| Literature DB >> 35300963 |
José-Julián Escario1, Carla Rodriguez-Sanchez2, Jesus Valero-Gil3, Luis V Casaló4.
Abstract
COVID-19 has led to an unprecedented health and economic crisis worldwide. Many governments of the world have accelerated an adoption of public policies to address this crisis; however, a trade-off between the economy and public health exists. Previous studies in this area have mainly focused on the impact of COVID-19 on human life and the environment. This work adds to the literature by analyzing how individual environmental concern can affect citizens' preferences for public policies that deal with COVID-19. A data set of 26,131 participants from 26 countries was used to test the research model. Results indicate that environmental concern is positively associated with a preference for long-term oriented altruistic policies, and it shapes the relationship between economic and health problems at the country level on our dependent variable. Specifically, as the level of environmental concern increases, the negative effect of COVID-19's economic problems on the preference for long-term altruistic policies is diminished. In turn, in the case of health problems, the impact on the preference for long-term altruistic policies increases as environmental concern increases. Also, both individual-level and country-level characteristics affect citizens' preferences for policies related to the COVID-19 pandemic.Entities:
Keywords: Altruism; COVID-19; Country-level characteristics; Environmental concern; Policy preference
Mesh:
Year: 2022 PMID: 35300963 PMCID: PMC8920115 DOI: 10.1016/j.envres.2022.113082
Source DB: PubMed Journal: Environ Res ISSN: 0013-9351 Impact factor: 8.431
Fig. 1Research model
Notes: Solid lines represent direct associations (blue lines represent positive association, red lines represent negative association and yellow line represents u-shape association). Dashed lines represent interactions between environmental concern and country-level COVID-related problems. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Measures of preference for long-term altruistic policies.
| Items | Classification |
|---|---|
| 1 Developing the financial means to find a treatment or vaccine | +1 |
| 2 Ensure the management and coordination of a reserve of strategic medical devices that is common to all the Member States of the European Union | +1 |
| 3 Ensure coordination between the Member States of the European Union on a financial level | −1 |
| 4 Increase the budget of the European Union | −1 |
| 5 Promote the transfer of industries to the European Union | −1 |
| 6 Provide more financial support to the most affected regions of the European Union | +1 |
| 7 Impose stricter control of the external borders of the European Union | −1 |
| 8 Allow the Member States of the European Union to support their economy, for example through state aid | 0 |
| 9 Establish a strategy to deal with a similar crisis in the future | +1 |
| 10 Promote dialogue and solidarity among the Member States of the European Union | +1 |
| 11 Review the principle of free movement between the Member States of the European Union | −1 |
| 12 Developing a European health policy | +1 |
| 13 Investing more money in the economy to achieve a sustainable, inclusive and equitable recovery in all Member States of the European Union | +1 |
Descriptive analysis.
| Variable | N | Mean | St. Dev. | Min | Max |
|---|---|---|---|---|---|
| Preference for Long-Term Altruistic Policies | 26,128 | 1.106 | 1.391 | −3 | 3 |
| COVID-19 Economic Problems | 26,131 | 10.434 | 14.350 | −23.171 | 29.63 |
| COVID-19 Health Problems | 26,131 | 2,203.965 | 1,821.304 | 305.331 | 6,725.635 |
| Environmental Concern | 26,128 | 3.117 | 1.097 | 0 | 4 |
| Female | 26,131 | 0.545 | 0.498 | 0 | 1 |
| Age | 26,131 | 51.434 | 17.854 | 15 | 99 |
| Political Ideology | 24,494 | 5.359 | 2.076 | 1 | 10 |
| Education | 25,409 | 6.133 | 2.741 | 1 | 10 |
| Class Low | 25,827 | 0.406 | 0.491 | 0 | 1 |
| Class Middle | 25,827 | 0.502 | 0.500 | 0 | 1 |
| Class High | 25,827 | 0.092 | 0.289 | 0 | 1 |
| Population Density | 26,131 | 152.549 | 211.224 | 18.136 | 1,454.037 |
| GDP pc 2019 | 26,131 | 29,118.3 | 15,644.3 | 8,748.5 | 72,600.7 |
| Individualism | 25,626 | 57.151 | 17.558 | 23 | 80 |
Data come from: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, and Sweden.
Regression estimates.
| OLS | Poisson | NB2 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| (Intercept) | – | – | 3.609 | 3.446–3.780 | < | 3.609 | 3.446–3.780 | < | |
| Female | 0.041 | 0.028–0.054 | < | 1.028 | 1.019–1.037 | < | 1.028 | 1.019–1.037 | < |
| Age | −0.113 | −0.181–−0.045 | 0.998 | 0.997–0.999 | 0.998 | 0.997–0.999 | |||
| Age2 | 0.128 | 0.060–0.196 | < | 1.000 | 1.000–1.000 | < | 1.000 | 1.000–1.000 | < |
| Political Ideology | −0.085 | −0.098–−0.072 | < | 0.986 | 0.984–0.988 | < | 0.986 | 0.984–0.988 | < |
| Education | 0.062 | 0.047–0.077 | < | 1.008 | 1.006–1.010 | < | 1.008 | 1.006–1.010 | < |
| Class Middle | 0.004 | −0.009 – 0.017 | 0.539 | 1.003 | 0.994–1.013 | 0.503 | 1.003 | 0.994–1.013 | 0.503 |
| Class High | 0.025 | 0.011–0.039 | < | 1.028 | 1.013–1.044 | < | 1.028 | 1.013–1.044 | < |
| Population Density | 0.012 | −0.002 – 0.026 | 0.084 | 1.000 | 1.000–1.000 | 0.058 | 1.000 | 1.000–1.000 | 0.058 |
| GDP pc 2019 | 0.044 | 0.025–0.063 | < | 1.000 | 1.000–1.000 | < | 1.000 | 1.000–1.000 | < |
| Individualism | −0.056 | −0.071–−0.041 | < | 0.999 | 0.999–0.999 | < | 0.999 | 0.999–0.999 | < |
| COVID-19 Economic Problems (CEP): | −0.055 | −0.094–−0.017 | 0.999 | 0.998–1.000 | 0.999 | 0.998–1.000 | |||
| COVID-19 Health Problems (CHP): | 0.063 | 0.020–0.106 | 1.000 | 1.000–1.000 | < | 1.000 | 1.000–1.000 | < | |
| Environmental Concern (EC): | 0.144 | 0.120–0.169 | < | 1.053 | 1.044–1.062 | < | 1.053 | 1.044–1.062 | < |
| CEP*EC: H4a | 0.076 | 0.036–0.116 | < | 1.001 | 1.000–1.001 | 1.001 | 1.000–1.001 | ||
| CHP*EC: H4b | 0.049 | 0.002–0.096 | 1.000 | 1.000–1.000 | 0.496 | 1.000 | 1.000–1.000 | 0.496 | |
| Observations | 23,265 | 23,265 | 23,265 | ||||||
| R2 | 0.074 | – | – | ||||||
| AIC | 79,711.67 | 86,400.35 | 86,402.67 | ||||||
| log-Likelihood | −39,838.83 | −43,184.17 | −43,184.33 | ||||||
Fig. 2Distribution frequency of the dependent variable.
Fig. 3Environmental concern and covid-19 economic problems interaction effects on policy preferences.
Fig. 4Environmental concern and covid-19 health problems interaction effects on policy preferences.