Dataset of development of business during the COVID-19 crisis

To create the dataset, the top 10 countries leading in the incidence of COVID-19 in the world were selected as of October 22, 2020 (on the eve of the second full of pandemics), which are presented in the Global 500 ranking for 2020: USA, India, Brazil, Russia, Spain, France and Mexico. For each of these countries, no more than 10 of the largest transnational corporations included in the Global 500 rating for 2020 and 2019 were selected separately. The arithmetic averages were calculated and the change (increase) in indicators such as profitability and profitability of enterprises, their ranking position (competitiveness), asset value and number of employees. The arithmetic mean values of these indicators for all countries of the sample were found, characterizing the situation in international entrepreneurship as a whole in the context of the COVID-19 crisis in 2020 on the eve of the second wave of the pandemic. The data is collected in a general Microsoft Excel table. Dataset is a unique database that combines COVID-19 statistics and entrepreneurship statistics. The dataset is flexible data that can be supplemented with data from other countries and newer statistics on the COVID-19 pandemic. Due to the fact that the data in the dataset are not ready-made numbers, but formulas, when adding and / or changing the values in the original table at the beginning of the dataset, most of the subsequent tables will be automatically recalculated and the graphs will be updated. This allows the dataset to be used not just as an array of data, but as an analytical tool for automating scientific research on the impact of the COVID-19 pandemic and crisis on international entrepreneurship. The dataset includes not only tabular data, but also charts that provide data visualization. The dataset contains not only actual, but also forecast data on morbidity and mortality from COVID-19 for the period of the second wave of the pandemic in 2020. The forecasts are presented in the form of a normal distribution of predicted values and the probability of their occurrence in practice. This allows for a broad scenario analysis of the impact of the COVID-19 pandemic and crisis on international entrepreneurship, substituting various predicted morbidity and mortality rates in risk assessment tables and obtaining automatically calculated consequences (changes) on the characteristics of international entrepreneurship. It is also possible to substitute the actual values identified in the process and following the results of the second wave of the pandemic to check the reliability of pre-made forecasts and conduct a plan-fact analysis. The dataset contains not only the numerical values of the initial and predicted values of the set of studied indicators, but also their qualitative interpretation, reflecting the presence and level of risks of a pandemic and COVID-19 crisis for international entrepreneurship.

为构建本数据集，我们选取截至2020年10月22日（第二次新冠大流行前夕）全球新冠发病率排名前十的国家，上述国家均入选2020年《全球500强》（Global 500）榜单，分别为美国、印度、巴西、俄罗斯、西班牙、法国与墨西哥。针对上述各国，我们分别选取2020年与2019年《全球500强》榜单中不超过10家的头部跨国企业。随后计算各项指标的算术平均值，包括企业利润率与盈利能力、企业排名位次（竞争力）、资产价值与员工数量的变化（增幅）。我们还计算了样本内所有国家上述指标的算术均值，以此整体刻画2020年第二次新冠大流行前夕，国际商界在新冠危机中的整体境况。

本数据集已整合至通用的微软Excel（Microsoft Excel）表格中，是一套融合新冠疫情统计数据与企业经营统计数据的独特数据库。该数据集具备灵活性，可补充其他国家的数据以及更新后的新冠疫情统计数据。由于数据集内并非固化数值，而是计算公式，因此当用户在数据集起始的原始表格中添加或修改数值时，绝大多数后续表格将自动重新计算，图表也会同步更新。这使得该数据集不仅可作为数据集合使用，更可作为分析工具，自动化开展新冠疫情与危机对国际商界影响的科学研究。

数据集不仅包含表格数据，还附带可实现数据可视化的图表。本数据集涵盖2020年第二次大流行期间的新冠实际发病与死亡数据，同时包含预测数据。预测数据以预测值的正态分布及其实际发生概率的形式呈现，支持针对新冠疫情与危机对国际商界的影响开展多场景分析：用户可在风险评估表格中代入不同的预测发病与死亡率，即可自动得到国际商界特征的变化（影响结果）。用户也可代入第二次大流行期间及后续获取的实际统计值，以验证前期预测的可靠性，并开展计划-实际对比分析。

本数据集不仅包含所研究指标的初始值与预测值的数值，还包含对应的定性解读，用以反映新冠疫情与危机对国际商界的风险存在性及风险等级。