摘要
利用主成分分析法,将2014-2018年长江经济带城市的3个水污染评价因子和5个空气污染评价因子重构成环境污染综合评价指标,在此基础上构建长江经济带环境污染的空间关联网络,并运用网络分析方法考察该空间关联网络的特征和影响因素。研究结果表明:长江经济带环境污染存在明显的空间关联;长江经济带环境污染治理需要考虑空间影响,建立协同机制。空间关联网络中各主体的地位存在较大差异,攀枝花和宜昌在空间关联网络中具有最大的影响力;长江经济带环境污染治理既要整体推进,又要重点突破。第二产业占GDP比重的差异和人口密度的差异是影响环境污染空间关联的重要因素。
Using the principal component analysis method,we put the three water pollution assessment factors and five air pollution assessment factors which are between 2014 to 2018 in the cities of Yangtze River Economic Belt as an comprehensive environmental pollution assessment indicators.On the basis of this,we construct an environmental pollution spatial correlation network,and use network analysis method to examine the characteristic and influencing factors of this spatial correlation network.The research indicates that every city in the spatial correlation network is closely linked.So we should control the environmental pollution cooperatively.The status of the entities in the spatial correlation network is different.Panzhihua and Yichang have the greatest influence in the network and should be the focus of environmental pollution control.The differences of the secondary industry proportion and population density are two important factors affecting spatial correlation.
作者
林黎
李敬
LIN Li;LI Jing(Research Center for Economy of Upper Reaches of the Yangtse River,Chongqing Technology and Business University,Chongqing400067,China;School of Economics,Chongqing Technology and Business University,Chongqing400067,China;Center for Southeast Asian Studies,Chongqing Technology and Business University,Chongqing400067,China)
出处
《经济问题》
CSSCI
北大核心
2019年第9期86-92,111,共8页
On Economic Problems
基金
国家社科基金西部项目“长江经济带生态环境协同治理机制研究”(17XJ010)
重庆市教育科学“十二五”规划高等教育质量提升专项课题“基于协同创新的高校智库研究”(2015-GX-027)
重庆工商大学博士科研启动项目“基于强制性介入模式的中国生态补偿政策研究”
长江上游经济研究中心“2017年度科研(智库)团队项目”(CJSYTD201707)
关键词
长江经济带
环境污染
空间关联
网络分析方法
environmental pollution
Yangtze River Economic Belt
spatial correlation
network analysis method
