Advanced Materials Research Vols. 962-965

Abstract: Based on the panel data of related variables of 30 provinces, municipalities and autonomous regions in China from 2005 to 2011, this paper uses partially linear single index panel model (PLSIPM) to study the influence factors of regional carbon emissions, and their linear and nonlinear influence strengths. The research results are summarized as follows: (1) Current energy and industry structures in China have positive linear influences to carbon emissions, this means they exacerbate carbon emissions and should be adjusted; (2) Trade openness and urbanization ratio have negative nonlinear influences to carbon emissions, they current play roles of nonlinear inhibition to carbon emissions; (3) GDP has positive nonlinear influences to carbon emissions, current growth of GDP is not helpful to reduce carbon emissions in China.

Abstract: This paper analyzes the potential factors influencing the changes of CO₂ emissions of the power generation for four provinces and one city in Eastern China during the period of 1995-2012 applying the Logarithmic Mean Divisia Index (LMDI) method. The changes of CO₂ emissions in power generation are decomposed into three factors: electricity production effect, electricity generation structural effect and energy generation intensity effect. The empirical results show production effect is the major factor responsible for rise in power generation CO₂ emissions during the period 1995-2012. With the exception of Fujian province the energy generation intensity effect is mainly responsible for the decrease in CO₂ emissions over the period 1995–2012.The contribution of generation structure effect to CO₂ emissions changes is different across the regions in Eastern China and it had little effect on CO₂ emissions changes. The empirical results also show that there is a potential of efficiency improvement of fired power plants and optimization of the power generation structure.

Abstract: Studying on the regional carbon emissions impacting factor and its effect will contribute greatly to formulation sound regional carbon emissions reduction policy. As a main province of energy development in the western of China, Shaanxi province is facing growing pressure to reduce carbon emissions. In this paper, carbon emissions impacting factors of Shaanxi were explored from aspects of population,economic growth, urbanization, industrial structure, technological progress and energy consumption structure by STIRPAT model and ridge regression method,then the contribution rate of impacting factors to carbon emissions increment were calculated. The results shows that population, economic growth, urbanization and energy consumption have positive impacting on the growth of carbon emissions in Shaanxi, among them, the economic growth is the decisive factor that pulling carbon emissions growth the economic growth. Industrial structure and technology progress had adverse effect on carbon emissions in Shaanxi, in comparison, the effect of optimizing of industrial structure to inhibit the carbon emissions in Shaanxi is greater than the effect of adjustment of energy consumption structure.

Abstract: This paper intends to improve the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method in view of the traditional TOPSIS method and combines with the current development of Chinese enterprises. By determining the index weights and attributes, it also constructs a new enterprise decision-making method which based on energy saving and greenhouse gas emissions. According to the survey's raw data, this paper not only calculates the energy levels of conventional coal-fired power plant in North China and an integrated gasification gas-steam combined cycle (IGCC) power plant, but also computes their carbon dioxide emissions. The results show that under the same circumstances, the energy consumption of IGCC power plant is lower than that of the conventional coal-fired power plants, has less carbon dioxide emissions, lower carbon intensity and higher carbon productivity. On the basis, using the improved TOPSIS method, the paper calculates the numerical superiority of two schemes and sorts of them, verified the correctness of this construction method.

Abstract: With development of internet network, more traditional brick-and-mortar firms sell products via online channels. The key feature of online channels is home delivery, hence, how to design efficient online logistics networks has been the core problem faced by online firms. Furthermore, with increasing pollution of ecological environment and global warming, more carbon emission regulations enacted and implemented also impact firms operation and decision. This paper mainly study online logistics networks design constraint from carbon emission regulations. We analyze the following three types of networks, dropping delivery network (D), delivery network via distribution center (W), and last mile delivery network (L). Combining carbon emission from inbound and outbound transportation, and emission from inventory storage, we design optimal logistics networks and then analyze online logistics network design of Sunfeng best choice firm.

Abstract: The use of fuel additive has been proposed as a cost-effective strategy for leading to improvement in the fuel efficiency and reduction in the emissions from diesel-powered engines. This paper reports the results of experimental investigations on the influence of the addition of multi-composite naphthenates. The major physicochemical properties, engine performance and emissions of the base diesel and the modified diesel are measured. Comparisons of the performance of the diesel with and without the additive, both of them had good stability. The flash point and the viscosity were found that there was no change with the inclusion of the additive. The calorific value of diesel with additives has a significant increasing. The emission levels of NOx are appreciably reduced with the addition of multi-composite naphthenates. Therefore, it was concluded that the multi-composite naphthenates fuel additive can be used to improve the fuel properties of diesel.

Abstract: The paper explored how to develop schemes to achieve a district’s energy consumption per gross domestic product (ECPGDP) target. It first analysed the available measures regarding the reduction of ECPGDP. These measures include optimising the industrial structure, reducing the energy intensity of different industries, reducing the per capita residential energy consumption, and reducing the energy losses. Next, the procedure and methods of developing schemes to achieve the target ECPGDP were proposed. The procedure contains five steps: determine the target ECPGDP, predicting the initial value of the ECPGDP, analysing the availability of different measures of reducing the ECPGDP, forming the schemes of achieving the target, and summarising the proposed schemes. Finally, the paper considered the 12^th Five-Year period ECPGDP target of Daxing District, Beijing as a study case. In the case study, four quantitative schemes to achieve the target ECPGDP were considered.

Abstract: As the basic study of energy conservation, Apparent Potential of Energy Saving and Emission Reduction (AP-ESER) analysis is a key link of energy conservation work in China. Compared with developed countries, the performances of energy conservation are not remarkable in most developing countries, which ensured the dominant position of apparent potential in the whole potential field. Based on the non-parametric Data Envelopment Analysis (DEA) method model and total-factor framework, the study established an AP-ESER analysis system. We investigated a sample of 30 provinces in China, used K-means clustering method, GIS special labeling method and radar graphic method to analyze the results, and divided the 30 provinces into 5 clusters according to the visual potential of energy conservation. At the same time, we tried to find the key factors of energy conservation in each province following the status comparison of radar graphic method, and listed it under the sort of critical degree of the factors.

Abstract: Complying with the rapid development of green economy, carbon emission has attracted more and more attention. For reducing carbon emission, carbon emission rights is endowed with scarcity and it is trading in the Secondary Market. Carbon market is just beginning in China. Moreover, the price of carbon emission rights is the key of effective operation of market transaction. The mathematical model was established, which included 4 factor-demand, supply, Policies and technology. Then, we separately analyse the four influencing factors and provide some references to establish an orderly domestic carbon emission market.

Abstract: Under the background of global climate warming, the low carbon economy has become the focus of international attention. Some developed countries construct the low carbon trade barriers and implement trade protection on the grounds of environmental protection. This makes the cost of China’s agricultural products export increased, the scale of China’s agricultural products export reduced and the exertion of the traditional comparative advantage of China’s agricultural products inhibited, but at the same time promotes the development of China’s low carbon agriculture. The paper puts forward some countermeasures to cope with the low carbon trade barriers from the point of view of government and enterprises.