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PRWP

Reproducibility package for At The Edge Of Risk: Assessing Mongolia’s ‘Plausible Worst-Case’ Scenario

2026
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Reference ID
RR_MNG_2026_591
DOI
https://doi.org/10.60572/ee39-qr40
Author(s)
Migle Petrauskaite, Hector Pollitt, Xinru Lin
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Mar 18, 2026
Last modified
Mar 24, 2026
Page views
23
Downloads
10
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    This paper develops a plausible worst-case scenario for Mongolia in which three major disasters—a sudden collapse in coal exports to China, a prolonged dzud, and a severe flood in Ulaanbaatar—occur in quick succession. While each event has precedent in Mongolia, an increasingly unstable climate raises the likelihood of their overlap within the next 20 years. Conventional estimates of climate damages fail to capture the country’s exposure to compounding economic shocks, which could undermine development and disproportionately affect vulnerable groups. This analysis finds that the convergence of these three crises could result in a 20 percent negative shock to annual GDP over a three-year period, severely disrupting output and employment. The findings underscore the need for policy decisions based on worst-case scenarios rather than mean projections, emphasizing proactive adaptation measures to mitigate systemic risks. The paper highlights key vulnerabilities and calls for a shift from reactive crisis response to strategic preparedness, multi-sectoral coordination, and resilience planning to safeguard Mongolia’s economic future.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/catalog/507/download/1475/README.pdf
    Reproducibility package for At The Edge Of Risk: Assessing Mongolia’s ‘Plausible Worst-Case’ Scenario
    File name
    RR_MNG_2026_591
    Zip package
    RR_MNG_2026_591.zip
    Title
    Reproducibility package for At The Edge Of Risk: Assessing Mongolia’s ‘Plausible Worst-Case’ Scenario
    Date
    2026-03
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Python
    Name
    Python
    Version
    3.11.7

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise
    • Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ 2.80 GHz (4 processors)
    • Memory available: 32 GB

    Technology requirements

    Run time: ~ 1 hour

    Reproduction instructions

    To reproduce the findings in this paper, a replicator must:

    1. Secure Access to Data: Access the datasets not included in the package. See subsection Datasets for more details.
    2. Download and Place Data: Once the data is accessed, users should place it in the appropriate folder.
    3. Run the Package: After placing the data in the folder, recreate the environment using the requirenments.txt file and run the file run.cmd.

    Since all the data is not included, the package includes the results produced by replicators. These files can be used to review the results presented in the paper.

    Data

    Datasets
    Global Resource Input Output Assessment (GLORIA) database
    Name
    Global Resource Input Output Assessment (GLORIA) database
    Note
    Data accessed in April 2023 (version v57). The GLORIA (Global Resource Input-Output Assessment) database is a Multi-Regional Input-Output (MRIO) database that was built using the IELab infrastructure, by the University of Sydney for the UN International Resource Panel (UN IRP) in the context of the update of the material footprint accounts forming part of the UN IRP Material Flows Database . File Location: Gloria_db/
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License URL
    https://ielab.info/about-terms
    Data URL
    https://ielab.info/labs/ielab-gloria
    Citation
    Industrial Ecology Virtual Lab. 2021. “Global Resource Input Output Assessment (GLORIA) database”. https://ielab.info/assets/resources/Technical_Documentation_GLORIA_20210913.pdf
    MINDSET 2.0 Model Input Data (GLORIA Template)
    Name
    MINDSET 2.0 Model Input Data (GLORIA Template)
    Note
    Data accessed in March 2026. Documentation can be found at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6188978 File Location: Gloria_template directory and sub-directories (except ‘Scenarios’)
    Access policy
    Data is forthcoming in the World Bank Development Data Hub.
    Citation
    Kiss-Dobronyi, Bence and Brancher, Marco and Dorband, Ira Irina and Pollitt, Hector and Byambasuren, Binderiya and Lin, Xinru and Hartvig, Áron Dénes and Lehr, Ulrike, MINDSET 2.0 Model [dataset]. March 2026. Forthcoming on Development Data Hub.
    Scenario Input Files (Mongolia Worst-Case)
    Name
    Scenario Input Files (Mongolia Worst-Case)
    Note
    Data compiled by the authors. Each file sets up part of the worst-case scenario for Mongolia. Y1, Y2, and Y3 in the file names indicate the year of the shock. Coal shocks are modeled as a direct loss of final demand, while the flood shock (year 3) and dzud impacts capture net trade effects — either lost exports or lost production replaced by imports. Dzud impacts are derived by subtracting the coal and flood shocks from the full scenario totals. All scenario changes are made to the worksheet "fd_trade", with inputs defined by sector using the GLORIA classification. Files: Scenarios folder (MNG_worst_case_coal_Y1.xlsx, MNG_worst_case_coal_Y2.xlsx, MNG_worst_case_coal_Y3.xlsx, MNG_worst_case_flood.xlsx, MNG_worst_case_Y1.xlsx, MNG_worst_case_Y2.xlsx, MNG_worst_case_Y3.xlsx)
    Access policy
    Data is publicly available and included in the reproducibility package.
    Citation
    Petrauskaite, M., Pollitt, H., and Lin, X. (2026). Scenario Input Files (Mongolia Worst-Case) [dataset]. March 2026.
    Data statement

    Some data is limited-access and has not been included in the reproducibility package. For more details, please refer to the README file.

    Description

    Output
    At The Edge Of Risk: Assessing Mongolia’s ‘Plausible Worst-Case’ Scenario
    Type
    Working Paper
    Title
    At The Edge Of Risk: Assessing Mongolia’s ‘Plausible Worst-Case’ Scenario
    Description
    Policy Research Working Papers (PRWP)
    Authors
    Author Affiliation Email
    Migle Petrauskaite World Bank mpetrauskaite@worldbank.org
    Hector Pollitt World Bank hpollitt@worldbank.org
    Xinru Lin World Bank xlin5@worldbank.org
    Date of production

    2026-03-17

    Scope and coverage

    Geographic locations
    Location Code
    Mongolia MNG
    Keywords
    Climate Risk Cascading Disasters Scenario Modeling
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    D81 Criteria for Decision-Making under Risk and Uncertainty D8 Journal of Economic Literature (JEL)
    E17 Forecasting and Simulation: Models and Applications E1 Journal of Economic Literature (JEL)
    Q51 Valuation of Environmental Effects Q5 Journal of Economic Literature (JEL)
    Q54 Climate • Natural Disasters and Their Management • Global Warming 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.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Migle Petrauskaite World Bank mpetrauskaite@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

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

    2026-03-17

    Document version

    1

    Citation

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