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Abstract The relationship between a company’s Environment, Social and Governance (ESG) scores and market value dynamics has been the focus of extensive research. Our study aimed to provide insights into this relationship and its implications for Chinese investors. We used a general Cross-lagged panel model to analyze data from 652 Chinese-listed companies from 2013 to 2019. Our findings indicate that ESG scores have a long-term impact on market value, with a consistently positive correlation between the two. We also discovered that Chinese investors consider ESG factors when evaluating a company’s financial health. Companies that prioritize ESG factors are more likely to attract investment. Moreover, the diffusion of ESG information happens slowly, and past ESG performance influences future ESG performance. Thus, maintaining good ESG performance is crucial for long-term sustainability and success. In addition, our analysis reveals significant insights into the interplay between ESG metrics and mandatory disclosure regulations. Specifically, we find that the interaction between average ESG score and mandatory disclosure significantly impacts firm value, suggesting a nuanced relationship between ESG performance and market valuation in the context of regulatory requirements. Overall, our study highlights the importance of considering ESG factors when evaluating financial health and making investment decisions, providing valuable insights for firms and investors alike.

Purpose: this study aims to present an innovative approach (Diffusion of Innovation Theory) to investigate the adoption of ChatGPT by business and management students. The theory emphasizes integrating the variables Viz. relative advantage, compatibility, complexity, trialability, observability, attitude, and intention to adopt ChatGPT in the context of management education. Method: ology: a non-probability purposive sample of 383 students enrolled in management of Indian public and private institutions was taken to conduct survey to administer questionnaires. Partial Least Square-Structural Equation Modelling was employed to analyze the data using Smart PLS software. Findings: the findings suggest that students' attitude toward the integration of ChatGPT for educational purposes and knowledge acquisition are overwhelmingly positive. Moreover, relative benefit, compatibility, complexity, trialability, and observability indicate a favorable disposition toward the intention to use ChatGPT among business and management students’ community. Implications: the study asserts significant implications for multiple sectors, including global society, businesses, and academia. The application of the Diffusion of Innovation Theory to the examination of management students' attitude towards ChatGPT provides valuable practical and theoretical insights. Originality: the originality of the study lies in the innovative approach it takes in investigating the utilization of ChatGPT in management education. Hence, the application of the Diffusion of Innovation theory and the inclusion of context-specific characteristics contribute to the uniqueness of the study.

Empirical studies on the effects of China–African economic relations on energy intensity in Africa are scarce. To fill the gap in the literature, this study investigates the technology spillover effects of the China–Africa trade and investment relations on energy intensity. It uses both linear and nonlinear dynamic panel estimation methods for 42 African countries from 2003 to 2015. The results show that China's technology spillover through imports significantly reduces energy intensity in Africa. The findings are consistent across specifications and sample groups. Moreover, the technology spillover coming from foreign direct investment (FDI) improves energy intensity, particularly in lower-middle-income African countries. The dynamic threshold estimation results show that countries' absorptive ability is important for technology spillover effects of FDI and imports on energy intensity. The results suggest that countries' absorptive capacity should be increased to maximize the benefits of trade and investment technology spillovers.