Spatial Dynamics between Firm Sales and Environmental Responsibility: The Mediating Role of Corporate Innovation

Abstract

Corporate environmental responsibility (CER) is increasingly gaining interest among researchers and practitioners. Despite this extensive interest, systematic research regarding the effect of sales on environmental performance remains scarce. In this study, an empirical analysis on a sample of 909 Chinese listed companies from 2010 to 2016 showed that sales positively impact environmental performance. This study also showed that corporate innovation mediates the relationship between sales and environmental performance. Furthermore, this study showed that environmental performance has a positive spatial spillover effect. Enterprises appear to promote their own environmental performance as a response to a rise in the environmental performance of their neighbors. The external control theory of organization has important reference significance and explanatory power for CER behavior in emerging economies.

Determinants of biopharmaceutical R&D expenditures in China: the impact of spatiotemporal context

“…The aforementioned empirical research results show how the spatiotemporal context of the biopharmaceutical industry at the macro level, measured by distance and time, affects the R&D expenditure of biopharmaceutical companies at the micro level. The empirical findings are consistent with the SSP theory, i.e., the spatiotemporal context will affect the behavior of biopharmaceutical companies, including R&D investment (Gu, 2021a(Gu, , 2021b(Gu, , 2020. In other words, this study supports the context-sensitive thesis.…”

High-Speed Rails and City Innovation System: Empirical Evidence from China

“…The analytical framework for understanding the impact mechanism of HSR on city innovation is illustrated in Figure 1. The test of the so-called spatial spillover effect proposed in the abovementioned Hypothesis 2 was realized empirically by means of a spatial lag term [62][63][64]. This analysis framework was constructed using the spatial difference-in-differences method, and its purpose was to handle three different treatment effects that existed at the same time in the process of natural experiments: the treatment effect due to the introduction of HSR, the spillover effect within the treated cities, and the spillover effect on the control cities.…”

“…In other words, in terms of innovation, there is a spatial dependence between cities along the HSR route [21]. These cities interact strategically with each other, rather than independently of each other [62,63]. In evaluating the impact and effect of HSR on urban innovation, it is necessary to include and examine the potential impact of inter-city spatial dependence.…”

Effects of Patent Policy on Outputs and Commercialization of Academic Patents in China: A Spatial Difference-in-Differences Analysis

“…Figure 1 shows a graphical representation of the proposed theoretical model and the research hypotheses to be tested. The empirical test of the spatial spillover effect in Hypothesis 3 and Hypothesis 4 is mainly realized through the significance of the spatial lag term and the sign of the regression coefficient [48][49][50]. This analysis framework is set based on the spatial difference-in-differences model and can handle the following three different treatment effects: treatment effects based on patent incentive policies, spillover effects within the experimental group, and spillover effects on the control group.…”