An empirical analysis: Did green supply chain management alleviate the effects of COVID‐19?

Fasan, Marco; Zaro, Elise Soerger; Zaro, Cláudio Soerger; Porco, Barbara; Tiscini, Riccardo

doi:10.1002/bse.2772

Cited by 49 publications

(62 citation statements)

References 49 publications

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“…During the same period, Dow Jones, FTSE 100, DAX, NIKKEI 225, Shanghai and BIST 100 lost value by 34%, 34%, 35%, 27%, 14% and 29%, respectively (Bloomberg, 2008 ). Moreover, the rise in the Chicago Board Options Exchange Volatility Index (CBOE VIX), which is considered as one of the leading indicators of the business cycles and which reflects the volatility in global markets, was very close to the value it had assumed in the 2008 global financial crisis (Fasan et al, 2021 ; Just & Krzysztof, 2020 ; Salisu & Akanni, 2020 ). The CBOE VIX value, which reached 80 points during the 2008 global financial crisis, reached the same level at the end of March 2020 (see Figure 1 ).…”

Section: A Literature Review and The Variable Selectionmentioning

confidence: 82%

The resilience of green firms in the twirl of COVID‐19: Evidence from S&P500 Carbon Efficiency Index with a Fourier approach

2021

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This paper investigates the resilience of environmentally friendly companies in an overwhelming economic and social environment that has been generated after the outbreak of the novel coronavirus disease (COVID‐19) pandemic. To this respect, we have investigated the cointegration between the Standard & Poor's (S&P) 500 Carbon Efficiency Index (CEI) with COVID‐19 cases, supplemented with covariates such as government response stringency to the pandemic, economic policy uncertainty, oil prices and global markets fluctuations. We have used daily data from 2nd January to 5th October 2020 and have employed a robust estimator within a Fourier approach to accommodate both sharp and smooth breaks. Our results suggest that green companies have been positively affected by the outbreak of COVID‐19. Our paper provides practical implications for companies that wish to furnish themselves with resilience during rough times and stakeholders who wish to invest in safe, long‐lasting returns.

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Section: A Literature Review and The Variable Selectionmentioning

confidence: 82%

The resilience of green firms in the twirl of COVID‐19: Evidence from S&P500 Carbon Efficiency Index with a Fourier approach

2021

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“…Furthermore, 33 barriers were identified in innovations for sustainable SCM in the manufacturing industry of a developing country, and a framework to overcome these barriers was provided by using the best–worst method (Gupta et al 2020 ). However, Fasan et al ( 2021 ) reported that companies with green SCM practices experienced less negative abnormal stock returns during the pandemic. They suggested that green SCM is identified as an effective risk management tool.…”

Section: Emerging Research Themes Of Ai and Supply Chain Resiliencymentioning

confidence: 99%

Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research

et al. 2021

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The challenging situations and disruptions that occurred due to the outbreak of the COVID-19 pandemic have created a severe need for supply chain resiliency (SCR). There has been a growing interest among researchers to investigate the resiliency in supply chain operations to overcome risks and disruptions and to achieve successful project management. The supply chain of every business requires innovative projects to accomplish competitive advantage in the market. This study was conducted to identify the significance of artificial intelligence (AI) for creating a sustainable and resilient supply chain, and also to provide optimum solutions for supply chain risk mitigation. A systematic literature review has been conducted to examine the potential research contribution or directions in the field of AI and SCR. In total, 162 articles were shortlisted from the SCOPUS database in the chosen field of research. Structural Topic Modeling (STM), a big data-based approach, was employed to generate several thematic topics of AI in SCR based on the shortlisted articles, and all topics were discussed. Furthermore, the bibliometric analysis was conducted using R-package to investigate the research trends in the area of AI in SCR. Based on the conducted review of literature, a research framework was proposed for AI in SCR that will facilitate researchers and practitioners to improve technological development in supply chain firms. The purpose is to combat sudden risks and disruptions so that project management will perform well Post COVID-19. The study will be also helpful for future researchers and practitioners to identify research directions based on existing literature covered in this paper in the field of SCR. Future research directions are proposed for AI-enabled resilient supply chain management. This study will also provide several implications for supply chain managers to achieve the required resilience in their supply chains post COVID-19 by focusing on the elements of the proposed research framework.

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“…According to the efficient market hypothesis of Eugene F. Fama, all valuable information can be precisely and timely reflected through the stock price [38]. In this way, we can observe stock price fluctuations during the event window to analyze the influence of the event, just as many studies already have done in investigating how the outbreak of events influence firm value [39][40][41]. The DiD methodology avoids endogeneity raised by reverse causality and omitted variables.…”

Section: Methodsmentioning

confidence: 99%

“…Based on previous literature [41], we conducted the event study and measured firm value by calculating the cumulative abnormal return (CAR) and abnormal return (AR) surrounding the event of the "4 + 7" procurement policy. The measurement includes the following steps.…”

Section: Firm Valuementioning

confidence: 99%

Will the Volume-Based Procurement Policy Promote Pharmaceutical Firms’ R&D Investment in China? An Event Study Approach

Chen

Qiu

et al. 2021

IJERPH

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Innovation is the key to the development of the pharmaceutical industry. The pilot program of China’s “4 + 7” volume-based procurement policy (“4 + 7” procurement policy) brings the drug price back to a reasonable level through trading procurement quantities for lower drug prices. The policy manages to reduce the burden of the health care system, improve efficiency, and push the pharmaceutical industry to transform and update from the era of high gross profit of generic drugs to innovative drugs. So far, few studies have investigated the influence of the volume-based procurement policy on the innovation of pharmaceutical firms. By combining the event study and Difference-in-Difference (DiD) methodology, this study finds that the abnormal return (AR) of firms with high R&D intensity is lower than that of firms with low R&D intensity during the event window period. Moreover, further analysis identifies the moderating effect of firm size and firm type. Specifically, the results show that the negative influence of high R&D intensity on abnormal return (AR) during the announcement of the “4 + 7” procurement policy is stronger in large firms and innovative pharmaceutical firms. Finally, we discuss the policy implications of our study.

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An empirical analysis: Did green supply chain management alleviate the effects of COVID‐19?

Cited by 49 publications

References 49 publications

The resilience of green firms in the twirl of COVID‐19: Evidence from S&P500 Carbon Efficiency Index with a Fourier approach

The resilience of green firms in the twirl of COVID‐19: Evidence from S&P500 Carbon Efficiency Index with a Fourier approach

Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research

Will the Volume-Based Procurement Policy Promote Pharmaceutical Firms’ R&D Investment in China? An Event Study Approach

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