Suchergebnisse

Carbon offset policies are an effective means of coordinating regional ecological conservation, promoting environmentally friendly economic development, and achieving carbon neutrality; they are being gradually implemented in all regions of China. This study analyzed the decision-making behavior of local governments before and after the introduction of incentive and restraint mechanisms. To this end, it constructed a dynamic evolutionary game model for local governments with a carbon surplus and those with a carbon deficit. The results indicate that it is difficult to implement carbon offset policies between regions without the intervention of the central government. They also show that the effects of different incentive and restraint mechanisms vary significantly. Specifically, a mechanism that targets both carbon surplus and carbon deficit local governments and a unilateral mechanism that targets only carbon deficit local governments are shown to be effective. Finally, the results indicate that the implementation costs of incentive and restraint mechanisms differ, and their implementation intensity affects the time required for carbon offset policies to be rolled out in all regions. Based on these findings, we propose policy recommendations for promoting the implementation of carbon offset policies in all regions of China and alleviating carbon emission pressure.

By analyzing the recorded operation data of a nuclear power plant (NPP), its results can serve the fault detection or operation experience feedback. Data missing exists in the recorded operation data. It may lower the data quality and affect the accuracy of the analysis results. In order to improve the data quality, two parts of researches are carried on. Firstly, to locate the missing data accurately the detecting algorithm for missing data of the NPP operation parameters based on wavelet analysis. Different judging basis is proposed for discrete and continuous missing respectively. Then, the filling method based on the hot deck algorithm are studied. As the dynamic properties of the parameters are closely related to the operating state of NPP, the similarity of the operation parameter vectors are formed to express the similarity of the operating states, so as to fulfill the requirements of the hot deck algorithm. To improve the accuracy of the measuring results, taken the differences between the characteristics of the analog parameters and the switch parameters into consideration, the similarity measurements using Mahalanobis distance for the analog parameter vectors and the matching measure for the switch parameter vectors are studied respectively. Finally, the operation data is taken to build the experiment data set for the algorithm verification. The results shows that the designed algorithm performs much better than the mean interpolation method and LSTM.

Background: The sharing and utilization of online users' information has become an important resource for governments to manage COVID-19; however, it also involves the risk of leakage of users' personal information. Online users' sharing decisions regarding personal information and the government's COVID-19 prevention and control decisions influence each other and jointly determine the efficiency of COVID-19 control and prevention. Method: Using the evolutionary game models, this paper examines the behavioral patterns of online users and governments with regard to the sharing and disclosure of COVID-19 information for its prevention and control. Results: This paper deduce the reasons and solutions underlying the contradiction between the privacy risks faced by online users in sharing information and COVID-19 prevention and control efforts. The inconsistency between individual and collective rationality is the root cause of the inefficiency of COVID-19 prevention and control. Conclusions: The reconciliation of privacy protection with COVID-19 prevention and control efficiency can be achieved by providing guidance and incentives to modulate internet users' behavioral expectations.