The optimization degree of provincial industrial ecosystem and EKC of China —based on the grey correlation analysis
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)(2015)
摘要
In this paper, we will expand the industrial ecosystem to three subsystems: the economy subsystem, the environment subsystem, and the innovation subsystem. Based on principal component analysis and grey correlation analysis, a model of the optimizing degree of Chinese economic industrial ecosystem is developed at the provincial level, and a mathematical definition of the optimization degree is provided to evaluate the provincial industrial ecosystem from a relatively new perspective. Based on their optimization degrees, the thirty provinces of China are classified into four categories in terms of their economy-environment-innovation relation: the harmonious region, the gearing region, the rivaling region and the discordant region. By fitting the curve of Environment Kuznets Curve (EKC) with a cubic function for each category, we show that each category has its own shape of EKC: category I has the monotonically decreasing curve, category II has a inverted U shaped curve, category III has a N-shaped curve, while category IV has a U-shaped curve. Our results show how the category's optimization degree of industrial ecosystem affects the relation of economic growth to environmental quality. In particular, for the region I whose optimization degree γ>0.7, the relation between economic growth and environmental pollutants is harmonious; for the region II whose optimization degree 0.6<γ<0.7, the relation is rivaling; for the region III whose optimization degree 0.5<γ<0.6, the relation is conflicting; and for the region IV whose optimization degree γ<0.5, the relation is discordant.
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关键词
Grey correlation analysis,Principal Component Analysis,Industrial ecosystem,Environment Kuznets Curve,Pollutant emission,Economic development
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