节点文献

产业区位商视角下环境污染与经济增长关系的研究

Study on the Relationship between Economic Growth and Environmental Pollution from the Perspective of Industrial Location Quotient

【作者】 周璇

【导师】 肖荣阁;

【作者基本信息】 中国地质大学(北京) , 资源产业经济, 2014, 博士

【摘要】 近年来,我国环境质量不断恶化,“三废”污染已直接影响到了当代人民生活的幸福指数和后代子孙的生活质量。因此,从污染之源头——工业行业部门的产业竞争力层面来探究环境污染的根源和路径便有一定的现实意义。论文首先构建了环境库兹涅茨曲线(EKC)模型,揭示出我国各区域环境污染与经济增长的关系,接着基于产业结构这一视角,来探析经济增长的产业基础,最后利用区位商这一体现产业竞争力的指标,从工业行业竞争力层面来揭示我国环境污染的根本原因。基于1998-2011年我国各区域环境污染和经济增长关系的空间面板模型,论文绘制出了环境库兹涅茨曲线,发现我国总体、东部和中部废水排放量与人均GDP之间均为单调递增曲线,而西部、东北部地区则分别为倒U型和U型曲线,且都已越过拐点;我国各区域二氧化硫排放量与人均实际GDP之间均为倒N型曲线,且都已越过第二个拐点;工业废气排放量与人均GDP之间除东北部地区为倒N型(2009年越过第二个拐点)外,其它区域均为单调递增曲线;我国烟粉尘排放量与人均GDP之间除东北部地区为倒N型(2007年越过第二个拐点)外,其它区域均为单调递减曲线;我国工业固体废物排放量与人均GDP之间除了东北部地区为U型(1999年越过拐点)外,其它区域均为单调递增曲线。因此,我国各区域经济增长给环境带来的污染十分严重,尤其体现在废水、工业废气、工业固体废物污染之上。对我国各区域经济增长之基础——产业结构做进一步分析,发现我国各区域的第二产业对其经济增长的贡献最大,而这主要归功于其中的工业(超过40%)。由此,论文通过产业区位商这一经济指标,对研究始末点(1998年和2011年)的工业产业竞争力进行了对比分析,发现我国各区域产业区位商较高的行业,即产业竞争力具有较强优势的行业,在拉动区域经济增长的同时,也带来了很大污染,也就是说,我国各区域具有产业竞争力优势的工业行业部门是导致环境污染的主要原因之一。此外,论文针对不同的环境污染原因,从政策层面提出了相应建议。

【Abstract】 In recent years, our country environment quality is deteriorating;"Three Wastes"pollution has directly affected the lives of the people’s well-being and quality of life ofour grandchildren. Therefore, from the source of pollution, industry competitiveness ofindustry sector level, to explore the cause and path has certain practical significance.Paper first constructs the environmental Kuznets curve (EKC) model, and reveals therelationship between regional environmental pollution and economic growth in China,and then based on the perspective of industrial structure, to analyze the industrialfoundation of economic growth. Finally using location quotient this reflect the index ofindustry competitiveness, from the industry competitiveness level to reveal the root causeof environmental pollution in our country.Based on the spatial panel model of the relationship between the regionalenvironmental pollution and the economic growth in our country from1998to2011,paper draw out of the environmental kuznets curve and found that the relationship ofChina’s overall, the eastern and central wastewater emissions and per capita GDP ismonotone increasing curve, while the west, North-East inverted u-shaped and u-shapedcurve respectively, and have crossed the inflection point; Between the regional sulfurdioxide emissions and real GDP per capita are inverted n-type curve, and has been overthe second inflection point; Between industrial emissions and per capita GDP in additionto the northeast is an inverted n-type over the second inflection point (2009), other areasare monotone increasing curve; In addition to the northeast is an inverted n-type, andcrossed the second inflection point(2007), other areas between smoke, dust emissionsand per capita GDP is monotone decreasing curve; In addition to the northeast for U, andcrossed the inflection poin(t1999), other areas of industrial solid waste emissions and percapita GDP is monotone increasing curve. Therefore, Chinese regional economic growththat brings to the environment pollution is very serious, particularly in waste water,industrial waste gas, and industrial solid waste pollution. The basis of the regionaleconomic growth in China, the industrial structure does further analysis, found that the contribution of second industry is the largest to the economic growth, and this is mainlydue to industrial (over40%). Through the economic indicators of industrial locationquotient, the beginning and end of the thesis research points (1998and2011) comparesthe industry competitiveness, found that the advantage industry of China’s regionalindustrial competitiveness, while stimulating the regional economic growth, also hasbrought the very big pollution, that is to say, our country industry competitiveness for theregional advantage of industry sector is one of the causes of environmental pollution. Inaddition, the paper according to different cause of environment pollution from the policylevel puts forward the corresponding Suggestions.

节点文献中: 

本文链接的文献网络图示:

本文的引文网络