Mathematical Modeling of Dynamic Interactions in Green Energy Transition for Economic and Environmental Sustainability

Abstract

In the pursuit of a harmonious coexistence between economic growth and environmental sustainability, this paper delves into the intricate realm of "Mathematical Modeling of Dynamic Interactions in Green Energy Transition for Economic and Environmental Sustainability." Building upon the foundational contributions of Polimeni, Mayumi, Giampietro, and Alcott (2008), we navigate a complex mathematical landscape where equations articulate the interplay of energy consumption (E), economic production (P), and carbon emissions (C). As the equations come to life, they illuminate pathways that offer theoretical insights into the intricate dynamics at play. These pathways, shaped by nuanced parameters, provide a theoretical foundation to decipher the complex interactions between renewable technologies, economic growth, and environmental balance. Guided by the perspectives of Edenhofer et al. (2014) and Grubler (1998), we transcend equations to explore the strategic realm where policies and strategies find their genesis. The theoretical insights unearthed through this exploration serve as guiding lights for policymakers and stakeholders. Armed with this theoretical compass, policymakers navigate the complexities of green energy transition, crafting interventions that resonate with the rhythm of sustainable progress. These insights enrich the spectrum of strategies aimed at fostering economic prosperity without compromising the delicate equilibrium of the environment. Within the symphony of design, theory metamorphoses into actionable strategies, intricately woven into the fabric of growth and sustainability. This paper underscores the pivotal role of theoretical frameworks in shaping effective policies and strategies, providing a roadmap for a future where equilibrium and progress dance in synchrony.