物流产业效率与交通优势度耦合协调水平测度——以中国36个主要城市为例
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摘要
构建了物流产业效率与交通优势度评价指标体系;基于产出导向的数据包络分析模型,测算了物流产业效率;引入耦合协调度模型,测算了物流产业效率与交通优势度的耦合协调水平,并对36个城市进行了实证分析。结果显示:中国主要城市的物流产业效率存在着较为明显的地域差异,综合效率均值为0. 845,规模效率均值为0. 941,纯技术效率均值为0. 897,纯技术效率是影响综合效率的主要因素;中国主要城市的物流产业效率与交通优势度总体上处于协调状态,武汉市物流产业效率与交通优势度的耦合程度最高,达0. 958。认为提升物流产业效率,对货物进行高效的运输管理,进而减少出行载货车辆数及出行次数,有助于缓解交通运输压力;交通基础设施、骨干路网的不断完善可有效促进物流业的进一步发展。
On the basis of constructing the index system of traffic superiority and efficiency of logistics industry,this essay uses output-oriented DEA Two-stage Method to estimate the efficiency of logistics industry,and introduces the coupling coordination model to measure the spatial coupling between transport superiority and efficiency of logistics industry quantitatively. Finally,this essay takes 36 Chinese major cities as an example. The result shows that there are obvious geographical differences in the efficiency of the logistics industry in Chinese major cities,and the overall average efficiency of the logistics industry is 0. 845, the average value of scale efficiency is 0. 941,the average value of pure technical efficiency is 0. 897,pure technical efficiency is the main factor that affecting the overall efficiency; the traffic superiority and efficiency of logistics industry are in a state of coordination. The degree of coupling between Wuhan's traffic superiority and efficiency of logistics industry is the highest,the value reaching 0. 958. It is concluded that improving the efficiency of the logistics industry and carrying out efficient transportation management of the goods,and thus reducing the number of traveled vehicles and the number of trips,can help ease the pressure of transportation furtherly,and that the improvement of the road network and the input of infrastructure can promote the further development of the logistics industry,that is,the two are complementary.
On the basis of constructing the index system of traffic superiority and efficiency of logistics industry,this essay uses output-oriented DEA Two-stage Method to estimate the efficiency of logistics industry,and introduces the coupling coordination model to measure the spatial coupling between transport superiority and efficiency of logistics industry quantitatively. Finally,this essay takes 36 Chinese major cities as an example. The result shows that there are obvious geographical differences in the efficiency of the logistics industry in Chinese major cities,and the overall average efficiency of the logistics industry is 0. 845, the average value of scale efficiency is 0. 941,the average value of pure technical efficiency is 0. 897,pure technical efficiency is the main factor that affecting the overall efficiency; the traffic superiority and efficiency of logistics industry are in a state of coordination. The degree of coupling between Wuhan's traffic superiority and efficiency of logistics industry is the highest,the value reaching 0. 958. It is concluded that improving the efficiency of the logistics industry and carrying out efficient transportation management of the goods,and thus reducing the number of traveled vehicles and the number of trips,can help ease the pressure of transportation furtherly,and that the improvement of the road network and the input of infrastructure can promote the further development of the logistics industry,that is,the two are complementary.
引文
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[17]戢晓峰,姜莉,陈方.云南省县域城镇化与交通优势度的时空协同性演化分析[J].地理科学,2017(12):1875-1884
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[20]谯博文,王艳慧,段福洲.连片特困区交通优势度评价及其与贫困关系研究---以武陵山片区及其周边四省为例[J].资源开发与市场,2014(8):924-928
[21]孙威,张有坤.山西省交通优势度评价[J].地理科学进展,2010(12):1562-1569
[22]周鹏,白永平,马卫.县域交通优势度与经济潜能测度及空间格局演变研究[J].地域研究与开发,2015(5):42-46
[2]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(4):754-763
[3]贾向南,李梦.基于两阶段DEA的副省级城市物流效率测度实证分析[J].物流工程与管理,2015(3):16-19
[4]曾倩琳,孙秋碧.信息化、空间溢出效应与物流业生产率的提升[J].交通运输系统工程与信息,2017(1):40-46
[5]余泳泽,武鹏.我国物流产业效率及其影响因素的实证研究---基于中国省级数据的随机前沿生产函数分析[J].产业经济研究,2010(1):65-71
[6]金凤君,王成金,李秀伟.中国区域交通优势的甄别方法及应用分析[J].地理学报,2008(8):787-798.
[7]许泽明.云南省县域交通优势度评价[D].青海师范大学,2015
[8]程佳佳,王成金,刘卫东.西北地区交通优势度格局及空间分异[J].地球科学进展,2016(2):192-205
[9]吴威等.长三角地区交通优势度的空间格局[J].地理研究,2011(12):2199-2208
[10]孟德友,沈惊宏,陆玉麒.河南省县域交通优势度综合评价及空间格局演变[J].地理科学,2014(3):280-287
[11]荣朝和.交通-物流时间价值及其在经济时空分析中的作用[J].经济研究,2011(8):133-146
[12]赵振华.山东半岛人口和产业布局适宜性评价[J].地域研究与开发,2017(2):45-50
[13]王保乾,罗伟峰.国家创新型城市创新绩效评估---以长三角地区为例[J].城市问题,2018(1):34-40
[14]高詹.城市物流效率及其空间溢出效应---以河南省为例[J].城市问题,2014(7):62-68
[15]Wei Quanling.Effective methods on evaluating relative efficiency(DEA)[J].Chinese Science Bulletin,2000(17):1793-1807
[16]张新等.省级主体功能区划的交通优势度的分析与应用---以河北省为例[J].地球信息科学学报,2011(2):170-176
[17]戢晓峰,姜莉,陈方.云南省县域城镇化与交通优势度的时空协同性演化分析[J].地理科学,2017(12):1875-1884
[18]陈永林等.县域交通优势度与经济发展的空间关联---以江西省为例[J].地域研究与开发,2014(5):21-26
[19]周博等.交通优势度和经济发展的耦合协调关系研究---以广东省为例[J].华南师范大学学报(自然科学版),2017(5):1-9
[20]谯博文,王艳慧,段福洲.连片特困区交通优势度评价及其与贫困关系研究---以武陵山片区及其周边四省为例[J].资源开发与市场,2014(8):924-928
[21]孙威,张有坤.山西省交通优势度评价[J].地理科学进展,2010(12):1562-1569
[22]周鹏,白永平,马卫.县域交通优势度与经济潜能测度及空间格局演变研究[J].地域研究与开发,2015(5):42-46