Overcoming public resistance to carbon taxes

Carattini, Stefano; Carvalho, Maria Sameiro; Fankhauser, Samuel

doi:10.1002/wcc.531

Cited by 246 publications

(193 citation statements)

References 91 publications

Supporting

Mentioning

134

Contrasting

Unclassified

Order By: Relevance

“…In particular, his analysis highlights how voters are biased towards proposal designs that make the tax less efficient, such as having to set a tax rate that is well below estimates of the social cost of carbon. (For this reason, Carattini et al [44] suggested that carbon taxes be phased in over time.) Lucas Jr [45] highlighted how voters have behavioral biases towards less efficient environmental regulations and what this means for carbon taxation.…”

Section: Discussionmentioning

confidence: 99%

The Economics and Politics of Carbon Taxes and Regulations: Evidence from Voting on Washington State’s Initiative 732

2019

View full text Add to dashboard Cite

In November 2016, Washington State voters were presented with a ballot initiative (Initiative 732) advancing the first carbon tax on production and use of fossil fuels in the United States. Initiative 732 promised to reduce fossil fuel consumption by taxing carbon emissions, while remaining revenue-neutral by lowering taxes on businesses, consumers, and working families. In promising revenue-neutrality, Initiative 732 sought support beyond environmentalists and similarly sympathetic voters. It failed to pass, achieving 41.2 percent of votes cast. To investigate this initiative’s failure at the ballot, we analyzed zip code-level voting patterns and demographic data. Relying on a two-step LASSO (Least Absolute Shrinkage and Selection Operator) + OLS (Ordinary Least Squares) procedure, our results suggest that the framing of revenue-neutrality did not sufficiently satisfy moderate right-leaning voters regarding perceived costs of the carbon tax. We also found evidence suggesting not only that some voting segments may have opposed revenue-neutrality, but that those facing higher climate change risk did not appear to see the initiative’s value net of expected costs.

show abstract

Section: Discussionmentioning

confidence: 99%

The Economics and Politics of Carbon Taxes and Regulations: Evidence from Voting on Washington State’s Initiative 732

2019

View full text Add to dashboard Cite

show abstract

“…The success of carbon taxation depends on a wide list of factors that need to be revised. Carattini et al and Baranzini et al identified barriers to public acceptance of carbon taxes, underlining the importance of proper policy design coupled with communication on the effects of carbon taxes [51,52]. The literature acknowledges a series of unwanted effects of carbon taxes on distribution of income (heavier burden in the lower income groups) and competitiveness (production costs rise).…”

Section: Discussionmentioning

confidence: 99%

A Sketch of Bolivia’s Potential Low-Carbon Power System Configurations. The Case of Applying Carbon Taxation and Lowering Financing Costs

et al. 2018

View full text Add to dashboard Cite

This paper considers hypothetical options for the transformation of the Bolivian power generation system to one that emits less carbon dioxide. Specifically, it evaluates the influence of the weighted average cost of capital (WACC) on marginal abatement cost curves (MACC) when applying carbon taxation to the power sector. The study is illustrated with a bottom-up least-cost optimization model. Projections of key parameters influence the shape of MACCs and the underlying technology configurations. These are reported. Results from our study (and the set of assumptions on which they are based) are country-specific. Nonetheless, the methodology can be replicated to other case studies to provide insights into the role carbon taxes and lowering finance costs might play in reducing emissions.

show abstract

“…To address the global issues related to climate change, the United Nations Framework Convention on Climate Change (UNFCCC) established the Paris agreement in 2015 to deal with greenhouse-gas-emissions mitigation, adaptation, and finance (Carattini et al, 2018). The agreement has representatives of 196 member countries as signatories to the agreement.…”

Section: Introductionmentioning

confidence: 99%

Review of Climate Research and Funding 1993 ~ 2017: A Multinomial Logistic Regression Approach

Odeyemi¹,

Pollind²,

Peeler³

et al. 2019

J ENVIRON INFORM LET

View full text Add to dashboard Cite

This research builds a multinomial regression framework to conduct a meta-analysis of trends in climate research and funding as related to the state of affairs in the last twenty-five years in this area of research. We used a climate research query-based strategy searching the Web of Science, National Science Foundation, Australia Department of Environment and Energy, African Development Bank's African Climate Change Fund, the Asian Development Bank Climate Change Fund and Australia's Department of Environment and Energy databases to perform quantitative and qualitative trend analysis. Data were harvested using a web scraper and filtered for the 1993 ~ 2017 window. Comparative analysis was carried out to evaluate the climate research output per continent. Also, we evaluated the role funding plays in the climate research outcomes. Different text processing and mining techniques were used to extract information and data needed for trend analysis and statistical modeling. The text processing revealed trends such as major keywords, key opinion leaders, and individual country's contribution, monthly and yearly spread of published articles in the climate research domain. From these trends, we engineered some of the variables to build a multinomial regression model to further understand future trends in the climate research space. It is probabilistic in nature with the assumption of no inter correlation between variables, hence outputs are more significant. We found that funding for climate research has been on a steady increase in the last twenty-five years, with the US and European investing hundreds of millions of dollars in alternative and renewable energy. Lastly, the multinomial logistic regression assesses the impact of number of investigators, abstract word count and institution types on the class of grant awarded by NSF.

show abstract

Overcoming public resistance to carbon taxes

Cited by 246 publications

References 91 publications

The Economics and Politics of Carbon Taxes and Regulations: Evidence from Voting on Washington State’s Initiative 732

The Economics and Politics of Carbon Taxes and Regulations: Evidence from Voting on Washington State’s Initiative 732

A Sketch of Bolivia’s Potential Low-Carbon Power System Configurations. The Case of Applying Carbon Taxation and Lowering Financing Costs

Review of Climate Research and Funding 1993 ~ 2017: A Multinomial Logistic Regression Approach

Contact Info

Product

Resources

About