{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-11-25","version":"1"},"project_desc":{"authoring_entity":[{"name":"Enrique Aldaz-Carroll","email":"ealdazcarroll@worldbank.org","affiliation":"World Bank"},{"name":"Euijin Jung","affiliation":"World Bank","email":"ejung1@worldbank.org"},{"name":"Maryla Maliszewska","affiliation":"World Bank","email":"mmaliszewska@worldbank.org"},{"name":"Iryna Sikora","email":"isikora@worldbank.org","affiliation":"World Bank"}],"output":[{"type":"Working Paper","title":"Global Ripple Effects: Knock-on effects of EU, US, and China Climate Policies on Developing Countries\u2019 Trade","authors":"Enrique Aldaz-Carroll, Euijin Jung, Maryla Maliszewska, and Iryna Sikora","description":"Policy Research Working Paper (PRWP) 10988","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099404411262427372\/IDU1a2acff15188ab14ea51a7561bd72b8127c1d","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10988"}],"datasets":[{"name":"World Integrated Trade Solution Data","note":"Source: World Integrated Trade Solution (WITS) Data.\nLocated at: Data\/Dashboard_rawdata.xlsx (Figures 3, 7, 9, 10, 11, 12, and 13), and EG imports from China.xlsx (Figure 14); CBAM exposure index.xlsx (Figure 5).\nThe data is licensed and does not permit republication. However, the Excel file provides: a list of codes used to create the figures; details of all countries included; and the structure of the data. ","access_type":"Restricted and not included in the reproducibility package","uri":"https:\/\/wits.worldbank.org\/WITS\/WITS\/Restricted\/Login.aspx","license_uri":"https:\/\/wits.worldbank.org\/faqs.html#Databases"},{"name":"Eora Global Supply Chain Database","note":"Source: EORA.\n\nThe database was used alongside the methodology described by Baldwin, Freeman, and Theodorakopoulos (2023) to develop the GVC Exposure Indicator. Both the raw data and the generated indicator are temporarily embargoed. The reproducibility package will be updated when the embargo is lifted.\n\nHowever, the package includes the code file used to generate the indicator, as well as the structure of the resulting data in the Excel file. This file provides a list of products, countries, and specific data used to create the figures.\n\nLocated at: Data\/GVC Exposure Indicator.xlsx. Used to create Figures 4, 6, and 8.","access_type":"Restricted and not included in the reproducibility package","license_uri":"https:\/\/worldmrio.com\/licensing.jsp","uri":"https:\/\/worldmrio.com\/"},{"name":"Energy Transition Minerals Data","note":"Source: World Bank's Africa Team.\n\nThe data, shared directly by the Africa team, comprises the Energy Transition Minerals (ETM) reserves dataset. It includes information for six critical minerals essential for the energy transition: cobalt, copper, graphite, lithium, manganese, and nickel.\n\nLocation: CM reserve.xlsx (Used to create Table 3 in the paper).\n\nThere is no standard public channel to obtain this data. However, the Excel file includes the table as shown in the paper, as well as the structure of the data and list of countries and minerals included. The replicator verified that the values in the raw data match those shown in the table in the paper.  ","access_type":"Restricted and not included in the reproducibility package"},{"name":"Global Trade Analysis Project Data","note":"Source: Chepeliev, M., and Corong, E. (2022). \u201cRevisiting the Environmental Bias of Trade Policies Based on an Environmentally Extended GTAP MRIO Database.\u201d Center for Global Trade Analysis, Purdue University.\n\nLocated at: CBAM exposure index.xlsx (Used for Figure 5).\n\nThe data is restricted and not included in the package. However, the Excel file contains a list of products, allowing users to download the necessary data and replace the values in the appropriate cells to reproduce the figure.","access_type":"Restricted and not included in the reproducibility package","uri":"https:\/\/www.gtap.agecon.purdue.edu\/databases\/v10\/index.aspx"},{"name":"World Development Indicators","note":"Source: World Bank. \nLocated at: Data\/GDP.dta.\nIndicator consulted: GDP (current US$).","access_type":"Included with the package","uri":"https:\/\/data.worldbank.org\/indicator\/NY.GDP.MKTP.CD?locations=CH.","license":"Creative Commons Attribution 4.0 International License (CC BY 4.0)","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"name":"World Bank Country and Lending Groups","note":"Source: World Bank. \nLocated at: Other Data\/ISO_Region_Income.dta","access_type":"Published with the package","uri":"https:\/\/datahelpdesk.worldbank.org\/knowledgebase\/articles\/906519-world-bank-country-and-lending-groups","license":"Creative Commons Attribution 4.0 International License (CC BY 4.0)","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"software":[{"name":"Stata","version":"18 MP"},{"name":"Excel","version":"Microsoft Excel for Microsoft 365 MSO"}],"scripts":[{"file_name":"RR_WLD_2024_230.zip","zip_package":"RR_WLD_2024_230.zip","title":"Reproducibility package (partial data and Excel files) for Global Ripple Effects: Knock-on effects of EU, US, and China Climate Policies on Developing Countries\u2019 Trade","date":"2024-11","notes":"Computational reproducibility verified by the Development Impact (DIME) Analytics team, World Bank.","dependencies":"The reproducibility package does not use external dependencies."}],"title_statement":{"idno":"RR_WLD_2024_230","title":"Reproducibility package for Global Ripple Effects: Knock-on effects of EU, US, and China Climate Policies on Developing Countries\u2019 Trade"},"production_date":"2024-11","geographic_units":[{"name":"World","code":"WLD","type":"Region"}],"language":[{"name":"English","code":"EN"}],"data_statement":" Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.","repository_uri":[{"name":"Reproducible Research Repository (World Bank) ","uri":"https:\/\/reproducibility.worldbank.org"}],"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.","license":[{"name":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"affiliation":"World Bank","name":"Euijin Jung","email":"ejung1@worldbank.org"},{"name":"Reproducibility WBG ","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"technology_requirements":"~2 minutes run time for the Stata portion. ","technology_environment":"Paper exhibits were reproduced in a computer with the following specifications:\n\u2013 OS: Windows 11 Enterprise\n\u2013 Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz\n\u2013 Memory available: 15.7 GB\n\u2013 Software version: Stata version 18 MP","reproduction_instructions":"To reproduce this package a new user needs to follow these instructions.\n\n1. **Obtain and Organize the Data**\n- Access the licensed data and organize datasets into the correct folder structure as detailed in the README file and accompanying Excel sheets.  \n- Data for Table 3 is restricted and may be difficult to obtain. However, the final table used in the paper and the dataset structure are included in the relevant Excel sheet for reference.  \n\n2. **Process the Stata Portion** \na. **Run `1. data for figures` do file**: This will generate `Data for figures\/data for figures_v1.xlsx`, which is used for Figures 3, 7, 9, 10, 11, 12, and 13.  \nb. **Run `2. GVC` do file**: This will generate `Data for figures\/GVC Exposure Indicator.xlsx`, required for Figures 4, 6, and 8. **Note**: The raw data and the resulting indicator are embargoed and not included in the package. See data statement for more details. \n\n3. **Generate and Verify Figures**  \na. For Figures 3, 7, 9, 10, 11, 12, and 13:  verify that the included `data for figures_v1.xlsx` matches `data for figures_final.xlsx` and the paper.  \nb. For Figures 4, 6, and 8:  verify that the included `GVC Exposure Indicator.xlsx` matches `GVC Exposure Indicator_final.xlsx` and the paper. Note that this will only be possible once the embargoed data is included in the reproducibility package. \nc. For Figures 5 and 14, and Table 3: These figures were created manually. Refer to the README and relevant files for further instructions.  ","abstract":"The three major players in the global economy, the US, EU, and China, have been designing climate mitigation policies that will help reduce their carbon emissions but will also likely reshape developing countries\u2019 trade, prices, and access to technology. This paper examines developing countries\u2019 exposure to such changes. Overall, the policies are expected to curtail demand for fossil fuels, energy-intensive manufacturing, and agricultural exports linked to environmental degradation. They are also expected to open export opportunities in critical minerals, electric vehicles (EVs) and their components, and renewable energy technologies and components. The exposure of affected export sectors and the overall economy to these changes will vary across countries based on the orientation of their export sectors to the EU, US, and Chinese markets as well as the weight of affected exports in their economies. The climate policies will also likely reduce oil prices and raise critical mineral prices, help reduce the cost of green technologies and increase green foreign investment. The paper draws recommendations for developing countries, the EU, US, and China, as well as the international community on how best to help developing countries lessen the potential negative competitiveness effects of these climate policies and make the most of the opportunities for a faster green transition and economic development.  "},"tags":[{"tag":"DOI"}],"schematype":"script"}