Accelerating the construction of a low-carbon, safe, and modern energy system is becoming a critical developmental path toward solving the climate change problem. China provides institutional support in various ways for this clean and efficient new energy, but there is still a gap between the developmental scale and the planned target. Considering the theory of system support and the coalbed methane industry, we combed the existing institutional support for the coalbed methane industry based on grounded theory and defined the initial model. We used the system dynamics method to construct and simulate the model and verified the system’s effectiveness by using the goodness of fit. The results show that institutional support promotes the development of the coalbed methane industry, and the interaction between the two forms a dynamic system. Based on the sensitivity analysis method, the enlightenment of the management with respect to the improvement of the development of the coalbed methane industry was obtained. Firstly, the management of coalbed methane mining rights should be supervised and large-scale utilization should be strengthened. Secondly, the central government’s subsidies should be raised and local governments should be encouraged to provide support. Thirdly, technological innovation should be enhanced and fair competition should be ensured.
Abstract. The rapid development of urbanization in China is coupled with the increase in per capital electricity consumption. This study focuses on the impacts of residents' income change and consumption tendency change on per capital electricity consumption in the process of urbanization in China. In this paper, LMDI method is used to analyze each factor's impact on per capital electricity consumption in the process of urbanization in China. The results show that income effect is the major determinant of per capital electricity consumption which is followed by population structure effect and electricity consumption effect; income effect in the urban regions is more than that in the rural regions; electricity consumption tendency effect in the rural regions is more than that in the urban regions.
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