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京津冀城市群大气环境效率研究 被引量:2

Study on Air Environmental Efficiency of Beijing-Tianjin-Hebei Urban Agglomeration
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摘要 基于超效率SBM和GML指数研究方法,利用京津冀13个城市的数据测度了京津冀城市群2006—2016年大气环境效率,结合全局莫兰指数考察了京津冀城市群的空间格局,并对影响因素进行分析。结果表明:①京津冀城市群大气环境效率总体不高,呈下降趋势,城市之间存在明显差异,北京大气环境效率表现突出。②大气环境全要素生产率出现小幅下滑,技术落后是其主要原因。③大气环境效率的空间格局表现出由高—高集聚区逐渐向低—高集聚区迁移的趋势。④经济水平、开放程度和新能源普及率对大气环境效率具有显著促进作用,而产业结构、人口密度对大气环境效率具有负向影响。 Taking the data of 13 cities in Beijing,Tianjin and Hebei as research unit,this paper measured the air environmental efficiencies of Beijing-Tianjin-Hebei Urban Agglomeration from 2006 to 2016 on the basis of super-efficient SBM model and GML index,besides,investigated the spatial association in virtue of the overall Moran's index and further analyzed the influencing factors.The empirical results were as follows:①The air environmental efficiency of the Beijing-Tianjin-Hebei Urban Agglomeration was relatively low,showing a declining trend.Regional differences were significantly existed in the value of air environmental efficiency,but Beijing remained the leading level basically.②The air environmental total factor productivity declined slightly,technological backwardness was the main resistance.③The spatial pattern of air environmental efficiency showed a trend of shift from high-high agglomeration to low-high agglomeration.④Economic level,openness and new energy penetration rate had positive effects on air environmental efficiency while industrial structure and population density had negative effects.
作者 陈国鹰 郑姝慧 张爱国 万宝春 CHEN Guo-ying;ZHENG Shu-hui;ZHANG Ai-guo;WAN Bao-chun(School of Economics and Management,Hebei University of Technology,Tianjin 300401,China;Hebei Research Academy of Environmental Sciences,Shijiazhuang 050018,China)
出处 《资源开发与市场》 CAS 2019年第1期50-56,共7页 Resource Development & Market
基金 国家重点研发计划项目"典型区域大气排污许可管理体系设计与试点"(编号:2016YFC0208404) 大气重污染成因与治理攻关项目"区域动态高时空分辨率大气污染源排放清单"(编号:DQGG0201)
关键词 京津冀城市群 大气环境效率 大气环境生产率 空间格局 影响因素 Beijing-Tianjin-Hebei Urban Agglomeration air environmental efficiency air environmental productivity spatial pattern influencing factors
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