Empirical Distribution of the Plant-Level Components of Energy and Carbon Intensity at the Six-digit NAICS Level Using a Modified KAYA Identity

Gale Boyd, Matthew Doolin and Yu Ma

Working Papers from U.S. Census Bureau, Center for Economic Studies

Abstract: Three basic pillars of industry-level decarbonization are energy efficiency, decarbonization of energy sources, and electrification. This paper provides estimates of a decomposition of these three components of carbon emissions by industry: energy intensity, carbon intensity of energy, and energy (fuel) mix. These estimates are constructed at the six-digit NAICS level from non-public, plant-level data collected by the Census Bureau. Four quintiles of the distribution of each of the three components are constructed, using multiple imputation (MI) to deal with non-reported energy variables in the Census data. MI allows the estimates to avoid non-reporting bias. MI also allows more six-digit NAICS to be estimated under Census non-disclosure rules, since dropping non-reported observations may have reduced the sample sizes unnecessarily. The estimates show wide variation in each of these three components of emissions (intensity) and provide a first empirical look into the plant-level variation that underlies carbon emissions.

Date: 2024-09
New Economics Papers: this item is included in nep-ene and nep-env
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https://www2.census.gov/library/working-papers/2024/adrm/ces/CES-WP-24-46.pdf First version, 2024 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:24-46

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