考虑非期望产出的区域物流产业效率空间效应分析
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摘要
文中基于2005-2015年物流产业相关数据,以碳排放为非期望产出,利用SBM模型测算中国30个省(市)的物流产业效率,并结合空间自相关分析方法和空间计量经济模型,研究中国区域物流产业效率的空间效应及其影响因素。结果表明:中国区域物流产业效率水平整体偏低,区域间发展不平衡;区域物流产业效率的全局Moran’s I指数均为正值,即区域物流产业效率整体具有一定的空间集聚特征,且呈现出正相关;城镇化水平、对外开放程度、交通基础设施水平、物流业市场需求和资源禀赋各影响因素均对区域物流产业效率表现为正向影响,具有较强的空间依赖性。
Based on the data of logistics industry from 2005 to 2015,WE used the SBM model to measure the efficiency of the logistics industry of China's 30 provinces,then studied the spatial effect of regional logistics industry efficiency and it's influencing factors. The results show that China's regional logistics industry efficiency level was low,and interregional development was uneven. The Moran's I of regional logistics industry efficiency was positive,it showed that the efficiency of China's regional logistics industry had a certain spatial agglomeration characteristic,and the correlation was positive. There were five factors: the urbanization level,the opening degree,the transportation infrastructure level,the market demand of logistics industry,and resource endowment,they had positive effects on regional logistics industry efficiency and had strong spatial dependency.
Based on the data of logistics industry from 2005 to 2015,WE used the SBM model to measure the efficiency of the logistics industry of China's 30 provinces,then studied the spatial effect of regional logistics industry efficiency and it's influencing factors. The results show that China's regional logistics industry efficiency level was low,and interregional development was uneven. The Moran's I of regional logistics industry efficiency was positive,it showed that the efficiency of China's regional logistics industry had a certain spatial agglomeration characteristic,and the correlation was positive. There were five factors: the urbanization level,the opening degree,the transportation infrastructure level,the market demand of logistics industry,and resource endowment,they had positive effects on regional logistics industry efficiency and had strong spatial dependency.
引文
[1]Hamdan A,Rogers K J.Evaluating the efficiency of 3PL logistics operations[J].International Journal of Production Economics,2008,113(1):235-244.
[2]王蕾,薛国梁,张红丽.基于DEA分析法的新疆北疆现代物流效率分析[J].资源科学,2014,36(7):1425-1433.
[3]张竟轶,张竟成.基于三阶段DEA模型的我国物流效率综合研究[J].管理世界,2016(8):178-179.
[4]张立国,李东,龚爱清.中国物流业全要素能源效率动态变动及区域差异分析[J].资源科学,2015,37(4):754-763.
[5]王维国,马越越.中国区域物流产业效率-基于三阶段DEA模型的Malmquist-luenberger指数方法[J].系统工程,2012,30(3):66-75.
[6]孟魁.基于三阶段DEA方法的中部六省物流效率评价[J].统计与决策,2014(2):57-60.
[7]王玲.我国物流产业技术效率实证研究-基于能源消耗与碳排放内生化的测度[J].软科学,2015,29(10):6-9,15.
[8]李佳佳,罗能生.中国区域环境效率的收敛性、空间溢出及成因分析[J].软科学,2016,30(8):1-5.
[9]成金华,孙琼,郭明晶,等.中国生态效率的区域差异及动态演化研究[J].中国人口·资源与环境,2014,24(1):47-54.
[10]卢燕群,袁鹏.中国省域工业生态效率及影响因素的空间计量分析[J].资源科学,2017,39(7):1326-1337.
[11]李健,刘安琦,苑清敏.考虑非期望产出的京津冀石化产业投入产出效率分析[J].干旱区资源与环境,2017,31(9):14-19.
[12]胡彪,付业腾.中国生态效率测度与空间差异实证-基于SBM模型与空间自相关性的分析[J].干旱区资源与环境,2016,30(6):6-12.
[13]Lesage J P,Pace R K.Introduction to Spatial Econometrics[M].USA:CRC Press,2009:513-514.
[14]沈能,王群伟.考虑异质性技术的环境效率评价及空间效应[J].管理工程学报,2015,29(1):162-168.
[15]Cui Q,Li Y.The evaluation of transportation energy efficiency:An application of three-stage virtual frontier DEA[J].Transportation Research Part D Transport&Environment,2014,29(6):1-11.
[16]范建平,肖慧,樊晓宏.考虑非期望产出的改进EBM-DEA三阶段模型-基于中国省际物流业效率的实证分析[J].中国管理科学,2017,25(8):166-174.
[17]张翠菊,张宗益,覃明锋.能源禀赋、技术进步与碳排放强度-基于空间计量模型的研究[J].系统工程,2016,34(11):47-53.
[2]王蕾,薛国梁,张红丽.基于DEA分析法的新疆北疆现代物流效率分析[J].资源科学,2014,36(7):1425-1433.
[3]张竟轶,张竟成.基于三阶段DEA模型的我国物流效率综合研究[J].管理世界,2016(8):178-179.
[4]张立国,李东,龚爱清.中国物流业全要素能源效率动态变动及区域差异分析[J].资源科学,2015,37(4):754-763.
[5]王维国,马越越.中国区域物流产业效率-基于三阶段DEA模型的Malmquist-luenberger指数方法[J].系统工程,2012,30(3):66-75.
[6]孟魁.基于三阶段DEA方法的中部六省物流效率评价[J].统计与决策,2014(2):57-60.
[7]王玲.我国物流产业技术效率实证研究-基于能源消耗与碳排放内生化的测度[J].软科学,2015,29(10):6-9,15.
[8]李佳佳,罗能生.中国区域环境效率的收敛性、空间溢出及成因分析[J].软科学,2016,30(8):1-5.
[9]成金华,孙琼,郭明晶,等.中国生态效率的区域差异及动态演化研究[J].中国人口·资源与环境,2014,24(1):47-54.
[10]卢燕群,袁鹏.中国省域工业生态效率及影响因素的空间计量分析[J].资源科学,2017,39(7):1326-1337.
[11]李健,刘安琦,苑清敏.考虑非期望产出的京津冀石化产业投入产出效率分析[J].干旱区资源与环境,2017,31(9):14-19.
[12]胡彪,付业腾.中国生态效率测度与空间差异实证-基于SBM模型与空间自相关性的分析[J].干旱区资源与环境,2016,30(6):6-12.
[13]Lesage J P,Pace R K.Introduction to Spatial Econometrics[M].USA:CRC Press,2009:513-514.
[14]沈能,王群伟.考虑异质性技术的环境效率评价及空间效应[J].管理工程学报,2015,29(1):162-168.
[15]Cui Q,Li Y.The evaluation of transportation energy efficiency:An application of three-stage virtual frontier DEA[J].Transportation Research Part D Transport&Environment,2014,29(6):1-11.
[16]范建平,肖慧,樊晓宏.考虑非期望产出的改进EBM-DEA三阶段模型-基于中国省际物流业效率的实证分析[J].中国管理科学,2017,25(8):166-174.
[17]张翠菊,张宗益,覃明锋.能源禀赋、技术进步与碳排放强度-基于空间计量模型的研究[J].系统工程,2016,34(11):47-53.