物流技术创新对物流业的影响测度与路径分析——基于2000—2015年省际空间杜宾面板数据模型
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摘要
物流技术创新有助于降低成本、提高效率,为更好地获取前沿知识与技术,进而提升运输、仓储、包装等作业效率,现代物流业在开展物流服务模式创新的同时必须进行技术创新。基于物流技术创新对物流业影响的"内驱—外溢—需求—距离"研究框架,利用2000—2015年中国大陆地区省际面板数据进行地理邻近与技术邻近视角下的空间计量分析发现,技术邻近导向的区域内(外)物流技术创新对区域物流货运市场需求具有显著正向内驱(外溢)作用;技术邻近或地理邻近导向的区域内(外)物流技术创新对区域物流运输距离具有显著内驱(外溢)作用;区域物流货运市场需求存在一定的空间溢出现象,且正向外溢作用显著;区域物流运输距离存在一定的空间溢出现象,且正向外溢作用不显著。因此,为更好地推动物流业转型升级,政府部门应制定兼顾物流业区域内和区域外技术创新的"双驱"政策,在推动区域内物流技术升级、提升区域内物流技术水平的同时,吸引区域外物流技术,提升物流业创新主体跨区域合作意愿,引导物流业创新主体跨界协同。此外,为推动现代物流业朝高需求、高作业效率方向发展,还要鼓励区域内产、学、研等创新主体开展物流技术自主创新,支持区域内物流企业向相似性较高的其他省份创新主体学习,进行模仿式创新,利用新技术、新知识吸引顾客,提升区域内物流市场需求,并对流入的外部知识进行消化吸收再创新,与毗邻区域开展物流运输及相关技术协同创新,提高毗邻区域中转能力,延长运输距离。
In order to clear the problem that the logistics technology innovation impact on the logistics industry,based on the causal logic our paper build the "driving-demand-spillover-distance" research framework,while we design the latent variables consist of regional(internal and external)logistics technology innovation,demand of regional logistics freight and regional logistics transport distance. Then under the interaction of adjacent between the proximity of geographical and technology,we use the Space Durbin Panel Data Econometric Model(SDPDM)to carry out the empirical study based on provincial panel data in China from 2000 to 2015. The results showed that:under the technology proximity,the internal regional logistics technology innovation has significant positive internal drive to the freight demand of regional logistics market while the external of it has the significant positive spillover to the freight demand of regional logistics market:Under the technology adjacent,the internal regional logistics technology innovation has significant positive internal drive to regional logistics transportation distance;In contrast,the external of regional logistics technology innovation has the significant positive spillover to the regional logistics transportation distance under the geographical proximity;Regional logistics freight market demand and regional logistics transport distance are both existing the certain the spatial spillover,but the positive spillover effect of regional logistics freight market is significant while the regional logistics transport distance is not significant. Based on the above analysis,this article clarifies the route that logistics technology innovation impact on the logistics industry,and provides the policy for transformation and upgrading of the logistics industry.
In order to clear the problem that the logistics technology innovation impact on the logistics industry,based on the causal logic our paper build the "driving-demand-spillover-distance" research framework,while we design the latent variables consist of regional(internal and external)logistics technology innovation,demand of regional logistics freight and regional logistics transport distance. Then under the interaction of adjacent between the proximity of geographical and technology,we use the Space Durbin Panel Data Econometric Model(SDPDM)to carry out the empirical study based on provincial panel data in China from 2000 to 2015. The results showed that:under the technology proximity,the internal regional logistics technology innovation has significant positive internal drive to the freight demand of regional logistics market while the external of it has the significant positive spillover to the freight demand of regional logistics market:Under the technology adjacent,the internal regional logistics technology innovation has significant positive internal drive to regional logistics transportation distance;In contrast,the external of regional logistics technology innovation has the significant positive spillover to the regional logistics transportation distance under the geographical proximity;Regional logistics freight market demand and regional logistics transport distance are both existing the certain the spatial spillover,but the positive spillover effect of regional logistics freight market is significant while the regional logistics transport distance is not significant. Based on the above analysis,this article clarifies the route that logistics technology innovation impact on the logistics industry,and provides the policy for transformation and upgrading of the logistics industry.
引文
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[23]谢泗薪,张文华.物流产业集群中技术创新链的动力强化机制与演进路径[J].价格月刊,2014(2):55-59.
[24]麦秋玲,王耀球.我国经济转型期物流技术的创新与发展[J].物流技术,2013,32(5):30-32.
[25]尹静,平新乔.中国地区(制造业行业)间的技术溢出分析[J].产业经济研究,2006(1):1-10、68.
[26]吴玉鸣.旅游经济增长及其溢出效应的空间面板计量经济分析[J].旅游学刊,2014,29(2):16-24.
[27]JAFFE A B.Technological opportunity and spillovers of R&D:evidence from firms'patents,profits,and market values[J].American economic review,1986,76(5):984-1 001.
[28]ANDERSEN B.The hunt for S-shaped growth paths in technological innovation:a patent study[J].Journal of evolutionary economics,1999,9(4):487-526.
[29]刘韧,鞠颂东,衣春光.在物流中的技术创新和知识产权——RFID技术应用案例研究[J].中国软科学,2007(6):106-110.
[30]何国华.区域物流需求预测及灰色预测模型的应用[J].北京交通大学学报(社会科学版),2008(1):33-37.
[31]后锐,张毕西.基于MLP神经网络的区域物流需求预测方法及其应用[J].系统工程理论与实践,2005(12):43-47.
[32]GOR A S,JHAVERI C A,SHAH N H.Optimal pricing and ordering policy for an integrated inventory model with quadratic demand when trade credit linked to order quantity[J].Journal of modelling in management,2012,7(2):148-165.
[33]颜辉.周转量在物流运输成本分析中的应用[J].工业工程,2010(1):108-111.
[2]申向阳.现阶段物流企业技术创新的必要性研究[J].物流技术,2008,27(11):48-49、59.
[3]张红波.不确定环境下我国物流企业技术创新的动因分析[J].决策咨询,2012(6):31-35.
[4]汪传雷,王艳,李从春.基于专利地图的物流识别标识技术创新研究[J].中国科技论坛,2014(10):28-34.
[5]陈海.基于信息技术的物流创新路径研究[J].物流工程与管理,2015,37(3):101-104.
[6]周云.物流供应链管理技术的发展创新与应用[J].企业改革与管理,2015(7):23.
[7]HAZEN B T,BYRD T A.Toward creating competitive advantage with logistics information technology[J].International journal of physical distribution&logistics management,2012,42(1):8-35.
[8]张文斌.技术创新背景下的电商与物流协同发展模式研究[J].经济研究导刊,2014(29):58-61.
[9]李娇.物联网背景下物流企业技术创新管理[J].现代商业,2016(21):134-135.
[10]秦新生.物流产业技术创新生态系统协同研究[J].物流工程与管理,2015,37(7):16-18、50.
[11]孙庆峰,鲁瑞娟.物流技术创新与制度安排刍议[J].交通企业管理,2010(11):20-21.
[12]李春成,赵莉晓.基于技术导向的天津现代物流业创新政策研究[J].技术经济,2009,28(2):107-112.
[13]王艳,胡梦文.安徽省物流业技术创新的对策研究——基于利益相关者的视角[J].经营管理者,2014(24):114-115.
[14]徐遂.技术创新助推绿色物流发展[J].中国物流与采购,2015(24):78.
[15]胡玉霞.技术联盟推动泉州物流产业集群发展的路径与机制[J].泉州师范学院学报,2015(3):26-32.
[16]GOLDSBY T J,ZINN W.Technology innovation and new business models:can logistics and supply chain research accelerate the evolution?[J].Journal of business logistics,2016,37(2):80-81.
[17]刘灿慧,孙朋杰.技术创新与商业模式创新的协同机制研究[J].中国商论,2014(7):50-51.
[18]HIDALGO A,LóPEZ V.Drivers and impacts of ICT adoption on transport and logistics services[J].Asian journal of technology innovation,2009,17(2):27-47.
[19]卓泓良,王威峰,段玉.基于创新驱动的北部湾港口物流高效率发展模式研究[J].市场论坛,2016(6):28-31.
[20]王毅.以技术创新推动物流品牌成长——2006中国物流创新大会侧记[J].综合运输,2006(10):90.
[21]覃伟赋.浅析计算机技术应用对现代物流企业发展进程的影响[J].西部交通科技,2015(1):74-77.
[22]王瑛.技术创新对物流企业组织形式的影响研究[J].科技进步与对策,2005(2):106-107.
[23]谢泗薪,张文华.物流产业集群中技术创新链的动力强化机制与演进路径[J].价格月刊,2014(2):55-59.
[24]麦秋玲,王耀球.我国经济转型期物流技术的创新与发展[J].物流技术,2013,32(5):30-32.
[25]尹静,平新乔.中国地区(制造业行业)间的技术溢出分析[J].产业经济研究,2006(1):1-10、68.
[26]吴玉鸣.旅游经济增长及其溢出效应的空间面板计量经济分析[J].旅游学刊,2014,29(2):16-24.
[27]JAFFE A B.Technological opportunity and spillovers of R&D:evidence from firms'patents,profits,and market values[J].American economic review,1986,76(5):984-1 001.
[28]ANDERSEN B.The hunt for S-shaped growth paths in technological innovation:a patent study[J].Journal of evolutionary economics,1999,9(4):487-526.
[29]刘韧,鞠颂东,衣春光.在物流中的技术创新和知识产权——RFID技术应用案例研究[J].中国软科学,2007(6):106-110.
[30]何国华.区域物流需求预测及灰色预测模型的应用[J].北京交通大学学报(社会科学版),2008(1):33-37.
[31]后锐,张毕西.基于MLP神经网络的区域物流需求预测方法及其应用[J].系统工程理论与实践,2005(12):43-47.
[32]GOR A S,JHAVERI C A,SHAH N H.Optimal pricing and ordering policy for an integrated inventory model with quadratic demand when trade credit linked to order quantity[J].Journal of modelling in management,2012,7(2):148-165.
[33]颜辉.周转量在物流运输成本分析中的应用[J].工业工程,2010(1):108-111.