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《Acta Ecologica Sinica》 2012-11
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Co-integration theory-based analysis on relationships between economic growth and eco-environmental changes: taking the southeast district in Chongqing city as an example

XIAO Qiang1,2,HU Dan2,XIAO Yang2,LI Yongzhi2,TAN Hong1,HUANG Yong3 1 Institute of Intangible Cultural Heritage,Chongqing College of Arts and Sciences,Chongqing 400012,China 2 State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China 3 Centre for Environmental Engineering Evaluation,Ministry of Environmental Protection,P.R.China,Beijing 100021,China  
Ecological environmental changes play critical roles in economic development,but environment conservation and economic growth always assumes the two-direcrtional interactions between them.When many countries and regions achieved high-speed economic growth,these activities also led to over-exploration and consumption of ecological resources that further caused serious environmental pollution and ecological damage.Based the related research literatures,the e influencing mechanisms of eco-environmental changes on economic growth can be concluded into 3 catagories,but most of the literatures ignored the two-way influencing mechanism between economic growth and ecological environmental changes because the feedback response of ecological environmental changes on economic growth was ignored,which led to a statistically variable deviation because economic growth itself is endogenous variable together determined by environmental change and other factors. Based on the time-series data between 1980—2009,this research conducted a dynamic quantitative analysis on economic development and environmental changes by using co-integration test and variance decomposition model,Compared with the previous studies,this research has mainly the following characteristics: 1)the long-term dynamic impulse response analysis between eco-environmental changes and economic growth using impulse response function method;2) predictive variance decomposition method is used to further investigate the relative importance level of economic growth and environmental changes in explaining the changes in economic and environmental factors. We have some conclusions as follows: There exists a long-term equilibrium relationship between economic growth and environmental changes.The non-stationary indicators of economic growth and eco-environmental factors becomes stationary treated by a first-order difference technique and have statistically co-integration relations between them.Co-nintegration test showed that per capita GDP,gas discharge,solid wastes,fertilizer usage amount and exploiting of mineral resources by using the test model with intercept and trend term.The trace test and the maximum eigenvalue showed that there exists co-integration relationships among per capita GDP,waste gas discharge amount,solid wastes discharge,fertilizer usage amount and exploitting amount of mineral resources with an 5% of significance level.In the long run,per capita GDP is negatively correlated with waste gas discharge amount and solid waste discharge amount while it is positively correlated with exploiting amount of mineral resources and fertilizer usage intensity.The exploiting amount of mineral resources is negatively correlated with waste gas discharge amount and solid waste discharge amount while positively correlated with per capita GDP.Impulse response analysis based on VECM shows that fast economic growth was the main factor influencing environmental change,and eco-environmental degradation had a feedback actionon economic growth.From the effects of this kind of responses,the negative responses of eco-environmental degradation on economic growth showed that the increase of eco-environmental degradation led to the change in citizens′environmental preference which caused an external pressure on economic growth,but the feedback actions of eco-environmental changes on economic growth had a time delay.
【Fund】: 国家973项目(2009CB421105);; 国家科技支撑计划课题(2007BAC28B04);; 国家自然科学基金项目(70873121)
【CateGory Index】: F127;F205;F224
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