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PRWP

Reproducibility package for How Delayed Learning about Climate Uncertainty Impacts Decarbonization Investment Strategies

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Reference ID
RR_WLD_2024_106
DOI
https://doi.org/10.60572/0jyn-4x43
Author(s)
Adam Michael Bauer, Florent McIsaac, Stéphane Hallegatte
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Apr 22, 2024
Last modified
May 09, 2025
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Version statement
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    The Paris Agreement established that global warming should be limited to “well below” 2 ◦C and encouraged efforts to limit warming to 1.5 ◦C. Achieving this goal presents a challenge, especially given (i) adjustment costs, which penalize a swift transition away from fossil fuels owing to, e.g., skilled labor scarcity, and (ii) climate uncertainty that complicates the link between emissions reductions and global warming. This paper presents a modeling framework that explores optimal decarbonization investment strategies with adjustment costs and climate uncertainty. The findings show that climate uncertainty impacts investment in three ways: (i) the cost of policy increases, especially when adjustment costs are present; (ii) abatement investment is front-loaded relative to a scenario without uncertainty; and (iii) the sectors with the largest changes in investment are those that are “hard-to-abate”, such as heavy industry and agriculture, each of which have high investment costs and annual emission rates. The longer learning about climate uncertainty is delayed, the more these impacts are amplified. Each of these effects can be traced back to the carbon price distribution inheriting a “heavy tail” when climate uncertainty is present. The paper highlights how climate uncertainty and adjustment costs combined lead to heightened urgency for near-term investments in decarbonization.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/129/download/816/README.pdf
    Reproducibility package for Working Paper - How Delayed Learning about Climate Uncertainty Impacts Decarbonization Investment Strategies
    Title
    Reproducibility package for Working Paper - How Delayed Learning about Climate Uncertainty Impacts Decarbonization Investment Strategies
    Date
    2024-04
    Dependencies
    All dependencies are stored in the delayed_learning_reprod_env.yml file contained in the reproducibility package. Users can recreate the environment by moving to the directory using the terminal, running "conda env create -f delayed_learning_reprod_env.yml", followed by "conda activate wbg"
    Notes
    Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.
    Reproducibility package for Journal Article - Decarbonization Investment Strategies in an Uncertain Climate
    Title
    Reproducibility package for Journal Article - Decarbonization Investment Strategies in an Uncertain Climate
    Date
    2025-05
    Dependencies
    All dependencies are stored in the delayed_learning_reprod_env.yml file contained in the reproducibility package. Users can recreate the environment by moving to the directory using the terminal, running "conda env create -f delayed_learning_reprod_env.yml", followed by "conda activate wbg"
    Notes
    Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.
    Source code repository
    Repository name Type URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    BMH-delayed-learning-reprod Github https://github.com/adam-bauer-34/BMH-delayed-learning-reprod/
    Software
    Python
    Name
    Python
    Version
    Working Paper: 3.9; Journal Article 3.12
    Gurobi
    Name
    Gurobi
    Version
    Working Paper: 11.0.1; Journal Article: 12.0.1

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise, version 21H2
    • Processor: Processor Intel(R) Core(TM) Ultra 7 165U, 2100 Mhz, 12 Core(s), 14 Logical Processor(s)
    • Memory available: 32 GB
    • Software version: Python 3.12, Gurobi 12.0.1

    Technology requirements

    ~4 hours runtime

    Reproduction instructions

    To replicate this package, please follow these steps:

    1. Set up the environment
      Install the required dependencies and activate the correct computing environment as described in the README.
    2. Install Gurobi and obtain an academic license
      • Register for an academic license and download the Gurobi Optimizer at gurobi.com.
      • Follow Gurobi’s installation and license activation instructions.
    3. Run the replication scripts sequentially Use the provided Bash scripts in order, as listed in the README file.

    Note: If you are unable to obtain or install Gurobi, the outputs produced by the replicator are included in the packages for reference.

    Data

    Datasets
    Carbon Budget Data
    Name
    Carbon Budget Data
    Note
    Source: Dvorak et al., 2022
    Access policy
    Published with package
    Data URL
    https://www.nature.com/articles/s41558-022-01372-y
    Marginal Abatement Costs and Abatement Potentials Data
    Name
    Marginal Abatement Costs and Abatement Potentials Data
    Note
    Source: Intergovernmental Panel on Climate Change's Sixth Assessment Report
    Access policy
    Published with package
    Data URL
    https://www.ipcc.ch/report/ar6/wg3/downloads/report/IPCC_AR6_WGIII_SummaryForPolicymakers.pdf
    Capital Depreciation Rates Data
    Name
    Capital Depreciation Rates Data
    Note
    Source: Philibert, C., 2007
    Access policy
    Published with package
    Data URL
    https://www.osti.gov/etdeweb/biblio/20962174
    Social Discount Rate
    Name
    Social Discount Rate
    Note
    Source: Drupp et al., 2018
    License URL
    https://www.aeaweb.org/articles?id=10.1257/pol.20160240
    Data statement

    All data sources are publicly available and included in the reproducibility package.

    Description

    Output
    How Delayed Learning about Climate Uncertainty Impacts Decarbonization Investment Strategies
    Type
    Working Paper
    Title
    How Delayed Learning about Climate Uncertainty Impacts Decarbonization Investment Strategies
    Authors
    Adam Michael Bauer, Florent McIsaac, and Hallegatte Stéphane
    Description
    Policy Research Working Paper (PRWP) 10743
    URL
    http://documents.worldbank.org/curated/en/099829103282438373/IDU1f2d86d77127091490d1a6df1dc342f15d10b
    DOI
    https://doi.org/10.1596/1813-9450-10743
    Decarbonization Investment Strategies in an Uncertain Climate
    Type
    Journal Article
    Title
    Decarbonization Investment Strategies in an Uncertain Climate
    Authors
    Adam Michael Bauer Florent McIsaac , and Stéphane Hallegatte
    Description
    Forthcoming in Earth’s Future
    Authors
    Author Affiliation Email
    Adam Michael Bauer University of Illinois Urbana-Champaign adammb4@illinois.edu
    Florent McIsaac World Bank fmcisaac@worldbank.org
    Stéphane Hallegatte World Bank shallegatte@worldbank.org
    Date of production

    Working Paper: 2024-04; Journal Article: 2025-05

    Scope and coverage

    Geographic locations
    Location Code
    World WLD
    Keywords
    green investment adjustment costs stochastic modeling climate risk carbon price
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    E10 General Aggregative Models • General E1 Journal of Economic Literature (JEL)
    Q50 Environmental Economics • General Q5 Journal of Economic Literature (JEL)
    Q54 Climate • Natural Disasters and Their Management • Global Warming Q5 Journal of Economic Literature (JEL)
    Q58 Government Policy Q5 Journal of Economic Literature (JEL)

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Version statement

    Version

    2

    Access and rights

    License
    Name URI
    MIT license https://opensource.org/license/mit/

    Contacts

    Contacts
    Name Affiliation Email
    Adam Michael Bauer University of Illinois Urbana-Champaign adammb4@illinois.edu
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DIME World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    Working Paper: 2024-04-22; Journal Article: 2025-05-09

    Document version

    2

    Citation

    Citation
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