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Статистичний аналіз розвитку світового ринку електронної торгівлі

Authors: Syhyda, Liubov Oleksiivna; Saher, Liudmyla Yuriivna; Reshetniak, Yaroslav Viacheslavovych;

Статистичний аналіз розвитку світового ринку електронної торгівлі

Abstract

У статті здійснено аналіз світового ринку електронної торгівлі. Визначено обсяги продажу товарів онлайн в динаміці з 2014 року. Досліджено обсяги продажів на ринку електронної торгівлі за регіонами світу. Встановлено, що на глобальні показники продажів суттєво впливають Китай та США, які займають перші два місця серед країн світу за обсягом продажу товарів на ринку електронної комерції. Проаналізовано аналогічні показники для ринку електронної комерції в Європі. Визначено динаміку зростання онлайн-покупців у різних країнах Європи, а також способи оплати, які вони використовуються найчастіше. В статье проведен анализ мирового рынка электронной торговли. Определены объемы продаж товаров онлайн в динамике с 2014 года. Исследованы объемы продаж на рынке электронной торговли по регионам мира. Установлено, что на глобальные показатели продаж оказывают существенное влияние Китай и США, которые занимают первые два места среди стран мира по объему продаж товаров на рынке электронной коммерции. Проанализированы аналогичные показатели для рынка электронной коммерции в Европе. Определена динамика роста онлайн-покупателей в разных странах Европы, а также наиболее часто используемые способы оплаты. The article analyzes the world e-commerce market. The volumes of products online-sales in the dynamics since 2014 are determined. The volumes of sales in the e-commerce market by regions of the world are studied. The largest one is the Asia-Pacific region. It accounts for 62.6% of all e-commerce sales. It is followed by the North American region (19.1% of all global e-commerce sales) and the Western Europe region (12.7% of all global e-commerce sales). It is established that global sales figures are significantly influenced by China and the United States of America. These countries rank the first and the second places responsively in the world in terms of products' sales in the e-commerce market. Similar indicators for the European e-commerce market are analyzed. The dynamics of the growth of online shoppers in different European countries are determined. The payment methods that online shoppers use most often are highlighted. The most popular methods in many countries are debit and credit card payments. Nevertheless, German online shoppers prefer ELV payments, and online shoppers from the Netherlands choose IDEAL. The most popular categories of online products are small appliances, books, clothing and shoes, computers and accessories, tickets. People like to buy online products at lower prices and universe products. The reason is that the target audience of universe products is not limited by age, body composition, psychological complexes, and other factors that can potentially reduce interest in the products. The results of this study determine the expediency and perspective directions of world e-commerce development.

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Keywords

retailing, способы оплаты, payment methods, 330, электронная коммерция, світова торгівля, онлайн-покупка, способи оплати, 650, розничная торговля, мировая торговля, e-commerce, роздрібна торгівля, world trade, електронна комерція, online purchase, онлайн-купівлі

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green