Reproducible Research Repository
Reproducible Research Repository
  • Home
  • Repository
  • Collections
  • About
    Home / Repository / PRWP / RR_ZAF_2024_124
PRWP

Reproducibility package for Profiling Green Jobs and Workers in South Africa: An occupational tasks approach

2024
Get Reproducibility Package
Reference ID
RR_ZAF_2024_124
DOI
https://doi.org/10.60572/j5k3-k384
Author(s)
Jacqueline Mosomi, Wendy Cunningham
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
May 21, 2024
Last modified
May 15, 2025
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    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’s jobs can be labelled as “green”, 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’s progress in becoming a green labour force.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/144/download/390/README.pdf
    Reproducibility package for Profiling Green Jobs and Workers in South Africa: An occupational tasks approach
    Title
    Reproducibility package for Profiling Green Jobs and Workers in South Africa: An occupational tasks approach
    Date
    2024-04
    Dependencies
    Stata: grc1leg, plotplainblind, dups, grstyle, palettes, outreg2, colrspace. Dependency files for Stata are included in the folder "dofiles1/ado".
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    17

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    – OS: Windows 11 Enterprise
    – Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
    – Memory available: 15.7 GB
    – Software version: Stata version 17

    Technology requirements

    Runtime: 90 minutes

    Data

    Datasets
    Post Apartheid Labour Market Series 1993-2019 (PALMS) version 3.3
    Name
    Post Apartheid Labour Market Series 1993-2019 (PALMS) version 3.3
    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 policy
    The dataset is public but cannot be redistributed. Data can be downloaded after registration in the Data URL.
    Data URL
    https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/434/get-microdata
    Quarterly Labour Force Survey 2019, Quarter 3
    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 policy
    The dataset is public but cannot be redistributed. Data can be downloaded after registration in the Data URL.
    Data URL
    https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/794/study-description
    Quarterly Labour Force Survey 2019, Quarter 4
    Name
    Quarterly Labour Force Survey 2019, Quarter 4
    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".
    Access policy
    The dataset is public but cannot be redistributed. Data can be downloaded after registration in the Data URL.
    Data URL
    https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/795/get-microdata
    Tasks data from Granata, J. and Posadas, J. (2024)
    Name
    Tasks data from Granata, J. and Posadas, J. (2024)
    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".
    Access policy
    The dataset is public but cannot be redistributed. Data can be downloaded in the Data URL.
    Data URL
    https://datacatalog.worldbank.org/int/search/dataset/0066087
    ISCO88-ISCO08 crosswalk from the ILO
    Name
    ISCO88-ISCO08 crosswalk from the ILO
    Note
    Data was accessed on April 2020. File name: "crosswalk_isco08_isco88.xlsx".
    Access policy
    Dataset is public and included in the reproducibility package
    License URL
    https://www.ilo.org/rights-and-permissions
    Data URL
    https://www.ilo.org/resource/correspondence-table-isco08-isco88
    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.

    Description

    Output
    Profiling Green Jobs and Workers in South Africa: An occupational tasks approach
    Type
    Working paper
    Title
    Profiling Green Jobs and Workers in South Africa: An occupational tasks approach
    Description
    Policy Research Working Paper (PRWP) WPS10779
    URL
    http://documents.worldbank.org/curated/en/099216105212422316
    DOI
    https://doi.org/10.1596/1813-9450-10779
    Authors
    Author Affiliation Email
    Jacqueline Mosomi Southern Africa Labour and Development Research Unit (SALDRU) - University of Cape Town jacqueline.mosomi@uct.ac.za
    Wendy Cunningham World Bank wcunningham@worldbank.org
    Date of production

    2024-04

    Scope and coverage

    Geographic locations
    Location Code
    South Africa ZAF
    Keywords
    green jobs green occupations South Africa task-based approach labour market structure
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    J21 Labor Force and Employment, Size, and Structure J2 Journal of Economic Literature (JEL)
    O55 Economywide Country Studies - Africa O5 Journal of Economic Literature (JEL)
    Q01 Sustainable Development Q Journal of Economic Literature (JEL)
    O50 Economywide Country Studies - General O5 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
    Wendy Cunningham World Bank wcunningham@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

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

    2024-05-06

    Document version

    1

    Citation

    Citation
    loading, please wait...
    Citation format
    Export citation: RIS | BibTeX | Plain text
    Back to Catalog
    The World Bank Working for a World Free of Poverty
    • IBRD IDA IFC MIGA ICSID

    © The World Bank Group, All Rights Reserved.