Climate Inequality: New Study Exposes the Wealthy's Disproportionate Carbon Footprint - SciTechDaily

Climate Inequality: New Study Exposes the Wealthy’s Disproportionate Carbon Footprint

A study from the University of Massachusetts Amherst found that the top 10% earners in the U.S. account for 40% of the country’s greenhouse gas emissions, with income from financial investments playing a significant role in these emissions. The research suggests focusing on taxing income and shareholders, rather than consumption, to incentivize the wealthy to adopt eco-friendly practices.

Recent research from the University of Massachusetts Amherst establishes the first connection between U.S. household income and emissions, highlighting investment as a major driver behind emissions inequality.

New research conducted by the University of Massachusetts Amherst indicates that the richest 10% of Americans account for 40% of the country’s total greenhouse gas emissions. The study, published in the journal PLOS Climate, establishes a connection between income, particularly income stemming from financial investments, and the emissions produced to generate that income.

The researchers recommend that in order to equitably achieve the objective of limiting global temperature rise to 1.5 C, policymakers adopt taxes focused on shareholders and the carbon intensity of investment incomes.

Scientists and environmentalists have long known that consumption—the amount and kind of food we eat, the vehicles we drive, and all the stuff we buy—is closely linked to greenhouse gas emissions. Traditional environmental policy has then sought to either limit consumption or guide it into more environmentally friendly avenues: replacing red meat with plant-based diets or swapping a gas-guzzler for an electric vehicle.

“But,” says Jared Starr, a sustainability scientist at UMass Amherst and the lead author of the new study, “consumption-based approaches to limiting greenhouse gas emissions are regressive. They disproportionately punish the poor while having little impact on the extremely wealthy, who tend to save and invest a large share of their income. Consumption-based approaches miss something important: carbon pollution generates income, but when that income is reinvested into stocks, rather than spent on necessities, it isn’t subject to a consumption-based carbon tax.”

“What happens,” Starr asks, “when we focus on how emissions create income, rather than how they enable consumption?”

An answer to that seemingly simple question, however, is fraught with difficulty, because though it’s relatively easy to capture a snapshot of wages and salaries—the main sources of income for 90% of Americans—it has been very difficult to get a sense of the investment income that makes up a large source of the richest Americans’ wealth.

Mean household tons of CO2 equivalent emissions (2019) per income group under the pre-tax supplier framework. The width of each income group, on the x-axis, corresponds with each group’s share of national emissions. Credit: Jared Starr

To solve this problem, Starr and his colleagues looked at 30 years’ worth of data, drawing first on a database containing over 2.8 billion inter-sectoral financial transfers and following the flow of carbon and income through these transactions. This allowed them to calculate two different values: supplier-based and producer-based greenhouse gas emissions of income.

Supplier-based emissions are those created by industries that supply fossil fuels to the economy. For instance, the operational emissions released by fossil fuel companies are actually quite low, but they make enormous profits by selling oil to others who will burn it.

Producer-based emissions are those directly released by the operation of the business itself—like a coal-fired power plant.

With these two figures in hand, Starr and his co-authors then linked their emissions data with another database containing detailed demographic and income data for over 5 million Americans. This database parses out income sources differentiating active income—the wages or salaries earned through employment—from the passively generated investment income.

Not only did the team find that over 40% of U.S. emissions were attributable to the income flows of the top 10%, but they also discovered that the top 1% of earners alone generate 15 – 17% of the nation’s emissions. In general, white, non-Hispanic households had the highest emission-linked income, and Black households had the lowest. Emissions tended to increase with age, peaking in the 45–54 age group, before declining.

The team also identified “super emitters” with extremely high emissions intensity. These are almost exclusively among the top 0.1% of households, which are overrepresented in the fields of finance, real estate, and insurance, manufacturing, and mining and quarrying.

“This research gives us insight into the way that income and investments obscure emissions responsibility,” says Starr. “For example, 15 days of income for a top 0.1% household generates as much carbon pollution as a lifetime of income for a household in the bottom 10%. An income-based lens helps us focus on exactly who is profiting the most from climate-changing carbon pollution, and design policies to shift their behavior.”

In particular, Starr and his colleagues point to income and shareholder-based taxation—rather than taxing consumables.

“In this way,” says Starr, “we could really incentivize the Americans who are driving and profiting the most from climate change to decarbonize their industries and investments. It’s divestment through self-interest, rather than altruism. Imagine how quickly corporate executives, board members, and large shareholders would decarbonize their industries if we made it in their financial interest to do so. The tax revenue gained could help the nation invest substantially in decarbonization efforts.”

Reference: “Income-based U.S. household carbon footprints (1990–2019) offer new insights on emissions inequality and climate finance” by Jared Starr, Craig Nicolson, Michael Ash, Ezra M. Markowitz, and Daniel Moran, 17 August 2023, PLOS Climate.

DOI: 10.1371/journal.pclm.0000190