Global supply chains have been significantly disrupted by factors such as climate change and digitization. This empirical analysis provides a nuanced perspective on the interplay between renewable energy innovation, digital technology, environmental sustainability, and economic factors. The study employed the Quantile Autoregressive Distributive Lag method that examines relationships across different quantiles of the dependent variable. Findings reveal that digital technology and foreign direct investment emerged as potential tools to improve Renewable Energy Innovation (REI). The study underscores the urgent need for hands-on measures to mitigate the negative effect of population growth on natural and environmental resources. It also highlights the complex relationship between environmental protection and development, stressing the need for holistic, environmentally conscious development strategies for a sustainable future. This research has also forecasted the REI with a chosen variable by using Adaboost and results show good accuracy. Moreover, it has been suggested that policymakers must focus on population management strategies, green innovation, and capacity building to improve renewable energy innovation and natural resource market efficiency also propel sustainable efforts.

中文翻译：

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通过数字技术和供应链数字化推进可再生能源创新

全球供应链受到气候变化和数字化等因素的严重干扰。这种实证分析为可再生能源创新、数字技术、环境可持续性和经济因素之间的相互作用提供了微妙的视角。该研究采用了分位数自回归分布滞后方法，该方法检查因变量不同分位数之间的关系。研究结果表明，数字技术和外国直接投资成为改善可再生能源创新 （REI） 的潜在工具。该研究强调，迫切需要采取实际措施来减轻人口增长对自然和环境资源的负面影响。它还强调了环境保护与发展之间的复杂关系，强调需要为可持续的未来制定全面的、具有环保意识的发展战略。这项研究还使用 Adaboost 预测了具有选定变量的 REI，结果显示准确性很高。此外，有人建议政策制定者必须关注人口管理战略、绿色创新和能力建设，以改善可再生能源创新和自然资源市场效率，并推动可持续发展的努力。