Online reviews are becoming increasingly important for the diffusion of new products. Based on the content of online reviews on JD.com, the study utilizes the Latent Allocation model to identify the critical factors of interest to consumers and categorized them into two categories, namely, product quality and supporting service factors. Thereafter, we use the system generalized method of moments to analyse the dynamic model of the panel data and further study the relationship between online reviews and new product diffusion under the two types of factors. We further investigate how the interaction between the critical metrics of online reviews affects the diffusion of new products. The results indicate that as various factors are considered, online reviews have a significantly different impact on the diffusion of new products. Moreover, compared with supporting service factors, online reviews of product quality factors have a more significant impact. In addition, the interactions between online review metrics demonstrate complex characteristics, especially the volume and positive emotional tendency, which does not promote new product diffusion, as expected.
In recent years, countries around the world are significantly increasing their awareness of environmental protection. With a continuous expansion of economic scale, many emerging markets are also sustainably enhancing their standards for industrial carbon emissions in foreign direct investment (FDI). Therefore, the impact of FDI on the host country's industrial carbon emissions has always been a hot topic of researches by scholars. This paper selects panel data of 30 medium and large cities in China from 2006 to 2019, combined with dynamic panel GMM estimation and panel threshold model, and empirically analyzes the impact factors of FDI on the host country’s industrial carbon emissions from the perspective of dual environmental management systems. This paper draws the following conclusions: When taking the formal and informal environmental management system factors as threshold variables into the empirical research process, only the FDI in Beijing, Tianjin, and Shanghai shows a certain inhibitory effect on Chinese industrial carbon emissions. The FDI in other cities increases the scale of industrial carbon emissions. At the same time, in the formal environmental management system, FDI has no significant impact on Chinese industrial carbon emissions. It indicates that the formal environmental management system of each city is not effective in policy formulation or implementation, and it is not able to play the role of innovative compensation and forced emission reduction of the environmental management system. With the exception of Beijing and Shanghai, informal environmental management systems in other cities help curb the scale of industrial carbon emissions brought about by FDI.
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