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This paper aims to examine the effect of dividend regulation on cost stickiness (i.e. the asymmetric change in firm expense between sales increase and sales decrease) and explore the underlying mechanism.

Based on the quasi-natural experiment of the Guideline for Dividend Policy of Listed Companies issued by the Shanghai Stock Exchange (SSE) in 2013, the authors employ a difference-in-difference model to investigate the impact of dividend regulation on cost stickiness.

The authors find that the cost stickiness of treatment group firms has decreased significantly when compared with control group firms after the dividend regulation. Moreover, this effect is more pronounced among firms in lower marketization regions, in lower competition industries and those with less analyst coverage and lower cash flow levels. Further analyses show that dividend regulation reduces the cost stickiness of firms by mitigating agency problems. Finally, the conclusion holds after several robust tests, including controlling for firm fixed effect, propensity score matching (PSM), placebo test and reconstruction of expense variable.

This paper confirms that dividend regulation serves an important role in corporate governance, which reduces firms' agency costs and thereby decreases cost stickiness. The conclusions shed light on the dividend policies of listed companies and capital market regulation in the future.

This study explores the characteristics of high-speed rail (HSR) and air transportation networks in China based on the weighted complex network approach. Previous related studies have largely implemented unweighted (binary) network analysis, or have constructed a weighted network, limited by unweighted centrality measures. This study applies weighted centrality measures (mean association [MA], triangle betweenness centrality [TBC], and weighted harmonic centrality [WHC]) to represent traffic dynamics in HSR and air transportation weighted networks, where nodes represent cities and links represent passenger traffic. The spatial distribution of centrality results is visualized by using ArcGIS 10.2. Moreover, we analyze the network robustness of HSR, air transportation, and multimodal networks by measuring weighted efficiency (WE) subjected to the highest weighted centrality node attacks. In the HSR network, centrality results show that cities with a higher MA are concentrated in the Yangtze River Delta and the Pearl River Delta; cities with a higher TBC are mostly provincial capitals or regional centers; and cities with a higher WHC are grouped in eastern and central regions. Furthermore, spatial differentiation of centrality results is found between HSR and air transportation networks. There is a little bit of difference in eastern cities; cities in the central region have complementary roles in HSR and air transportation networks, but air transport is still dominant in western cities. The robustness analysis results show that the multimodal network, which includes both airports and high-speed rail stations, has the best connectivity and shows robustness.

Although buying firms increasingly adopt supplier development to help suppliers enhance their ability to deal with environmental issues, little is known about the mechanisms by which buyer-led environmental supplier development (ESD) affects the environmental management capabilities (EMC) of suppliers. Focusing on the supplier perspective and specifically on the role of psychological mechanisms at the supplier level, the authors adopt the stimulus–organism–response framework from functionalist psychology to investigate the mediating role of environment-related supplier perceived relationship value in the association between ESD, in the form of environmental requirements and audits (indirect development – ID) vs. direct development projects (direct development – DD), and supplier EMC.

The authors used structural equation modeling and regression analysis to test the hypotheses using survey data from 221 supplying organizations in China.

Results reveal that each of the three considered dimensions of the environment-related supplier perceived relationship value (i.e. economic, strategic and co-creation) helps enhance EMC. However, while DD influences positively all three dimensions, ID has a positive effect on only the economic and strategic dimensions. Moreover, the mediation analysis suggests that, while DD affects EMC both directly and via the three dimensions of environment-related supplier perceived relationship value (partial mediation), ID affects EMC only through its impact on environment-related supplier perceived relationship economic and strategic value (full mediation).

The study sheds light on the psychological mechanisms that drive suppliers’ involvement in green supplier development activities. By doing so, it contributes to the understanding of ESD practices and processes and their effectiveness.