Mechanism For The Impact Of Self-organizing Network Structures On Carbon Emission

As the world’s largest emitter of greenhouse gases(GHGs),China is under tremendous pressure to address climate change.In September 2020,President Xi Jinping announced to the international community that China would increase its nationally determined contribution,proposing a "double carbon" goal of peaking carbon and carbon neutrality.To this end,China has adopted a series of policy measures to mobilize all social forces to participate in the governance practice of carbon reduction and emission reduction.In the process,policy actors in the field of carbon emissions are gradually connected to form a self-organizing policy network,which together have an impact on China’s carbon emissions.However,in such a network of selforganizing policies,how do the interactions between the various actors and the structural characteristics of the network affect carbon emissions? What is the impact mechanism?Answering these questions is of great reference value for promoting the realization of China’s "double carbon" goal at the level of network governance,and is of great significance to the sustainable development of the Chinese nation and the construction of a community with a shared future for mankind.In order to explore the influence mechanism of network relationship structure on carbon emissions,this paper points out the problem of cooperation between policy actors and the coordination of interests in network governance on the basis of the theory of policy network governance,so as to put forward basic research assumptions and construct an analysis model of carbon emission impact mechanism.This model analyzes the influence of the corresponding network structure on the effectiveness of policy network governance based on the cooperation mechanism and trust mechanism in the network.The study collects samples of self-organizing policy networks in the field of carbon emissions in 30 provinces and cities in China through hyperlink data,combines the structural indicators in the social network analysis method to empirically analyze the model,and uses quantitative regression analysis methods to verify the research hypothesis and analyze the impact mechanism.The study concludes that(1)network structures that promote information sharing and coordination are critical to reducing carbon emission levels;(2)closely linked network structures may lead to failure of network governance when common goals are unclear and lack normative guidance;and(3)cohesive group structures can improve network governance by promoting trust.Based on the theory of policy networks,this paper pays attention to the cooperation and coordination problems of actors in network governance,and enriches the analytical framework of policy network governance.Secondly,the influence mechanism is explained in combination with the theory of social capital,which provides empirical analysis evidence for the study of the influence mechanism of network structure and network governance effect.At the same time,in order to effectively achieve China’s "double carbon" goal,policy suggestions at the governance level of self-organizing policy networks are proposed:(1)improve legislation and build a unified carbon emission governance framework system;(2)enhance the information transparency of carbon emission work and broaden the information communication channels between different subjects;(3)set up a special carbon emission working group to provide unified guidance for carbon emission work.(4)Strengthen the cultivation of professional and technical personnel,attach importance to the function of specialized groups;(5)establish and improve the market supervision mechanism,and increase the cost of cooperative defection by actors.