6
views
0
recommends
+1 Recommend
2 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Has COVID-19 Changed China's Digital Trade?—Implications for Health Economics

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Digital technologies have played a significant role in the defense against the COVID-19 pandemic. This development raises the question of whether digital technologies have helped Chinese exports recover quickly and even grow. To answer this question, we study monthly data on Chinese exports to 40 countries/regions from January 2019 to June 2020 and covering 97 product categories. The study takes the COVID-19 outbreak as a natural experiment and treats digital trade products as the treatment group. Using a generalized difference-in-differences (DID) approach, we empirically investigate how this major global public health crisis and digital trade have influenced Chinese exports. Our empirical analysis reveals that the COVID-19 pandemic has inhibited China's export trade overall, digital trade has significantly promoted trade, and the supply mechanism has played a significant role in promoting the recovery of exports. Heterogeneity tests on destination countries/regions reveal that digital trade has significantly promoted exports to countries/regions with different income levels, with a more significant effect on low-risk destinations than on high-risk destinations. The sector heterogeneity test demonstrates that digital trade has enhanced the export recovery of sectors dealing in necessities for pandemic prevention. Other robustness tests, including parallel trend and placebo tests, support the above conclusions. Finally, we extend the research conclusions and discuss their implication for health economics and the practice of fighting COVID-19.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: found
          • Report: not found

          Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand

          The global impact of COVID-19 has been profound, and the public health threat it represents is the most serious seen in a respiratory virus since the 1918 H1N1 influenza pandemic. Here we present the results of epidemiological modelling which has informed policymaking in the UK and other countries in recent weeks. In the absence of a COVID-19 vaccine, we assess the potential role of a number of public health measures – so-called non-pharmaceutical interventions (NPIs) – aimed at reducing contact rates in the population and thereby reducing transmission of the virus. In the results presented here, we apply a previously published microsimulation model to two countries: the UK (Great Britain specifically) and the US. We conclude that the effectiveness of any one intervention in isolation is likely to be limited, requiring multiple interventions to be combined to have a substantial impact on transmission. Two fundamental strategies are possible: (a) mitigation, which focuses on slowing but not necessarily stopping epidemic spread – reducing peak healthcare demand while protecting those most at risk of severe disease from infection, and (b) suppression, which aims to reverse epidemic growth, reducing case numbers to low levels and maintaining that situation indefinitely. Each policy has major challenges. We find that that optimal mitigation policies (combining home isolation of suspect cases, home quarantine of those living in the same household as suspect cases, and social distancing of the elderly and others at most risk of severe disease) might reduce peak healthcare demand by 2/3 and deaths by half. However, the resulting mitigated epidemic would still likely result in hundreds of thousands of deaths and health systems (most notably intensive care units) being overwhelmed many times over. For countries able to achieve it, this leaves suppression as the preferred policy option. We show that in the UK and US context, suppression will minimally require a combination of social distancing of the entire population, home isolation of cases and household quarantine of their family members. This may need to be supplemented by school and university closures, though it should be recognised that such closures may have negative impacts on health systems due to increased absenteeism. The major challenge of suppression is that this type of intensive intervention package – or something equivalently effective at reducing transmission – will need to be maintained until a vaccine becomes available (potentially 18 months or more) – given that we predict that transmission will quickly rebound if interventions are relaxed. We show that intermittent social distancing – triggered by trends in disease surveillance – may allow interventions to be relaxed temporarily in relative short time windows, but measures will need to be reintroduced if or when case numbers rebound. Last, while experience in China and now South Korea show that suppression is possible in the short term, it remains to be seen whether it is possible long-term, and whether the social and economic costs of the interventions adopted thus far can be reduced.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Soap Operas and Fertility: Evidence from Brazil

                Bookmark

                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                02 March 2022
                2022
                02 March 2022
                : 10
                : 831549
                Affiliations
                [1] 1Global Value Chain Research Center, Zhejiang Gongshang University , Hangzhou, China
                [2] 2School of Management, Shandong Technology and Business University , Yantai, China
                [3] 3Institute of Spatial Planning and Design, Zhejiang University City College , Hangzhou, China
                [4] 4School of Information Engineering, Zhengzhou University , Zhengzhou, China
                [5] 5School of MBA, Zhejiang Gongshang University , Hangzhou, China
                [6] 6China State Construction International Investments (Zhejiang Province) Ltd. , Hangzhou, China
                [7] 7Research Centre, Shanghai Yice Think Tank , Shanghai, China
                [8] 8Jinhua JG Tools Manufacturing Co., Ltd. , Jinhua, China
                [9] 9Sales Department, Estone SRL , Carrara, Italy
                Author notes

                Edited by: Guo-Ping Chang-Chien, Cheng Shiu University, Taiwan

                Reviewed by: Gowokani Chijere Chirwa, University of Malawi, Malawi; Qian Li, Beijing Technology and Business University, China

                *Correspondence: Haiyan Zhou zhouhaiyanzucc@ 123456hotmail.com

                This article was submitted to Health Economics, a section of the journal Frontiers in Public Health

                †These authors have contributed equally to this work

                Article
                10.3389/fpubh.2022.831549
                8924300
                35309208
                ad2d542b-c9ac-49e5-a5d2-836680af0aaf
                Copyright © 2022 Hu, Qiu, Xi, Zhou, Hu, Su, Zhou, Li, Yang, Duan, Dong, Wu, Zhou, Zeng, Wan and Wei.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 08 December 2021
                : 04 February 2022
                Page count
                Figures: 2, Tables: 8, Equations: 6, References: 44, Pages: 14, Words: 10705
                Categories
                Public Health
                Original Research

                covid-19,digital trade,chinese exports,natural experiments,generalized difference-in-differences

                Comments

                Comment on this article