The financial impact of carbon risk and mitigation strategies: Insights from the automotive industry

Palea, Vera; Santhià, Cristina

doi:10.1016/j.jclepro.2022.131001

Cited by 31 publications

(10 citation statements)

References 62 publications

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“…Climate change is a big threat to the stability of the economy’s finances because it exposes the economy to physical and climate risks (Palea and Santhia 2022 ). The physical risks come from the immediate effects of climate change, like more frequent and stronger natural disasters (Dawson et al 2022 ).…”

Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Financial stability influence on climate risk, GHG emission, and green economic recovery of China

Liu

2023

Environ Sci Pollut Res

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This study examines the nexus between financial stability, climate risks, GHG emission mitigation, and green economic recovery of China. Financing efforts to protect against and reduce the hazards associated with climate change need to consider these risks and resources. Study used the Kalman technique of analysis for empirical inference. This research focuses on the carbon risk in China by employing a Kalman estimation approach. Although environmental mitigation was found to be important at 39%, financial strength and carbon hazards were considerable at 34%. Moreover, the report demonstrates the relationship between climatic threats and environmental drift in China, at a rate of 17%, emphasizing the need to address climate change issues. A state’s fiscal health guarantees national economic security while pursuing green economic recovery initiatives. Researchers concluded that precise policy suggestions were needed to promote green economic development.

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Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Financial stability influence on climate risk, GHG emission, and green economic recovery of China

Liu

2023

Environ Sci Pollut Res

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“…One of the most popular topics in the field of the automotive industry is the relationship between environmental and economic issues, aimed at determining the direct relationship between the two mutually exclusive categories and sustainability development (Liu et al, 2018;Rovinaru et al, 2019;García-Machado & Martínez-Ávila, 2019;Meckling & Nahm, 2019;Gohoungodji et al, 2020;Haas, 2021;Hu et al, 2021;Szász et al, 2021;Palea & Santhià, 2022;Beier et al, 2022;Lukin et al, 2022). Some authors perform comparative analysis of companies in the field of the automotive industry (Scavarda et al, 2009;Shah & Regassa, 2010;Studeny, 2015;Lui et al, 2018;Gorgoni et al, 2018;Mordue & Sweeney, 2020;Lukin et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

“…They are most often available in the form of various case studies. They focus both on the global market and the individual markets where this company operates, analyzing it in various terms (Li, 2018;Madoh et al, 2019;Priyadi, 2019;Khan, 2019;Soviar et al, 2019;Schulz, 2020;Ishigame, 2020;Arsy, 2021). General Motors has been somewhat less analyzed in recent literature.…”

Section: Literature Reviewmentioning

confidence: 99%

Stock Price Prediction of the Largest Automotive Competitors Based on the Monte Carlo Method

Čečević,

Antić,

Jevtić

2023

Economic Themes

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The transition to electric vehicles would be a great improvement for the population. On the other hand, this transition will make a great pressure for companies in the automotive industry, since they would have to develop such vehicles and make them better than traditional ones. Moreover, the transition period can last a long time. In the meantime, fossil fuel car sale rates are still dominant in the world. In this paper, the stock price prediction is made for two of the world’s largest competitors in automotive industry - Toyota and General Motors. The prediction covers one year, based on historical data of stock price trends using Monte Carlo simulation in two possible cases: the first, with 1,000 outcomes, and the second, with 10,000 outcomes. After price simulation, a comparative analysis of the results obtained for these two companies follows. The results show that the greater the number of outcomes specified in the prediction, the greater the variability of the results compared to the variability of historical data. In other words, the transition of General Motors to the leading position is not impossible.

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“…Third, the storage of captured carbon can be utilized to minimize the costs of industrial products such as urea production, inert agent for food packaging, welding systems, fire extinguishers, and its solid form as metal carbamates for profitable use in the building construction (Schilling & Das, 2020). Finally, the reduction in carbon risk promotes more investment in the financial institution through the “market price channel” and “information channels” (Palea & Santhià, 2022), as carbon risk directly impacts government and companies' policies. Moreover, implementing these strategies considering different levels of uncertainty provides insights to the financial investor and decision‐maker in making an appropriate policy for sustainable business.…”

Section: Implications Of the Studymentioning

confidence: 99%

Developing an emission risk control model in coal‐fired power plants for investigating CO₂ reduction strategies for sustainable business development

Kumari

Bera

2022

Bus Strat Env

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The climatic risk consists of financial and environmental risks, predominantly evolutes from carbon dioxide emissions from coal‐fired power plants. We develop a climatic risk control model to investigate the coexistence of renewable energy and the post‐combustion carbon capture technology as CO2 reduction strategies. Additionally, our proposed framework explicitly considers the acceptance of such strategies based on a balance of electricity supply according to demand. This paper adopts an additive fuzzy mixed‐integer optimization approach to model uncertain parameters and determines the optimal solution focusing on business and the environment. Furthermore, we investigate the feasibility of such emission control strategies with scenario analysis that help to execute the country's emission reduction policies. The usefulness of our methodology is demonstrated using data from the coal‐based power sector in the Eastern part of India. Overall, with the proposed model, we can achieve 30% reduction in emission release, which provides strategies to the decision‐maker for investment towards sustainable development.

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The financial impact of carbon risk and mitigation strategies: Insights from the automotive industry

Cited by 31 publications

References 62 publications

RETRACTED ARTICLE: Financial stability influence on climate risk, GHG emission, and green economic recovery of China

RETRACTED ARTICLE: Financial stability influence on climate risk, GHG emission, and green economic recovery of China

Stock Price Prediction of the Largest Automotive Competitors Based on the Monte Carlo Method

Developing an emission risk control model in coal‐fired power plants for investigating CO₂ reduction strategies for sustainable business development

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The financial impact of carbon risk and mitigation strategies: Insights from the automotive industry

Cited by 31 publications

References 62 publications

RETRACTED ARTICLE: Financial stability influence on climate risk, GHG emission, and green economic recovery of China

RETRACTED ARTICLE: Financial stability influence on climate risk, GHG emission, and green economic recovery of China

Stock Price Prediction of the Largest Automotive Competitors Based on the Monte Carlo Method

Developing an emission risk control model in coal‐fired power plants for investigating CO2 reduction strategies for sustainable business development

Contact Info

Product

Resources

About

Developing an emission risk control model in coal‐fired power plants for investigating CO₂ reduction strategies for sustainable business development