Hostname: page-component-74656f9884-6grmk Total loading time: 0 Render date: 2026-11-06T11:31:28.024Z Has data issue: false hasContentIssue false

When Will People Pay to Pollute? Environmental Taxes, Political Trust and Experimental Evidence from Britain

Published online by Cambridge University Press:  06 April 2017

Rights & Permissions [Opens in a new window]

Abstract

This article presents results from survey experiments investigating conditions under which Britons are willing to pay taxes on polluting activities. People are no more willing if revenues are hypothecated for spending on environmental protection, while making such taxes more relevant to people – by naming petrol and electricity as products to which they will apply – has a modestly negative effect. Public willingness increases sharply if people are told that new environmental taxes would be offset by cuts to other taxes, but political distrust appears to undermine much of this effect. Previous studies have argued that political trust shapes public opinion with respect to environmental and many other policies. But this article provides the first experimental evidence suggesting that the relationship is causal, at least for one specific facet: cynicism about public officials’ honesty and integrity. The results suggest a need to make confidence in the trustworthiness of public officials and their promises more central to conceptualizations of political trust.

Information

Type
Articles
Copyright
© Cambridge University Press 2017 
Figure 0

Table 1 Models with Observational Data Only

Figure 1

Table 2 Raw Percentages of Each Response, by Combination of Conditions

Figure 2

Table 3 Models including Randomly Assigned Treatments

Figure 3

Fig. 1 Modelled probabilities of being willing to pay higher taxes to protect the environment, by experimental condition Note: expected proportions of various types of respondents being at least fairly willing to pay higher taxes, under six different scenarios (A, C, E, G, B and J from Table 2, in order from left to right), derived from Models 3 through 8. The vertical lines represent 95 per cent Bayesian credible intervals.

Supplementary material: Link

Fairbrother Dataset

Link
Supplementary material: PDF

Fairbrother supplementary material

Online Appendices

Download Fairbrother supplementary material(PDF)
PDF 221.6 KB