<p>Environmental degradation, predominantly driven by greenhouse gas (GHG) emissions, poses a significant threat to ecological stability. In response, the Glasgow Climate Act requires economic stakeholders to prioritize decarbonisation. India aims to reach net-zero carbon emissions by 2060 using renewable energy and innovative technology. Attaining this ambitious goal necessitates addressing a complex interplay of contributing factors. This study advances the existing body of knowledge by applying symmetric and asymmetric autoregressive distributed lag (ARDL) models to analyze the effects of foreign remittances, green growth, green technological innovation, and unemployment asymmetry on India's decarbonization trajectory over the period 1990–2022. The methodological framework is anchored in the STIRPAT model, which systematically examines the influence of population, affluence, and technology through regression analysis of stochastic variations. Furthermore, the study draws theoretical grounding from sustainable innovation theory, the Environmental Phillips Hypothesis, and the Environmental Kuznets Curve (EKC) hypothesis. The findings indicate that green growth and innovative technologies can significantly reduce CO₂ emissions. For each 1% rise in the use of green technologies, CO₂ emissions decrease by 2.01% and CH₄ by 5.5%. Furthermore, it has been demonstrated that foreign remittances can exert both positive and negative influences on emissions. Over time, a 1% increase in international remittances results in a 043.05% increase in CO₂ emissions and a 17.88% increase in CH₄ emissions. Unemployment negatively affects CO₂ emissions, reducing them by 88.59% over time. These findings underscore the critical importance of harmonizing environmental, economic, and technological policies to mitigate environmental degradation and foster sustainable development.</p>