Figure 1, below, shows that 35% of Danes fully disagree, while 19% somewhat disagree, with the statement that “people who leave their homelands because of climate change should have the right to apply for asylum”. There is thus a majority who are not supportive of this. At the other end of the scale, 12% somewhat agree and 7% fully agree with the statement, meaning that a combined 19% of Danes who support the idea. Finally, there is 26% who neither agree nor disagree with the statement. It is difficult to know what this middle position truly means. Some are likely ambivalent towards the idea, while there are likely also some hidden don’t know answers in here, though such an option was also provided. Overall, this supports the first hypothesis that Danes are not supportive of granting climate migrants the right to apply for asylum.
[Figure 1 about here]
Next, I turn to the second part of the analysis, where I explain variations in attitudes to this. To this aim, I use an ordered logit model. The results are shown as figures where the coefficients are plotted. In the model only the variables linked to the hypotheses are shown, this means that the results from age, gender, education, urbanization, and personal income are not shown here. However, the full model is shown in Table A2 in the appendix.
[Figure 2 about here]
Figure 2 shows the impact of the three main independent variables on attitudes granting climate migrants the right to apply for asylum. The first of the variables show the impact of agreeing or disagreeing with the statement that “climate changes are manmade”. This is interpreted to be an expression of climate change sceptic values. The reference category is those who agree, as I am especially interested in those who disagree. The effect of this on attitudes to granting climate migrants is indeed strong. Compared to the reference category who fully agree then those who fully disagree score almost one and a half lower on the five-point scale (-1,45***). This is thus a strong and significant effect. The same is true for those who somewhat disagree (-1,025***), neither agree nor disagree (0,554***) and even those who somewhat agree (-0,318***).
Next, is ideology, measured as voting intention in the next election. The parties are coded into left, mainstream left, mainstream right and right. Here the reference category is those voting for left-wing parties. Again, there are strong differences, even when controlling for the climate values above. Those who vote for right-wing parties score 2,3 lower on the five-point scale, which is a massive difference. This is not surprising, as this group also includes what would be called populist right-wing parties, which have a strong anti-migration. There is also a difference when comparing to those who vote for the mainstream right of 1,2 on the scale and about half that for the mainstream left (0,656***). Finally, I also included those who did not know, will not say or cannot vote, out of a concern that leaving this large group out would bias the results. Here I see that they score about a point lower than those voting for left-wing parties, meaning that the end is almost exactly between the mainstream left and the mainstream right.
The final variable presented in the figure is whether they agree with the statement that “I am worried that climate changes will increase the number of people who head towards Denmark”. This is interpreted as more perceptions of the threat of climate-induced migration to society. Here the reference category is those who fully disagree. Compared to those then only those who somewhat agree (-0,813***) or fully agree (-1,707***) significantly differ from the reference category.
All the effects are also controlled for each other and the respondent's age, gender, education, urbanization, and personal income. However, of all the other variables included, only two are significant. Men are slightly more likely to disagree (0,171***) and older groups are more likely to agree with the statement. The variation thus come down to attitudes and values, but groups.