With economic development and societal progress, the supply chain should not only focus on profitability, but also environmental protection, as well as undertake corresponding corporate social responsibility (CSR). The operational decisions of the closed-loop supply chain (CLSC) in the power battery industry should rather consider the impact of CSR. Thus, this paper studies the optimal recycling channel selection and coordination of CLSC in the power battery industry under the consideration of CSR efforts and uncertain demand. By considering the CSR efforts taken by the manufacturer, decentralized and coordination decision-making models under different recycling modes (including manufacturer recycling, retailer recycling and third-party recycling) are constructed to analyze the optimal decision of CLSC. After that, the models were validated through numerical and sensitivity analysis, followed by discussion and management insights. It is found that when consumers are sensitive to the level of CSR effort, CSR effort has a positive impact on the profits of participants in CLSC. Additionally, the coordination decision-making model always outperforms the decentralized decision-making model under the same recycling mode, so reasonable profit-sharing contracts are developed to ensure the implementation of coordination decision-making. Moreover, transfer price plays different roles in different decision situations and recycling modes, while recycling cost is critical to the overall profit of the supply chain and influences the choice of recycling channel.

Energy usage strongly supports economic growth while also resulting in serious environmental problems. How to effectively use energy to achieve economic growth on the premise of environmental friendliness is an important topic on which to focus in the new century. China is the largest developing country in the world in terms of population. Its subtropical population is close to one half of its total population. The subtropical region is representative of China’s regions with delayed economic development. However, the region has a small share of energy resources, including coal, oil, and gas. At the same time, the rapid economic growth of the region in the past three decades has deviated from the theory of resource endowment. Therefore, it is necessary to study the relationship among energy consumption, environmental pollution, and economic growth in China’s subtropical regions. The study should be conducive to healthy economic development in China and in the world as a whole. This article calculates the degree of correlation among energy consumption, environmental pollution, and economic growth by means of a gray correlation analysis. The results show that energy consumption drives the development of the economy and causes environmental pollution. Environmental pollution also has negative effects on economic development. With regard to reconciling energy consumption, environmental pollution, and economic growth, technology can be used to improve energy use efficiency and reduce pollutant emissions. Energy consumption structure should be optimized to achieve clean, high-quality energy consumption. Policies should be established to encourage green production, and laws should be enacted to support these policies.

Emergency logistics is one of the important measures to solve the unconventional sudden disaster. The research on the distribution design of emergency logistics project has an important supporting role for the whole emergency rescue system. Therefore, it is necessary to analyze and plan the emergency logistics project scientifically in order to better serve the emergency rescue system. In view of the defect that the current emergency logistics model cannot completely describe the whole emergency logistics process, this paper proposes a new emergency logistics distribution model by using GERT random network. From the perspective of system, this model fully considers the possible situation in the process of emergency material transportation and puts forward the corresponding countermeasures, so as to improve the transportation efficiency of rescue materials in the actual disaster relief activities to speed up disaster relief. Based on the properties of moment generating function and the calculation method of Mason formula, this paper fully considers the success probability, risk probability, delivery time, and other factors of the distribution route and puts forward the transshipment scheme of each logistics site to the disaster sites. After that, the effectiveness of GERT stochastic network in the process of emergency distribution is verified by an example of a logistics distribution route, which provides decision-making basis for relevant departments. Compared with the literature, this paper uses GERT network model to intuitively and clearly express the overall process of emergency material distribution, breaks through the thinking mode of simply choosing the distribution path in the distribution process, combines with the dynamic changes of the distribution environment, and comprehensively considers the timeliness and traffic capacity of emergency material distribution in sudden disasters, so as to provide reference for emergency management in complex and random situations for decision-making reference.

Today, the global economy presents a leaping economic network centered on coastal areas. Relying on the ocean has become a very important economic development path for many countries and regions. To coordinate and solve the contradiction between the economic development of Hainan Island and the protection of marine ecological environment, this study, based on the matter-element extension evaluation model, examines the marine ecology of Hainan Island considering the construction of a free trade port. This study uses the extension set theory to describe the advantages of the intermediate state and dynamic trend of the transformation of the assessment object to a certain level, to improve the assessment accuracy of marine ecological carrying capacity. The results show that the marine ecological carrying capacity of Hainan Island in 2016 to 2018 is relatively stable, at the transformation grade of N₃, indicating that the marine ecology of Hainan Island is in a medium bearing, sub health state. Focusing on protecting marine ecology, developing a modern service industry, and developing high-tech industry can be effective in improving the ecological carrying capacity of Hainan Island.