Does COVID-19 reduce international cooperation in supply chain research between the US and China?

PurposeThe purpose of this research is to systematically analyze the existing literature of the supply chain to explore the impact of COVID-19 on the international cooperation in supply chain research between the US and China.Design/methodology/approachSupply chain publications obtained from the Scopus database were analyzed using statistical technique and visual analysis. First, created three datasets of supply chain publications for three time periods: 2010–2019, 2015–2019 and 2020–2021. Then, compared the changes in international cooperation in supply chain research between the US and China before and during the epidemic, as well as the international cooperation patterns for the two countries.FindingsThe study found that during the pandemic, the average monthly number of collaborative publications between China and the US on supply chain research was higher than the five and the ten years before the epidemic. In other words, the epidemic has not led to a decline in international cooperation between the US and China. On the contrary, the epidemic has stimulated international cooperation on supply chain research in the two countries. Secondly, research on the international cooperation patterns of supply chain research shows that China and the US have always been each other's largest partners, and the two countries have generally maintained or increased international cooperation with their top research producing countries during the epidemic. In addition, in supply chain research during the epidemic, the proportion of US–China cooperation in China's international cooperation has declined, while that of the US has increased.Research limitations/implicationsThe time span of the datasets used to analyze the research status before and during COVID-19 is different. Due to the nature of data collection, available time of the dataset during COVID-19 is much shorter. Publications during the COVID-19 continue to grow, and the trends shown by the research results may change somewhat. Furthermore, the search query may not be comprehensive enough to capture all publications related to the supply chain.Practical implicationsThe research results help determine the impact of the COVID-19 outbreak on international cooperation in US–China supply chain research, and it is of great significance to researchers and policymakers in the field of logistics and supply chain operations.Originality/valueThis study gives a feasible analysis strategy for international cooperative research, which adds great value to this field.

Financing Constraints and Firm's Productivity Under the COVID-19 Epidemic Shock: Evidence of A-Shared Chinese Companies.

Focusing on the financing barriers to firm productivity improvement under the influence of external shocks, we empirically analyze the data of A-share listed companies from 2007-2018 to determine the impact of financing constraints on total factor productivity (TFP) in the context of COVID-19 pandemic and the paths of factor use efficiency and R&D innovation efficiency on this impact using ordinary least-squares (OLS) method. We find that financing constraints are an important factor inhibiting the TFP of firms. This inhibitory effect is more serious in small-scale firms, non-state firms, and non-energy firms. Further investigation shows that the inhibitory effect of financing constraints on firms' TFP is more pronounced when firms are located in the Yangtze River Delta city cluster, the Pearl River Delta city cluster, non-port cities, and provincial capitals. The mechanism test finds that improving the efficiency of capital use and labor use can alleviate the suppressive effect of financing constraints on TFP. The alleviating impact is more significant when capital use efficiency is improved. However, increasing the efficiency of R&D innovation further strengthens the inhibitory effect of financing constraints, and this effect is more pronounced under positive external shocks.

Nous nous concentrons sur les obstacles liés au financement qui entravent l'amélioration de la productivité des entreprises lorsqu'il y a des chocs externes, et nous analysons de façon empirique l'impact des contraintes de financement sur la productivité globale des facteurs des entreprises dans le contexte de la COVID-19, ainsi que les voies permettant l'efficacité d'utilisation des facteurs et l'efficacité de l'innovation en R&D sur cet impact. Pour ce faire, nous utilisons la méthode des moindres carrés ordinaires en nous basant sur les données de sociétés cotées en bourse de 2007 à 2018. Nous constatons que les contraintes de financement représentent un facteur important qui inhibe la productivité globale des facteurs des entreprises. Cet effet inhibiteur est plus prononcé au sein des petites entreprises, des entreprises non gouvernementales et des entreprises non énergétiques. Une autre étude révèle que l'effet inhibiteur des contraintes de financement sur la productivité globale des facteurs des entreprises est plus prononcé lorsque les entreprises sont situées dans le groupe de villes du delta du fleuve Yangtze, dans le groupe de villes du delta de la rivière des Perles, dans les villes non portuaires et dans les capitales provinciales. Le test du mécanisme révèle que l'amélioration de l'efficacité de l'utilisation du capital et de la main-d'œuvre des entreprises peut atténuer l'effet suppressif des contraintes de financement sur la productivité globale des facteurs. L'impact d'atténuation est plus important lorsque l'efficacité d'utilisation du capital est améliorée. Cependant, l'augmentation de l'efficacité de l'innovation en R&D renforce encore l'effet inhibiteur des contraintes de financement, et il est plus prononcé en cas de chocs externes positifs.

Plastic pollution induced by the COVID-19: Environmental challenges and outlook.

The COVID-19 pandemic has also caused an environmental challenge, especially plastic pollution. This study is aimed to provide a systematic review of the current status and outlook of research on plastic pollution caused by the COVID-19 pandemic using a bibliometrics approach. The results indicate developed countries were the first to pay attention to the impact of plastics on the ocean and ecological environment during COVID-19 and conducted related research, and then developing countries followed up and started research. Research in developed countries is absolutely dominant in plastic pollution induced by the COVID-19, although the plastic pollution faced by developing countries is also very serious. The author's co-occurrence analysis shows the Matthew effect. Keyword clustering shows that plastics have a harsh chain-like impact on the ecological environment from land to ocean to atmosphere. The non-degradable components of plastic bring a serious impact the ocean ecosystems, and then pose a serious threat to the entire ecosystem environment.

Bridging the research-practice gap in supply chain risks induced by the COVID-19

PurposeThis study aims to explore the gap between research and practice on supply chain risks due to COVID-19 by exploring the changes in global emphasis on supply chain risk research.Design/methodology/approachThis work designed a research framework to compare the research of supply chain risks before and during the COVID-19 pandemic based on machining learning and text clustering and using the relevant publications of the web of science database.FindingsThe results show that scholars' attention to supply chain crisis has increased in the wake of the COVID-19 outbreak, but there are differences among countries. The United Kingdom, India, Australia, the USA and Italy have greatly increased their emphasis on risk research, while the supply chain risk research growth rate in other countries, including China, has been lower than the global level. Compared with the pre-pandemic period, the research of business finance, telecommunications, agricultural economics policy, business and public environmental occupational health increased significantly during the pandemic. The hotspots of supply chain risk research have changed significantly during the pandemic, focusing on routing problem, organizational performance, food supply chain, dual-channel supply chain, resilient supplier selection, medical service and machine learning.Research limitations/implicationsThis study has limitations in using a single database.Social implicationsThis work compared the changes in global and various countries' supply chain risk research before and during the pandemic. On the one hand, it helps to judge the degree of response of scholars to the global supply chain risk brought about by COVID-19. On the other hand, it is beneficial for supply chain practitioners and policymakers to gain an in-depth understanding of the relationship between the COVID-19 pandemic and supply chain risk, which might provide insights into not only addressing the supply chain risk but also the recovery of the supply chain.Originality/valueThe initial exploration of the changing extent of supply chain risk research in the context of COVID-19 provided in this paper is a unique and earlier attempt that extends the findings of the existing literature. Secondly, this research provides a feasible analysis strategy for supply chain risk research, which provides a direction and paradigm for exploring more effective supply chain research to meet the challenges of COVID-19.

Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis.

The COVID-19 pandemic has further increased income inequality. This work is aimed to explore the impact of income inequality on the environmental Kuznets curve (EKC) hypothesis. To this end, income inequality is set as the threshold variable, economic growth is set as the explanatory variable, while carbon emission is set as the explained variable, and the threshold panel model is developed using the data of 56 countries. The empirical results show that income inequality has changed the relationship between economic growth and carbon emissions from an inverted U-shaped to an N-shaped, which means that income inequality redefines the environmental Kuznets curve and increases the complexity of the decoupling of economic growth and carbon emissions. Specifically, economic growth significantly increases carbon emissions during periods of low income inequality, however, as income inequality increases, economic growth in turn suppresses carbon emissions. In the period of high income inequality, economic growth inhibits the increase of carbon emissions. However, with the increase of income inequality, the impact of economic growth on carbon emission changes from inhibiting to promoting. Panel regressions for robustness tests show that this phenomenon is more pronounced in high-income countries. We therefore contend that the excessive income inequality is bad for the win-win goal of economic growth without carbon emission growth, and the income distribution policy should be included in the carbon neutral strategy.

Impact of the COVID-19 pandemic on research on marine plastic pollution – A bibliometric-based assessment

Fighting the COVID-19 pandemic has led to a dramatic increase in plastic waste, which has had a huge impact on the environment, including the marine environment. This work is aimed to evaluate the pattern of national research cooperation, research hotspots, and research evolution before and during the epidemic by systematically reviewing the publications on marine plastic pollution during 2015-2019 (before the pandemic) 2020-2022 (during the pandemic) using the Systematic Literature Review and Latent Semantic Analysis. The results show (i) Compared to pre-pandemic, publications on marine pollution during the COVID-19 pandemic declined briefly and then increased sharply. (ii) Compared with before the pandemic, the national cooperation model has changed during the pandemic, and four major research centers have been formed: Central European countries centered on Italy;Nordic countries centered on United Kingdom;South Korea;Asia and Africa centered on India A developing country and a Pacific Rim country centered on United States and China. (iii) The knowledge map of keyword clustering does not change significantly before and during the COVID-19: ecosystem, spatial distribution, environmental governance and biodegradation. However, there are differences in the sub-category research of the four types of keywords. (iv) The impact of marine plastics on organisms and the governance of marine plastic pollution have become a branch of knowledge that has evolved rapidly during the pandemic. The governance of marine plastic pollution and microplastics are expected to become an important research direction.

Does the COVID-19 pandemic derail US-China collaboration on carbon neutrality research? A survey

The COVID-19 pandemic has seriously impacted scientific research activities, especially international cooperation in scientific research. Using bibliometric methods and scientific knowledge graph software, and by calculating collaboration indicators such as international collaboration rates, this work conducts a comprehensive review of carbon neutrality publications in the Web of Science database before and during the COVID-19 pandemic, aiming to explore whether the COVID-19 pandemic derail China-U.S. collaboration on carbon neutrality research. The results show that (i) During the COVID-19 pandemic, more extensive research on carbon neutrality was carried out around the world, with China and the United States leading the way in carbon neutrality scientific output. (ii) Following the outbreak of the COVID-19, the global center of global carbon neutrality shifted from the United States to China. (iii) During the COVID-19 pandemic, research ties between China and the United States strengthened. The number of joint publications on carbon neutrality between China and the United States has greatly increased during the COVID-19 pandemic compared to those before. (iv) The proportion of China-U.S. cooperation in China's international cooperation has decreased, while it is the opposite for the United States. At the end of the article, we put forward relevant suggestions for realizing the sustainable development goals of climate change in the post-epidemic era for policymakers' reference. This paper provides offers important insights into the theoretical research of scholars in the field of carbon neutrality.

Does marine environmental research meet the challenges of marine pollution induced by the COVID-19 pandemic? Comparison analysis before and during the pandemic based on bibliometrics.

The outbreak of the COVID-19 pandemic has brought enormous challenges to the global marine environment. Various responses to the COVID-19 pandemic have led to increased marine pollution. Has the COVID-19 pandemic affected marine pollution research? This work comprehensively reviewed marine pollution publications in the Web of Science database before and during the COVID-19 pandemic. Results show that the COVID-19 outbreak has influenced the marine pollution research by: (i) increasing the number of publications; (ii) reshaping different countries' roles in marine pollution research; (iii) altering the hotspots of marine pollution research. The ranking of countries with high productivity in the marine pollution research field changed, and developed economies are the dominant players both before and after the outbreak of the COVID-19 pandemic in this field. Other high-productivity countries, with the exception of China, have higher international cooperation rates in marine pollution research than those before the pandemic. Microplastic pollution has been the biggest challenge of marine pollution and has been aexplored in greater depth during the COVID-19 pandemic. Furthermore, the mining results of marine pollution publications show the mitigation of plastic pollution in the marine environment remains the main content requires future research. Finally, this paper puts forward corresponding suggestions for the reference of researchers and practitioners to improve the global ability to respond to the challenges posed by the pandemic to the marine environment.

Elevated D-dimer and Adverse In-hospital Outcomes in COVID-19 Patients and Synergism with Hyperglycemia.

Aim: One of the most common laboratory findings in COVID-19 patients has been observed to be hypercoagulability with elevated D-dimer levels. An activation of thrombosis may be generated by hyperglycemia. We aimed to explore the association between D-dimer and in-hospital outcomes, and evaluate the synergistic effect between elevated D-dimer and hyperglycemia on COVID-19 prognosis. Methods: A retrospective cohort study was undertaken with 2467 COVID-19 inpatients. D-dimer and fasting blood glucose (FBG) on admission and adverse in-hospital outcomes (events of death and aggravated severity) were collected. Cox proportional risk model was performed to assess the association of D-dimer and adverse in-hospital outcomes, and the combined effects of D-dimer and FBG. Results: Among these COVID-19 patients, 1100 (44.6%) patients had high D-dimer (≥0.50 mg/L). Patients with high D-dimer were older, with higher FBG (≥7.00 mmol/L), and had significantly higher adjusted risk of adverse in-hospital outcomes when comparing with those who with D-dimer<0.50 mg/L (hazard ratio, 2.73; 95% confidence interval, 1.46-5.11). Moreover, patients with high FBG and D-dimer levels had an increasing risk (hazard ratio, 5.72; 95% confidence interval: 2.65-12.34) than those with normal FBG and D-dimer. Conclusion: Risk of adverse in-hospital outcomes is higher among patients with high D-dimer levels. Additionally, this study found for the first time that elevated D-dimer and hyperglycemia had a synergistic effect on COVID-19 prognosis, and this risk was independent of diabetes history.

The negative impact of the COVID-19 on renewable energy growth in developing countries: Underestimated.

According to the United Nations Environment Programme, the COVID-19 pandemic has created challenges for the economy and the energy sector, as well as uncertainty for the renewable energy industry. However, the impact on renewable energy during the pandemic has not been consistently determined. Instead of relying on data from year-to-year comparisons, this study redesigned the analytical framework for assessing the impact of a pandemic on renewable energy. First, this research designed an "initial prediction-parameter training-error correction-assignment combination" forecasting approach to simulate renewable energy consumption in a "no pandemic" scenario. Second, this study calculates the difference between the "pandemic" and "no pandemic" scenarios for renewable energy consumption. This difference represents the change in renewable energy due to the COVID-19 pandemic. Various techniques such as nonlinear grey, artificial neural network and IOWGA operator were incorporated. The MAPEs were controlled to within 5% in 80% of the country samples. The conclusions indicated that renewable energy in China and India declined by 8.57 mtoe and 3.19 mtoe during COVID-19 period. In contrast, the rise in renewable energy in the US is overestimated by 8.01 mtoe. Overall, previous statistics based on year-to-year comparisons have led to optimistic estimates of renewable energy development during the pandemic. This study sheds light on the need for proactive policy measures in the future to counter the global low tide of renewable energy amid COVID-19.

A New Method Based on LAMP-CRISPR-Cas12a-Lateral Flow Immunochromatographic Strip for Detection.

INTRODUCTION: Carbapenemase-mediated antimicrobial resistance is currently a hot spot of global concern. Carbapenem-resistant organisms are highly prevalent in hospitals associated with difficult-to-treat infections, resulting in poor clinical outcome due to limited treatment options. It is urgently needed to have a rapid, efficient, and convenient molecular assay for identifying such resistant strains. METHODS: For this end, we developed a new laboratory assay targeting Klebsiella pneumoniae carbapenemase (KPC) and New Delhi metallo-ß-lactamase (NDM) based on loop-mediated isothermal amplification, CRISPR-Cas12a, and lateral flow immunochromatographic strip (CRISPR-Cas-LAMP-lateral flow strip). The method was designed to use a guide RNA (gRNA) to recognize the target DNA and guide Cas12a to cleave the target DNA, and simultaneously cleave any single-stranded DNA within the cleavage reaction system. RESULTS: The cleavage products are visible to the naked eye on the lateral flow strip. This method is highly sensitive in direct detection of bacteria in samples containing at least 3×105 CFU/mL without the need for bacterial culture. DISCUSSION: It provides shorter turnaround time and higher specificity than the conventional bacterial culture and susceptibility testing method. This new assay is applicable for extensive use in hospital infection control, as well as identification and treatment of resistant strains due to simple operation and inexpensive apparatuses.

How does the EU's COVID-19 economic recession impact the renewable energy of other countries? The spillover effect

This work is aimed to explore the indirect impact of the EU's COVID-19 economic recession on global renewable energy consumption from the perspective of spillover effect. To this end, a global vector autoregressive (GVAR)-energy model was constructed based on the data of 33 major economies. After unit root test, cointegration test, weak exogeneity and structural stability test, the simulation results show that the spillover effects of the EU economic recession do not lead to a decline in the renewable energy consumption in all other countries. In fact, the spillover effect of the EU economic recession leads to an increase in renewable energy consumption in a small number of other countries, such as India. However, the spillover effect of the EU economic recession leads to a decline in renewable energy consumption in most other countries in the long run. Especially, the spillover effect of a 1% decline in the EU economy causes renewable energy consumption in the United States and China to fall by approximately 0.1% and 0.8%, respectively. Targeted renewable energy development policies should be developed to reduce the negative spillover effects of EU COVID-19 economic recession on renewable energy development.

Does protectionism improve environment of developing countries? A perspective of environmental efficiency assessment.

Past studies related to embodied pollutant accounting reported that free trade has increased the environmental pollution of developing economies, because the developed countries "outsource" their pollutants to developing nations. The COVID-19 pandemic has stimulated the rise of the most serious protectionism after World War II. This study is aimed to discuss whether protectionism improve the environment in developing countries by developing a comprehensive evaluation model, which integrates multi-regional input-output (MRIO), data envelopment analysis (DEA), and scenario analysis. We revealed the role of protectionism from two perspectives: the single impact on pollutant emissions and the comprehensive impact on environmental efficiency. Specifically, the capital inputs, labor inputs, energy consumption, economic output, carbon dioxide, sulfur dioxide and nitrogen oxides emissions related to global trade activities were simulated based on the MRIO. And then, sector-level trade environmental efficiency was computed by intergrading the MRIO and DEA using a non-radial directional distance function. Finally, the environmental efficiency of both developing and developed countries under two scenarios with and without trade were estimated. The results confirmed that trade has increased the CO2, SO2 and NOX emissions of developing economies by 12.9%, 9.8% and 12.3%, and has reduced that of developed economies by 6.0%, 29.4% and 21.2%, respectively. However, the results also uncovered that the environmental efficiency of developing and developed economies was dropped by 3% and 5%, respectively, under no-trade scenario. We contend that protectionism is not conducive to the sustainable development of developing countries because it lowers their environmental efficiency, although it may reduce their territorial pollutant emissions. For developed countries, the single impact of protectionism on pollutant emission reduction and the comprehensive impact on environmental efficiency are both negative.

The COVID-19 pandemic reshapes the plastic pollution research - A comparative analysis of plastic pollution research before and during the pandemic.

The outbreak of the COVID-19 pandemic has exacerbated plastic pollution worldwide. So has the COVID-19 pandemic changed the research on plastic pollution? This work aims to explore the impact of the pandemic on plastic pollution research by comprehensively assessing the current status and prospects of plastic pollution research before and during the COVID-19 pandemic. A collection of publications on the topic of plastic pollution in the Web of Science database concludes that the COVID-19 pandemic has reshaped the plastic pollution research: (i) The COVID-19 pandemic has changed the trend of plastic pollution publication output. Since the COVID-19 pandemic, the number of publications on the topic of plastic pollution has shown a significant increase trend; (ii) The COVID-19 pandemic has reversed the global research landscape of research on the plastic pollution. Since the outbreak of the pandemic, more and more countries have begun to pay attention to plastic pollution. Before the pandemic, developed countries were global leaders in plastic pollution research. However, during the pandemic, developing countries began to have a significant share in the quality, quantity and international cooperation of publications; (iii) The COVID-19 pandemic has redefined the major hotspots of plastic pollution research. The focus of research has changed significantly since the pandemic. Solving plastic pollution has become a major research content. During the epidemic, in-depth research on microplastics was conducted. The results of mining the publications on plastic pollution show that there is currently no effective solution to plastic pollution caused by the COVID-19. However, given the seriousness of controlling plastic pollution, it is very necessary to continue to carry out more research.

How to Dispose of Medical Waste Caused by COVID-19? A Case Study of China.

The rapid increase in novel coronavirus (COVID-19) patients also means a rapid increase in medical waste that could carry the novel coronavirus (SARS-CoV-2). How to safely dispose of medical waste caused by COVID-19 is a huge challenge that needs to be solved urgently. The outbreak of the COVID-19 has led to a significant increase in the daily generation of medical waste in China and has placed a severe test on the Chinese medical waste disposal system. Unlike ordinary wastes and garbage, medical waste that is untreated or incompletely treated will not only cause environmental pollution, but also directly or indirectly cause infections and endanger people's health. Faced with difficulties, the Chinese government formulated a policy for medical waste management and a response plan for the epidemic, which provides policy guarantee for the standardized disposal of epidemic medical waste. In addition, the government and medical institutions at all levels formed a comprehensive, refined, and standardized medical treatment process system during research and practice. China has increased the capacity of medical waste disposal in various places by constructing new centralized disposal centers and adding mobile disposal facilities. China has achieved good results in the fight against COVID-19, and the pressure on medical waste disposal has been relieved to a certain extent. However, the global epidemic situation is severe. How to ensure the proper and safe disposal of medical waste is related to the prevention and control of the epidemic situation. This study summarizes China's experience in the disposal of medical waste in the special case of COVID-19 and hopes to provide some reference for other countries in the disposal of medical waste.

Impact of COVID-19 pandemic on oil consumption in the United States: A new estimation approach.

The COVID-19 pandemic broke the balance of oil supply and demand. Meeting these oil market challenges induced by the pandemic required a more accurate assessment of the impact of the pandemic on oil consumption. The existing measurement of the impact of the pandemic on oil consumption was based on year-over-year calculation. In this work, a new measurement approach based on a comparison of simulated and actual oil consumption was proposed. In this proposed measurement model, the actual oil consumption was from the official statistics, whereas the simulated oil demand came from business-as-usual (without pandemic) scenario simulation. In order to reduce the simulation error, three hybrid simulation approaches were developed by combining the simulation technique and machine learning technique. The mean relative errors of the proposed simulation approaches were between 1.08% and 2.51%, within the high precision level. An empirical research on the US oil consumption was conducted by running the proposed measurement model. Through analyzing the difference between the simulated and real US oil consumption, we found the impact of the epidemic on U.S. oil consumption was obvious in April-May 2020 and January-February 2021. At its worst, the oil decline in the United States reached 973 trillion British thermal units, compared to the state without the epidemic. During the entire survey period (January 2020-March 2021), the US oil consumption under the epidemic was about 18.14% lower than that under the normal epidemic-free situation, which was 5% higher than the 13% inter-annual decline rate reported. This work contributed to understand the impact of the pandemic on oil consumption more comprehensively, and also provided a new approach for analyzing the impact of the pandemic on energy consumption.

Underestimated impact of the COVID-19 on carbon emission reduction in developing countries - A novel assessment based on scenario analysis.

Existing studies on the impact of the COVID-19 pandemic on carbon emissions are mainly based on inter-annual change rate of carbon emissions. This study provided a new way to investigate the impact of the pandemic on carbon emissions by calculating the difference between the pandemic-free carbon emissions and the actual carbon emissions in 2020 based on scenario analysis. In this work, derived from Autoregressive Integrated Moving Average (ARIMA) method and Back Propagation Neural Network (BPNN) method, two combined ARIMA-BPNN and BPNN-ARIMA simulation approaches were developed to simulate the carbon emissions of China, India, U.S. and EU under the pandemic-free scenario. The average relative error of the simulation was about 1%, which could provide reliable simulation results. The scenario simulation of carbon emission reduction in the US and EU were almost the same as the inter-annual change rate of carbon emissions reported by the existing statistics. However, the scenario simulation of carbon emission reduction in China and India is 5% larger than the inter-annual change rate of carbon emissions reported by the existing statistics. In some sense, the impact of the pandemic on carbon emission reduction in developing countries might be underestimated. This work would provide new sight to more comprehensive understanding of the impact of the pandemic on carbon emissions.

Carbon emission post-coronavirus: Continual decline or rebound?

Studies have shown that the COVID-19 pandemic has led to a significant drop in carbon emissions in 2020, however, it is an open question whether carbon emissions continue to decline after the COVID-19 pandemic. To forecast the changes in carbon emissions after the pandemic, this study analyzed the long-term relationship between the extreme events and carbon emissions since 1960, and short-term drivers of the changes in carbon emissions before and after the 2008 financial crisis. Extreme events cannot change the upward trend of carbon emission in the long run. Specifically, the extreme events (1973 oil crisis, the American Reserve Loan Association crisis, the disintegration of the former Soviet Union, the Asian financial crisis and the 2008 financial crisis) led to a decline in carbon emissions temporarily, however, a retaliatory rebound of carbon emission were occurred after the extreme events. The long-term relationship between extreme events and carbon emission indicate that this unfolding extreme event (COVID-19 pandemic) cannot change the trend the carbon emission, and carbon emission will be rebound after the pandemic. In addition, the decomposition results showed the main contributor to the retaliatory rebound of carbon emissions after the 2008 financial crisis was the decline in energy efficiency. The decline in energy efficiency was caused by the economic recovery plan post 2008 financial crisis, which stimulated the economy and employment at a cost of energy efficiency and environmental protection. The current economic recovery plans to deal with COVID-19 pandemic also prioritizes economic development and job creation, while ignoring energy efficiency. Therefore, the post-pandemic carbon emissions will repeat the carbon emissions after the 2008 financial crisis, i.e., there will a retaliatory rebound. To avoid the retaliatory rebound, improving energy efficiency should be included in these economic recovery plan to cope with COVID-19 pandemic.