Overview

The Earth4All model is a system-dynamics simulation of global society and economy developed by the Club of Rome team (Sandrine Dixson-Declève, Owen Gaffney, Jayati Ghosh, Jørgen Randers, Johan Rockström, Per Espen Stoknes) as the technical backbone of “Earth for All” (2022). Building on the legacy of the original Limits to Growth model (Club of Rome, 1972), Earth4All integrates energy, food, population, inequality, and Earth-system feedbacks into a single coupled model, then explores two contrasting futures to 2100.

The model differs from its 1972 predecessor by explicitly modelling inequality at global and regional levels, including the physical dimensions of Planetary boundaries, and distinguishing between economic activity and human wellbeing — treating GDP as an inadequate proxy for social progress.

The two scenarios

Too Little Too Late (TLTL)

The baseline extrapolation. Governments and institutions continue current policies with incremental improvements but no structural transformation. Outcomes by 2050–2100:

Giant Leaps

A transformation scenario in which five major policy packages are implemented in the 2020s with urgency. If enacted together and quickly enough, the model projects:

The five packages are the Giant Leaps framework. The key insight is that timing matters: the same five leaps enacted in the 2030s produce far worse outcomes than in the 2020s, because tipping-point dynamics amplify early action.

Turnover time and system inertia

A core finding of the Earth4All model is that social and economic systems have long inertia (turnover times of 10–40 years). This means:

Legacy of the Limits to Growth

The 1972 Limits to Growth (Club of Rome) was among the first quantitative models to show that exponential growth on a finite planet would lead to overshoot and collapse without systemic change. The Earth4All model updates this with five decades of additional data, finds the 1972 business-as-usual projections broadly accurate, and extends the analysis with inequality, wellbeing, and tipping-point dynamics.

Resources