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This paper takes the listed pharmaceutical manufacturing firms in China’s A-share market from 2011 to 2017 as the research sample, from the perspective of top managers’ pay gap, employs principal component analysis and general least square method to empirically investigate the effect of risk preference of top management team(TMT) on the re-innovation behavior after the failure of innovation. The study found that the risk preference of TMT is positively correlated with the re-innovation input and brand-new innovation after the failure of innovation, but not with the supplementary innovation. Besides, the pay gap not only has a positive moderating effect on the positive correlation between the risk preference of TMT and the re-innovation input, but also on the positive correlation between the risk preference of TMT and the brand-new innovation after the failure of innovation. The findings of this study contribute to: (1) through empirical research on the impact of TMT risk preference on re-innovation behavior after innovation failure, expand the relevant research content and research methods of TMT and innovation failure to make the research results more convincing; (2) by setting a reasonable executive compensation gap, TMT can avoid blindly choosing brand-new innovation behavior after innovation failure with the increase of risk preference innovation, ignoring the potential value of innovation failure projects without supplementary innovation, improving the re-innovation behavior of TMT after innovation failure and improving the re innovation success rate after innovation failure.

Against the backdrop of regional integration, subregions with border effects have become the bottleneck in securing the sustainable development of cross-border cooperation. Based on the discussion of the subregions and subregional cooperation in China, this article put forward three theoretical hypotheses with eight typical provincial subregions in Central China as examples. Combined with relevant models, variables and data, the study tested the evolutionary mechanism of subregional cooperation. The main conclusions include: (a) internal factors contribute to better provincial subregional cooperation; (b) geographical and institutional arrangements significantly affect subregional cooperation, with the shielding effect being the dominant border effect and (c) spatial heterogeneity of high-tech industries has an inverted U-shaped effect on subregional cooperation.