基于DEA-ESDA的皖江城市带城市效率评价
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摘要
城市效率是衡量城市发展水平的重要指标。文章以皖江城市带地级市为研究样本,建立DEA模型的评价指标体系,运用DEA交叉模型对皖江城市带各城市进行效率分析,采用ESDA探索性空间数据分析研究了皖江城市带城市效率的演化过程及空间差异。得出以下结论:近年皖江城市带各城市GDP和固定资产投资都呈现大规模递增的态势,但城市效率普遍偏低,稳定性不强,并呈波动型发展的态势;传统工矿型城市的城市效率要低于综合型城市;城市效率与城市经济发展水平呈一定的正相关性;城市效率与城市规模具有一定的相关性,但在皖江城市带显著性不强。
Urban efficiency is an important index to evaluate city development level. The paper,taking cities at prefecture-level in Wanjiang City Belt as the research sample,establishes an evaluation index system of DEA model,and employs thecross model of DEA to analyze the efficiency of cities in Wanjiang City Belt,and adopts ESDA exploratory spatial data to ana-lyze their evolution process and spatial differences. The major conclusions are as follows: GDP and fixed assets investment ofcities in Wanjiang City Belt present the large-scale increasing trend in recent years,but the urban efficiency is generally lowand unstable with fluctuating development. The urban efficiency of traditional industrial and mining cities is lower than that ofcomprehensive cities. The urban efficiency and city development level show a certain positive correlation. The urban efficiencyand the urban size are correlative to some degree,which is not significant in Wanjiang City Belt.
Urban efficiency is an important index to evaluate city development level. The paper,taking cities at prefecture-level in Wanjiang City Belt as the research sample,establishes an evaluation index system of DEA model,and employs thecross model of DEA to analyze the efficiency of cities in Wanjiang City Belt,and adopts ESDA exploratory spatial data to ana-lyze their evolution process and spatial differences. The major conclusions are as follows: GDP and fixed assets investment ofcities in Wanjiang City Belt present the large-scale increasing trend in recent years,but the urban efficiency is generally lowand unstable with fluctuating development. The urban efficiency of traditional industrial and mining cities is lower than that ofcomprehensive cities. The urban efficiency and city development level show a certain positive correlation. The urban efficiencyand the urban size are correlative to some degree,which is not significant in Wanjiang City Belt.
引文
[1]戴永安.中国城市效率差异及其影响因素——基于地级及以上城市面板数据的研究[J].上海经济研究,2010(12):12-19.
[2]谢诗思.中国城市化道路如何走下去[N].社会科学报,2012-06-07(4).
[3]王金祥,王卓.基于超效率DEA模型的城市效率评价[J].西安电子科技大学学报:社会科学版,2008,18(1):62-70.
[4]宋军继,潘振文.2014年山东省城镇化发展报告[M].济南:黄河出版社,2014.
[5]袁晓玲,仲云云.我国区域经济发展效率的时空变化及影响因素分析——基于超效率DEA模型的实证分析[J].商业经济与管理,2010(7):81-90.
[6]方创琳,姚士谋,刘盛和,等.2010中国城市群发展报告[M].北京:科学出版社,2011.
[7]Charnes A,Cooper W W,Rhodes E.Measuring the efficien-cy of decision making units[J].European Journal of Opera-tional Research,1978,2(6):429-444.
[8]尹君.中国地级及以上城市效率评价及其时空演变研究[D].兰州:西北师范大学,2013.
[9]黄永斌.基于ESDA和DEA模型的中国城市紧凑度时空变化及其城市效率评估研究[D].兰州:西北师范大学,2012.
[10]马晓冬.基于ESDA的城市化空间格局与过程比较研究[M].南京:东南大学出版社,2007.
[11]马荣华,蒲英霞,马晓冬.GIS空间关联模式发现[M].北京:科学出版社,2007:98-101.
[12]靳城,陆玉麒.基于县域单元的江苏省经济空间格局演化[J].地理学报,2009,64(6):713-724.
[13]关伟,朱海飞.基于ESDA的辽宁省县际经济差异时空分析[J].地理研究,2011,30(11):2008-2016.
[14]张军涛,刘建国.城市效率及其溢出效应——以东北三省34个地级市为例[J].经济地理,2011,31(4):578-583.
[15]方创琳,关兴良.中国城市群投入产出效率的综合测度与空间分异[J].地理学报,2011,66(8):1011-1022.
[2]谢诗思.中国城市化道路如何走下去[N].社会科学报,2012-06-07(4).
[3]王金祥,王卓.基于超效率DEA模型的城市效率评价[J].西安电子科技大学学报:社会科学版,2008,18(1):62-70.
[4]宋军继,潘振文.2014年山东省城镇化发展报告[M].济南:黄河出版社,2014.
[5]袁晓玲,仲云云.我国区域经济发展效率的时空变化及影响因素分析——基于超效率DEA模型的实证分析[J].商业经济与管理,2010(7):81-90.
[6]方创琳,姚士谋,刘盛和,等.2010中国城市群发展报告[M].北京:科学出版社,2011.
[7]Charnes A,Cooper W W,Rhodes E.Measuring the efficien-cy of decision making units[J].European Journal of Opera-tional Research,1978,2(6):429-444.
[8]尹君.中国地级及以上城市效率评价及其时空演变研究[D].兰州:西北师范大学,2013.
[9]黄永斌.基于ESDA和DEA模型的中国城市紧凑度时空变化及其城市效率评估研究[D].兰州:西北师范大学,2012.
[10]马晓冬.基于ESDA的城市化空间格局与过程比较研究[M].南京:东南大学出版社,2007.
[11]马荣华,蒲英霞,马晓冬.GIS空间关联模式发现[M].北京:科学出版社,2007:98-101.
[12]靳城,陆玉麒.基于县域单元的江苏省经济空间格局演化[J].地理学报,2009,64(6):713-724.
[13]关伟,朱海飞.基于ESDA的辽宁省县际经济差异时空分析[J].地理研究,2011,30(11):2008-2016.
[14]张军涛,刘建国.城市效率及其溢出效应——以东北三省34个地级市为例[J].经济地理,2011,31(4):578-583.
[15]方创琳,关兴良.中国城市群投入产出效率的综合测度与空间分异[J].地理学报,2011,66(8):1011-1022.
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