Georgescu Mircea Radu, Stoica Eduard Alexandru, Bogoslov Ioana Andreea, Lungu Anca Elena
Faculty of Economics and Business Administration, Alexandru Ioan Cuza University of Iași, Iași, 700506, Romania.
Faculty of Economic Sciences, Lucian Blaga University of Sibiu, Sibiu, 550324, Romania.
Procedia Comput Sci. 2022;204:432-439. doi: 10.1016/j.procs.2022.08.053. Epub 2022 Sep 10.
The COVID-19 pandemic context asserted the digitalization process in the European Union member countries five years forward (at least). The digital divide, a frequent debated issue was brought to the fore, and, under these circumstances, the proposed aim of the paper is to analyze the digitalization process, considering the data provided by Digital Economy and Society Index (DESI) and, additionally, the Stringency Index, that measure the governmental restrictions during the pandemic for 2020. From a methodological perspective, the empirical study focused on performing the Data Envelopment Analysis (DEA) non-parametric test. Measuring the digitalization efficiency or inefficiency of the European member states was conducted by using an output-oriented model, focused on output maximization for a given level of input, assuming Constant Returns to Scale (CRS). The results highlighted major discrepancies between the European countries. Solely eight countries out of 27 can be considered efficient in the digitalization processes during the COVID-19 pandemic. Based on the model, the most efficient EU countries could be considered peers/benchmarks for the inefficient ones, which should examine the best practices in order to improve their current situation.
新冠疫情背景使欧盟成员国的数字化进程至少提前了五年。数字鸿沟这一经常被讨论的问题被凸显出来,在这种情况下,本文的既定目标是结合数字经济与社会指数(DESI)以及另外的严格性指数所提供的数据来分析数字化进程,严格性指数衡量了2020年疫情期间政府的限制措施。从方法论角度来看,实证研究聚焦于进行数据包络分析(DEA)非参数检验。通过使用一个以产出为导向的模型来衡量欧盟成员国的数字化效率或无效率,该模型专注于在给定投入水平下实现产出最大化,并假设规模报酬不变(CRS)。结果凸显了欧洲国家之间的重大差异。在27个国家中,只有8个国家在新冠疫情期间的数字化进程中可被视为有效率。基于该模型,数字化效率最高的欧盟国家可被视为效率较低国家的对标/基准,后者应研究最佳实践以改善自身现状。