Passing the check: How overlapping climate policies shift the distribution of costs in California

Energy and transportation services represent a significant portion of household budgets, particularly for low-income households. Climate policies that increase the cost of energy and transportation services can lead to disparate impacts across income and demographic groups. When multiple overlapping climate policies are in place, they may interact to compound or shift the distribution of costs. This study employs household expenditure microdata from the Consumer Expenditure Survey to examine the distributional costs of two overlapping policies in California: the cap-and-trade program (CAT) and the low carbon fuel standard (LCFS). Findings indicate that the LCFS is regressive and that the CAT, while highly regressive at initial incidence, is similar in net incidence to the LCFS after returning some revenue to households through utility rebates. Yet the CAT program leads to greater differences in impacts on households within income groups, even exceeding differences between groups. Interactions between the two policies lead to higher costs for households across income deciles compared to achieving the same level of emissions reduction with the CAT alone. This suggests there is no equity-efficiency tradeoff in choosing between these policy instruments.

Authors

Institutions

Publication Details

Journal
Energy Research & Social Science
Published
2025-05-08
DOI
https://doi.org/10.1016/j.erss.2025.104119
Citations
2
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
6.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Passing the check: How overlapping climate policies shift the distribution of costs in California

William A. Scott
2 citations
Energy Research & Social Science
Climate Change Policy and Economics
6.26
article

Passing the check: How overlapping climate policies shift the distribution of costs in California

William A. Scott
article en
2 citations

Abstract

Energy and transportation services represent a significant portion of household budgets, particularly for low-income households. Climate policies that increase the cost of energy and transportation services can lead to disparate impacts across income and demographic groups. When multiple overlapping climate policies are in place, they may interact to compound or shift the distribution of costs. This study employs household expenditure microdata from the Consumer Expenditure Survey to examine the distributional costs of two overlapping policies in California: the cap-and-trade program (CAT) and the low carbon fuel standard (LCFS). Findings indicate that the LCFS is regressive and that the CAT, while highly regressive at initial incidence, is similar in net incidence to the LCFS after returning some revenue to households through utility rebates. Yet the CAT program leads to greater differences in impacts on households within income groups, even exceeding differences between groups. Interactions between the two policies lead to higher costs for households across income deciles compared to achieving the same level of emissions reduction with the CAT alone. This suggests there is no equity-efficiency tradeoff in choosing between these policy instruments.

Energy Research & Social ScienceVol. 125
Simon Fraser University (CA), Stanford University (US)
Stanford University, Stanford School of Earth, Energy and Environmental Sciences, Social Sciences and Humanities Research Council of Canada
Climate action
Openalex Percentile: Top 4%
Climate Change Policy and Economics
6.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.