Potsdam-Institute for Climate Impact Research, RD4: Complexity Science, Potsdam, DE, 14473, Germany.
Mercator Research Institute on Global Commons and Climate Change (MCC), Berlin, DE, 10829, Germany.
Sci Data. 2023 Jul 3;10(1):425. doi: 10.1038/s41597-023-02323-8.
Many phenomena of high relevance for economic development such as human capital, geography and climate vary considerably within countries as well as between them. Yet, global data sets of economic output are typically available at the national level only, thereby limiting the accuracy and precision of insights gained through empirical analyses. Recent work has used interpolation and downscaling to yield estimates of sub-national economic output at a global scale, but respective data sets based on official, reported values only are lacking. We here present DOSE - the MCC-PIK Database Of Sub-national Economic Output. DOSE contains harmonised data on reported economic output from 1,661 sub-national regions across 83 countries from 1960 to 2020. To avoid interpolation, values are assembled from numerous statistical agencies, yearbooks and the literature and harmonised for both aggregate and sectoral output. Moreover, we provide temporally- and spatially-consistent data for regional boundaries, enabling matching with geo-spatial data such as climate observations. DOSE provides the opportunity for detailed analyses of economic development at the subnational level, consistent with reported values.
许多与经济发展高度相关的现象，如人力资本、地理和气候，在国家内部和国家之间都有很大的差异。然而，经济产出的全球数据集通常仅在国家层面上可用，从而限制了通过实证分析获得的见解的准确性和精度。最近的工作已经使用插值和降尺度来生成全球范围内的次国家经济产出估计，但缺乏基于官方报告值的相应数据集。我们在这里介绍 DOSE——MCC-PIK 次国家经济产出数据库。DOSE 包含来自 83 个国家的 1661 个次国家地区的报告经济产出的协调数据，时间跨度为 1960 年至 2020 年。为了避免插值，我们从众多统计机构、年鉴和文献中收集数据，并对总产出和部门产出进行协调。此外，我们还提供了区域边界的时间和空间一致的数据，从而可以与气候观测等地理空间数据进行匹配。DOSE 提供了在次国家层面上进行详细经济发展分析的机会，与报告值一致。
