Does environmental investment pay off?—portfolio analyses of the E in ESG during political conflicts and public health crises

Shen, Jiancheng; Chen, Chen; Liu, Zheng

doi:10.1111/jfir.12357

Cited by 3 publications

(1 citation statement)

References 59 publications

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“…Comparing the results of panel data regression before and after the outbreak, the following conclusions can be drawn [5][6][7]:…”

Section: Methodsmentioning

confidence: 99%

Empirical Study and Reflection on the Impact of COVID-19 Pandemic on Chinese A-share Market--Based on Fama French Five-factor Model

Deng,

Jiang

2023

AEMPS

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The COVID-19 pandemic has caused severe imbalances in the global economy and intensified stock market turmoil worldwide. Based on Fama-French five-factor model, this paper studies Chinas A-share market changes before and after the epidemic. The stocks treated by ST (special treatment) and * ST (delisting warning) are screened, excluding companies and banking stocks with shortlisting time. The equities are finally divided into groups using the two-by-three grouping approach. According to the median of the total market value of stocks, the entire sample is separated into two categories: modest market value (S) and large market value (B). The samples are classified into three categories based on the book-to-market ratio's 30% and 70% quantiles: high (H), medium (N), and low (L). Comparing the different times of the impact of the five factors on stock earnings is conducive to explaining the changes in the factors affecting the stock price of listed companies before and after the epidemic. It is possible to analyze which factors have declined and fluctuated after the epidemic, resulting in a decline in stock prices, a slowdown in the growth of listed companies, or even a recession. The analysis of the five-factor model can clarify which factors have led to the decline in stock prices after the beginning of the epidemic, which is conducive to the formulation of related policies and plans by listed companies and makes up for the decline in stock prices and the slowdown in company growth caused by the corresponding decline, which has apparent practical value.

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“…Comparing the results of panel data regression before and after the outbreak, the following conclusions can be drawn [5][6][7]:…”

Section: Methodsmentioning

confidence: 99%

Empirical Study and Reflection on the Impact of COVID-19 Pandemic on Chinese A-share Market--Based on Fama French Five-factor Model

Deng,

Jiang

2023

AEMPS

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Analysis of Moderation and Co-Moderation Effects on Waste Information Disclosure and Financial Performance Connection: A Way to Ensure Sustainable Business for SMEs

Bogdan,

Popa,

Rus

2024

Eastern European Economics

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Promoting economic stability: the role of renewable energy transition in mitigating global volatility

Yadav

2025

IJESM

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Purpose This study aims to investigate how renewable energy consumption impacts economic risk in volatile economies, with a specific focus on the moderating effects of GDP per capita and trade openness. It further explores the nonlinear relationships between renewable energy consumption and economic risk, highlighting the role of gross domestic product per capita (GDP per capita) and trade openness in moderating these effects. Design/methodology/approach The dynamic panel threshold model (DPTM) is used to analyze data from the World Development Indicators (WDI) 2023 data set. Key variables include renewable energy share, gross domestic product per capita (GDP per capita), economic rent, trade openness and a composite economic volatility index. Quantile regression (QR) ensures robustness across different economic risk levels. Findings Trade openness significantly moderates the relationship between renewable energy consumption and economic risk. In high trade openness economies, renewable energy consumption markedly reduces economic risk. Higher GDP per capita also enhances the stabilizing effects of renewable energy. These findings highlight the importance of integrated economic policies that foster both renewable energy adoption and economic openness for sustainable development. Practical implications The findings offer policymakers insights into promoting economic stability through renewable energy investments. Policies enhancing trade openness and economic growth can significantly amplify the benefits of renewable energy, contributing to sustainable development goals. Social implications The study underscores renewable energy’s potential to foster long-term economic stability and environmental sustainability, ensuring current development does not compromise future needs. Originality/value This study advances the understanding of nonlinear relationships between renewable energy and economic risk, filling a gap in existing literature. It incorporates the moderating roles of GDP per capita and trade openness within a nonlinear framework.

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Does environmental investment pay off?—portfolio analyses of the E in ESG during political conflicts and public health crises

Cited by 3 publications

References 59 publications

Empirical Study and Reflection on the Impact of COVID-19 Pandemic on Chinese A-share Market--Based on Fama French Five-factor Model

Empirical Study and Reflection on the Impact of COVID-19 Pandemic on Chinese A-share Market--Based on Fama French Five-factor Model

Analysis of Moderation and Co-Moderation Effects on Waste Information Disclosure and Financial Performance Connection: A Way to Ensure Sustainable Business for SMEs

Promoting economic stability: the role of renewable energy transition in mitigating global volatility

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