China has placed significant importance on the development of a circular economy and achievement of sustainable prosperity. It employs multiple fiscal and tax policies to facilitate clean production and improve resource efficiency by fostering corporate green innovation. Policy signalling boosts companies’ external funding, including debt and equity. As such, this research focuses on how government subsidies and tax incentives influence corporate green innovation efficiency, accounting for the mediating roles of debt financing and equity financing. Under the SBM model, we utilise the Luenberger index to quantify green innovation efficiency. In addition, the fixed-effect regression with 19,228 firm-year observations from 3549 firms between 2015 and 2021 is used. Based on empirical findings, government subsidies reduce green innovation efficiency, while tax incentives increase it. In addition, debt financing mediates the association between tax incentives and corporate green innovation efficiency. Furthermore, government subsidies and tax incentives play more significant roles in non-state-owned enterprises (non-SOEs) and for businesses in growing and mature stages than other listed firms. To improve access to external financing and green innovation efficiency, it is suggested that the government implement various government subsidies or tax incentives according to business characteristics, with each company applying policies customised to its specific circumstances.

Job satisfaction among women in Malaysia's private sector has been declining, yet there is limited research on the factors contributing to this trend. This study aims to explore the influence of key factors such as gender stereotypes, mentoring support, and work-life balance on the job satisfaction of women employed across various industries in private sector. A structured questionnaire was developed and administered to a sample of 385 female employees in the service sector. The survey gathered demographic information and measured levels of job satisfaction alongside the perceived impact of the identified factors. The findings of this study shed light on the complex interplay between these factors and job satisfaction, providing a nuanced understanding of the challenges faced by women in the workforce. The results offer practical recommendations for organizations seeking to improve job satisfaction among female employees by promoting workplace policies that support diversity, equity, and inclusivity. This research contributes to the growing body of literature on employment satisfaction in Malaysia’s private sector and offers a basis for future studies to further examine the unique challenges encountered by women in different occupational environments.

The goal of this study is to investigate the impact that online celebrities had and still have on Malaysian customers' intents and purchasing behaviours. The use and gratification theory, the source credibility model and the source attractiveness model are the three theoretical frameworks that form the foundation of this study. These models provide the foundation for this research. 384 respondents who are older than 18 and use social media provided answers to the questionnaire which takes the form of an online survey. SPSS software (Statistical Package for the Social Sciences) was used for the data analysis and regression analysis was chosen as the method to use in order to establish the significance of hypotheses based on the data collected in order to determine whether or not the data collected supported the hypotheses. This study found that in order for social media celebrities to successfully influence consumers' intentions to make a purchase through the internet, they need to demonstrate that they are reliable, appealing and knowledgeable. In the context of Malaysia, these are the characteristics that are particularly important in determining whether or not a customer will make a purchase over the internet.

The Indian automobile industry has experienced substantial growth, driven by rising domestic demand, urbanization, and technological advancements, positioning India as a significant global manufacturing hub. The industry has also embraced the shift towards electric vehicles (EVs), particularly in the two-wheeler and three-wheeler segments, spurred by government initiatives like the Faster Adoption of Manufacturing of Electric Vehicles in India (FAME) and the Production Linked Incentive (PLI) schemes. This study explores the risk-return dynamics of selected publicly listed Indian automobile companies, analyzing their equity performance between 2017 and 2023. By evaluating market, financial, operational, and regulatory risks, the research aims to offer insights into the investment potential of these companies. The study investigates how systematic and unsystematic risks influence investment decisions, with a focus on prominent companies such as Maruti Suzuki, Mahindra & Mahindra, Tata Motors, Hindustan Motors, and Ashok Leyland. Using statistical tools like mean, standard deviation, variance, and beta, the analysis provides a comprehensive understanding of the volatility, return potential, and overall risk profile of the companies. Results suggest a direct correlation between higher risk and higher returns, with Ashok Leyland emerging as a top performer, while Maruti Suzuki demonstrated more stable returns. The study also provides recommendations for investors, emphasizing the importance of diversification and long-term analysis. Despite its limitations, the research contributes valuable insights for investors looking to navigate the evolving Indian automobile sector.