Data and Code for: Border Carbon Adjustments When Carbon Intensity Varies Across Producers: Evidence from California

Principal Investigator(s):  View help for Principal Investigator(s) Meredith Fowlie, University of California-Berkeley; Claire Petersen, Northwestern University; Mar Reguant, Northwestern University

Version:  View help for Version V1

Version Title:  View help for Version Title Adjust title

Name File Type Size Last Modified
  analysis 01/28/2021 01:29:PM
  build 01/28/2021 01:28:PM
README.pdf application/pdf 143.1 KB 01/28/2021 11:33:AM
main.sh application/x-sh 693 bytes 01/28/2021 09:19:AM

Project Citation: 

Fowlie, Meredith, Petersen, Claire, and Reguant, Mar. Data and Code for: Border Carbon Adjustments When Carbon Intensity Varies Across Producers: Evidence from California. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-05-13. https://doi.org/10.3886/E131024V1

Project Description

Summary:  View help for Summary These files contain the programs and data for the journal article "Border Carbon Adjustments When Carbon Intensity Varies Across Producers: Evidence from California," American Economic Journal.
Abstract:
Governments taxing carbon emissions within their jurisdiction can impose a commensurate tax on emissions embodied in imports in order to mitigate emissions leakage.  California offers a rare opportunity to investigate how a border carbon adjustment (BCA) is working in practice. Experience to date highlights important tensions between GHG accounting accuracy, market efficiency, and concerns about trade protectionism.  We simulate electricity market outcomes under BCA designs that differ in terms of how the carbon intensity of imports is assessed. Simulations suggest significant potential for leakage via resource shuffling. Realized emissions outcomes indicate that this potential has not been fully realized.
Funding Sources:  View help for Funding Sources NSF (SES-1455084)

Scope of Project

Subject Terms:  View help for Subject Terms economic policy; energy policy; cap and trade; electric utilities
JEL Classification:  View help for JEL Classification
      L94 Electric Utilities
      Q40 Energy: General
      Q48 Energy: Government Policy
Geographic Coverage:  View help for Geographic Coverage WECC (Western Electricity Coordinating Council)
Time Period(s):  View help for Time Period(s) 1/1/2019 – 12/31/2019 (EIA, California ISO); 1/2018 – 12/2018 (EPA)
Collection Date(s):  View help for Collection Date(s) 12/1/2020 – 12/31/2020 (December 2020)
Data Type(s):  View help for Data Type(s) administrative records data; aggregate data
Collection Notes:  View help for Collection Notes The 365 OASIS files were downloaded automatically using an API coupled with python coding.

Methodology

Data Source:  View help for Data Source EIA - U.S. Electric Operating System Data, 2019
California ISO - OASIS, 2019
US EPA - eGRID, 2018
Weights:  View help for Weights (OASIS, EIA) Hourly electricity price, consumption, and production data were consolidated into 100 bins using a k-means clustering algorithm.
Unit(s) of Observation:  View help for Unit(s) of Observation Hourly electricity price, consumption, and production
Geographic Unit:  View help for Geographic Unit Regions in the WECC (4)

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V1 [2021-05-13]

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