• Energy Research

Beliefs about other people's opinions on climate change influence one's own opinion. Such beliefs can, however, suffer from biases in perception. Using two nationally representative surveys, we examine this issue in a new context, namely of carbon-tax acceptance in Spain. We find that the more one expects the tax to be accepted by others, the more one accepts it personally. But opponents of a carbon tax tend to strongly overestimate the prevalence of their opinion, i.e. they exhibit a so-called false consensus effect. In contrast, despite holding the majority view, tax supporters somewhat underestimate the prevalence of their own view, which is known as pluralistic ignorance. We further test the role of information provision by providing participants with different percentages of people accepting the tax. Overall, we find little evidence that such information provision significantly increases tax acceptance. The impact of information provision on tax acceptance tends to be moderated by the degree of false consensus.

Carbon taxes evoke a variety of public responses, often with negative implications for policy support, implementation, and stringency. Here we use topic modeling to analyze associations of Spanish citizens with a policy proposal to introduce a carbon tax. This involves asking two key questions, to elicit (1) citizens’ associations with a carbon tax and (2) their judgment of the fairness of such a policy for distinct uses of tax revenues. We identify 11 topics for the first question and 18 topics for the second. We perform regression analysis to assess how respondents’ associations relate to their carbon tax acceptability, knowledge, and sociodemographic characteristics. The results show that, compared to people accepting the carbon tax, those rejecting it show less trust in politicians, think that the rich should pay more than the poor, consider the tax to be less fair, and stress more a lack of renewable energy or low-carbon transport. Respondents accepting a carbon tax emphasize more the need to solve environmental problems and care about a just society. These insights can help policymakers to improve the design and communication of climate policy with the aim to increase its public acceptability.

Behavioral interventions are increasingly being considered as useful complements of traditional climate-policy instruments. These interventions are so far mostly being studied and applied in high-income countries. Here, we examine their application to achieve carbon emissions reduction in low- and middle-income countries. This involves synthesizing evidence from meta-analyses and systematic reviews from developed countries and deriving general insights for developing countries. We also review evidence from primary studies in developing countries, organizing insights by major world regions. We discuss context dependence of findings, as well to what extent behavioral interventions are complementary to, and create synergies with, other policy instruments. We hope that the present overview serves as starting point to expand the currently small evidence base on climate-relevant behavioral interventions in developing countries. Suggestions are made how to move this research forward.

AbstractPublic acceptability of carbon taxation depends on its revenue use. Which single or mixed revenue use is most appropriate, and which perceptions of policy effectiveness and fairness explain this, remains unclear. It is, moreover, uncertain how people’s prior knowledge about carbon taxation affects policy acceptability. Here we conduct a survey experiment to test how distinct revenue uses, prior knowledge, and information provision about the functioning of carbon taxation affect policy perceptions and acceptability. We show that spending revenues on climate projects maximises acceptability as well as perceived fairness and effectiveness. A mix of different revenue uses is also popular, notably compensating low-income households and funding climate projects. In addition, we find that providing information about carbon taxation increases acceptability for unspecified revenue use and for people with more prior tax knowledge. Furthermore, policy acceptability is more strongly related to perceived fairness than to perceived effectiveness.

AbstractAgent‐based models (ABMs) have recently seen much application to the field of climate mitigation policies. They offer a more realistic description of micro behavior than traditional climate policy models by allowing for agent heterogeneity, bounded rationality and nonmarket interactions over social networks. This enables the analysis of a broader spectrum of policies. Here, we review 61 ABM studies addressing climate‐energy policy aimed at emissions reduction, product and technology diffusion, and energy conservation. This covers a broad set of instruments of climate policy, ranging from carbon taxation, and emissions trading through adoption subsidies to information provision tools such as smart meters and eco‐labels. Our treatment pays specific attention to behavioral assumptions and the structure of social networks. We offer suggestions for future research with ABMs to answer neglected policy questions.This article is categorized under: Climate Economics > Economics of Mitigation

Unidad de excelencia María de Maeztu CEX2019-000940-M We assess evidence from theoretical-modelling, empirical and experimental studies on how interactions between instruments of climate policy affect overall emissions reduction. Such interactions take the form of negative, zero or positive synergistic effects. The considered instruments comprise performance and technical standards, carbon pricing, adoption subsidies, innovation support, and information provision. Based on the findings, we formulate climate-policy packages that avoid negative and employ positive synergies, and compare their strengths and weaknesses on other criteria. We note that the international context of climate policy has been neglected in assessments of policy mixes, and argue that transparency and harmonization of national policies may be key to a politically feasible path to meet global emission targets. This suggests limiting the complexity of climate-policy packages.