Correlation Analysis Between Ambient Temperature and Ice Cream Sales: An Empirical Study Based on a Simple Linear Regression Model and Strategic Recommendations for the Industry

Abstract

This study examines the interplay between environmental temperature patterns and ice cream market dynamics using nationwide meteorological records and sales data spanning 2014 to 2023. By developing a quantitative analytical framework, the research demonstrates a measurable transmission mechanism through which thermal variations influence consumer purchasing behaviors. The analysis positions climate change as a pivotal factor reshaping seasonal demand cycles for temperature-dependent products, offering fresh perspectives on climate-economic interdependencies. Methodologically, while validating core analytical assumptions, the study acknowledges the necessity of addressing microenvironmental heterogeneities and non-climatic variables that may mediate observed relationships. Three strategic recommendations emerge from the systemic investigation: implementing weather-predictive supply chain coordination systems, fostering product innovation aligned with sustainability trends and health-conscious consumption, and formulating climate-resilient policy frameworks for industry governance. These findings advance climate adaptation strategies in the food sector, emphasizing the imperative to harmonize market expansion objectives with ecological stewardship. The study advocates for future research integrating multi-source environmental and socioeconomic datasets to better capture the complexity of climate-driven market transformations. Practical implications extend to inventory optimization, green product development, and policy interventions that bridge meteorological forecasting with commercial decision-making processes.