The global imperative to address climate change has propelled more than seventy percent of climate policies worldwide to focus on the development and deployment of low-carbon technologies. These policies are designed with the expectation that providing consistent support will trigger critical tipping points in technology adoption, ultimately fostering self-reinforcing cycles of growth. Yet, the reality of policy-driven technological progress is far more complex and unpredictable than a linear trajectory would suggest. Technological pathways underpinned by policy interventions often unfold in nonlinear patterns, punctuated by unexpected accelerations, decelerations, and even regressions, shaped by a confluence of technical, economic, political, and social forces.
Understanding the dynamics of these growth pathways is critical as policymakers seek to calibrate their strategies in ways that maximize climate action effectiveness. In a groundbreaking perspective, researchers Jewell, Cherp, and Geels present a nuanced framework that charts the evolution of policy-driven technologies through four distinct phases: formative, accelerating growth, steady growth, and slowdown. Each phase manifests unique characteristics in terms of innovation intensity, market behavior, policy interaction, and systemic barriers, demanding tailored and adaptive policy approaches to sustain momentum.
The formative phase marks the birth of a technology, characterized by intense bursts of innovation amid significant uncertainty and frequent failures. During this phase, growth paths are erratic, reflecting the challenges of technological demonstration, early-stage commercialization, and market entry. Policymakers must therefore focus on nurturing technical and commercial viability through strategic funding mechanisms, experimental pilot projects, and targeted innovation incentives. Yet, the pathway remains fragile and contingent on navigating uncertainties in technology performance and consumer acceptance.
As a technology transitions into accelerating growth, the landscape changes dramatically. Increasing economic returns and political support generate growing momentum, amplifying deployment speed. Market adoption expands rapidly, creating positive feedback loops where cost declines, improved performance, and rising investor confidence reinforce each other. The accelerating phase represents a critical tipping point, where policy interventions can catalyze self-sustaining growth, propelling technologies into widespread commercialization. Strategic policies in this phase focus on scaling production, infrastructure development, and market creation initiatives that harness network effects and economies of scale.
However, the momentum is not infinite. The steady growth phase emerges when technologies encounter emerging systemic barriers that hinder continuous acceleration. These obstacles may include supply chain constraints, regulatory bottlenecks, social resistance, and infrastructure limitations that introduce friction into adoption dynamics. Technology growth during this phase tends to oscillate around a peak trajectory, exhibiting pulsating patterns as the system periodically adjusts to overcome barriers but fails to sustain full acceleration. Policymakers at this stage must actively manage and resolve these systemic barriers through regulatory adjustments, stakeholder engagement, and targeted investments to smoothen deployment trajectories.
Eventually, many technologies enter the slowdown phase, characterized by a plateau or outright stalling of growth as they approach market saturation or encounter fundamental limits. Barriers become entrenched and difficult to surmount, diminishing the incremental gains from further policy support. This phase raises challenging questions about the continued role of subsidies, regulations, and incentives. Policymakers face the dilemma of either withdrawing support to reallocate resources elsewhere or reinvigorating the technology through breakthrough innovations or systemic transformations that re-bootstrap growth.
Surprisingly, contrary to conventional expectations, the complexity and scale of policy support do not necessarily wane as technologies mature. Mature technologies may still require substantial policy attention to navigate persistent challenges and systemic inertia. This observation underscores the importance of a phase-aware approach to climate policy design—a strategy that aligns interventions with the specific challenges and dynamics of each growth phase.
Integrating this phase-based framework into policymaking offers a powerful means to diagnose technology trajectories more accurately and anticipate future developments. Such deepened understanding facilitates more informed budgetary allocations, regulatory reforms, and innovation initiatives to maximize climate mitigation outcomes. It breaks away from one-size-fits-all policy prescriptions and embraces the dynamic, co-evolutionary nature of policy-technology interplay.
Furthermore, conventional technology projections and climate scenarios often fail to capture the nonlinear, path-dependent growth patterns of policy-driven technologies, limiting their realism and reliability. Embedding phase-specific insights into modeling efforts can enhance scenario robustness, offering policymakers and stakeholders a more grounded roadmap to achieve net-zero targets. This is particularly vital as the global community ramps up climate ambitions and demands urgent, transformative technological deployment.
To realize the full potential of low-carbon technologies, policy design must evolve beyond static goals toward adaptive governance frameworks. This includes mechanisms for timely policy recalibration, responsive to technological performance data, market signals, and barrier emergence. Additionally, engaging diverse stakeholders—from industry to civil society—is paramount in identifying systemic bottlenecks and co-creating solutions that balance innovation, equity, and sustainability considerations.
The research also reveals that technology growth phases are not necessarily linear or irreversible. Feedback effects or external shocks—whether technological breakthroughs, geopolitical shifts, or socio-political upheavals—can induce regressions or induce new growth spurts. Therefore, resilient and flexible policy architectures that can accommodate and respond to such dynamism are essential for ensuring sustained climate progress.
Ultimately, this refined conceptualization of policy-driven technological growth underscores the need for long-term policy engagement rather than transient boosts. Climate action demands a sustained commitment that anticipates the full life cycle of technologies and addresses the complex interplay of technical, economic, institutional, and social factors. Governments and international entities must embrace this complexity, redefining success metrics to include not just adoption rates but also the quality and stability of deployment trajectories.
As the world confronts the enormity of the climate challenge, leveraging the knowledge embedded in this framework offers a path forward for accelerating transformative technologies. Aligning policy interventions with distinct technology growth phases holds promise for overcoming the persistent hurdles that have historically impeded rapid low-carbon transitions. Moreover, it provides a blueprint for balancing innovation-driven market creation with pragmatic system-level management.
In this evolving context, continuous learning and cross-sector collaboration will be key enablers of effective policy-driven technological transformation. Researchers, policymakers, industry leaders, and civil society actors alike must engage in iterative dialogue, sharing insights and adapting strategies in real time. Only by acknowledging and responding to the nuanced dynamics of technology growth can the global community realistically aspire to meet Paris Agreement targets and achieve a sustainable climate future.
This new understanding also challenges the conventional wisdom about ‘technology silver bullets,’ advocating instead for a portfolio approach that recognizes the heterogeneous growth patterns of diverse technologies. Such pluralism enables more resilient energy systems and diversified climate mitigation pathways, reducing risks associated with relying heavily on any single technology.
As policymakers begin to operationalize this phase-aware framework, it will be critical to develop robust metrics, monitoring systems, and feedback loops that track technology progress across all phases. This data-driven approach can uncover early signals of emerging barriers or opportunities, ensuring that policy responses remain timely and effective.
In sum, confronting climate change through technology necessitates embracing complexity—recognizing that policy-driven growth is an evolving, dynamic phenomenon shaped by numerous interacting factors. The framework proposed by Jewell, Cherp, and Geels stands out as a crucial contribution to this evolving discourse, equipping stakeholders with the analytical tools to better design, implement, and adjust policies that drive low-carbon technologies toward global transformation.
Subject of Research: Policy-driven growth dynamics of low-carbon technologies in climate mitigation.
Article Title: Policy-driven growth of technologies to accelerate climate action.
Article References:
Jewell, J., Cherp, A., Geels, F.W. et al. Policy-driven growth of technologies to accelerate climate action. Nat Rev Earth Environ (2026). https://doi.org/10.1038/s43017-026-00765-3
Image Credits: AI Generated
