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Data and Code for: Decompositions and Policy Consequences of an Extraordinary Decline in Air Pollution from Electricity Generation

Version
1
Resource Type
Dataset
Creator
  • Holland, Stephen (University of North Carolina-Greensboro)
  • Mansur, Erin (Dartmouth College)
  • Muller, Nicholas (Carnegie Mellon University)
  • Yates, Andrew (University of North Carolina-Chapel Hill)
Publication Date
2020-10-26
Free Keywords
environment; economics
Description
  • Abstract

    Using integrated assessment models, we calculate the economic value of the extraordinary decline in emissions from U.S. power plants. Annual local and global air pollution damages fell from $245 to $133 billion over 2010-2017. Decomposition shows changes in emissions rates and generation shares among coal and gas plants account for more of this decline than changes in renewable generation, electricity consumption, and damage valuations. Econometrically estimated marginal damages declined in the East from 8.6¢ to 6¢ per kWh. Marginal damages increased slightly in the West and Texas. These estimates indicate electric vehicles are now cleaner on average than gasoline vehicles.
Temporal Coverage
  • 2010-01-01 / 2017-12-31
    Time Period: Fri Jan 01 00:00:00 EST 2010--Sun Dec 31 00:00:00 EST 2017 (Some earlier data )
Geographic Coverage
  • contiguous United States
Availability
Download
This study is freely available to the general public via web download.
Relations
  • Is version of
    DOI: 10.3886/E112172
Publications
  • Holland, Stephen, Erin Mansur, Nicholas Muller, and Andrew Yates. “Decompositions and Policy Consequences of an Extraordinary Decline in Air Pollution from Electricity Generation.” American Economic Journal: Economic Policy, n.d.

Update Metadata: 2020-10-26 | Issue Number: 1 | Registration Date: 2020-10-26

Holland, Stephen; Mansur, Erin; Muller, Nicholas; Yates, Andrew (2020): Data and Code for: Decompositions and Policy Consequences of an Extraordinary Decline in Air Pollution from Electricity Generation. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E112172V1