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As a kind of capital, intermediate inputs play an important role that cannot be ignored in the process of production. Their coefficient size reflects a country's economic growth mode. Current mainstream economic growth theories only consider the value added production function, rather than gross output production function, thus ignoring the role of intermediate inputs in the production process and the evaluation of economic efficiency. This paper is based on the statistical characteristics, basic model and empirical test of the basic paradigm. From the perspective of statistical characteristics, China's intermediate inputs coefficients are significantly higher than that of U.S. and Japan and other developed countries. The energy consumption per unit GDP is far over the world average level, which shows that the characteristic of China's economic growth is of extensive growth mode. By using theoretical derivation and numerical simulation, this paper has drawn the conclusion that a country's economic growth mode is related to the intermediate inputs elasticity of substitution, value added rate (VAR), technical level, and some other parameters. Firstly, there exists substitution rather than complementary linkage between primary investment and intermediate inputs. Secondly, economic growth rate shows negative correlation with the size of the elasticity of substitution of intermediate inputs, and the greater, the slower, and vice versa. Thirdly, inverted U shape shows that with the increase of intermediate inputs rate, the equilibrium output increases first and then decreased. In other words, there exists an optimal VAR. In the empirical analysis by using data of China, U.S., Japan and Brazil, the paper proves that there are obvious differences in the elasticity of substitution of intermediate inputs among different countries at their different stages during development. On the one hand, there is a different elasticity of substitution at different stage for a country with a certain independence, and the elasticity of substitution of U.S. is much higher than that of China. On the other hand, there is deviation between the actual VAR and the optimal VAR among these countries, and the deviation of China and Brazil is much larger than that of U.S. and Japan. [ABSTRACT FROM AUTHOR]

This paper empirically studies the finance agglomeration and regional finance development disparities in China based on the sample of 31 provinces from 1997 to 2009. This paper calculates the degree of finance agglomeration using different measures and compares the results. Also, this paper discusses the spatial dependence of finance industry and the evolution of it using Moral I test and Moral scatter plots. The results illustrate that finance industry does not show significant spatial dependence or agglomeration for the whole country, however, there exists some area, where finance industry has some kind of spatial dependence. [ABSTRACT FROM AUTHOR]

This paper constructed the ecosystem comprehensive evaluation index system framework using driver-pressure-state-impacts-response (DPSIR) conceptual model. The comprehensive evaluation index system is formed through the selection, screening and rational analysis of ecological-system indicators. The evaluation model is established using the improved group Gl method to determine the index weight. At the same time, the paper uses empirical analysis to analyze the ecological conditions of 14 typical Chinese provinces. The contributions of this paper come from three aspects. Firstly, the paper constructed index system using DPSIR conceptual framework, and bring human demand, economic development and social progress into the system. Secondly, use the similarity degree of the ratio vectors or similarity degree of the order relation after equivalent formulation to empower the expert's knowledge and experience. Thirdly, through adding natural disaster index into the pressure layer of the index system, the paper described the effect of natural disaster on ecosystem. This improved the existing DPSIR model which only considered the effect of human activity on ecosystem. [ABSTRACT FROM AUTHOR]

Energy and environmental issues associated with the automotive industry constraints gradually expanded, with the continuous development of new energy vehicles and vehicle types constantly updated, the future of Chinese auto energy saving and environmental benefit analysis has yet to be analyzed. Firstly, this paper cited competition mechanism based on biological populations Lotka-Volterra model, using MATLAB modeling, simulation electric vehicles, conventional cars and natural gas vehicles in the next 40 years to maintain the amount of curve; combined with energy consumption and emissions in the process of car use and fuel production, car ownership of three models, quantitative analysed the energy conservation and emissions reduction benefits of automobile type change in the future. The results showed that: the future of conventional cars and natural gas car ownership will show the first increase after a decrease of parabolic trends, electric car ownership is "S" trend continues to grow; future total energy consumption and carbon emissions from vehicles show increased and then decreased of parabolic trend. [ABSTRACT FROM AUTHOR]