A new dataset on climate distance for trade analyses

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-09-17 DOI:10.1016/j.dib.2024.110944
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Abstract

This data article describes a new dataset on measures of climate distance for trade analyses. The dataset contains, (i) time-varying measures of long-run climate conditions for twenty economies accounting for two-third of global agri-food exports and representatives of different prevailing climates, and (ii) the difference in long-run climate conditions between country-pairs, here defined as Climate Distance. Measures of long-run climate conditions are computed, for each year in the sample (1996 to 2015), as 30-years rolling averages of weather conditions (i.e., climate normals or climatologies) in each country. Our climate measures are based on elaboration of data collected from the World Bank's Climate Change Knowledge Portal (CCKP), containing historical information on weather conditions. We also provide data on bilateral trade flows, tariffs, and policies, as provided by publicly available datasets. Our measures of climate change allow a more precise evaluation of structural changes in trade routes associated with climate comparative advantages.
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用于贸易分析的气候距离新数据集
这篇数据文章介绍了用于贸易分析的气候距离计量新数据集。该数据集包含:(i) 占全球农业食品出口三分之二的 20 个经济体的长期气候条件的时变度量,以及(ii) 国家对之间长期气候条件的差异,此处定义为气候距离。长期气候条件的衡量标准是以每个国家 30 年天气条件的滚动平均值(即气候常态或气候学)来计算样本中每一年(1996 年至 2015 年)的气候条件。我们的气候指标基于从世界银行气候变化知识门户网站(CCKP)收集的数据,其中包含有关天气条件的历史信息。我们还提供了由公开数据集提供的双边贸易流量、关税和政策数据。通过我们对气候变化的测量,可以更精确地评估与气候比较优势相关的贸易路线的结构性变化。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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