Impacts of COVID-19 and fiscal stimuli on global emissions and the Paris Agreement

Shan, Yuli; Ou, Jiamin; Wang, Dao-Ping; Zeng, Zhao; Zhang, Shaohui; Guan, Dabo; Hubacek, Klaus

doi:10.1038/s41558-020-00977-5

Cited by 165 publications

(129 citation statements)

References 57 publications

Supporting

Mentioning

126

Contrasting

Unclassified

Order By: Relevance

“…Thirdly, the references [22][23][24]26,27] performed comprehensive studies on transportation pricing, considering carbon emissions, and on the charging parameters for carbon emissions. However, research on the carbon emissions of cargo transportation that considers the competition between different transportation modes is relatively rare.…”

Section: Discussionmentioning

confidence: 99%

“…This is also one of the main considerations for our study-to demonstrate the impact of greenhouse gas emissions on the pricing of a green freight transportation system. Research in the same field has also been comprehensively analyzed by the authors of [27], who further analyzed the impacts of COVID-19 on global emissions and the Paris Agreement.…”

Section: Analysis Of Green Pricing Methods Considering Carbon Emissionsmentioning

confidence: 99%

See 1 more Smart Citation

A Bi-Level Model for Green Freight Transportation Pricing Strategy Considering Enterprise Profit and Carbon Emissions

et al. 2021

View full text Add to dashboard Cite

Due to the impact of COVID-19, enterprises need effective pricing strategies to improve profits and viability. In order to fill research gaps in the literature relating to market competition among different freight modes and to adjust the freight transportation structure by optimizing transportation prices, we propose a multi-objective bi-level programming pricing model that considers market competition and the carbon emissions of the freight system in China. First, an objective function in upper-level planning was used to improve logistics enterprise profits and reduce the total carbon emissions of the freight system. Then, a generalized cost function for the freight transportation mode was designed to quantify the market competition among different transportation modes, and a user equilibrium assignment model was established to obtain the results of cargo flow assignment in lower-level planning. To solve the model, a sensitivity analysis algorithm was designed, and a logistics network example was used to verify the effectiveness of the model. The experimental results show that reasonable freight price adjustment can effectively increase enterprise profits and reduce the total carbon emissions of the freight system. In this paper, we provide a new method for freight pricing research, considering the market competition of multiple transportation modes, and provide a new idea for adjusting the transportation structure through freight price optimization, which will play a positive role in promoting the development of green freight.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Analysis Of Green Pricing Methods Considering Carbon Emissionsmentioning

confidence: 99%

A Bi-Level Model for Green Freight Transportation Pricing Strategy Considering Enterprise Profit and Carbon Emissions

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The elasticity estimates show that a 1% increase in the coronavirus testing capacity brings to increase logistics activities and CSR activities by 0.029%, p < lt;0.049, and 0.240%, p < lt;0.002, respectively, while it decreases healthcare expenditures by −0.183%, p < lt;0.004. The cost of carbon emissions increases due to resuming corporate activities after minimizing the critical COVID-19 cases globally (Sovacool et al 2020 ; Shan et al 2021 ). Sustainable healthcare may promote healthcare logistics activities and corporate social responsibility, and reduce carbon damages, which are likely to move towards economic progression after reducing the pandemic recessionary phase (Amankwah-Amoah 2020 ; Ibn-Mohammed et al 2020 ; Sarkis 2020 ).…”

Section: Cross-sectional Regression Estimatesmentioning

confidence: 99%

Socio-economic and corporate factors and COVID-19 pandemic: a wake-up call

Anser

Yousaf

Hyder

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

The novel coronavirus 2019 (COVID-19) emerges from the Chinese city Wuhan and its spread to the rest of the world, primarily affected economies and their businesses, leading to a global depression. The explanatory and cross-sectional regression approach assesses the impact of COVID-19 cases on healthcare expenditures, logistics performance index, carbon damages, and corporate social responsibility in a panel of 77 countries. The results show that COVID-19 cases substantially increase healthcare expenditures and decrease corporate social responsibility. On the other hand, an increase in the coronavirus testing capacity brings positive change in reducing healthcare expenditures, increased logistics activities, and corporate social responsibility. The cost of carbon emissions increases when corporate activities begin to resume. The economic affluence supports logistics activities and improves healthcare infrastructure. It linked to international cooperation and their assistance to supply healthcare logistics traded equipment through mutual trade agreements. The greater need to enhance global trade and healthcare logistics supply helps minimize the sensitive coronavirus cases that are likely to provide a safe and healthy environment for living.

show abstract

“…Studies that can guide decisions on this issue are thus critically needed. Some studies are already available: IEA's Sustainable Recovery report 6 , the analysis of fiscal stimuli and recovery scenarios by Shan et al 7 , Pollitt et al 8 and Emmerling et al 9 and the work on single regions by Allan et al 10 and Lahcen et al 11 However, these studies have by now used older data and used a single model for their analysis. This study aims to go beyond this earlier work by analysing the energy use, economic, and emission impacts of both the COVID-19-pandemic and potential green recovery packages using multiple models.…”

Section: Introductionmentioning

confidence: 99%

Targeted green recovery measures in a post-COVID-19 world enable the energy transition

Dafnomilis

Chen

Elzen

et al. 2021

Preprint

View full text Add to dashboard Cite

Despite the significant volume of fiscal recovery measures announced by countries to deal with the COVID-19 crisis, most recovery plans allocate a low percentage to green recovery. We present scenarios exploring the long-term impact of the COVID-19 crisis and develop a Green Recovery scenario using three global models to analyze the impact of a more ambitious allocation. The results show that a Green Recovery scenario, with 1% of global GDP in fiscal support directed to mitigation measures for three years, could reduce global CO2 emissions by 10.5−15.5% below pre-COVID projections by 2030. The share of renewables in global electricity generation is projected to reach 45% in 2030, the uptake of electric vehicles would be accelerated, and energy efficiency in the buildings and industry sector would improve. However, such a temporary investment should be reinforced with sustained climate policies after 2023 to lead to socio-economic restructuring towards carbon neutrality by mid-century.

show abstract

Impacts of COVID-19 and fiscal stimuli on global emissions and the Paris Agreement

Cited by 165 publications

References 57 publications

A Bi-Level Model for Green Freight Transportation Pricing Strategy Considering Enterprise Profit and Carbon Emissions

A Bi-Level Model for Green Freight Transportation Pricing Strategy Considering Enterprise Profit and Carbon Emissions

Socio-economic and corporate factors and COVID-19 pandemic: a wake-up call

Targeted green recovery measures in a post-COVID-19 world enable the energy transition

Contact Info

Product

Resources

About