| Literature DB >> 33564208 |
Lingyun Mi1, Jingjing Zhao1, Ting Xu1, Hang Yang1, Tao Lv1, Ke Shang2, Yaning Qiao2, Zhaopu Zhang1.
Abstract
Social impacts and serious damages caused by the COVID-19 pandemic have resulted in public introspection on the issue of ecological environmental protection. However, whether the public cognition of COVID-19 can promote pro-environmental behavioral intentions (PEBI) has not yet been determined; this is crucial for studying the ecological significance of the pandemic. Based on the affective events theory (AET), this study investigated the mechanism by which COVID-19 emergency cognition influences public PEBI. Following an analysis of 873 public questionnaires, the results reveal that public cognition of COVID-19 emergency can significantly promote PEBI. Among them, the effect of emergency coping is stronger than that of emergency relevance. Besides, the positive and negative environmental affective reactions aroused by COVID-19 pandemic play a mediating role between the emergency cognition and PEBI. Moreover, the positive environmental affective reactions show a stronger positive effect on household-sphere PEBI. However, the negative environmental affective reactions are more prominent in promoting public-sphere PEBI. This research aims to bridge a research gap by establishing a link between COVID-19 pandemic and PEBI. The findings can provide useful recommendations for policymakers to find the opportunity behind the COVID-19 emergency to promote public PEBI.Entities:
Keywords: Affective events theory; COVID-19; Event cognition; Pro-environmental behavioral intentions; Public health emergency; Structural equation model
Year: 2021 PMID: 33564208 PMCID: PMC7857117 DOI: 10.1016/j.resconrec.2021.105467
Source DB: PubMed Journal: Resour Conserv Recycl ISSN: 0921-3449 Impact factor: 10.204
Fig. 1Model of hypotheses.
Sample demographic characteristics.
| Variable | Category | Number | Percentage (%) | |
|---|---|---|---|---|
| Gender | Male | 449 | 51.4 | |
| Female | 424 | 48.6 | ||
| Age | <20 | 43 | 4.9 | |
| 20–30 | 406 | 46.5 | ||
| 31–40 | 235 | 26.9 | ||
| 41–50 | 141 | 16.2 | ||
| >50 | 48 | 5.5 | ||
| Education level | Below junior high school | 42 | 4.8 | |
| Senior high school or secondary school degree | 104 | 11.9 | ||
| Bachelor degree | 485 | 55.6 | ||
| 242 | 27.7 | |||
| Number of family members | 1 | 32 | 3.7 | |
| 2 | 101 | 11.6 | ||
| 3 | 307 | 35.1 | ||
| 4 | 248 | 28.4 | ||
| >5 | 185 | 21.2 | ||
| Occupation | Government staff | 74 | 8.5 | |
| Enterprise manager | 189 | 21.7 | ||
| General workers or service personnel | 167 | 19.1 | ||
| Engineer | 194 | 22.2 | ||
| Staff working in non-profit organizations such as scientific research, education, medical care and other fields | 158 | 18.1 | ||
| Freelancers | 63 | 7.2 | ||
| Others | 28 | 3.2 | ||
Reliability and validity analysis of the variables.
| Variable | Item | Loadings | Cronbach's α | CR | AVE |
|---|---|---|---|---|---|
| Emergency Relevance | ER1 | 0.547 | 0.829 | 0.849 | 0.663 |
| ER2 | 0.923 | ||||
| ER3 | 0.915 | ||||
| Emergency Coping | EC1 | 0.516 | 0.722 | 0.774 | 0.543 |
| EC2 | 0.802 | ||||
| EC3 | 0.849 | ||||
| Positive Environmental Affective Reactions | PEAR1 | 0.851 | 0.874 | 0.880 | 0.712 |
| PEAR2 | 0.933 | ||||
| PEAR3 | 0.736 | ||||
| Negative Environmental Affective Reactions | NEAR1 | 0.794 | 0.798 | 0.817 | 0.532 |
| NEAR2 | 0.840 | ||||
| NEAR3 | 0.580 | ||||
| NEAR4 | 0.674 | ||||
| Household-sphere PEBI | Ho-PEBI 1 | 0.863 | 0.891 | 0.893 | 0.735 |
| Ho -PEBI 2 | 0.902 | ||||
| Ho-PEBI 3 | 0.805 | ||||
| Workplace PEBI | Wo -PEBI 1 | 0.855 | 0.911 | 0.912 | 0.776 |
| Wo -PEBI 2 | 0.896 | ||||
| Wo -PEBI 3 | 0.891 | ||||
| Public-sphere PEBI | Pu-PEBI 1 | 0.855 | 0.853 | 0.857 | 0.666 |
| Pu-PEBI 2 | 0.896 | ||||
| Pu-PEBI 3 | 0.891 |
ER = emergency relevance; EC = emergency coping; PEAR = positive environmental affective reactions; NEAR = negative environmental affective reactions; Ho-PEBI = household-sphere PEBI; Wo-PEBI = workplace PEBI; Pu-PEBI = public-sphere PEBI.
Descriptive statistical analysis.
| Dim | M | SD | Discriminate Validity | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | |||
| ER | 3.585 | 0.984 | |||||||
| EC | 3.977 | 0.663 | 0.011 | ||||||
| PEAR | 4.457 | 0.614 | 0.162 | 0.338 | |||||
| NEAR | 4.536 | 0.555 | 0.293 | 0.188 | 0.561 | ||||
| Ho-PEBI | 4.105 | 0.715 | 0.120 | 0.243 | 0.561 | 0.408 | |||
| Pu-PEBI | 4.404 | 0.621 | 0.114 | 0.317 | 0.495 | 0.417 | 0.447 | ||
| Wo-PEBI | 4.227 | 0.661 | 0.089 | 0.303 | 0.546 | 0.434 | 0.627 | 0.688 | |
ER = emergency relevance; EC = emergency coping; PEAR = positive environmental affective reactions; NEAR = negative environmental affective reactions; Ho-PEBI = household-sphere PEBI; Wo-PEBI = workplace PEBI; Pu-PEBI = public-sphere PEBI.
The numbers in the cells of the diagonal line are the square root of AVE; N = 873;.
p<0.01.
Results of confirmatory factor analysis of variable discriminant validity.
| Fit index | DF | CMIN/DF | CFI | TLI | RMSEA | SRMR | ||
|---|---|---|---|---|---|---|---|---|
| One –factor model | 5330.018 | 209 | 25.502 | 0.559 | 0.513 | 0.168 | 0.113 | |
| Double–factor model | 4257.590 | 208 | 20.469 | 0.651 | 0.613 | 0.149 | 0.133 | |
| Triple–factor model | 3233.606 | 206 | 15.697 | 0.739 | 0.708 | 0.130 | 0.124 | |
| Seven –factor model | 560.651 | 188 | 2.982 | 0.968 | 0.961 | 0.048 | 0.047 | |
= chi-square statistic; DF = degree of freedom; CFI = comparative fit index; TLI = Tucker–Lewis index; RMSEA = the root mean squared error of approximation; SRMR = standardized root mean square residual; evaluation standard is according to (Kline, 2015).
Direct effect analysis results.
| Direct Effect | Estimate | SE | Est./SE | P-Value | Supported |
|---|---|---|---|---|---|
| ER → PEAR | 0.139 | 0.034 | 4.081 | 0.000 | YES |
| ER → NEAR | 0.293 | 0.043 | 6.779 | 0.000 | YES |
| EC → PEAR | 0.564 | 0.089 | 6.323 | 0.000 | YES |
| EC → NEAR | 0.364 | 0.076 | 4.757 | 0.000 | YES |
| PEAR → Ho-PEBI | 0.446 | 0.074 | 6.021 | 0.000 | YES |
| PEAR → Wo-PEBI | 0.371 | 0.064 | 5.791 | 0.000 | YES |
| PEAR → Pu-PEBI | 0.440 | 0.076 | 5.770 | 0.000 | YES |
| NEAR→ Ho-PEBI | 0.139 | 0.054 | 2.571 | 0.010 | YES |
| NEAR → Wo-PEBI | 0.193 | 0.052 | 3.705 | 0.000 | YES |
| NEAR → Pu-PEBI | 0.230 | 0.071 | 3.219 | 0.001 | YES |
ER = emergency relevance; EC = emergency coping; PEAR = positive environmental affective reactions; NEAR = negative environmental affective reactions; Ho-PEBI = household-sphere PEBI; Wo-PEBI = workplace PEBI; Pu-PEBI = public-sphere PEBI.
SE is the standardization error;.
p <0.05,.
p <0.01,.
p <0.001.
Indirect effect analysis.
| Indirect Effect | Estimate | SE | Est./SE | P-Value | 95%CI | Supported |
|---|---|---|---|---|---|---|
| ER→ PEAR→ Ho-PEBI | 0.062 | 0.019 | 3.291 | 0.001 | 0.034- 0.120 | YES |
| ER→ PEAR→ Wo-PEBI | 0.052 | 0.016 | 3.211 | 0.001 | 0.028- 0.098 | YES |
| ER→ PEAR→ Pu-PEBI | 0.061 | 0.019 | 3.301 | 0.001 | 0.024- 0.088 | YES |
| ER→ NEAR→ Ho-PEBI | 0.041 | 0.017 | 2.447 | 0.014 | 0.011- 0.088 | YES |
| ER→ NEAR→ Wo-PEBI | 0.057 | 0.016 | 3.576 | 0.000 | 0.020- 0.104 | YES |
| ER→ NEAR→ Pu-PEBI | 0.067 | 0.021 | 3.259 | 0.001 | 0.026- 0.095 | YES |
| EC→ PEAR→ Ho-PEBI | 0.251 | 0.054 | 4.650 | 0.000 | 0.133- 0.261 | YES |
| EC→ PEAR→ Wo-EBI | 0.210 | 0.045 | 4.704 | 0.000 | 0.090- 0.214 | YES |
| EC→ PEAR→ Pu-PEBI | 0.248 | 0.059 | 4.193 | 0.000 | 0.086- 0.205 | YES |
| EC→ NEAR→ Ho-PEBI | 0.051 | 0.022 | 2.314 | 0.021 | 0.009- 0.071 | YES |
| EC→ NEAR→ Wo-PEBI | 0.070 | 0.024 | 2.885 | 0.004 | 0.014- 0.087 | YES |
| EC→ NEAR→ Pu-PEBI | 0.084 | 0.032 | 2.580 | 0.010 | 0.019- 0.086 | YES |
ER = emergency relevance; EC = emergency coping; PEAR = positive environmental affective reactions; NEAR = negative environmental affective reactions; Ho-PEBI = household-sphere PEBI; Wo-PEBI = workplace PEBI; Pu-PEBI = public-sphere PEBI.
SE is the standardization error;.
p <0.05,.
p <0.01,.
p <0.001.
Fig. 2Structural equation model and standardized estimate values.
| Variable | Item | Content |
|---|---|---|
| Emergency Relevance | ER1 | COVID-19 emergency threatened my health or safety |
| ER2 | COVID-19 emergency hindered my achievement of important goals in my work | |
| ER3 | COVID-19 emergency hindered my achievement of important goals in my life | |
| Emergency Coping | EC1 | I can protect myself from the threat of COVID-19 emergency |
| EC2 | I can cope with the inconvenience in my work caused by COVID-19 emergency | |
| EC3 | I can overcome the inconvenience or difficulties in my life brought by COVID-19 emergency | |
| Positive Environmental Affective Reactions | PEAR1 | I am excited about the national measures to combat wildlife trade during COVID-19 emergency |
| PEAR2 | I am inspired that COVID-19 emergency cognition has prompted the public to pay attention to the ecological environment | |
| PEAR3 | The cognition of COVID-19 emergency makes me proud of my past actions to protect the ecological environment | |
| Negative Environmental Affective Reactions | NEAR1 | The cognition of COVID-19 emergency makes me scared about the consequences of environmental damages |
| NEAR2 | The cognition of COVID-19 emergency makes me feel worried about the current situation of the relationship between human beings and nature | |
| NEAR3 | The cognition of COVID-19 emergency makes me feel guilty for neglecting wildlife protection in the past | |
| NEAR4 | The cognition of COVID-19 emergency makes me feel angry about the destruction of the ecological environment by others | |
| Household-sphere PEBI | Ho-PEBI1 | I would pay attention to conserving energy and choosing low-carbon transportations in my daily life |
| Ho -PEBI2 | I would pay attention to cultivating healthy and environmentally-friendly habits | |
| Ho -PEBI3 | I would buy environmentally-friendly products | |
| Workplace PEBI | Wo-PEBI1 | I would fulfill responsibilities specified in my job description in environmentally-friendly ways |
| Wo-PEB2 | I would actively participate in environmental protection activities or plans organized by my company | |
| Wo-PEBI3 | I would recommend to my colleagues a more environmentally friendly way of working | |
| Public-sphere PEBI | Pu-PEBI 1 | I would express my views on an environmental issue to deputies to the National People's Congress or government officials |
| Pu-PEBI 2 | I would donate to public welfare activities to improve the ecological environment | |
| Pu-PEBI 3 | I would proactively report illegal activities damaging the ecological environment |