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The goal of this study is to investigate whether Fintech e-payment affects economic development in APEC countries, in particular, income growth, productivity, price volatility, and income inequality. We use e-payment index introduced by RMIT University and TRPC and apply quantile regression with GME approach. We consider the quantile level at 0.25, 0.50, and 0.75. At the low level of economic development variables, the Fintech have the highest effects on these variables compared with the medium and high level of economic development. In other words, Fintech supports not only low level of growth and productivity but also reduce the low level of price volatility and income inequity. Further investigation provides that e-payment usage and technology empowerment are helpful to economic development, particularly, increasing in growth and productivity.

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State-owned enterprises (SOEs) play an important role in China. During the transformation from a planned to a market economy, plenty of Chinese SOEs fell into trouble. Dalian machine tool group (DMTG) who was once a leading enterprise in the Chinese machine tool industry bankrupted in 2017. To explore the causes of its collapse, we employ the interpretative structural model (ISM) to investigate the reasons for its failures from multi-aspect and at different levels. The results indicate that the root cause of this bankruptcy is the top manager’s mismanagement; the lack of a reasonable strategic positioning and long-term product planning are also important factors of DMTG’s failure, and the problems of human resource management accelerated the bankruptcy. Findings provide lessons to be learned from the bankruptcy for SOEs and offer managerial insight into SOEs.

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