While the construction industry has brought substantial economic benefits to society, it has also generated substantial construction and demolition waste (CDW). Illegal dumping, which refers to dumping CDW in an unauthorized non-filling location, has become widespread in many countries and regions. Illegally dumping CDW destroys the environment, causing groundwater pollution and forest fires and causing significant economic impacts. However, there is a lack of research on the decision-making behaviours and logical rules of the main participants, construction contractors and the government in the illegal CDW dumping process. This paper constructs an evolutionary game model on a small-world network considering government supervision to portray the decision-making behaviours of illegal dumping participants and conducts a numerical simulation based on empirical equations to propose an effective supervision strategy for the government to manage illegal CDW dumping efficiently. It is found that the illegal dumping behaviours of contractors are mainly affected by the intensity of government supervision, the cost of fines and the income of illegal dumping; while for government, a supervision strategy is found to be necessary, and a supervision intensity of approximately 0.7 is the optimal supervision probability given supervision efficiency. Notably, under a low-level supervision probability, increasing the penalty alone does not curb illegal dumping, and a certain degree of supervision must be maintained. The results show that in addition to setting fines for illegal dumping, the government must enforce a certain level of supervision and purify the market environment to steadily reduce illegal dumping.
In the recent two decades, construction and demolition (C&D) waste is becoming a major source of municipal waste which causes severe damage to the environment. To solve the problem, waste recycling measures are gradually used to turn waste into treasures. Meanwhile, several kinds of policies such as waste disposal charging fees have been issued to stimulate stakeholders’ behavior to take waste recycling measures to promote the C&D waste recycling industry. However, the C&D waste recycling rate is still too low in China. In order to promote C&D waste recycling industrial development, this paper aims at introducing subsidy and environmental tax policies to promote C&D waste recycling. Based on system dynamics method, this study establishes a model to determine the proper subsidy and environmental tax range. According to the simulation results, three kinds of incentive policies are obtained, namely, single subsidy policy, single environmental tax, and combined incentive policies. Optimal single subsidy and environmental tax are in the interval, [10, 30] and [20, 60], respectively. The best combination strategy is subsidy = 10 yuan/ton and environmental tax = 20 yuan/ton. The results from this paper could be a foundation for government to establish incentive policies to promote C&D waste recycling.
Water scarcity and pollution have become a global problem, especially in China. Whether China can solve the water resources dilemma is closely related to its ability to achieve high-quality development. At present, studies on China’s water resources policy are relatively few and all of them are theoretical interpretations or regional studies. There is little literature examining the impact of China’s water resources policy on enterprises and its mechanisms. Therefore, this paper takes China’s water resource tax reform in 2017 as a quasi-natural event and constructs a difference-in-differences model to investigate the micro-governance effects of water resource tax reform based on panel data of high water-consuming enterprises listed in Shanghai and Shenzhen A-shares between 2012 and 2020. The findings of the study are as follows. Firstly, the water resource tax reform significantly improves the environmental performance of water-intensive enterprises. Secondly, through the mechanism test the author finds that water resource tax reform can promote the research and development of green invention patents in companies, which in turn improves their environmental performance. However, water resource tax showed no significant effect on green utility model patents. Finally, taking into account heterogeneity, this paper points out that the impact of the reform is more prominent in water-scarce regions and among large-scale enterprises. This paper provides experience and evidence for the promotion of water resource tax reform and inspires the author to give some policy recommendations. In the future, China should continue to implement water resource tax policy and increase technical and financial support to enterprises for green innovation.
In recent two decades, construction and demolition (C&D) waste is becoming a major source for municipal waste which causes serious damage to the environment. To solve the problem, waste recycling measures are gradually used to turn waste into treasures. Meanwhile, several kinds of policies such as waste disposal charging fees have been issued to stimulate stakeholders’ behavior to take waste recycling measures to promote the C&D waste recycling industry. However, the C&D waste recycling rate is still too low in China. In order to promote C&D waste recycling industrial development, this paper is aiming at introducing subsidy and environmental tax policies to promote C&D waste recycling. Based on system dynamics, this study establishes a model to determine the proper subsidy and environmental tax range. According to the simulation results, three kinds of incentive policies are obtained, namely, single subsidy policy, single environmental tax and combined incentive policies. Optimal single subsidy and environmental tax are in the interval [10, 30] and [20, 60], respectively. The best combination strategy is subsidy=10 yuan /ton and environmental tax=20 yuan/ton. The results from this paper could be a foundation for government to establish incentive policies to promote C&D waste recycling.
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