By Asaf Bernstein, Stephen B. Billings and Ryan Lewis, University of Colorado; and Matthew Gustafson, Penn State University
There is a growing body of research in finance and economics examining how markets are reacting to the risks posed by climate change.
In our paper, we ask whether growing partisanship surrounding climate change translates into housing choice. Does a buyer’s political orientation impact their decision to purchase property that is more exposed to sea-level rise (SLR), a saliant climate risk? In other words, does partisanship result in partisan sorting into homes with different climate change risk?
In our study, we observe that Republicans are about 5% more likely to purchase SLR-exposed properties than Democrats. This may result in those households that are least likely to support climate-friendly policies and are least incentivised to adapt bearing the burden of climate change, thereby reducing investment in mitigation and adaptation as a result.
How we conducted our study
To conduct our study, we connected US public voter registration information to home-ownership data supplied by Zillow. Merging property location data with sea-level rise exposure maps from the National Oceanic and Atmospheric Administration (NOAA) yielded a dataset with individual household-level political orientation, housing choice, and SLR risk exposure.
However, to identify the effect of political party choice on climate risk exposure, we had to overcome two obstacles: that owners may choose SLR-exposed homes for non-SLR reasons, and that SLR risk may be confused with other correlated, near-term risks.
Figure 1 illustrates the first concern. Before controlling for home quality or amenities, prices are positively related to sea-level rise.
Figure 1: The connection between house price and distance to coast. Source: Bernstein, Gustafson and Lewis (2019), Internet Appendix.
In general, people love to live near the coast, and this drives up prices for these properties. This makes it difficult to identify if wealth, or a desire to be on the coast, correlates with partisanship.
To separate demand for coastal living from willingness to assume SLR risk, we cut the dataset into small blocks of observably identical homes with similar distance to the coast, but which vary on their exposure to SLR risk.
Some of this exposure may come from pure elevation differences in the houses (we control for this directly as well), while some may stem from the natural and man-made topography which insulates some houses and not others (the levy system in New Orleans and the Zuiderzee works in the Netherlands are larger scale examples.)
Once we narrow down the treatment and control homes to be otherwise identical, we then observe that Republicans are about 5% more likely to buy SLR-exposed properties than Democrats.
Confusing SLR risk with other climate risks
The concern that SLR risk is confused with other, near-term risks is a central problem faced by climate finance and economics research. More generally, Dell, Jones and Olken (2013) warn against conflating current weather risks with the impact of climate change.
We explore the possibility that SLR risk is related to current flood risk. In Figure 2, we highlight zip-code-level exposure to storm-surge risk (also obtained from NOAA) and SLR risk, represented by the x and y axes respectively
Figure 2: Relationship between SLR and storm-surge risk. Source: Bernstein, Billings, Gustafson and Lewis (2021), Internet Appendix.
The two are highly correlated, making it difficult to disentangle choices about current risks with beliefs about future climate risk.
We propose three primary solutions to this problem.
First, since we run our analysis at the house level, we can control directly for storm-surge risk. Doing so does not alter the size or significance of the partisan sorting. Conversely, there appears to be no partisan sorting on storm surge risk.
Taken together we conclude that political ideology does not alter perceptions of the present risks to natural disasters, but Republicans do appear to put higher valuations on homes that are exposed to chronic tidal flooding in the future, regardless of current hazard risk.
Second, we use renters as a placebo group. Since they are not tied to the long-term risk faced by the property, political views on climate risk will be implicitly less important. Here we find that political affiliation does not drive exposure to SLR.
However, among this same set of non-owner-occupied houses, we find that the political affiliation of the ultimate property owner does correlate with SLR exposure, consistent with the long-horizon timeframe posed by climate change risk.
Moreover, we conclude that even sophisticated individuals that own multiple properties are subject to this partisan-based sorting.
Third, we supply additional evidence consistent with buyers taking a forward-looking stance on SLR risk.
Sea-level rise varies by region: in some places, seas have actually receded and in others, the rise is substantially higher than the global average. The partisan sorting effect is greater where the regional sea-level rise is more acute and in places with higher tidal variation.
We also find that sorting is exacerbated where Republicans oversee the state legislature, making the possibility of enacting preventative measures less likely. Finally, consistent with both increasing partisanship and more dire predictions around SLR risk, we find that sorting has increased over time.
We find robust evidence for partisan sorting on climate change risk. Housing choice based on climate risk concentrates ownership of climate-exposed assets in the hands of sceptics.
This may dramatically reduce investment in mitigation and adaptation for at least two reasons:
- First, if climate believers do not own climate-exposed assets, they will be less incentivised to take private preventative action.
- Second, to the extent that local governments tend to be Republican, the lack of belief in climate change among the majority of constituents will likely reduce public investment today.
This paper was presented at the PRI Academic Network Week 2021.Access the recording
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