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

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World Bank Policy Research Working Papers

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Apr 22, 2024

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May 09, 2025

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README for the reproducibility package for Decarbonization Investment Strategies in an Uncertain Climate

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Reproducibility package for Decarbonization Investment Strategies in an Uncertain Climate (Journal Article)

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Zip preview	PP_WLD_2025_340 LICENSE.txt README.pdf Reproducibility package codes 01_simplified_simulations.sh 02_mac_calibration.sh 03_effect_of_learning_low_linear.sh 04_temporal_redistribution_low_linear.sh 05_sectoral_response.sh 06_carbon_price_response.sh data cal ar6bs_17_glob.csv ar6bs_17_secs.csv ar6bs_2_glob.csv ar6bs_2_secs.csv ar6emis_17_glob.csv ar6emis_17_secs.csv ar6emis_2_glob.csv ar6emis_2_secs.csv ar6hi_17_glob.csv ar6hi_17_secs.csv ar6hi_2_glob.csv ar6hi_2_secs.csv ar6pow_17_glob.csv ar6pow_17_secs.csv ar6pow_2_glob.csv ar6pow_2_secs.csv ar6_15_glob.csv ar6_15_secs.csv ar6_17_glob.csv ar6_17_secs.csv ar6_17_short_glob.csv ar6_17_short_secs.csv ar6_2_glob.csv ar6_2_secs.csv ghq_roots.csv rec_15N1_T30_B8.csv rec_N1_T30_B3.csv rec_N1_T30_B8.csv rec_N1_T40_B10.csv rec_N1_T40_B500.csv rec_N1_T40_B6.csv simp_glob.csv simp_secs.csv output ar6bs_17_GHQ_TRUNC_invrec_output.nc ar6bs_17_N1_T30_B8_method3_invBS_rp_data.nc ar6bs_2_N1_T30_B8_method3_invBS_rp_data.nc ar6emis_17_inv_output.nc ar6emis_17_mac_output.nc ar6emis_17_N1_T30_B8_method3_inv_rp_data.nc ar6emis_17_N1_T30_B8_method3_mac_rp_data.nc ar6emis_2_inv_output.nc ar6emis_2_mac_output.nc ar6emis_2_N1_T30_B8_method3_inv_rp_data.nc ar6emis_2_N1_T30_B8_method3_mac_rp_data.nc ar6hi_17_inv_output.nc ar6hi_17_mac_output.nc ar6hi_17_N1_T30_B8_method3_inv_rp_data.nc ar6hi_17_N1_T30_B8_method3_mac_rp_data.nc ar6hi_2_inv_output.nc ar6hi_2_mac_output.nc ar6hi_2_N1_T30_B8_method3_inv_rp_data.nc ar6hi_2_N1_T30_B8_method3_mac_rp_data.nc ar6pow_17_inv_output.nc ar6pow_17_N1_T30_B8_method3_inv_rp_data.nc ar6pow_2_inv_output.nc ar6pow_2_N1_T30_B8_method3_inv_rp_data.nc ar6_15_15N1_T30_B8_method3_inv_rp_data.nc ar6_15_15N1_T30_B8_method3_mac_rp_data.nc ar6_15_inv_output.nc ar6_15_mac_output.nc ar6_17_inv_output.nc ar6_17_mac_output.nc ar6_17_N1_T30_B8_GHQ_TRUNC_invrec_output.nc ar6_17_N1_T30_B8_method3_inv_rp_data.nc ar6_17_N1_T30_B8_method3_mac_rp_data.nc ar6_17_short_N1_T40_B500_method2_inv_rp_data_short.nc ar6_2_inv_output.nc ar6_2_mac_output.nc ar6_2_N1_T30_B8_method3_inv_rp_data.nc ar6_2_N1_T30_B8_method3_mac_rp_data.nc simp_inv_output.nc simp_mac_output.nc simp_N1_T30_B3_GHQ_TRUNC_invrec_output.nc simp_N1_T30_B3_GHQ_TRUNC_macrec_output.nc figs 2025-4-28-mac-cal.png 2025-4-29-ar6-pfig-value-of-learning-quadbox.png 2025-4-29-ar6-sec-inv-eff-lt-t17.png 2025-4-29-ar6-temp-redist.png 2025-4-29-ar6bs-pfig-value-of-learning-duobox-withbs.png 2025-4-29-ar6emis-pfig-value-of-learning-quadbox.png 2025-4-29-ar6emis-temp-redist.png 2025-4-29-carbon-price-dists-data-t17.png 2025-4-29-simp.png 2025-4-29-t17-inv-base-rec-comparision-cost-secs-withbs.png 2025-4-30-ar6-pfig-value-of-learning-quadbox-t15.png 2025-4-30-ar6-temp-redist-t15.png 2025-4-30-ar6hi-pfig-value-of-learning-quadbox.png 2025-4-30-ar6hi-temp-redist.png 2025-4-30-ar6pow-temp-redist.png 2025-4-30-carbon-price-sensitivities.png 2025-5-1-ar6hi-temp-redist.png 2025-5-7-ar6pow-pfig-value-of-learning-quadbox.png figure_mains carbon_price_impact.py carbon_price_sensitivity.py comp_dac_no_dac.py effect_of_learning.py effect_of_learning_dac.py mac_cal.py sectoral_response.py simp.py src presets.py temporal_redist.py si01_dac_effect_of_learning.sh si02_dac_vs_no_dac_comp.sh si03_effect_of_learning_emis.sh si04_temporal_redistribution_emis.sh si05_effect_of_learning_high_linear.sh si06_temporal_redistribution_high_linear.sh si07_effect_of_learning_pow.sh si08_temporal_redistribution_pow.sh si09_effect_of_learning_t15.sh si10_temporal_redistribution_t15.sh si11_carbon_price_sensitivity.sh simulation_mains invBaseEmis_cvxpy_main.py invBase_cvxpy_main.py invRecBS_cvxpy_main.py invRecBS_RiskPrem_cvxpy_main.py invRecEmis_cvxpy_main.py invRecEmis_RiskPrem_cvxpy_main.py invRecExpBS_cvxpy_main.py invRecExpEmis_cvxpy_main.py invRecExp_cvxpy_main.py invRec_cvxpy_main.py invRec_RiskPremShort_cvxpy_main.py invRec_RiskPrem_cvxpy_main.py macAdj_cvxpy_main.py macBaseEmis_cvxpy_main.py macBase_cvxpy_main.py macRecEmis_cvxpy_main.py macRecEmis_RiskPrem_cvxpy_main.py macRecExpEmis_cvxpy_main.py macRecExp_cvxpy_main.py macRec_cvxpy_main.py macRec_RiskPrem_cvxpy_main.py src invBaseEmis_model.py invBase_model.py invRecBS_model.py invRecEmis_model.py invRecExpBS_model.py invRecExpEmis_model.py invRecExp_model.py invRec_model.py macBaseEmis_model.py macBase_model.py macRecEmis_model.py macRecExpEmis_model.py macRecExp_model.py macRec_model.py tree.py TAXONOMY_CVXPY.md delayed_learning_reprod_env.yml reproducibility_report_PP_WLD_2025_340.pdf

Reproducibility package for How Delayed Learning about Climate Uncertainty Impacts Decarbonization Investment Strategies (Working Paper)

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Zip preview	RR_WLD_2024_106 LICENSE README.pdf Reproducibility package .gitignore 01_mac_calibration.sh 02_effect_of_learning_low_linear.sh 03_temporal_redistribution_low_linear.sh 04_sectoral_response.sh 05_carbon_price_response.sh data .gitignore cal ar6_15_glob.csv ar6_15_secs.csv ar6_17_glob.csv ar6_17_secs.csv ar6_2_glob.csv ar6_2_secs.csv ar6bs_15_glob.csv ar6bs_15_secs.csv ar6bs_17_glob.csv ar6bs_17_secs.csv ar6bs_2_glob.csv ar6bs_2_secs.csv ar6emis_15_glob.csv ar6emis_15_secs.csv ar6emis_17_glob.csv ar6emis_17_secs.csv ar6emis_2_glob.csv ar6emis_2_secs.csv ar6hi_15_glob.csv ar6hi_15_secs.csv ar6hi_17_glob.csv ar6hi_17_secs.csv ar6hi_2_glob.csv ar6hi_2_secs.csv ar6pow_15_glob.csv ar6pow_15_secs.csv ar6pow_17_glob.csv ar6pow_17_secs.csv ar6pow_2_glob.csv ar6pow_2_secs.csv ghq_roots.csv rec_15N1_T30_B8.csv rec_N1_T30_B8.csv rec_N1_T40_B10.csv rec_N1_T40_B500.csv rec_N1_T40_B6.csv output ar6pow_17_inv_output.nc ar6pow_17_mac_output.nc ar6pow_2_inv_output.nc ar6pow_2_mac_output.nc ar6pow_2_N1_T30_B8_method3_inv_rp_data.nc ar6pow_2_N1_T30_B8_method3_mac_rp_data.nc delayed_learning_reprod_env.yml figs 2024-5-21-ar6-pfig-value-of-learning-quadbox-t15.png 2024-5-27-ar6-pfig-value-of-learning-quadbox.png 2024-5-27-ar6-sec-inv-eff-lt-t17.png 2024-5-27-ar6-total-cost-ind-cutoff-2030.png 2024-5-28-t17-inv-base-rec-comparision-cost-secs-withbs.png figure_mains carbon_price_impact.py comp_dac_no_dac.py effect_of_learning.py effect_of_learning_dac.py mac_cal.py sectoral_response.py src .gitignore __pycache__ presets.cpython-311.pyc presets.py temporal_redist.py si01_dac_effect_of_learning.sh si02_dac_vs_no_dac_comp.sh si03_effect_of_learning_emis.sh si04_temporal_redistribution_emis.sh si05_effect_of_learning_high_linear.sh si06_temporal_redistribution_high_linear.sh si07_effect_of_learning_pow.sh si08_temporal_redistribution_pow.sh si09_effect_of_learning_t15.sh si10_temporal_redistribution_t15.sh simulation_mains .invRec_RiskPrem_cvxpy_main.py.swp invBase_cvxpy_main.py invBaseEmis_cvxpy_main.py invRec_cvxpy_main.py invRec_RiskPrem_cvxpy_main.py invRec_RiskPremShort_cvxpy_main.py invRecBS_cvxpy_main.py invRecBS_RiskPrem_cvxpy_main.py invRecEmis_cvxpy_main.py invRecEmis_RiskPrem_cvxpy_main.py invRecExp_cvxpy_main.py invRecExpBS_cvxpy_main.py invRecExpEmis_cvxpy_main.py macAdj_cvxpy_main.py macBase_cvxpy_main.py macBaseEmis_cvxpy_main.py macRec_cvxpy_main.py macRec_RiskPrem_cvxpy_main.py macRecEmis_cvxpy_main.py macRecEmis_RiskPrem_cvxpy_main.py macRecExp_cvxpy_main.py macRecExpEmis_cvxpy_main.py src .gitignore __pycache__ invBase_model.cpython-311.pyc invBase_model.cpython-39.pyc invBaseEmis_model.cpython-311.pyc invRec_model.cpython-311.pyc invRec_model.cpython-39.pyc invRecBS_model.cpython-311.pyc invRecEmis_model.cpython-311.pyc invRecExp_model.cpython-311.pyc invRecExpBS_model.cpython-311.pyc invRecExpEmis_model.cpython-311.pyc macBase_model.cpython-311.pyc macBase_model.cpython-39.pyc macBaseEmis_model.cpython-311.pyc macRec_model.cpython-311.pyc macRec_model.cpython-39.pyc macRecEmis_model.cpython-311.pyc macRecExp_model.cpython-311.pyc macRecExpEmis_model.cpython-311.pyc tree.cpython-311.pyc invBase_model.py invBaseEmis_model.py invRec_model.py invRecBS_model.py invRecEmis_model.py invRecExp_model.py invRecExpBS_model.py invRecExpEmis_model.py macBase_model.py macBaseEmis_model.py macRec_model.py macRecEmis_model.py macRecExp_model.py macRecExpEmis_model.py tree.py TAXONOMY_CVXPY.md reproducibility_report_RR_WLD_2024_106-v05.pdf

Reproducibility verification for Decarbonization Investment Strategies in an Uncertain Climate

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