基于多模型的青海省经济增长与环境质量耦合研究

发布时间：2017-12-28 11:01

本文关键词：基于多模型的青海省经济增长与环境质量耦合研究　出处：《生态经济》2017年12期 　论文类型：期刊论文

【摘要】：首先,运用TOPSIS综合评价法计算出2011—2014年青海省环境污染综合指数。其次,以标准化后的人均GDP作为自变量,以环境污染指数作为因变量,建立EKC经验方程并进行回归分析,发现EKC经验模型忽略了经济增长和环境质量间的双向影响机制,从而导致了内生变量偏差问题。然后,利用向量自回归VAR模型对青海省经济增长与环境污染之间的相互关系进行分析研究,结果表明,青海省经济增长对环境污染的影响程度呈上升态势。再次,运用环境—经济协调度评价模型,定量分析评价环境经济系统协调度,并与相邻省份甘肃和陕西对比,发现青海省虽然协调度最弱,但协调发展度相对较好。最后,分析提出青海省促进经济环境系统协调发展的对策建议。
[Abstract]:First, the comprehensive index of environmental pollution in Qinghai province from 2011 to 2014 was calculated by using the TOPSIS comprehensive evaluation method. Secondly, the per capita GDP normalized as independent variables, to environmental pollution index as the dependent variable, EKC equation and regression analysis, found that the EKC experience model ignores the mechanism of mutual influence between economic growth and environmental quality, which leads to the deviation of endogenous variables. Then, the vector autoregressive VAR model is applied to analyze the relationship between economic growth and environmental pollution in Qinghai province. The results show that the impact of Qinghai's economic growth on environmental pollution is on the rise. Thirdly, the coordination degree of environmental economic system is quantitatively analyzed and evaluated by using the evaluation model of environmental economy coordination. Compared with the neighboring provinces of Gansu and Shaanxi, it is found that although the coordination degree of Qinghai is the weakest, the degree of coordinated development is relatively good. Finally, the paper puts forward the countermeasures and suggestions to promote the coordinated development of the economic environment system in Qinghai province.
【作者单位】：青海大学财经学院;
【基金】：国家社会科学基金项目“基于人口资源环境承载力评价的‘十三五’时期青海省区域经济发展战略研究”(15BJY003) 青海省科技厅软科学计划项目“青海省环境污染状况对区域经济发展的影响研究”(2016ZJ-605) 青海省哲学社会科学规划项目“青海省重点开发区域经济发展与生态环境耦合关系研究”(17016)
【分类号】：F127;X22
【正文快照】： 经济增长和环境污染程度间的关系类似于库兹涅茨在其研究中发现的收入水平与分配公平关系的库兹涅茨曲线,在工业化阶段初期环境污染随经济增长而加剧,到了一定程度后环境污染随经济增长而下降。西部大开发战略实施以来,我国西部地区的经济总量增长迅速,但随之产生严重的环境污

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