مجلة الرسالة للدراسات والبحوث الإنسانية
Volume 11, Numéro 3, Pages 26-42
2026-09-17
The Green Algorithm: Twin Engines Of Circular Economy Transformation-machine Learning Vs. Financial Capital In The Schengen Zone
Authors : Kaleem Sobia . Jamal Qasim . Khursheed Nazia .
Abstract
To achieve Sustainable Development Goal 12: Responsible Spending and Manufacturing, it is necessary to have a circular business model. This research examines how financial investment and machine learning (ML) might accelerate this shift in business models. According to the research, both factors make up for the expansion of the sustainable economy. The study employed a panel regression model to analyze data from 29 Schengen countries over ten years. The influence of financial investment is more significant, but machine learning also has a substantial effect. The model's adaptability permits tailoring its outputs to individual nations, recognizing their unique situations. Here are two primary arguments: firstly, the need for significant long-term financial investment to establish a robust circular business, and secondly, the potential benefits of integrating machine learning (ML) with financial investment, with the optimal approach varying depending on the particular scenario of each country. Research generally contends that machine learning is a potent tool for promoting the circular economy.
Keywords
Resource Management ; Machine Learning ; Financial Investment ; Circular Business Models ; Sustainability
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