ABSTRACT.The research related to energy-saving and emission-reduction can be helpful in designing the energy-saving development mode. The conventional methods for energy-saving and emission-reduction usually take a long time to estimate the effects under different modes, and their estimations may have many errors with long-term economic and environmental impacts. The environmental protection and economic development are interrelated with each other; a balanced development has to be taken into account synthetically. Since the relationship between economy and environment is complex, this paper studies the effects of the two indicators, and identifies their key impact on achieving energy-saving and emission-reduction. This paper conducts a thorough study on the economic and environmental developments in Beijing based on the OLAP multi-indicator relational model. The relation quantization function can be obtained and the energy-saving and emission-reduction from the perspective of the quantitative multi-indicator relationship can be studied in this study.
This paper will research the relationship between the Beijing industrial structure and the sustainable development through the 3EDSS which provides an all-round, multi-level international index data inquiry, statistics, analysis and computation function and grey correlation analysis theory, analysis the degree of association between each industry and GDP, energy consumption elasticity coefficient, sulfur dioxide emissions of Beijing, thus putting forward some suggestions for Beijing to the sustainable development and industrial structure optimization.
At present, China is in a critical period of energy restructuring. Renewable energy industry bear to ensure national energy security and achieve the historic task of energy for sustainable development. To speed up technological innovation of renewable energy industry has been a priority. Conducting systematic research of renewable energy technologies selected, not only can grasp the advantages of renewable energy resources, a clear direction of development of industrial technology, but also to enrich and improve the industrial technology innovation management theory and methods to make a positive contribution. This paper established a renewable three-dimensional evaluation model of industrial technology development (technology needs dimension, technology dimension and the supply of integrated environmental dimensions) ,and took Beijing as an example to calculate the Beijing photovoltaic, wind power, biomass and small hydro renewable energy generation technology evaluation results.
This paper selects energy consumption and annual GDP data of Beijing from the year of 1990 to 2009 as a sample, and adopted the research method of combining the quality and quantity, theory and empirical research, and we also employed the multiple linear regression model to analyze the effect of energy consumption to economic growth and the sensitivity of each effect factor. We wish this paper could provide a support to the future economic growth and policy optimization of energy and industry development of Beijing from theory to data.
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