In order to achieve economic growth without destroying the environment and consuming resources, it is necessary to reasonably predict the development trend of circular economy. The evolution path of circular economy in the coastal regions was analysed based on the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) method. The dynamic investigation was carried out through the variations of moving trajectory of model space points in a certain period of time, the evolution path of circular economy development in coastal regions was numerically simulated to conclude the evolution law of sustainable growth path in coastal regions, and the future development trend of coastal regional circular economy was predicted. Finally, the composite indicator is synthesized accordingly as an example to quantify the development of the Center of around Bohai Sea Economic Rim (BER). On the basis of introducing the basic situation of BER as well as its circular economy development status, comprehensive economic performance dataset of BER from 2005 to 2018 is used with specified TOPSIS method to improve the accuracy of evaluation. In addition, on the basis of the rule, the future development direction of the circular economy of the BER was predicted, and the policy suggestions were put forward in view of the development status and problems of circular economy.

Exploring the joint effects factors affecting high-technology industries' performance is crucial to enhancing the country's overall strength. However, maintaining high industry performance levels has always been a complex issue. The literature mainly focuses on the net effects of single factors. In that case, the authors put forward a configurational framework that is the performance of high-tech industries, and does not depend on a single condition. Based on a fuzzy-set qualitative comparative analysis of high-tech industry performance across Chinese provinces, the authors identify eight conditions affecting industry performance under four latitudes – economic environment, scientific research, technological progress, and government support. The results show that high and non-high levels of performance can be achieved through the different configurations of antecedents. Both economic development and science and technology inputs play an irreplaceable role in industrial performance.