The Grey Relational Analysis on Coal Consumption and the Economic Growth in Shandong Province

Li Yang; Tao Jiang; Ying Li; Xingyuan Xiao
Based on expounding the current natural endowment condition of coal resources, this thesis collects relative statistical data from 1995 to 2007, using grey correlation analysis method and other mathematical statistics methods to analyze the relationship between coal consumption, economic growth (Urbanization level, Industrial structure, GDP) and the environment. The research indicates that coal consumption and economic growth of Shandong province has significant correlation. One more percent of urbanization level in Shandong province will add 4.8% of coal consumption. Coal consumption and consumption intensity both have a strong correlation with secondary industry and tertiary industry, particularly in most correlation with the secondary industry. 100 more million of GDP will add 12400 tons standard coal in coal consumption. Coal consumption per ten-thousand yuan GDP has firstly increased and then decreased. From 2000 to 2003, coal consumption per ten-thousand yuan GDP increased slowly, and from 2004, it decreased rapidly with nearly one-third improvement of coal use efficiency. Coal consumption and air pollutants emissions of per unit of GDP were negatively correlated. From 1995 to 2007 years, coal consumption has increased year by year, and the unit GDP SO2 emissions and soot volume decreased year by year. This benefits from pollution control efforts and energy structure adjustment and so on. Finally, according to the present situation of coal resources in Shandong province and the relationship between coal consumption and the economic growth and the environment, this thesis puts forward strategies and suggestions of coal resources utilization and continuous development in Shandong province.
Grey Correlation Analysis; Coal Consumption; Economic Growth; Industrial Structure; Urbanization Level; Environment; Shandong Province
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