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Descriptive Statistics

Descriptive Statistics

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Article
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This study examines the relationship between climate policy uncertainty (CPU), China's environmental impact, social responsibility and corporate governance practices (ESG) leader scores and logistics stocks. China Ocean Shipping Company (COSCO), one of the pioneers in global markets, was chosen to represent the logistics industry. The variables wer...

Contexts in source publication

Context 1
... statistics of the return series are given in Table 2. According to the ERS unit root test, it was determined that each series has a unit root, that is, the null hypothesis was rejected for all series at 1% or 5% significance level. ...
Context 2
... means that each series has time-varying variances and it is appropriate to use the TVP-VAR model in the study. Note: *, ** and *** represent significance level at 1, 5 and 10% respectively Within Table 2, you will find an overview of the descriptive statistics pertaining to the variables utilized in this research. The results show that the variables are not normally distributed and do not include unit root. ...

Citations

... The existing literature can be categorized into three primary areas. The first area examines how economic policy uncertainty (EPU) has a significant impact on China's carbon trading market (Wang et al. 2022;Tao Liu et al. 2023;Liu et al. 2023) The second area focuses on the effects of international climate policy uncertainty, particularly from the United States, on Chinese markets and various sectors (Xin et al., 2022;An et al., 2022;Niu et al., 2023;Zhu et al., 2023;Wang and Li, 2023;Altın et al., 2023;Chen, Zhang, and Weng, 2023;Alqaralleh, 2023;Lv and Li, 2023;Tian, Chen, and Dai, 2024;Iqbal et al., 2024;Zhao and Luo, 2024). Xin et al. (2022) find that high climate policy uncertainty (CPU) reduces current stock market returns and increases volatility in China, but decreases future volatility. ...
... Wang and Li (2023) studies show that CU and CEU can significantly affect the volatility of the CSI 300 ESG index. Altın et al. (2023) show that the volatility of China Ocean Shipping Company (COSCO) is transmitted to the China ESG index and CPU. Chen, Zhang, and Weng (2023) found that CPU has a significant impact on stock market price volatility. ...
Article
Full-text available
This study aims to examine the relationship between CUM, CPU, CU, and UCT with the FTSE China Technology Index (FTXIN410) and SZSE Environmental Protection Index (SZEPI) using ARDL and NARDL methods. To test the robustness of the model, three additional parametric methods are employed: FMOLS, DOLS, and CCR. The technology and environmental protection sectors in China are crucial for the country's sustainable economic future. Understanding the impact of global and local uncertainties on these sectors is critical for predicting sectoral trends and future market dynamics. Climate uncertainties and global uncertainties can impact investors' returns and market behaviors. In critical sectors such as technology and environmental protection, uncertainties need to be closely monitored for their implications on investment decisions and market stability. The results of the study indicate a long-term relationship between China’s climate uncertainties and global uncertainties with technology and environmental protection indices.