A three-dimensionally ordered macroporous (3DOM) Li3V2(PO4)3/C cathode material with small-sized macropores (50-140 nm) is successfully synthesized using a colloidal crystal array. The 3DOM architecture is built up from fully densely sintered Li3V2(PO4)3/C nanocomposite ceramics particles. Such a 3DOM Li3V2(PO4)3/C micrometer sized particle combines the advantages of both Li3V2(PO4)3 nanocrystal and micrometer sized particle. The resultant 3DOM Li3V2(PO4)3/C nanocomposite exhibits a stable and highly reversible discharge capacity up to 151 mA g(-1) at 0.1 C, and an excellent high-rate capability of 132 mA g(-1) at 5 C in the voltage range of 3.0-4.4 V. Compared to the corresponding bulk nanocomposite, the 3DOM Li3V2(PO4)3/C cathode exhibits a significantly improved high-rate performance, which promises new opportunities in the development of high energy and high power lithium-ion batteries.
Prior research of knowledge sharing between firms mainly focuses on enabling factors, such as benefits resulting from knowledge sharing, leading to an overlook at barriers. Guided by transaction cost economics and social exchange theory, our study constructed an evolutional game model to analyse the dynamic evolution process of the firm’s knowledge sharing behaviour in a setting of supply chain networks. Using a simulation in our game model, we firstly reveal how a long-term strategy for supply chain partners towards knowledge sharing is determined through reaching an equilibrium between enabling factors (revenue gained in various forms) and impeding factors (knowledge leakage) in a dynamic process. Secondly, our analysis demonstrates that the competition or rivalry side of the “co-opetition” relationship acts as the major barrier for knowledge sharing due to the sharer’s concern of knowledge leakage. Thirdly, our model has identified knowledge relevancy as the inherent property of knowledge and the firm’ ability of knowledge inference as two important factors influencing knowledge leakage.
Prior research has mainly emphasized the strategic importance of a collaborative green innovation (CGI) between the manufacturer and supplier in a supply chain, leading to an overlook at the decision-making mechanism and determinants of CGI. Guided by the transaction cost economics and social exchange theory, our study constructs a mathematical game model to incorporate the key dimensions of an effective inter-firm collaboration for green innovation. Applying the Nash game bargaining principles, our evolutionary game model analysis provides an analytic system to understand the mechanisms of forming and operating a collaboration partnership between the manufacturer and supplier for green innovation. Based on various scenarios from the numerical simulation parameters for the involved influencing factors, our simulation has produced the Nash equilibrium solutions and identified the major determining factors for successfully forming and operating CGI. They are the trust level between the manufacturer and supplier as the CGI partners, value/profit sharing ratio between the partners, knowledge complementarity of the partners, and product type for the green innovation.
Studying the linkage between manufacturing industry and logistics industry is conducive to explore and improve the efficiency of the common development of them. In order to study the interaction of logistics industry on the development of manufacturing industry and the development of two-industry-linkage, it first calculates the high-quality development level of logistics industry and manufacturing industry, then uses the coupling coordination model to theoretically analyze and empirically test the coupling and coordinated development level of high-quality development of logistics industry and manufacturing industry from three aspects: coupling degree, coordination degree and coupling coordination degree, and based on the perspective of integration field theory, it takes the three basic synthetic fields of logistics integrator, logistics base-nuclear and logistics connection-key as the analysis dimension, PVAR model was introduced for in-depth analysis the impact of logistics industry on manufacturing industry and the level of the two-industry-linkage. It was found that the high-quality development of China’s logistics industry and manufacturing industry is close on the whole, and the development trend is consistent, the high-quality development of them is mainly caused by the change of scale, but there is no obvious change in technical efficiency, which also provides a way for the high-quality development of the two-industry-linkage in the future. The two-industry-linkage mostly belongs to the situation of low-level mutual restriction, which has not yet reached a high level of mutual promotion, resulting in the overall coupling coordination degree basically in a state of barely coordination. The development of logistics industry and manufacturing industry need to go through certain practice and running in, when there is an error matching between the two, the logistics industry will inhibit the two-industry-linkage. When the economy develops to a certain extent, the expansion of the logistics system scale to the level of the two-industry-linkage is not necessarily beneficial, blindly exceeding the demand for logistics investment will cause a waste of resources, which is not conducive to the high-quality development of the logistics industry and the coupling and coordinated development of the two industries. In the long run, the change of the logistics basic-nuclear capacity, the logistics integrator scale and logistics connection-key level will have a positive impact on the change of green total factor productivity in manufacturing industry.
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