Corporate social responsibility (CSR) in the supply chain has become an increasingly popular research topic, but there are little researches on developing countries or emerging market economies as the research object, let alone providing a framework for assessing CSR in sustainable supply chains in the context of these countries. This paper will make up for these literature gaps. From the perspective of the green supply chain management, this paper integrates various authoritative standards and adopts two methods, “R clustering” and “variation coefficient analysis”, to establish a CSR performance evaluation system of China’s transportation industry. Applying the mean square error index weighting method analyzes the performance of 74 companies in China’s transportation industry in 2018 to verify the rationality of the evaluation system. The results find that this industry generally scores low and the performance of responsibilities of different sub-sectors in this industry is different, but the overall performance trend is improving. This research has implications for China’s transportation industry to improve CSR levels from the perspective of green supply chain management, for managers and stakeholders who are committed to improving China’s CSR green and sustainable development, and for the development of CSR in developing countries and emerging markets.

This study explored how corporate social responsibility (CSR) risk, social networks, and firm performance interacted in light of resource dependence theory and information asymmetry theory to bridge the literature gap between CSR risk and firm performance under the conditions of China’s network. We used data from Shanghai and Shenzhen A-share listed firms in China from 2010 to 2019 to conduct a social network analysis and random-effects GLS regression analysis. The study revealed the following: (1) CSR risk hurts financial performance, while structural holes and network density attenuate this effect; (2) CSR risk positively impacts capital performance, which is amplified by closeness centrality; (3) CSR risk harms innovation performance, while betweenness centrality and network density mitigate this effect. Despite CSR risk bringing short-term benefits, this effect is not sustained. Generally, CSR risks are more detrimental to firms than beneficial. In this study, we strengthen the basis of the research on CSR risk and firm performance, along with research on social networks, advising firms to avoid CSR risks and utilize their networks to mitigate such risks and achieve a better performance.

Ports are big emitters of carbon emissions and often spend a lot of money and time on carbon emission reduction. Therefore, this paper constructs a port carbon emission reduction investment decision-making model under the uncertainty of carbon emission amount and carbon trading price, which taking the minimization of carbon emission reduction comprehensive cost as the optimization objective including some key factors such as the budget constraint of port carbon emission investment, carbon emission quota, and so on. At last, the case study of Shanghai port is carried out, and the optimization results show that Shanghai port should invest 3.10 Yi yuan in 2019 for carbon emission reduction. It is useful for the port carbon emission reduction managers and policy makers.

Based on the definition of rational and irrational charitable donations by enterprises, this article attempts to further clarify the micro mechanism by which agent conflicts lead to irrational donations by enterprises. This article starts from the perspective of the second type of proxy conflict) and examines the complete mechanism of proxy conflict affecting irrational donations by enterprises. Starting from specific mechanisms of corporate governance such as institutional shareholding and independent directors, it examines its governance effect on non ideal donations by enterprises. Thus providing management inspiration for suppressing irrational donation behavior of enterprises.