COVİD -19 PANDEMİ SÜRECİNDE YURTİÇİNDE İNTERNETTEN YAPILAN KARTLI ÖDEME İŞLEMLERİNİN SEKTÖREL DAĞILIMININ VARYANS AYRIŞTIRMA MODELİ İLE ANALİZİ

Author:

BAYRAM Sonat1,SÖNMEZLER Gökhan1,GÜNDÜZ İsmail Orçun1

Affiliation:

1. Trakya University

Abstract

The effects of the Covid-19 pandemic process on the sectoral distribution of card payment transactions made over the internet in the country were analyzed with the variance decomposition model, and the differences between the pre-Covid (June 2019 - March 2020) period and the post-Covid (April 2020 - January 2022) period were revealed. The sectors with the highest increase in domestic use (transaction amount) of domestic cards (in terms of their share in the total card usage) were electrical, electronic goods, computers, markets and shopping centers, while the sectors that decreased the most were petrol and fuel stations, airlines, travel agencies and transportation. telecommunications industries. The sectors that showed the highest increase in domestic use of domestic cards (number of transactions) (in terms of their share in total card usage) were various food, electrical, electronic goods, computers, markets and shopping centers, while the sectors that decreased the most were clothing and accessories, airlines, services. sectors, travel agencies, transportation and telecommunication sectors.

Publisher

Nisantasi Universitesi Sosyal Bilimler Dergisi

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3