| Literature DB >> 36137076 |
Błażej Przybylski1, Emilia Janeczko2, Marcin Studnicki3, Ernest Bielinis4, Lidia Bielinis5.
Abstract
This article presents the results of a study conducted on Polish university students to verify how they assess the probability of environmental risks and their potential impact on the socio-economic situation in Poland. To this end, 703 students of public universities in Warsaw were asked to complete risk assessment questionnaires. According to the respondents, of all identified types of threats, technological risks were found to be the most probable, with the environmental ones carrying the most significant social and economic impact. Among those risks, climate change was recognised as the most probable, while environmental contamination was perceived as having the strongest potential impact on Poland. No statistically significant differences were found in the views of women and men on the probability of environmental risks and their impact on the country's socio-economic situation. Compared with students of technical and economic faculties, students of natural sciences, education, and nursing assessed the probability of environmental risks and the strength of their potential impact in Poland as much higher. The results of the study can be used to develop a communication strategy dedicated to young people in the education of environmental risks.Entities:
Year: 2022 PMID: 36137076 PMCID: PMC9499236 DOI: 10.1371/journal.pone.0273393
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Cronbach’s alpha for individual types of risks.
| Probability | Impact | ||
|---|---|---|---|
| Scale | Cronbach’s alpha | Cronbach’s alpha | No. of items |
| Economic | 0.624 | 0.541 | 5 |
| Environmental | 0.742 | 0.756 | 6 |
| Geopolitical | 0.725 | 0.794 | 7 |
| Societal | 0.818 | 0.818 | 18 |
| Technological | 0.630 | 0.595 | 3 |
Results of the two-way ANOVA analysis for the probability (P) and the impact (I) for each type of risk for p < 0.05.
| Risks | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Economic | Environmental | Geopolitical | Societal | Technological | ||||||
| Effect | P | I | P | I | P | I | P | I | P | I |
| Gender | 0.249 | 0.873 | 0.219 | 0.456 | 0.004 | 0.564 | 0.120 | 0.466 | 0.064 | 0.182 |
| Field of study | 0.045 | 0.200 | 0.000 | 0.000 | 0.008 | 0.700 | 0.000 | 0.170 | 0.299 | 0.003 |
| Gender*field of study | 0.413 | 0.648 | 0.417 | 0.849 | 0.456 | 0.086 | 0.175 | 0.380 | 0.455 | 0.551 |
Fig 1Average scores for the probability of individual environmental risks and their social and economic impact in Poland.
Fig 2Differences in the assessment of the probability and the potential impact of environmental risks between students of different fields of study.
Note: The letters mark significant differences between the fields of study (based on the Tukey test).
Fig 3The probability of specific environmental risks according to women and men.
Results of the two-way ANOVA for probability (P) and impact (I) of individual environmental risks with p < 0.05.
| Effect | Climate change | Environmental contamination | Exploitation of natural resources | Environmental disasters | Extreme weather events | Biodiversity loss | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P | I | P | I | P | I | P | I | P | I | P | I | |
| Gender | 0.3155 | 0.0535 |
| 0.6737 | 0.1581 | 0.1930 |
| 0.0817 | 0.8058 | 0.1414 | 0.1223 | 0.9535 |
| Field of study |
|
|
| 0.3327 | 0.5396 |
|
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|
|
|
|
|
| Gender* field of study | 0.0661 | 0.5090 | 0.4266 | 0.9912 | 0.7636 | 0.6199 | 0.8640 | 0.4879 | 0.3111 | 0.7148 | 0.6052 | 0.6999 |
Post-hoc test results confirming significant differences in average scores for individual fields of study.
| Climate change | Environmental contamination | Exploitation of natural resources | Environmental disasters | Extreme weather events | Biodiversity loss | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Post-hoc test | P | I | P | I | P | I | P | I | P | I | P | I |
| Natural sciences | 3.88b | 3.16a | 3.90c | 3.46b | 3.60c | 3.71c | 3.55b | 3.97b | 3.51c | 3.96b | 3.00b | 3.55b |
| Care and education | 3.54a | 3.62b | 3.62b | 3.87c | 3.35a | 3.54b | 3.69b | 4.04b | 3.11b | 3.81b | 3.29c | 3.63b |
| Technical and economic | 3.37a | 3.90c | 3.16a | 3.21a | 3.54b | 3.34a | 3.17a | 3.46a | 2.81a | 3.29a | 2.70a | 3.13a |
Note: The letters mark significant differences between the fields of study (based on the Tukey test).
Included studies for a qualitative discussion.
| Author | Main conclusions |
|---|---|
| [ | These results suggest that sociopolitical factors such as power, status, alienation, and trust are strong determiners of people’s perception and acceptance of risks. White women perceived risks to be much higher than did white men |
| [ | Women tend to express higher levels of concern toward technology and the environment than do men. Increased knowledge will not lead to decreased concern. Women tend to express greater concern than do men about the health and safety implications of any given level of technological risk. |
| [ | Gender differences and field of research have an additive effect on risk perceptions, with women scientists and life scientists perceiving greater risks. |
| [ | Flood risk perception is strongly linked to socioeconomic variables such as age, education, house ownership, family size, past flood experience, and distance from the nearest river source, as well as institutional factors such as access to credit and extreme weather forecast information |
| [ | In this study, gender differences were examined along five specific dimensions or sets of environmental issues: resource conservation, nature protection, pollution, global environmental problems and neighborhood environmental problems. Women were found to express greater concern than men over most dimensions, although differences were modest. |
| [ | Social-structural variables do have some influence on risk perception. The more educated and financially well-off are less concerned about the risk items. |
| [ | Both experts and laypeople tend to perceive GCC (global climate change) risks to ecosystems as less avoidable and more acceptable than risks from other causes. Compared to laypeople’s perceptions, though, experts perceived GCC risks to have slightly lower impacts, be less avoidable, more acceptable, and less understandable than non-GCC risks to ecosystems. These findings may help guide efforts to communicate with laypeople about ecological risks from climate change. |
| [ | Members of the public with the highest degrees of science literacy and technical reasoning capacity were not the most concerned about climate change. The result suggests that public divisions over climate change stem not from the public’s incomprehension of science but from a distinctive conflict of interest. |
| [ | There is a relationship between high functional health literacy and higher perception of global health risk and trust in institutions as sources of information and protectors against environmental hazards |
| [ | Gender has a positive sign for the most of the adaptation measures, indicating a positive relationship between gender and flood risk management tools. The location as an important factor in determines the choice of mitigation measures in developing countries |