No abstract

In today’s world, green development has become an important trend, and many countries regard the development of green industry as an important measure to promote economic restructuring. Green development is consistent with sustainable development in ideology. China’s economy is in the stage of high-quality development. As an important foundation for China’s external economic development, the free trade zone can play a good role in promoting its green and high-quality development. Based on the data of 18 free trade zones in China in 2020, this paper explores the green and high-quality development path of the China Pilot Free Trade Zone. Firstly, the green development index is constructed according to the existing research and experience, and then the fuzzy set qualitative comparative analysis method is used to evaluate the green and high-quality development path. The results show that the development of pilot free trade zones is not the result of a single condition but the result of a combination of green policy effectiveness, foreign investment participation, green production growth rate, and other conditions. Combined with the green and high-quality development path, this paper further provides enlightenment for the development of the China Pilot Free Trade Zone.

Production cost and performance depend on the existing resource configuration and optimization, which play a fundamental role in occupying the dominant position in the aggressive market competition for the manufacturing enterprises. The existing resource configuration and optimization is implemented at workshop level of operation activity, and thus, it is of significance in strengthening the management and control at workshop level of operation activity. In this paper, the problem of production scheduling research background is analyzed and discussed. And then, it establishes the mathematic model of the problem to cope with the production scheduling problems with the characteristics of NP-hard via the genetic algorithm. Finally, it verifies the rationality and validity of the model and algorithm through the simulation experiment.

The nontrust behaviors among the automobile supply chain members lead to a trust crisis situation. Under such circumstances, this paper studies the mutual influences of trust, enterprise behavior, and transaction performance on the independent brand automobile supply chain. The business behavior concept which consists of information sharing, joint action, and specific asset investment is proposed. Then, the paper tests the reliability and validity of the collected data through Structural Equation Modeling (SEM). Through empirical test and analysis on mutual relationship among vertical transaction enterprise behaviors, trust, and transaction performance, the vertical transaction enterprise behaviors can be regulated, so as to improve the efficiency of independent brand automobile supply chain.

No abstract