We, the authors, have requested that the title paper [1] is retracted [...]

This research aims to examine the relationship between corporate social responsibility (CSR), firm environmental performance (FEP), and firm financial performance (FFP), as well as how green technology innovation performs a mediating role in this relationship. The manufacturing firms listed on the Shenzhen Stock Exchanges were selected as the representative sample for the study, and data were gathered from 470 managers and directors of manufacturing firms using a simple random sampling technique. The response rate was 87%. For hypothesis testing, PLS-SEM was used. In addition, green technology innovation is a positive and significant mediator between corporate social responsibility and firm financial and environmental performance. This research provides useful implications for manufacturing firms’ managers, directors, and policymakers to improve corporate social responsibility (CSR) and green technology innovation in measuring the firm’s financial and environmental performance. The results also have several practical implications that may benefit the management of firms. They urge all of the organization’s stakeholders to consider investing in organizational social behavior and green innovation to enhance the manufacturing firms’ overall performance.

Sensitivity analysis is widely applied in financial risk management and engineering; it describes the variations brought by the changes of parameters. Since the integration by parts technique for Markov chains is well developed in recent years, in this paper we apply it for computation of sensitivity and show the closed-form expressions for two commonly-used time-continuous Markovian models. By comparison, we conclude that our approach outperforms the existing technique of computing sensitivity on Markovian models.

The role of finance in environmental sustainability is becoming increasingly important. This study conducts a quasi-natural experiment using a sample of 146 prefecture-level cities from 2015 to 2019. It adopts difference-in-differences to examine the impact of China’s green finance reform and innovations pilot zones (GFRIs) on urban air quality. The findings show that air quality has improved after the establishment of GFRIs, indicating that GFRIs have the potential to control air pollution levels. The mechanism tests indicate that the GFRIs are conducive to improving air quality through industrial structure upgrading and green innovation. Furthermore, the heterogeneity analyses show that the air quality in the south of the Qinling Mountains-Huaihe River line, in large and well-developed financially scaled cities, has improved significantly after the establishment of GFRIs.