Green Jobs and the Future of Work for Women and Men

The report discusses the transition to a green economy, emphasizing the need for gender inclusivity and STEM education to enhance job opportunities for both men and women in green sectors. It highlights the wage premiums associated with green jobs and the underrepresentation of women.

(Generated with the help of GPT-4)

Quick Facts
Report location: source PDF
Publication date: September 2024
Language: English
Publisher: International Monetary Fund
Authors: Florence Jaumotte, Jorge Mondragon, Longji Li, Marina M. Tavares, Mauro Cazzaniga, Sahar Priano, Stefania Fabrizio, Naomi-rose Alexander
Geographic focus: Global

Methods

The research method involved analyzing labor market data across various countries to assess the distribution and characteristics of green and polluting jobs. It employed regression analysis to evaluate the impact of gender and STEM education on labor market outcomes, alongside local projection models to understand the effects of energy taxes on greenhouse gas emissions.

(Generated with the help of GPT-4)

Key Insights

The report analyzes the transition to a sustainable green economy, focusing on the implications for labor markets, particularly regarding gender equality and STEM education. It highlights that economies with a strong supply of STEM-educated workers and equitable gender treatment can transition more effectively and at lower costs. The findings indicate that green jobs are growing globally, yet men hold a disproportionate share of these positions. Green jobs offer wage premiums, especially for women, suggesting a mismatch between labor supply and demand. The report stresses the importance of educational and labor policies that promote skill enhancement and gender inclusivity to ensure a sufficient workforce for the green economy. It also notes that artificial intelligence could enhance productivity in green jobs. The report concludes that targeted policies are essential to address disparities and vulnerabilities in the labor market during the green transition.

(Generated with the help of GPT-4)

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Last modified: 2024/10/27 02:06 by davidpjonker