Research on the Coupling Relationships between Industrial Structure and Eco-Environment in Fujian Province
Chen Yan-wu
Abstract
Chen Yan-wu
Abstract
According to the Press-State-Respond model(P-S-R Model) advanced by the RD Office of OECD,this paper constructed a comprehensive evaluation system of industrial structure and ecological environment combining with the current environmental situation of Fujian province,and respectively calculated the profitable index of industrial structure and quality index of ecological environment in Fujian with the method of Principal Components Analysis,by which the coordinative degree of industrial structure is measured.Then a VAR model of the industrial structure,ecological environment and economic growth is formed.Through the impulse-response function and variance decomposition,we found that there is a positive effect between the benifit of industrial structure and the quality of ecological environment in Fujian,but their relative variance contribution is different.
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According to the Press-State-Respond model(P-S-R Model) advanced by the RD Office of OECD,this paper constructed a comprehensive evaluation system of industrial structure and ecological environment combining with the current environmental situation of Fujian province,and respectively calculated the profitable index of industrial structure and quality index of ecological environment in Fujian with the method of Principal Components Analysis,by which the coordinative degree of industrial structure is measured.Then a VAR model of the industrial structure,ecological environment and economic growth is formed.Through the impulse-response function and variance decomposition,we found that there is a positive effect between the benifit of industrial structure and the quality of ecological environment in Fujian,but their relative variance contribution is different.
Key concepts: Variance (accounting), Decomposition, Variance decomposition of forecast errors, Index (typography), Quality (philosophy), Environmental quality, Environmental resource management, Environmental science