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Mingmiao Yang
School of Economic and Management, Wuhan University, Wuhan 430072, China

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Journal article
Published: 01 January 2020 in International Journal of Environmental Research and Public Health
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China has been actively taking actions to control carbon emissions and promoting development of a carbon market. However, there are many disadvantages in a carbon market, owing to various designs and policies still under trial and implementation. Adopting the multi-agents technique, we constructed a framework about national carbon market to estimate the effect of a different design of policy made on the GDP (Gross Domestic Product) and environment. In particular, national and regional abatement policies were analyzed in our study. The results showed the carbon-trading mechanism can effectively reduce carbon emissions and make a negative impact on GDP. National abatement can neither be too high nor too low for reducing carbon emissions and maintaining economic stability. For different regions, the central region was impacted the most by a carbon trading mechanism, and the east region was the opposite. Moreover, the "sweeping approach" policy should be replaced by a regional "discriminating policy" because the abatement requirement to the western region was low and to the eastern region was relatively high, which is more beneficial to China's regional development.

ACS Style

Junjun Zheng; Mingmiao Yang; Gang Ma; Qian Xu; Yujie He. Multi-Agents-Based Modeling and Simulation for Carbon Permits Trading in China: A Regional Development Perspective. International Journal of Environmental Research and Public Health 2020, 17, 301 .

AMA Style

Junjun Zheng, Mingmiao Yang, Gang Ma, Qian Xu, Yujie He. Multi-Agents-Based Modeling and Simulation for Carbon Permits Trading in China: A Regional Development Perspective. International Journal of Environmental Research and Public Health. 2020; 17 (1):301.

Chicago/Turabian Style

Junjun Zheng; Mingmiao Yang; Gang Ma; Qian Xu; Yujie He. 2020. "Multi-Agents-Based Modeling and Simulation for Carbon Permits Trading in China: A Regional Development Perspective." International Journal of Environmental Research and Public Health 17, no. 1: 301.

Journal article
Published: 11 November 2019 in International Journal of Environmental Research and Public Health
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Public pro-environmental behavior plays a positive role in solving environmental pollution problems. In a real socioeconomic system, because public pro-environmental behavior has characteristics of externality and interactivity, a number of factors, such as external information and the behavior of others, could affect the pro-environmental behavior of individuals who optimize their own strategies by interacting with the outside world; thus, public pro-environmental behavior and social interaction are very closely related. In order to study the impact of social interaction on public pro-environmental behavior and its mechanisms, the authors of this paper conducted an empirical study based on an Ordinary Least Square (OLS) regression model and data from the Chinese General Social Survey (CGSS). The empirical results show that: (1) social interaction has a promoting effect on public environmental protection behavior, and social interaction has a more significant impact on private environmental protection behavior; (2) the public will not only adjust their own environmental protection behavior by directly observing the behavior of others, they will also obtain environmental protection knowledge through social interactions which thus have a positive impact on their behavior. It is of great practical significance to study the impact of social interactions on public pro-environmental behavior.

ACS Style

Junjun Zheng; Mingmiao Yang; Mingyuan Xu; Cheng Zhao; Cong Shao. An Empirical Study of the Impact of Social Interaction on Public Pro-Environmental Behavior. International Journal of Environmental Research and Public Health 2019, 16, 4405 .

AMA Style

Junjun Zheng, Mingmiao Yang, Mingyuan Xu, Cheng Zhao, Cong Shao. An Empirical Study of the Impact of Social Interaction on Public Pro-Environmental Behavior. International Journal of Environmental Research and Public Health. 2019; 16 (22):4405.

Chicago/Turabian Style

Junjun Zheng; Mingmiao Yang; Mingyuan Xu; Cheng Zhao; Cong Shao. 2019. "An Empirical Study of the Impact of Social Interaction on Public Pro-Environmental Behavior." International Journal of Environmental Research and Public Health 16, no. 22: 4405.

Journal article
Published: 11 September 2019 in International Journal of Environmental Research and Public Health
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In real life, garbage has caused great pollution to the environment. A garbage classification system is an effective way to manage this issue, and is an innovation in Shanghai, China. Innovation diffusion is the topic of this paper. This study uses a mathematical statistics method to formulate individual bounded rationality, and uses the specific graph structure of a scale-free network to characterize group structure. Then, a model of group behavior is constructed and the simulation experiment is run on the Python platform. The results show that: (1) In the case of general cognitive ability and high value innovation, most individuals in the group will accept the innovation in the process of innovation dissemination in a garbage classification system after several rounds of the game; (2) it is more helpful to improve the cognitive ability of individuals and the true value of innovation for the diffusion of innovation; and (3) the larger a group, the greater the scope of innovation diffusion and the more time is needed. It is helpful to expand the scope and reduce the time of innovation diffusion by increasing connections among individuals. The innovation of this study is the characterization of individual bounded rationality, which has a certain theoretical value. Meanwhile, the research results of this paper have important practical significance for the promotion of garbage classification, which can be used to popularize the concept of garbage classification.

ACS Style

Junjun Zheng; Mingyuan Xu; Ming Cai; Zhichao Wang; Mingmiao Yang. Modeling Group Behavior to Study Innovation Diffusion Based on Cognition and Network: An Analysis for Garbage Classification System in Shanghai, China. International Journal of Environmental Research and Public Health 2019, 16, 3349 .

AMA Style

Junjun Zheng, Mingyuan Xu, Ming Cai, Zhichao Wang, Mingmiao Yang. Modeling Group Behavior to Study Innovation Diffusion Based on Cognition and Network: An Analysis for Garbage Classification System in Shanghai, China. International Journal of Environmental Research and Public Health. 2019; 16 (18):3349.

Chicago/Turabian Style

Junjun Zheng; Mingyuan Xu; Ming Cai; Zhichao Wang; Mingmiao Yang. 2019. "Modeling Group Behavior to Study Innovation Diffusion Based on Cognition and Network: An Analysis for Garbage Classification System in Shanghai, China." International Journal of Environmental Research and Public Health 16, no. 18: 3349.