Mei Sun

Investigating carbon tax pilot in YRD urban agglomerations—Analysis of a novel ESER system with carbon tax constraints and its application

n Abstractn n This paper attempts to explore carbon tax pilot in Yangtze River Delta (YRD) urban agglomerations based on a novel energy-saving and emission-reduction (ESER) system with carbon tax constraints, which has not yet been discussed in present literature. A novel carbon tax attractor is achieved through the discussion of the dynamic behavior of the new system. Based on the genetic algorithm-back propagation neural network, the quantitative coefficients of the actual system are identified. The scenario analysis results show that, under the same tax rate and constraint conditions, the ESER system in YRD urban agglomerations is superior to the average case in China, in which the impacts on economic growth are almost the same. The former’s energy intensity is lower and the shock resistance is stronger. It is found that economic property of YRD urban agglomerations is the main cause for the ESER system of YRD urban agglomerations being superior. In the current YRD urban agglomerations’ ESER system, energy intensity cannot be adjusted to an ideal level by commercialization management and government control; however, it is under effective control of carbon tax incentives. Therefore, strengthening the economic property of YRD urban agglomerations and effective utilization of carbon tax incentives could perfectly control energy intensity, without obvious potential negative impact on economic growth.n n

A hierarchical-network-model based analysis of the market characteristics of China's photovoltaic enterprises

Chinas photovoltaic (PV) enterprises have experienced difficulties under the influence of the growth slowdown of international market and trade protectionism since 2012. In this paper, from a new perspective of building a hierarchical network model, by using the minimum spanning tree (MST) technique, the market characteristics of Chinas PV enterprises was researched. The economic distance in the MST was calculated by using PV enterprises daily closing price of stocks during the years 2007–2013. With the analysis of the topology of hierarchical network, the community structures of the network are derived and some influential enterprises are identified. It is necessary for PV enterprises to deeply connect and cooperate with each other to cope with market risk. Whats more, the key factors that affect the hierarchical network were also studied; the result indicates that assets expansion and the core technology competitiveness are important factors for the development of PV enterprises. In the end, some suggestions are put forward to promote sustainable development of Chinas PV industry.