Strategic Governance Models for Scaling Clean Energy Startups in Emerging Economies: A Multi‑Stakeholder Systems Perspective-Scilight

Clean Energy Technologies

Research Article

Strategic Governance Models for Scaling Clean Energy Startups in Emerging Economies: A Multi‑Stakeholder Systems Perspective

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https://doi.org/10.54963/cet.v1i1.1480
Lakhwani, T. S. (2025). Strategic Governance Models for Scaling Clean Energy Startups in Emerging Economies: A Multi‑Stakeholder Systems Perspective. Clean Energy Technologies, 1(1), 70–87. https://doi.org/10.54963/cet.v1i1.1480
Volume 1 Issue 1 (2025)
Copyright (c) 2025 Tejinder Singh Lakhwani
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Authors

  • Tejinder Singh Lakhwani

    School of Management and Entrepreneurship, IIT Jodhpur, Jodhpur, Rajasthan 342030, India

Received: 10 December 2024 | Revised: 25 January 2025 | Accepted: 1 February 2025 | Published Online: 11 February 2025

This study proposes a strategic governance framework to accelerate the scalable deployment of clean energy startups in emerging economies. Startups in solar, hydrogen, storage, and smart grid technologies play a vital role in advancing energy transitions. However, in regions such as India, Nigeria, and Brazil, these ventures face systemic barriers including fragmented policies, ϐinancing gaps, and limited institutional coordination. This research integrates stakeholder ecosystem mapping, multi‑level governance theory, and innovation helix models with simulation‑based scenario analysis to address these challenges. Using System Dynamics (SD) and Agent‑Based Modeling (ABM), the study evaluates three governance scenarios: centralized, decentralized, and public–private partnership (PPP) across key performance indicators: startup survival rate, scaling velocity, policy responsiveness, and stakeholder alignment. Case insights inform the modeling logic and highlight trade‑offs across governance types. Findings suggest that PPP‑based models offer the most balanced performance, combining scalability with institutional adaptability, while decentralized models support local innovation but require stronger systemic integration. Centralized governance, though stable, risks stifling entrepreneurship. This research contributes to a simulation‑informed governance framework that can guide clean energy policy design, startup ecosystem development, and adaptive regulation in resource‑constrained settings. It also provides a transferable foundation for future empirical studies and potential application to climate‑tech entrepreneurship and carbon credit systems.

Keywords:

Clean Energy Startups Governance Models Emerging Economies System Dynamics Policy Simulation Public–Private Partnerships

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