标题： 温度变化对经济增长的长期影响：一种机器学习方法 显示英文标题

标题： Long-term Effects of Temperature Variations on Economic Growth: A Machine Learning Approach

摘要： 这项研究使用数据驱动的方法探讨温度变化对经济增长的长期影响。 利用机器学习技术，我们分析了伯克利地球提供的全球地表温度数据以及世界银行提供的经济指标，包括国内生产总值和人口数据。 我们的分析揭示了平均温度与国内生产总值增长之间的显著关系，表明气候变化可以显著影响经济表现。 这项研究强调了在经济规划和政策制定中纳入气候因素的重要性，并展示了机器学习在揭示气候与经济研究中复杂关系方面的实用性。 显示英文摘要

摘要： This study investigates the long-term effects of temperature variations on economic growth using a data-driven approach. Leveraging machine learning techniques, we analyze global land surface temperature data from Berkeley Earth and economic indicators, including GDP and population data, from the World Bank. Our analysis reveals a significant relationship between average temperature and GDP growth, suggesting that climate variations can substantially impact economic performance. This research underscores the importance of incorporating climate factors into economic planning and policymaking, and it demonstrates the utility of machine learning in uncovering complex relationships in climate-economy studies.