This paper investigates the impact of rank-and-file employees on corporate innovation. We show that paying higher relative wages to rank-and-file employees promotes better innovation outcomes in terms of patent quantity and quality. This effect is more significant among firms with large proportions of skilled employees, industries with high levels of R&D intensity, provinces with competitive local labor markets, and non-SOEs. Further analyses reveal that efficiency wages can serve as an underlying economic channel that fosters innovation by retaining and attracting valuable human capital and stimulating their working enthusiasm. Finally, we show that technological innovation is a mechanism through which rank-and-file employees affect productivity growth and thereby affect the economy.

The effects of natural disasters on capital markets have been investigated by limited evidence even though these calamities bring considerable damages or loss of life. To fill this gap, we investigate the impacts of natural disasters, particularly earthquakes, on security analysts' earnings forecasts for affected firms in China. We obtain three key findings. First, analysts' optimism significantly decreases for firms located in neighborhood areas. Second, earthquakes do not significantly affect firm earnings and stock returns, thereby indicating that post-earthquake analyst pessimism is not based on rational judgment. Third, media attention promotes irrational pessimism among analysts, and post-earthquake pessimism is a result of heuristics bias attributable to psychological shocks. However, analysts correct the bias after initial irrational forecasts. Taken together, our findings contribute to the broader psychology and economics literature on the effects of natural disasters on analyst forecasts.