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

September 2024

Working Paper Number:

CES-24-46

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.

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:
estimating, disclosure, efficiency, imputation, fuel, consumption, emission, electricity, energy, epa, gdp

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:
Center for Economic Studies, Energy Information Administration, Manufacturing Energy Consumption Survey, Census of Manufacturing Firms, Research Data Center, North American Industry Classification System, Special Sworn Status, Census Bureau Disclosure Review Board, Duke University, Disclosure Review Board, Social Science Research Institute, Federal Statistical Research Data Center

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