东北老工业基地生态效率测度及影响因素研究——基于DEA-Malm quist-Tobit模型分析

发布时间：2018-03-21 20:41

本文选题：东北老工业基地　切入点：生态效率　出处：《生态经济》2017年05期 　论文类型：期刊论文

【摘要】：以2004—2014年东北老工业基地23个地级城市面板数据为样本,运用DEA-Malmquist模型测度了东北老工业基地生态效率变化,并结合Tobit模型计量分析影响生态效率的因素。结果表明:2004—2014年东北老工业基地生态效率普遍偏低且呈下降趋势;辽宁省波幅较大,吉林省相对最好,黑龙江省近年改善势头较好;东北老工业基地的人口密度、人均GDP、产业结构、环境规制对生态效率具有促进作用,对外开放度和科技水平则阻碍了生态效率的提高,上述影响因素也是东北老工业基地生态效率区域差异形成的重要原因。
[Abstract]:Based on the panel data of 23 prefecture-level cities from 2004 to 2014, the ecological efficiency of the old industrial base in Northeast China was measured by using DEA-Malmquist model. The results show that the ecological efficiency of the old industrial base in Northeast China from 2004 to 2014 is generally low and tends to decrease, the amplitude of Liaoning Province is relatively large, Jilin Province is the best, and Heilongjiang Province has better improvement momentum in recent years. The population density, per capita GDP, industrial structure and environmental regulation of the old industrial base in Northeast China promote ecological efficiency, while the degree of opening to the outside world and the level of science and technology hinder the improvement of ecological efficiency. The above factors are also important reasons for the formation of regional differences in ecological efficiency of old industrial bases in Northeast China.
【作者单位】：湖北师范大学经济与管理学院;中南财经政法大学经济学院;
【基金】：中央高校基本科研业务费资助项目“东北老工业基地人口变动对经济增长的影响研究”(2015BZ0302) 湖北省教育厅人文社会科学青年项目“湖北省老工业基地人口变动对经济增长的影响研究”(16Q162) 湖北师范大学资源枯竭型城市转型与发展研究中心2016年度开放基金资助项目“东北资源枯竭型城市人口转变对经济增长的影响研究”(Kf2016y10)
【分类号】：F224;F427;X22

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