Measuring Innovation Returns from Mega Sport Events: A Machine Learning Analysis of Financial and ESG Factors

抄録

This study investigates the impact of Mega Sport Events (MSEs) on innovation, as measured through patent applications, by examining financial expenditure, economic indicators, and Environmental, Social, and Governance (ESG) factors. This research analyzes data from six host nations between 2000-2020 utilizing advanced machine learning methodologies. The findings indicate that population demographics, operational costs, and sustainability metrics significantly influence the national innovation capacity. This study reveals that while well-strategically planned operational spending enhances patent applications or host innovation capability, excessive expenditure can impede innovation outcomes. Hance and ESG factors, such as social rights and renewable energy investment, demonstrate varied impacts contingent on the context. This study elucidates how strategic financial planning, sustainability practices, and social inclusion can maximize the long-term innovation benefits of MSE investments. These insights provide valuable guidance for policymakers and organizers for optimizing MSE resource allocation.