Yaduo Hu

With people’s increasing awareness of the dangers of climate warming, the cap-and-trade scheme in supply chain has been gradually implemented worldwide. However, many companies have not engaged in carbon emission reduction, and the market is under asymmetric competition. In this context, this article focuses on the asymmetric competition between manufacturers under the cap-and-trade regulation and compares different retail modes. At the same time, four models are constructed from two different perspectives: the short-term game and the long-term repeated game. The results show that the manufacturer’s optimal price increases with the commission coefficient when the carbon gap is significant in the short-term game, while the carbon emission reduction decreases with the coefficient. And the profits of the manufacturer who contributes to carbon emission reduction are more sensitive to changes in the commission coefficient. Under the reselling mode, the retailer’s participation in pricing will intensify supply chain competition. When the carbon gap is significant, carbon emission reduction will decrease with the increasing carbon trading price. By comparison, the carbon emission reduction level under the reselling mode is higher when the carbon gap is significant; when the commission coefficient is moderate, the retailer in the agency mode has higher profits. In the long-term game, the system is more likely to be in chaos when the manufacturer’s adjustment speed is too high.

A good living environment is the foundation of sustainable housing. Exploring the external influence of environmental factors on housing prices is one of the key issues in the field of real estate research; however, the current study of the urban water landscape on the spillover effect of housing prices is not sufficient. Taking the Zhengzhou residential market as an example, this paper analyzes the effect of an urban water system on residential prices by constructing the traditional Hedonic price model, spatial lag model (SLM) and geographically weighted regression model (GWR) by selecting the main water system and 678 points of residential data in the main urban area. The results show that the accessibility of rivers and lakes and the width and water quality of rivers have a significant effect on residential prices, and the impact of lakes is greater than that of rivers. The spatial heterogeneity of the water system effect is further revealed by adopting spatial lag model and geographically weighted regression model, and the effect of the water system is gradually reduced from the eastern urban area to the western urban area. The results of this study are of great practical significance to the government’s municipal planning, water environment management and housing market management.