Dataset of perspectives of the world economy’s development after the COVID-19 crisis

The article reflects the possibilities of a dataset of the prospects for the development of the world economy after the COVID-19 crisis. The dataset has combined statistics on digital competitiveness, sustainable development and COVID-19 incidence for 63 countries of the world, including both developed and developing countries. The data are combined in a common table in an editable format and prepared for calculations with any level of automation. Thanks to this, the dataset is a convenient digital database for conducting a cross-country overview of trends and prospects for the development of the world economy in and after the COVID-19 crisis from the standpoint of sustainability (and stability) and accelerated digital growth. Basic statistics systematized and aggregated in a dataset can be used for various scientific research The growth obtained and presented in the dataset for all 63 countries of the sample is especially useful for scientific research on the 2020 crisis.Dataset overcomes the lack of data on the impact of the pandemic and the COVID-19 crisis on economic systems, filling this gap with accurate quantitative data on large a sample of developed and developing countries. The practical significance and usefulness of the dataset also lies in the fact that it assesses the lost profit (lost opportunities in 2020) due to the COVID-19 crisis, increasing digital competitiveness and sustainable development in 2020 across the entire sample of 63 countries of the world. Loss of profits reflects the difference between simple gains in 2020 over 2019 (due to a variety of factors) and crisis-influenced gains (due to the COVID-19 pandemic). This provided data on how the global economy might have developed in 2020 had it not been for the crisis, which could be useful for scientific research. The dataset contains a forecast for the development of the world economy after the COVID-19 crisis for 2021 according to the scenario of overcoming the viral threat (reducing the incidence to 5%) and according to the scenario of reducing the viral threat and the formation of the normal incidence (increasing the incidence up to 100%). This forecast is useful for scientific research requiring analytical support and predictive data. The advantage of the forecast is the alternativeness of the considered scenarios, which makes it possible to use the forecast in a wide range of scientific research. Even if a forecast is not required for a number of studies, it can be used as a case study of using a dataset.

本文阐述了一款面向新冠疫情（COVID-19）危机后世界经济发展前景研究的数据集的应用潜力。本数据集整合了全球63个国家（涵盖发达国家与发展中国家）的数字竞争力、可持续发展及新冠疫情发病率统计数据。数据以可编辑格式整合于统一表格中，适配全自动化程度的计算需求。借此，本数据集可作为便捷的数字化数据库，用于从可持续性（与稳定性）及数字化加速增长的视角，开展新冠疫情期间及疫后世界经济发展趋势与前景的跨国概览研究。经系统化整理与聚合的基础统计数据，可应用于各类科学研究；本数据集针对全部63个样本国所测算并呈现的增长数据，尤其适用于2020年新冠危机相关的科学研究。本数据集弥补了新冠疫情及危机对经济体系影响相关数据的缺失，通过覆盖大量发达国家与发展中国家的精准量化数据填补了这一研究空白。本数据集的实践价值与应用意义还体现在：它针对全球全部63个样本国，评估了2020年因新冠疫情危机、数字化竞争力提升及可持续发展推进所产生的利润损失（即2020年错失的发展机遇）。利润损失指的是2020年在各类因素驱动下的基准收益，与受新冠疫情大流行影响的实际收益之间的差值。该数据集提供了若无新冠危机则全球经济在2020年的潜在发展路径数据，可服务于各类科学研究。本数据集包含新冠疫情危机后2021年世界经济发展的两种情景预测：一是彻底战胜病毒威胁（将发病率降至5%）的情景，二是实现病毒威胁缓解、疫情回归常态（发病率回升至100%）的情景。该预测数据可满足需要分析支撑与预测资料的科学研究需求。本预测的优势在于涵盖了多套备选情景，因此可广泛应用于各类科学研究当中。即便部分研究无需使用预测数据，本数据集仍可作为数据集应用的典型案例供研究参考。