Climate change has become a global challenge, significantly impacting soybean fields in China. Therefore, we propose a study utilising the long panel data model to investigate the impact in major cultivation regions in northern China from 1980 to 2020. We first propose controlling non-weather factors and capturing the correlation between yield and weather with the long panel model. Then, we assess the significance of different weather variables and eliminate the insignificant ones. Our ultimate goal is to identify optimal climatic conditions to enhance soybean yield in the northern cultivation regions of China and seek to assist various stakeholders in reinforcing existing strategies for climate change adaptation in soybean cultivation.