The objective of the study is to investigate the impact of female representation on boards and female CEOs on firms’ sustainable performance in the context of an emerging economy. We also introduce the CEO duality as a moderator variable between sustainable firm performance and board gender diversity. For this purpose, the study uses a panel data sample from 2005 to 2020 for non-financial listed firms in Pakistan. We use the firm’s operational self-sufficiency for the sustainable performance of firms. For robustness, the study also uses other accounting-based and market-based proxies. We apply the static (fixed and random effect) and dynamic panel estimation (GMM) techniques to deal with the heterogeneity and dynamic endogeneity issues in panel data estimation. The finding shows a significant positive impact of female directors on board and female CEOs on sustainable performance, whereas CEO duality does not moderate this relationship. Furthermore, we find that CEO duality has a significant negative impact on firms’ sustainable performance, which supports the agency theory hypothesis. The study also controls corporate board level factors, including board size and board independence, and uses leverage, firm size, capital expenditure, and tangible assets as firm-level control. The results also reveal that board size and board independence have a significant positive impact on firms’ sustainable performance. Furthermore, firm size, tangibility, and firm age have a significant positive, whereas leverage and capital expenditure have a negative impact on firms’ sustainable performance. Finally, the study has policy implications for stakeholders.

The digital economy promotes economic development, industrial upgrading, and environmental protection. In this study, we calculated green total factor productivity (GTFP) based on the SBM-DDF model and used the entropy method and principal component analysis to calculate a digital economy index. We used panel data from 282 Chinese cities to measure the driving effect of the digital economy on green total factor productivity. The study results show that the digital economy significantly increases GTFP. We then assessed the heterogeneity of this impact. We also explored the mechanisms by which the digital economy promotes green development and found that the digital economy can indirectly increase industrial production efficiency by promoting innovation in green technologies.

The influence of innovation on the performance of Chinese enterprises still remains inconclusive in the literature of innovation management. The aim of this research therefore is to examine the link between innovation and performance of Chinese enterprises, and explore the influence of sentiment expressed by investors in this relationship. The data for our study are drawn from 3,500 Chinese listed firms, operating within the periods, 2009–2017. Panel autoregressive models (fixed and random effects) are employed in our empirical analyses. We further performed Hausman tests in order to ascertain which of the models is more suitable for our dataset. Results from the analysis show that innovation significantly influences the performance of Chinese enterprises and it is moderated by sentiment expressed by investors. Specifically, it is found that Chinese enterprises tend to be innovative as feedback to sentiment expressed by investors and this consequently results in higher performance.

The digital economy promotes economic development, industrial upgrading, and environmental protection. This article calculates the green total factor productivity (GTFP) based on the SBM-DDF model and uses the entropy method and principal component analysis to calculate the digital economy index. We use panel data from 282 Chinese cities to test the driving effect of the digital economy on green total factor productivity. The study results show that the digital economy significantly increases GTFP, and the heterogeneity of this impact is further explored. We also explored the mechanism of the digital economy in promoting green. The digital economy can indirectly increase industrial production efficiency by promoting innovation in green technologies.

We examine the role of experienced CEO in the CEO succession and their contributions to the performance of focal firms. We utilize the propensity score matching with difference in differences (PSM‐DID) model to evaluate to what extent experienced CEO succession affects the total factor productivity (TFP) growth. Based on the analysis of 1,675 listed manufacturing companies in China, results show that experienced CEO in succession significantly improves firms’ TFP. Our analysis demonstrates that, on average, the event of hiring an experienced CEO succession yields a 3.1% increase in TFP improvement compared with nonsuccession firms. This positive effect can be continued for three years. Furthermore, the heterogeneous effect of experienced CEO succession on TFP is shown between different categories of focal firms (i.e., high‐tech versus low‐tech enterprises).