The SARS-COV2 pandemic had a strong impact on the Romanian and European e-Market, manifested by the explosive increase in online sales, especially at the beginning of the two waves of epidemic, in spring and autumn. Using a statistical regressive analysis of monthly change in the volume of online sales in Romania, we propose a non-linear regression model of growth of this commercial sector that take into account the economic and socials effects of the three pandemic waves in 2020-2021, combining logistic equations of growth with attenuated quasi-periodical variations of market. The model allows a prediction of the overall behavior of online buyers for 2021 and 2022, similar to last year, but with annual growth peaks slightly less pronounced than in 2020.
"The emergence and accelerated spread of COVID-19 has severely affected Romanian and European e-Market, manifested by the explosion of sales of basic products. We propose in this paper a non-linear model of growth of e-Commerce observed in the Romanian retail sector that consider the economic and socials effects of the two pandemic Waves in 2020. Starting from the hypothesis, statistically verified, that the effect of a Pandemic crisis can be strongly related to the global increase of sales in e-Market and the accentuation of seasonal variation of this sector, we obtained a first nonlinear model that can simulate with a high level of confidence (95%) the chaotically effects of a pandemic crisis on the very volatile sector of digital retailing and allows a prediction of the general behaviour of Romanian e-Market for 2021 and 2022."
This study examines the response of the Consumer Price Index (CPI) in local currency to the COVID-19 pandemic using monthly data (March 2020–February 2022), comparatively for six European countries. We have introduced a model of multivariate adaptive regression that considers the quasi-periodic effects of pandemic waves in combination with the global effect of the economic shock to model the variation in the price of crude oil at international levels and to compare the induced effect of the pandemic restriction as well and the oil price variation on each country’s CPI. The model was tested for the case of six emergent countries and developed European countries. The findings show that: (i) pandemic restrictions are driving a sharp rise in the CPI, and consequently inflation, in most European countries except Greece and Spain, and (ii) the emergent economies are more affected by the oil price and pandemic restriction than the developed ones.
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