Accelerating an Equitable Transition: A data-driven approach

The World Economic Forum presents a framework to address the lack of data on the socioeconomic implications of climate action. It categorizes countries into six archetypes based on structural characteristics and identifies key equity risks across seven green transition dimensions. The report provides a set of aspirational metrics and illustrative dashboards for six countries to help policymakers ensure that the costs and benefits of the transition are fairly distributed.

• Business executives identify unequal access to financing for green investments as the primary equity risk across all sectors, including energy, agriculture, heavy industry, and transportation.
• The report identifies six country archetypes based on structural drivers: Inclusive Green Adopters (high-income, service-driven), Emerging Green Adopters (industrial transition), Fossil-Fuel Exporters (high emissions intensity), Growth Economies (rapidly industrializing), Frontier Economies (low-income, high climate vulnerability), and Green Developers (technologically advanced, high emitters).
• Worker displacement is most likely to occur in the transition away from fossil fuels, the greening of heavy industry, and the shift to a circular economy due to the large share of the workforce employed in these sectors.
• There is a significant global data gap regarding the intersection of climate action and social outcomes; of the 58 indicators identified in the paper, only five are systematically collected and published globally.
• Fossil-fuel exporting countries face specific challenges in phasing out energy subsidies without causing affordability shocks to consumers, as they often have less progressive tax systems and high income inequality.
• Frontier economies have the potential to 'leapfrog' traditional fossil-fuel growth strategies toward sustainable development, but are hindered by limited financing, low innovation capacity, and a lack of skilled workforce.
• Green Developers, while leading in green patents and finance, must manage the transition of large, aging workforces from traditional industries to cleaner sectors to maintain prosperity.
• In the United Kingdom, fuel poverty is a significant risk, with 6 million households unable to keep their homes warm in 2024, and energy-efficient homes commanding a price premium of £56,000 over low-efficiency homes.
• Kenya faces a severe gap in food affordability, with 86.5% of the population unable to afford a healthy diet, and a high prevalence of food insecurity at 72.3%.
• Oman's transition to a hydrogen economy is projected to create between 291,000 and 382,000 employment opportunities by 2050, with approximately 50% related to renewable electricity deployment.

APA

World Economic Forum (2024). Accelerating an Equitable Transition: A data-driven approach. https://www3.weforum.org/docs/WEF_Accelerating_an_Equitable_Transition_A_data_driven_approach_2024.pdf

Chicago

World Economic Forum. Accelerating an Equitable Transition: A data-driven approach. 2024. https://www3.weforum.org/docs/WEF_Accelerating_an_Equitable_Transition_A_data_driven_approach_2024.pdf.

Wikipedia

{{cite report |author=World Economic Forum |title=Accelerating an Equitable Transition: A data-driven approach |date=July 2024 |url=https://www3.weforum.org/docs/WEF_Accelerating_an_Equitable_Transition_A_data_driven_approach_2024.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldeconomicforum2024accelerating, author = {{World Economic Forum}}, title = {{Accelerating an Equitable Transition: A data-driven approach}}, institution = {World Economic Forum}, year = {2024}, month = jul, url = {https://www3.weforum.org/docs/WEF_Accelerating_an_Equitable_Transition_A_data_driven_approach_2024.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }