Accelerating the construction of the green supply chain system and improving the efficiency of the green supply chain is the key to promoting the high-quality development of enterprises. In view of this, based on stakeholder theory, higher order theory and expectancy theory, this study focuses on the impact of corporate social responsibility (CSR) on corporate green supply chain efficiency (GSCE) and the moderating role of chief executive officer (CEO) narcissism. A regression analysis of the observed sample reveals that CSR significantly enhances GSCE. Further decomposing CSR into internal CSR and external CSR to reveal the impact of different types of CSR on GSCE, we find that internal CSR fulfillment has a significant positive impact on GSCE, and this relationship is strengthened when CEOs are narcissistic. Furthermore, external CSR has a significant negative impact on GSCE, and this relationship is also strengthened by CEO narcissism. The main contribution of this paper is to study the relationship between CSR and green supply chain efficiency, decompose CSR into internal and external CSR, enrich the research on the intrinsic mechanism of value creation of CSR. It also enriches the research in the context of CSR from the perspective of CEO personality traits, providing new ideas and suggestions for manager selection and corporate greening governance in practice.

This article selects A-share state-owned listed companies in Shanghai and Shenzhen stock exchanges from 2007 to 2018 as samples and uses OLS together with intermediary effect tests to study the impact of state-owned enterprise’ (SOEs) policy burdens on credit resources and their allocation efficiency. The research finds that the heavier the policy burden SOEs assume, the more credit resources they obtained. However, they are also more likely to make inefficient investments after obtaining the credit resources, and these credit resources have a negative effect on the value of the SOEs which bear the policy burden. These negative impacts are more significant in SOEs with low degree of marketization in the region, low level of government control, and low information transparency. The path analysis elaborates that the policy burden of SOEs reduces the efficiency of resource allocation by increasing management agency costs and reducing financing constraints. The conclusions enrich the understanding of the consequences of policy burdens under the background of Chinese system, further broaden the analytical framework of the efficiency of credit resource allocation, and unveil the importance of relevant government departments that can optimize the efficiency of credit resource allocation.