included “
always available and in my proximity”, “
I am obliged to keep some categories inside my dwelling and bring in for collection times”, “
available but often full”, and “
other” (
Figure 6). Being among the last pages of the survey, this question had a greater number of not given answers (see Q28,
Appendix B). Almost half of the answerers have regular access to recycle bins while around 30% of them find the bins capacity not sufficient, and 17% of participants have no access to recycle bins for some waste types. Amongst the answers in the
other category, the most frequent were those who declared a door-to-door collection system, with their personal bins provided by the local Waste Management Authority. In the second position there were those who stated they have the bins in their own yard but they are shared with other neighbours. Just three cases, those who indicated not to sort waste, have mentioned that in their city/neighbourhood (they all belong to an urban context) the waste sorting system was not active at all.
To find out the impact of residence context on availability of the bins, the above question was investigated more in detail based on the urban context (Q3,
Table 1). Please note that the “
other” and “
not given” answers are not present in the statistics. People living in all considered residence contexts have a regular access to recycle bins with 40% of probability or more. Surprisingly, as it can be seen, the statistics related to the
rural residents showed fewer issues related to recycling bins with respect to
urban and
pre-urban residents (
Table 4).
3.3. Scoring Questions
This section deals mainly with the results of the scoring questions, in some cases with a combination with other question categories, like the previous section.
To investigate a potential, reciprocate impact of the study level (Q4,
Table 1) and familiarity with the reason of waste sorting (Q11,
Table 1), these questions were analysed together. The answers to the question “
study level” were “
high school graduated or student”, “
professional school graduated or student”, “
university student or graduated”, “
PhD and higher”, and “
other”. The first and second answers have been aggregated into a unique new category “diploma or school student”.
As mentioned before and as can also be seen in
Appendix B, Q11, the scores of less than 5 are just five cases. Thus, only high-frequency scores (from 5 on) are reported in
Figure 7. Please note that the colours in each bar show the frequency of answerers with a certain study level, normalised with respect to the total numbers of the participants with the same study level. In other words, the colours show the percentage distribution of same study level in the different scores. As it can be seen, the frequency of all study levels increases, nearly with the same trend, increasing the scores from 5 to 10, and no particular difference could be seen between different study levels in the same score (especially for scores ≥ 8). It can be concluded that no significant dependency exists between the study level and the knowledge about the importance of waste segregation.
To study any differences between the mean values
of the scores given to Q11 by people with different study levels (
, a dedicated analysis of variance was performed. The choice of an ANOVA (and not a
t-test) is driven by the fact that the comparison made here is between more than two groups (three study levels), while the
t-test enables the comparison between two groups. The one-way ANOVA with a significance level α of 5% (see
Table 5) did not show any difference between the mean values of the scores in different study levels (−F Critical < F < F Critical), confirming that no significant dependency between the study level and the knowledge about the importance of waste segregation exists.
In our everyday life, media are one of the most important ways to get information on different topics. The participants were asked to score the information conveyed by media about the correct methods of waste sorting (Q14,
Table 1). Although the overall opinion is rather positive, it is not high: almost 60% of the answerers graded it with medium scores, i.e., 5–7 (see
Figure 8). The remaining 40% are nearly equally distributed between the three upper and four lower scores. The variance of the answers in this case is 3.97, and the average score is 5.89. This addresses the facts that media can still improve a lot in transmitting information relative to waste separation and recycling.
In another scoring question, participants were asked to score the on-pack recycling indications of mono and multi-component packs (Q22 & Q23,
Table 1). As it was expected, single-component packs have greater satisfaction among the answerers (see
Figure 9). The mode in case of multi-component packs was scored at 5, while it was at 7–8 in the case of single-component packs. Comparing the mean values of scores for both products confirms the higher satisfaction of the end users from the single-component recycling indications (6.89 vs. 5.43). To obtain a more quantitative tool to compare globally the answers given for the two different pack types, an ad-hoc weighted score (see
Table 6) was introduced, multiplying each score by its frequency. The weighted scores, with mean values of the scores, also confirm the prevalence of quality of indications of single component packs. The variances of the two categories are rather similar.
As a result of the growing number of persons living alone, the increasing participation of females in different occupations, and changing lifestyle of families, the consumption of ready meals is increasing as well [
43]. Thus, studying the recycling indication of such products seems appropriate. Both
presence and
clarity of the sorting indications (Q24 & Q26,
Table 1) for ready meals were investigated. The results (see
Figure 10) show quite a similar distribution. Both sets of data have their mode at five with a larger tail towards lower scores (1–2). The mean values of the scores in both cases are also very close (5.30 vs. 5.23, see
Table 6) and show the similarity between the distribution of the answers relative to the existence and clarity of ready meal packages. Note, however, that some marginal bias of the scores 1 and 10 is also present.
Considering also the weighted scores, obtained as explained above (see
Table 6), (2624 vs. 2531), both are relatively small (having very close average values), confirming that the presence and clarity of the recycling indications in case of ready meals require additional improvements.
The questions above were repeated for the cosmetics (Q25 & Q27,
Table 1) and the results are showed in
Figure 11. In this case, both charts have their mode at 5 with the difference that
clarity is more peaked than
presence (which can be seen also in smaller variance for scores given to clarity (4.74) with respect to the presence’s scores (5.10) reported in
Table 6. Although the variance of clarity of indications showed a smaller value and thus less distributed scores, the mean values are very close (5.04 vs. 5.06) and thus no significant prevalence of one factor with respect to the other is seen. Again, a bias for the lowest and highest scores is visible, and the scores 1–2 show a much higher frequency than the scores 9–10. The weighted scores (see
Table 6) are again fully comparable (2495 vs. 2451) and are even lower than in the case of the ready meals. This implies that the recycling indications of ready meals satisfy more the consumers than those of cosmetics.
Another set of
S questions asked the participants to evaluate the on-pack recycling indications of packaging made of paper, plastic (vacuum and not), wood, tetra pack type, metal, and glass (Q15–Q21,
Table 1). The modes (see
Figure 12) in case of
glass and
paper are on 8 (left skewed), while it is on 6 in case of
metal packing and both
plastic packaging types, while
wood and
tetra pack have their mode on 5. The weighted scores change from 3150 in case of paper packs (and thus the highest satisfaction among packaging type indications) to 2437 for tetra pack package indications (see the last block of
Table 6), corresponding to the least satisfaction of consumers. Looking at the variances of the scores, in case of
paper packs, the smallest value (4.73) is found, implying that the scores of
paper packs have a smaller spread pattern with respect to
tetra packs which have the highest variance (6.03) and the lowest mean value of scores (5.27) among different package types.