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Impacts of the COVID-19 epidemic on carbon emissions from international shipping.
Xu, Lang; Yang, Zhihui; Chen, Jihong; Zou, Zeyuan.
  • Xu L; College of Transport & Communications, Shanghai Maritime University, Shanghai, China. Electronic address: xulang@shmtu.edu.cn.
  • Yang Z; College of Transport & Communications, Shanghai Maritime University, Shanghai, China.
  • Chen J; College of Management, Shenzhen University, Shenzhen, China. Electronic address: cxjh2004@163.com.
  • Zou Z; College of Transport & Communications, Shanghai Maritime University, Shanghai, China.
Mar Pollut Bull ; 189: 114730, 2023 Apr.
Article in English | MEDLINE | ID: covidwho-2246471
ABSTRACT
The COVID-19 epidemic made the most countries to take strict lockdown measures, what has seriously caused an unprecedented impact in the shipping industries, whereas these measures have also played a significant impact to control carbon emissions from international shipping. Here, we try to use the threshold generalized autoregressive conditional heteroscedasticity and the exponential generalized autoregressive heteroscedasticity to investigate whether the fluctuations of the control variable on carbon emissions from international shipping are asymmetric or not. On this basis, the GARCH-MIDAS model is introduced to discuss whether the newly confirmed cases are independent of control variables and have an impact on the fluctuation of carbon emissions. From the results, we find that the information contained in the newly confirmed cases cannot be covered when adding the other control variables. In addition, the newly confirmed cases have a negative impact on the volatility of carbon emissions, while the other control variables significantly increase carbon emissions. This study provides a quantitative research method for the analysis of the volatility and impact factors on international shipping carbon emissions, which helps to formulate more reasonable emission reduction measures and promote the low-carbon transformations of the global shipping industry.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Carbon / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Mar Pollut Bull Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Carbon / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Mar Pollut Bull Year: 2023 Document Type: Article