{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-05-06","version":"1"},"project_desc":{"authoring_entity":[{"name":"Jacqueline Mosomi","affiliation":"Southern Africa Labour and Development Research Unit (SALDRU) - University of Cape Town","email":" jacqueline.mosomi@uct.ac.za"},{"name":"Wendy Cunningham","affiliation":"World Bank","email":"wcunningham@worldbank.org"}],"output":[{"type":"Working paper","title":"Profiling Green Jobs and Workers in South Africa: An occupational tasks approach","description":"Policy Research Working Paper (PRWP) WPS10779","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099216105212422316","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10779"}],"datasets":[{"name":"Post Apartheid Labour Market Series 1993-2019 (PALMS) version 3.3","uri":"https:\/\/www.datafirst.uct.ac.za\/dataportal\/index.php\/catalog\/434\/get-microdata","note":"The Post-Apartheid Labour Market Series (PALMS) version 3.3 is a stacked cross-sectional dataset created by DataFirst at the University of Cape Town. The data consists of microdata from 69 household surveys conducted by Statistics South Africa between 1994 and 2019, as well as the 1993 Project for Statistics on Living Standards and Development conducted by SALDRU at UCT. The Statistics South Africa surveys include the October Household Surveys from 1994 to 1999, the bi-annual Labour Force Surveys from 2000-2007, including the smaller LFS pilot survey from February 2000, and the Quarterly Labour Force Surveys from 2008-2019. Data was accessed in December 2022. File used: \"palmsv3.3-stata11.dta\".","access_type":"The dataset is public but cannot be redistributed. Data can be downloaded after registration in the Data URL."},{"name":"Quarterly Labour Force Survey 2019, Quarter 3","note":"The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa. Data was accessed on December 2022. Data file: \"qlfs-2019-q3-worker-1.0-stata11.dta\".","access_type":"The dataset is public but cannot be redistributed. Data can be downloaded after registration in the Data URL.","uri":"https:\/\/www.datafirst.uct.ac.za\/dataportal\/index.php\/catalog\/794\/study-description"},{"access_type":"The dataset is public but cannot be redistributed. Data can be downloaded after registration in the Data URL.","uri":"https:\/\/www.datafirst.uct.ac.za\/dataportal\/index.php\/catalog\/795\/get-microdata","note":"The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa. Data was accessed in December 2022. Data file: \"qlfs-2019-q4-worker-1.0-stata11.dta\".","name":"Quarterly Labour Force Survey 2019, Quarter 4"},{"name":"Tasks data from Granata, J. and Posadas, J. (2024)","access_type":"The dataset is public but cannot be redistributed. Data can be downloaded in the Data URL.","note":"The dataset is a dictionary of green terms for identifying green tasks and occupations, developed for \"Why Look at Tasks When Designing Skills Policy for the Green Transition? A Methodological Note on How to Identify Green Occupations and the Skills They Require\" by Julia Granata and Josefina Posadas. Data was accessed on September 2022. File names: \"Dictionary of green terms 11 11 21 SA.xlsx\" and \"ISCOGroups_en.xls\".","uri":"https:\/\/datacatalog.worldbank.org\/int\/search\/dataset\/0066087"},{"name":"ISCO88-ISCO08 crosswalk from the ILO","note":"Data was accessed on April 2020. File name: \"crosswalk_isco08_isco88.xlsx\".","uri":"https:\/\/www.ilo.org\/resource\/correspondence-table-isco08-isco88","license_uri":"https:\/\/www.ilo.org\/rights-and-permissions","access_type":"Dataset is public and included in the reproducibility package"}],"software":[{"name":"Stata","version":"17"}],"scripts":[{"file_name":"RR_ZAF_2024_124-v01","zip_package":"RR_ZAF_2024_124-v01.zip","title":"Reproducibility package for Profiling Green Jobs and Workers in South Africa: An occupational tasks approach","date":"2024-04","instructions":"See README in reproducibility package.","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.","dependencies":"Stata: grc1leg, plotplainblind, dups, grstyle, palettes, outreg2, colrspace. Dependency files for Stata are included in the folder \"dofiles1\/ado\"."}],"title_statement":{"idno":"RR_ZAF_2024_124","title":"Reproducibility package for Profiling Green Jobs and Workers in South Africa: An occupational tasks approach"},"production_date":"2024-04","abstract":"To adequately prepare the labor force for the green economy, policymakers and workers require a detailed understanding of the nature of green jobs. This study profiles green jobs in the South African labour market. We use labour force survey data and apply an occupational task-based approach to identify current green occupations and associated jobs, count them, and profile their workers and wages. We find that 5.5 percent to 32 percent of South Africa\u2019s jobs can be labelled as \u201cgreen\u201d, where the former estimate uses a strict definition and the latter uses a broad definition. The share of strictly green jobs has not changed over eight years. While 65 percent of strictly green occupations can be classified as high (skill)-occupations, only 55 percent of workers are in these occupations, reflecting numerous employment opportunities in mid-level and elementary green occupations. Strictly green occupations tend to be male-dominated and held by prime-age (25-44) workers with post-secondary school. However, the profile of those in the greenest of the green occupations are older (age 45-65) workers and black African with lower than matric qualifications. Policies to prepare South Africans to engage in the green economy include developing a strategy to teach new and existing workers to use green technologies, targeting green occupations in youth development programs, making a concerted effort to support women in STEM, helping low-skilled green workers to organize and improve their work conditions, and continuing to collect and analyze data to better track South Africa\u2019s progress in becoming a green labour force.","geographic_units":[{"name":"South Africa","code":"ZAF"}],"keywords":[{"name":"green jobs"},{"name":"green occupations"},{"name":"South Africa"},{"name":"task-based approach"},{"name":"labour market structure"}],"topics":[{"id":"J21","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Labor Force and Employment, Size, and Structure ","parent_id":"J2"},{"id":"O55","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Economywide Country Studies - Africa","parent_id":"O5"},{"id":"Q01","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Sustainable Development","parent_id":"Q"},{"id":"O50","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Economywide Country Studies - General","parent_id":"O5"}],"data_statement":"Four datasets are public but can't be redistributed in the reproducibility package. One dataset is public and included in the reproducibility package. Details on each dataset can be found in the list above.","repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"technology_requirements":"Runtime: 90 minutes","technology_environment":"Paper exhibits were reproduced on 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 17","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":"Wendy Cunningham","email":"wcunningham@worldbank.org","affiliation":"World Bank"},{"name":"Reproducibility WBG","email":"reproducibility@worldbank.org","affiliation":"World Bank"}],"identifiers":[{"type":"DOI ","identifier":"doi.org\/10.60572\/j5k3-k384"}]},"tags":[{"tag":"DOI"},{"tag":"Open code"},{"tag":"Open data"}],"schematype":"script"}