| Literature DB >> 35754756 |
Boopathy Nisha1, Shikha Shajil1, Ruma Dutta1, Timsi Jain1.
Abstract
BACKGROUND: The increased use of electronic devices has caused a rise in the generation of e-waste, which is detrimental to the environment and human health. This study aimed to assess consumer awareness, perception, and disposal methods of e-waste management and its determinants in a semi-urban area of northern Tamil Nadu.Entities:
Keywords: E-consumers; e-waste management; perceptions; unsafe disposal
Year: 2022 PMID: 35754756 PMCID: PMC9221227 DOI: 10.4103/jfcm.jfcm_318_21
Source DB: PubMed Journal: J Family Community Med ISSN: 1319-1683
Level of knowledge of e-waste handling among consumers
| Knowledge on e-waste handling | Good knowledge | Poor knowledge |
|---|---|---|
| Aware of the term “e-waste or e-waste handling” | 139 (40.5) | 204 (59.4) |
| Aware of ill effects of e-waste on health and environment | 280 (81.7) | 63 (18.3) |
| Aware of e-waste handling before disposal (reuse or donate) | 297 (86.6) | 46 (13.4) |
| Aware of available options for disposal of e-wastes | 220 (64) | 123 (36.1) |
| Aware of e-waste segregation at household level | 327 (95.4) | 16 (4.6) |
| Aware of e-waste legislation available in our country | 71 (20.6) | 272 (79.4) |
Description of the perceptions about e-waste handling among consumers
| Perceptions on e-waste handling | Good perception | Poor perception |
|---|---|---|
| E-waste handling and disposal should be improved in India | 288 (84.0) | 55 (16.0) |
| Storing e-wastes in homes is harmful | 269 (78.3) | 74 (21.7) |
| E-wastes have a harmful effect on environment and human health | 340 (99.1) | 3 (0.86) |
| Increasing global demand on electronic devices is a serious problem | 269 (78.3) | 74 (21.7) |
| Important to recycle e-waste before disposal | 221 (64.6) | 122 (35.4) |
| Electronic devices not working are considered waste | 43 (12.6) | 300 (87.4) |
Figure 1Distribution of disposal methods used by e-waste handlers
Association of independent variables with knowledge and perception of e-consumers
| Independent variable | Subcategory | Awareness | Perceptions | ||
|---|---|---|---|---|---|
|
|
| ||||
| Mean±SD |
| Mean±SD |
| ||
| Age (years) | <35 | 4.01±0.94 | 1.256 | 4.89±1.22 | −0.667 |
| >35 | 3.88±0.89 | 4.98±1.09 | |||
| Gender | Males | 3.86±0.84 | −2.679* | 4.92±1.18 | −0.151 |
| Females | 4.13±1.01 | 4.91±1.18 | |||
| Education | <10th grade | 3.83±0.97 | −2.668* | 4.47±1.40 | −6.877* |
| ≥10th grade | 4.09±0.86 | 5.29±0.78 | |||
| Occupation | Unskilled, students and homemakers | 3.95±0.91 | −2.830* | 4.84±1.18 | −2.321* |
| Skilled and professional | 4.56±1.91 | 5.18±1.12 | |||
| Average income | Annual income <2.5 lakhs | 3.94±0.92 | −0.963 | 4.82±1.19 | −2.644* |
| Annual income >2.5 lakhs | 4.06±0.94 | 5.21±1.11 | |||
*P<0.05 is statistically significant by independent t-test. SD=Standard deviation
Multiple regression analysis results: Factors related to awareness and perceptions of e-consumers
| Independent variable | Awareness | Perceptions | ||
|---|---|---|---|---|
|
|
| |||
| β co-efficient | F | β co-efficient | F | |
| Age >35 years | −0.171 | 2.336 | −0.111 | 0.649 |
| Male: Gender | −0.246 | 5.411* | −0.023 | 0.031 |
| Education: ≥10th grade | 0.276 | 6.373* | 0.852 | 40.04* |
| Occupation: Skilled and professional | −0.201 | 0.320 | −0.758 | 4.337* |
| Average annual income: >2.5 lakhs | 0.220 | 0.172 | 0.702 | 1.155 |
*P<0.05 is statistically significant