Analysis of the Impact of Green Economic Policies on the Sharing Economy and the Synergistic Mechanism of Business Analysis

Abstract

Against the backdrop of an accelerating global green transition, green regulations such as the EU carbon border adjustment mechanism and China's “dual carbon” policies are gradually being implemented, presenting the sharing economy with dual challenges of resource efficiency and regulatory compliance. This study explores how green economic policies influence the construction of sharing economy business models and analyzes the critical role of business data in policy adaptation. By incorporating economic theories such as externalities and information asymmetry, and integrating case studies, this paper constructs a theoretical framework linking “policy-business analytics-sustainable performance.” Through case studies and data analysis, it reveals collaborative pathways among multiple stakeholders in the green transition. Findings indicate that green economic policies drive the low-carbon transformation of the sharing economy through cost pass-through and demand reshaping. Business analytics, leveraging technologies like big data, artificial intelligence, and blockchain, acts as an “enabler” during policy implementation, significantly enhancing platform compliance efficiency and user value. This study provides theoretical support and a practical framework for governments and enterprises to jointly build a low-carbon sharing ecosystem, while offering policy recommendations for subsequent carbon asset financialization and cross-border data collaboration.