{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-11-26","version":"1"},"project_desc":{"authoring_entity":[{"name":"Jangho Yang","affiliation":"University of Waterloo, University of Oxford","email":"j634yang@uwaterloo.ca"},{"name":"Christian Schoder","email":"cschoder@worldbank.org ","affiliation":"World Bank"}],"output":[{"type":"Working Paper","description":"Policy Research Working Paper (PRWP)","title":"Impact of temperature uncertainty on firm growth: A grid-level analysis","authors":"Jangho Yang and Christian Schoder"}],"datasets":[{"name":"Temperature Gridded Data","note":"Source: Berkeley Earth Foundation dataset (BERKEARTH).\nLocation: 1 Weather data construction\/source data\/.\n\nTo download the raw data, users can follow the link provided below, create an account, and select the following options:\nDataset: BERKEARTH;\nRegion: Global;\nVariable: Temperature anomaly;\nStatistic: Maximum;\nFrequency: Daily;\nTime Period: 2000 to 2019.\nVersion: v1.0","uri":"https:\/\/cds.climate.copernicus.eu\/datasets\/insitu-gridded-observations-global-and-regional?tab=download","access_type":"Included with the package","license":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International","license_uri":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/deed.en"},{"name":"Orbis","note":"Source: Orbis data, administered by Bureau van Dijk.  \nAccessed via: Wharton Research Data Services (WRDS) license, University of Waterloo.  \nLocation:  \n- `2.Firm-level data construction and merging\/source_data\/Location_city.csv`  \n- `3.Analysis\/orbis_summ.csv`  \n- `3.Analysis\/orbis_summ_nace.csv`  \n\nNote: This dataset is restricted and therefore not included in the package.  \n- Data covers the period from 2001 to 2019.  \n- The list of countries is stored in `orbis_summ.csv` and `orbis_summ_nace.csv` for reference.  \n\nFor more details, please refer to the README file.","access_type":"Restricted and not included in the package","uri":"https:\/\/login.bvdinfo.com\/R1\/Orbis","license_uri":"https:\/\/www.moodys.com\/web\/en\/us\/legal\/terms-of-use.html"},{"name":"World Development Indicators","note":"Source: World Bank. \nLocation: 2.Firm-level data construction and merging\/source data\/WorldBank_Deflator.csv. \nVariable used: GDP Deflator","access_type":"Included with the package","license":"Creative Commons Attribution 4.0 International License (CC BY 4.0)","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","uri":"https:\/\/data.worldbank.org\/indicator\/NY.GDP.DEFL.KD.ZG"},{"name":"World Bank Country and Lending Groups","uri":"https:\/\/datahelpdesk.worldbank.org\/knowledgebase\/articles\/906519-world-bank-country-and-lending-groups","access_type":"Included with the package","license":"Creative Commons Attribution 4.0 International License (CC BY 4.0)","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","note":"Source: World Bank.\nLocation: 3.Analysis\/data\/WB_income_level.csv"},{"name":"Google Maps API","note":"Source: Google. \nThis dataset was used to retrieve missing locations in the Orbis dataset. The code to retrieve it is included in the package (2.Firm-level data construction and merging\/code\/1.Location_matching_indexing_WB_vetting.R). ","access_type":"Included in the package","uri":"https:\/\/developers.google.com\/maps\/documentation\/embed\/usage-and-billing#:~:text=Pricing%20for%20the%20Maps%20Embed%20API,-The%20following%20prices&text=All%20Maps%20Embed%20API%20requests,no%20charge%20with%20unlimited%20usage.","license_uri":"https:\/\/cloud.google.com\/maps-platform\/terms\/?_gl=1*1nnfdkb*_ga*MTcyODM1MzMzOC4xNzMzNDMwOTM2*_ga_NRWSTWS78N*MTczMzQzMDkzNi4xLjEuMTczMzQzMDkzOC4wLjAuMA..#3-license","license":"Google Maps Platform Terms of Service"}],"title_statement":{"idno":"RR_WLD_2024_228","title":"Reproducibility package for Impact of temperature uncertainty on firm growth: A grid-level analysis"},"production_date":"2024-11","abstract":"This study examines the impact of temperature uncertainty on firm fixed capital growth using a unique dataset that merges extensive firm-level financial data with detailed grid-level weather data.\nOur analysis reveals a strong negative relationship between temperature uncertainty and fixed capital growth. Furthermore, the impact varies significantly across industries with differing levels of investment irreversibility and among countries with varying income levels. Specifically, firms in industries characterized by high investment irreversibility and those operating in higher-income countries experience more pronounced declines in fixed asset growth due to temperature uncertainty.","geographic_units":[{"name":"World","code":"WLD","type":"Region"}],"keywords":[{"name":"temperature uncertainty"},{"name":"firms\u2019 fixed asset growth"},{"name":"investment irreversibility"},{"name":"income level "},{"name":"heterogeneity"}],"language":[{"name":"English","code":"EN"}],"data_statement":"Some data is restricted and is not included in the reproducibility package. For more details, please refer to the README file.","software":[{"name":"R","version":"4.4.1"}],"scripts":[{"file_name":"RR_WLD_2024_228.zip","zip_package":"RR_WLD_2024_228.zip","title":"Reproducibility package (partial data and code) for Impact of temperature uncertainty on firm growth: A grid-level analysis","date":"2024-12","dependencies":"All dependencies are stored on the renv.lock file. ","notes":"Computational reproducibility verified by the Development Impact (DIME) Analytics team, World Bank."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank) ","uri":"https:\/\/reproducibility.worldbank.org"}],"reproduction_instructions":"- The package consists of three main steps:\n  1. **Weather Data Construction**: Fully reproducible and can be run independently.\n  2. **Firm-Level Data Construction**: Requires Orbis data and cannot be run without access.\n  3. **Analysis**: Replicators used intermediate data provided by the authors, but this data is not included in the package due to restrictions.\n- The **Orbis dataset** (a restricted, proprietary dataset) is the main data source for this package. As such, **Steps 2 and 3 cannot be fully reproduced** without access to Orbis. Therefore, The results generated by the replicators (Step 3) are included in the folder:  \n  `3.Analysis\/output_temp` so that users can compare this against the paper.\n- To fully reproduce the package users need to request access to the Orbis dataset and run Steps 2 and 3. See more details in the README file.","technology_environment":"Paper exhibits were reproduced in a computer with the following specifications:\n\u2013 OS: Windows 10 Enterprise\n\u2013 Processor:\tIntel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 2900 Mhz, 16 Core(s), 16 Logical Processor(s)\n\u2013 Memory available: 15.7 GB\n\u2013 Software version: R version 4.4.1","technology_requirements":"~5 hours run time for Analysis code `3.Analysis\/code\/`","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":[[],{"name":"Reproducibility WBG ","affiliation":"World Bank","email":"reproducibility@worldbank.org"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}