A growing body of literature investigates the labor market implications of scaling up “green” policies. Since most of this literature is focused on developed economies, little is known about the labor market consequences for developing countries. This article contributes to filling this gap by providing new stylized facts on the prevalence of green occupations and sectors across countries at varying levels of economic development. Green occupations are defined using O*NET, and green sectors are those with relatively lower Greenhouse Gas Emissions (GHGE) per worker. It offers an initial assessment of how the implementation of green policies—aimed at expanding green sectors and strengthening the relative demand for green skills—may affect workers in developing economies. It finds that the share of green jobs is strongly correlated with the level of GDP per capita across countries. When controlling for unobserved heterogeneity, a one percent increase in GDP per capita is associated with a 0.4 and 4.1 percentage point increase in the share of new and emerging, and enhanced skills green jobs, respectively. The article then focuses on Latin America and finds that only 9 percent of workers have a green job with respect to both occupation and sector. Within countries, it finds that workers with low levels of income and education are more likely to be employed in non-green sectors and occupations, and to lack the skills for a greener economy. This evidence suggests that complementary policies are needed to mitigate the potential role of green policies in widening income inequality between and within countries.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 10 Enterprise
• Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
• Memory available: 15.7 GB
• Software version: Stata 18
~20-minute runtime
To execute the reproducibility package, first ensure you have access to the datalibweb service. Next, request access to the databases for Honduras, Guatemala, Nicaragua, and the Dominican Republic following the instructions outlined in the README file. Once access is granted, proceed to update the file paths in the main do file to reflect the correct locations of the package on your computer. Finally, execute the do file to run the package.
The data used in the study are publicly available and can be found in the reproducibility package, except for the household surveys microdata from the Socio-Economic Database for Latin America and the Caribbean (CEDLAS and The World Bank), which are only available to members of the World Bank Group.
Author | Affiliation | |
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Kelly Y. Montoya | World Bank | kmontoyamunoz@worldbank.org |
Emmanuel Vazquez | CEDLAS (IIE, FCE) - Universidad Nacional de La Plata, Argentina | evazquez@cedlas.org |
Hernan Winkler | World Bank | hwinkler@worldbank.org |
Vincenzo Di Maro | World Bank | vdimaro@worldbank.org |
Sergio Olivieri | World Bank | solivieri@worldbank.org |
2024-05
Location | Code |
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Latin America | LAC |
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.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Hernan Winkler | World Bank | hwinkler@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2024-05-28
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