Dynamics of Economic Growth Models
Summary
The study of economic growth dynamics seeks to explain how capital accumulation, technological progress and human behaviour interact over time to determine long-run output trajectories. Classic exogenous models portray growth as converging to a steady state set by savings rates, population growth and technological trends. In contrast, endogenous frameworks endogenise innovation and knowledge spill-overs, allowing long-run growth to arise from purposeful investment in research, human capital and infrastructure. Modern work integrates elements of nonlinear dynamics, showing that small changes in parameters such as saving rates, financial frictions or policy rules can trigger bifurcations that give rise to cycles, chaos or multiple equilibria. Overlapping generations and two-sector models incorporate demographic structure and the dual role of human and physical capital, highlighting path dependence, indeterminacy and the role of expectations. Stochastic shocks, credit constraints and market imperfections introduce further complexity, generating fluctuations around balanced-growth paths that can resemble business cycles or drawdowns. Recent advances also explore the global interconnectedness of growth processes, examining how cross-border investment, environmental limits and digital technologies reshape dynamic responses. This branch of research informs policy debates on sustainable development, financial stability and innovation strategy by linking microeconomic behaviour to macroeconomic trajectories and by identifying thresholds beyond which growth regimes may shift abruptly.
Research from Nature Portfolio
No recent Nature Portfolio content available.
Dynamics of Economic Growth Models publication trend
The graph below shows the total number of articles in dynamics of economic growth models across all publications each year (not limited to Nature Index journals).
Technical terms
Bifurcation: A qualitative change in the trajectory or stability of a dynamical system triggered by variation in a key parameter.
Endogenous growth: A theoretical framework in which investment decisions and innovation processes within the economy determine the long-run rate of technological progress.
Overlapping generations model: A representation of an economy populated by successive cohorts whose saving, labour and consumption choices interact over time to influence aggregate outcomes.
General equilibrium model: A system of equations capturing simultaneous determination of prices and quantities across all markets, allowing for feedbacks between sectors and agents.
References
- Financial destabilization. Journal of Mathematical Economics (2022).
- Existence and implications of a pitchfork-Hopf bifurcation in a continuous-time two-sector growth model. Journal of Economic Interaction and Coordination (2021).
- Business Cycles in a Two-Sided Altruism Model. Mathematics (2021).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.