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Publication date: 14 September 2022

Bisharat Hussain Chang, Raheel Gohar, Omer Faruk Derindag and Emmanuel Uche

This research examines the impact of lockdown stringency measures and COVID-19 cases on food and healthcare prices in six Brazil, Russia, India, China, South Africa and Turkey…

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Abstract

Purpose

This research examines the impact of lockdown stringency measures and COVID-19 cases on food and healthcare prices in six Brazil, Russia, India, China, South Africa and Turkey (BRICST) countries. This research is conducted in these countries since previous studies failed to examine the effect of COVID-19 reported cases on food and healthcare prices.

Design/methodology/approach

To achieve the objectives of this study, food and healthcare services were regressed against CVC and lockdown stringency measures using the dynamic autoregressive distributed lag (DARDL) model. For this purpose, we used daily data for BRICST countries such as Brazil, Russia, India, China, South Africa and Turkey.

Findings

The empirical evidence indicates that, in the long run, COVID-19 cases significantly and positively affect both food and healthcare prices in India, South Africa and China. In contrast, in the short run, COVID-19 positively affects food and healthcare prices in all countries except Russia and Turkey. Similarly, in the long run, the government stringency index (GSI) and Containment and Health Index (CHI) significantly affect health prices in India and South Africa. In contrast, GSI and CHI significantly affect healthcare prices in South Africa only in the short run. Finally, GSI and CHI significantly affect the food prices in the long run in India, South Africa and China and in the short run in South Africa only.

Originality/value

The widespread impact of the new Coronavirus (COVID-19) has made the world panic. COVID-19 affected all spheres of life, including food supplies and healthcare services. However, most of the empirical research failed to examine the impact of COVID-19 cases on food and healthcare prices which is the main focus of this study. Moreover, in the given context, the authors use a recently developed model that the previous studies failed to use.

Details

Journal of Economic Studies, vol. 50 no. 5
Type: Research Article
ISSN: 0144-3585

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Article
Publication date: 10 May 2023

Caglayan Aslan, Omer Faruk Derindag and Salih Parmaksiz

This study examines the impact of raising the ceiling value of Electronic Commerce Custom Declarations (ECCD) on Turkey's export performance processed via ECCD during the COVID-19…

248

Abstract

Purpose

This study examines the impact of raising the ceiling value of Electronic Commerce Custom Declarations (ECCD) on Turkey's export performance processed via ECCD during the COVID-19 period.

Design/methodology/approach

This paper examines the impact of the pandemic conditions on Cross-Border Electronic Commerce (ECCD) exports from Turkey to 47 countries over 42 months before and during the pandemic. An empirical analysis using the Pooled Mean Group (PMG) and Mean Group (MG), Panel Autoregressive Distributed Lag (ARDL) approach was conducted to identify the factors affecting export flows.

Findings

The findings suggest that raising the ceiling of the ECCD trade is a vital factor in increasing exports. and this result is robust after controlling for pandemic conditions. On the other hand, although the COVID-19 shock mitigates the export volume of ECCD in the short run, it changes by reversal and increases the export level in the long run. Additionally, the number of COVID-19 cases and deaths in Turkey have a significant and negative impact on export flows in the short run, while they have a positive and significant effect in the long run.

Practical implications

The results of this study have practical implications for policymakers, emphasizing the potential and significance of Cross-Border E-Commerce (CBEC) trade.

Originality/value

The study is a pioneering effort in the literature of CBEC to explore how changes in the upper limit on customs declarations can affect export flows, taking into account the impact of the COVID-19 pandemic.

Details

Kybernetes, vol. 53 no. 10
Type: Research Article
ISSN: 0368-492X

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