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一个新的气候距离数据集用于贸易分析
Martina Bozzola1,2, Emilia Lamonaca3, Fabio G Santeramo3,4
1School of Biological Sciences and Institute for Global Food Security, Queen's University Belfast (UK), United Kingdom.
Data in brief
|October 9, 2024
概括
这项研究引入了一套新的测量气候距离的数据集,用于贸易分析. 它量化了长期的气候条件和国家之间的差异,以更好地了解气候变化.
科学领域:
- 农业经济学 农业经济学
- 气候科学 气候科学
- 国际贸易 国际贸易 国际贸易
背景情况:
- 传统的贸易分析往往忽视了气候对农业生产和比较优势的影响.
- 现有的数据集缺乏详细的,时间变化的气候数据,这对于理解不断变化的贸易模式至关重要.
- 气候变化需要重新评估受地理和气候因素影响的贸易结构.
研究的目的:
- 为贸易分析引入一个新的数据集,量化气候距离.
- 为主要农业食品出口经济体提供长期气候状况的时间变化的测量.
- 为了能够更精确地评估由气候比较优势驱动的贸易路线调整.
主要方法:
- 利用来自世界银行的气候变化知识门户网站 (CCKP) 的数据用于历史天气状况.
- 每年 (1996-2015年) 为每个国家计算30年天气条件 (气候学) 的滚动平均值.
- 定义"气候距离"为国家对之间长期气候条件的差异.
- 综合气候数据与公开可用的双边贸易流,关税和政策信息.
主要成果:
- 为20个占全球农业食品出口重要份额的经济体开发了一套具有时间变化的气候措施的数据集.
- 量化了国家对之间的气候距离,为贸易分析提供了一个新的指标.
- 该数据集有助于研究受气候相关比较优势影响的贸易结构变化.
结论:
- 新型气候距离数据集为国际贸易和农业经济学研究人员和政策制定者提供了有价值的工具.
- 这些数据使我们能够更深入地了解气候变化和气候变化如何影响全球农业食品贸易动态.
- 未来的研究可以利用这些措施来探索气候对贸易模式和经济发展的长期影响.
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