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When the environmental performance is below the aspiration, will firms make substantive changes? In order to answer this question, based on the behavioral theory of the firm, this paper examines the impact of negative environmental performance feedback on substantive green innovation (GI) and its influencing mechanism. It is found that the negative environmental performance feedback induces substantive GI, which is positively moderated by external regulations (i.e., government environmental regulation and public environmental concern) and internal incentive (i.e., executive equity incentive). Media pressure and risk preference act as mediators in the above promotion effect. Heterogeneity analysis shows that the above promotion effect as well as the moderating effects of external regulations are more pronounced in private firms, while the moderating effect of internal incentive is more pronounced in state‐owned firms. Furthermore, the above promotion and moderating effects are more pronounced after the ESG rating event of SynTao Green Finance Agency. This paper offers new sights into understanding the motives of substantive GI and policy suggestion for promoting firms to achieve sustainable development. [ABSTRACT FROM AUTHOR]

Digital transformation has become a wave sweeping across the globe, affecting all industries with unprecedented speed and breadth, and it is urgent to introduce digital transformation into the corporate social responsibility (CSR) field. This study aims to investigate the impact of digital transformation on CSR performance and its influencing mechanism. The findings are as follows: (1) digital transformation can improve CSR performance; (2) from the dual perspective of internal drive and external governance, we figure out that digital transformation improves CSR performance by improving green management innovation and analyst coverage; (3) further analysis shows that the impact of digital transformation on CSR performance differs under different resource endowments and institutional environments (i.e., formal and informal institutions). Specifically, this promoting effect is only reflected incorporates more resources (i.e., human resources, cultural resources, employment resources, and economic resources), with strong environmental enforcement or high media attention. In the context of digital transformation, this study enriches the mechanism of improving CSR performance and is of great practical significance for corporates, markets, governments and other stakeholders. Meanwhile, the findings of this study are of practical guidance for promoting corporates to fulfill their social responsibility and achieve sustainable development goals in the digital era. [ABSTRACT FROM AUTHOR]

Background: The Dynamic Modified Stochastic p-Median Problem (DMS-p-MP) is an important problem in supply chain network design, as it deals with the optimal location of facilities and the allocation of demand in a dynamic and uncertain environment. Methods: In this research paper, we propose a mixed-integer linear formulation for the DMS-p-MP, which captures the key features of the problem and allows for efficient solution methods. The DMS-p-MP adds two key features to the classical problem: (1) it considers the dynamic nature of the problem, where the demand is uncertain and changes over time, and (2) it allows for the modification of the facility locations over time, subject to a fixed number of modifications. The proposed model uses robust optimization in order to address the uncertainty of demand by allowing for the optimization of solutions that are not overly sensitive to small changes in the data or parameters. To manage the computational challenges presented by large-scale DMS-p-MP networks, a Lagrangian relaxation (LR) algorithm is employed. Results: Our computational study in a real-life case study demonstrates the effectiveness of the proposed formulation in solving the DMS p-Median Problem. The results show that the number of opened and closed buildings remains unchanged as the time horizon increases due to the periodic nature of our demand. Conclusions: This formulation can be applied to real-world problems, providing decision-makers with an effective tool to optimize their supply chain network design in a dynamic and uncertain environment. [ABSTRACT FROM AUTHOR]

Greenwashing is an obstacle to the sustainable development of society, but the current governance of greenwashing is still a "common" governance, not a "collaborative" governance. Accordingly, this study focuses on the three stakeholders of greenwashing governance: company, media and government. Using a sample of listed companies that have published social responsibility reports from 2014 to 2018, this study analyzes the influence mechanism of media reports on greenwashing and discusses the moderating role of government regulation and mediating role of internal supervision. This study finds that internal supervision plays a hiding role in the process of media reports reducing greenwashing, but government regulation has a weakening effect on this hiding effect, showing a "common" governance. Simultaneously, this "common" governance is heterogeneous across time (i.e., corporate life cycle), space (i.e., spatial spillovers) and environment (i.e., the uncertainty of corporate external policies). However, when the cooperation between the government and the media is strengthened, the hiding behavior of the companies is suppressed and the performance of greenwashing governance is improved, so that "collaborative" governance is achieved. Against this backdrop, this study provides a macro‐to‐micro governance policy framework for corporate greenwashing from the four dimensions of strategy, systems, tools, and information to achieve "collaborative" governance. This study enriches the research on the corporate greenwashing governance and has practical implications for the government, media and other stakeholders. [ABSTRACT FROM AUTHOR]