The Nonlinear Relationship Between Firm Size and Growth in the Automotive Industry

Albulescu, Claudiu Tiberiu; Tămăşilă, Matei; Tăucean, Ilie Mihai

doi:10.1007/s10842-021-00364-6

Cited by 5 publications

(2 citation statements)

References 43 publications

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“…SIZE has a negative but insignificant impact on FC. On the contrary, using a panel quantile regression, Albulescu et al (2021) documented a positive impact of firm size on firm growth in the Romanian automotive industry. The impact of GDP is not significant at the 5% level.…”

Section: Resultsmentioning

confidence: 89%

Is Too Much a Good Thing? The Non-Linear Relationship Between Intellectual Capital and Financial Competitiveness in the Chinese Automotive Industry

Xie

2022

Journal of Business Economics and Management

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As one of the five largest industries in China, the automotive industry may well become a prosperous market of production and a large consumer market, but with the 2019 novel coronavirus (COVID-19) outbreak, automotive companies have suffered great losses. How to maintain financial competitiveness (FC) through innovation and knowledge after this calamity has become an area of focus for researchers and practitioners. By analyzing listed Chinese automotive companies over the period 2013–2018, the research focus is to determine the non-linear effect of intellectual capital (IC) on FC. IC is measured by the modified Value Added Intellectual Coefficient (MVAIC) model, and FC is measured through a comprehensive index system. The results reveal a cubic relationship between IC and FC. In addition, physical, innovation, and relational capitals have an S-shaped relationship with FC, whereas human capital has an inverted S-shaped curve. The non-linear effect of SC on FC is not significant. It is recommended that managers optimize investment in IC to drive FC in organizations.

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Section: Resultsmentioning

confidence: 89%

Is Too Much a Good Thing? The Non-Linear Relationship Between Intellectual Capital and Financial Competitiveness in the Chinese Automotive Industry

Xie

2022

Journal of Business Economics and Management

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“…Literature also offers studies of trends in the automotive industry globally or in individual economies (Truett & Truett, 2007;Salihoglu & Salihoglu, 2016;Saidani et al, 2018;Russo-Spena et al, 2018;Masondo, 2018;Albulescu et al, 2021).…”

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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The asymmetric effect of environmental policy stringency on CO2 emissions in OECD countries

Albulescu

Boatcă-Barabaș

Albulescu

2022

Environ Sci Pollut Res

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This paper uses a quantile fixed-effect panel data approach to investigate how environmental policy stringency affects CO2 emissions in a set of 32 OECD countries from 1990 to 2015. This approach allows us to identify the asymmetric impact of policy stringency on emissions, considering the emission level recorded in each analysed country. More precisely, we posit that the effectiveness of environmental regulations and policies is influenced by the air pollution level. Our results show that an increase in policy stringency has a negative impact on emissions. As a new contribution, we show that environmental stringency has a more powerful impact in the countries with lower level of carbon emissions. This result is also recorded for the subset of EU member countries of the OECD. Moreover, we show that policy stringency measures only become effective after the implementation of the Kyoto agreement.Finally, the policy stringency effect is stronger for EU countries at high risk of missing the 20-20-20 target in terms of greenhouse gas emissions.

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The Nonlinear Relationship Between Firm Size and Growth in the Automotive Industry

Cited by 5 publications

References 43 publications

Is Too Much a Good Thing? The Non-Linear Relationship Between Intellectual Capital and Financial Competitiveness in the Chinese Automotive Industry

Is Too Much a Good Thing? The Non-Linear Relationship Between Intellectual Capital and Financial Competitiveness in the Chinese Automotive Industry

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

The asymmetric effect of environmental policy stringency on CO2 emissions in OECD countries

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