电子商务对制造业与物流业协同集聚的影响——基于浙江省设区市面板数据的实证
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摘要
构造产业协同集聚E-G指数,利用2011—2016年浙江省11个设区市数据,对制造业与物流业的协同集聚程度进行测算,并利用随机效应模型研究电子商务相关因素对制造业与物流业协同集聚的影响机理。研究结果表明:浙江省各市存在不同程度的制造业与物流业协同集聚状况,杭州、宁波、温州和金华地区协同集聚程度较高;电子商务水平、跨境电商交易、两化融合水平、快递物流行业水平和电子商务用户基础等因素对制造业与物流业协同集聚均具有显著正效应。根据实证分析结果,就电子商务驱动浙江省制造业与物流业协同发展提出相应的政策建议。
This paper constructs an industry co-agglomeration E-G index,using the data of 11 districts and cities in Zhejiang Province from 2011 to 2016,measures the degree of synergy between manufacturing industry and logistics industry,and uses the random effect model to study e-commerce related factors for manufacturing and the impact mechanism of the co-agglomeration of the logistics industry.The results show that there are different levels of synergy between manufacturing and logistics in Zhejiang,and the degree of synergy between Hangzhou,Ningbo,Wenzhou and Jinhua is high;e-commerce level,cross-border e-commerce transactions,integration level,express delivery factors such as logistics industry level and e-commerce user base have significant positive effects on the synergy of manufacturing industry and logistics industry.According to the results of empirical analysis,the corresponding policy recommendations are proposed for the co-ordinated development of Zhejiang manufacturing industry and logistics industry.
This paper constructs an industry co-agglomeration E-G index,using the data of 11 districts and cities in Zhejiang Province from 2011 to 2016,measures the degree of synergy between manufacturing industry and logistics industry,and uses the random effect model to study e-commerce related factors for manufacturing and the impact mechanism of the co-agglomeration of the logistics industry.The results show that there are different levels of synergy between manufacturing and logistics in Zhejiang,and the degree of synergy between Hangzhou,Ningbo,Wenzhou and Jinhua is high;e-commerce level,cross-border e-commerce transactions,integration level,express delivery factors such as logistics industry level and e-commerce user base have significant positive effects on the synergy of manufacturing industry and logistics industry.According to the results of empirical analysis,the corresponding policy recommendations are proposed for the co-ordinated development of Zhejiang manufacturing industry and logistics industry.
引文
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[2]KOH H-J,RIEDEL N.Assessing the localization pattern of German manufacturing and service industries:a distance-based approach[J].Regional Studies,2014,48(5):823-843.
[3]江曼琦,席强敏.生产性服务业与制造业的产业关联与协同集聚[J].南开学报(哲学社会科学版),2014(1):153-160.
[4]ALONSO-VILLAR O,CHAMORRO-RIVAS J-M.How do producer services affect the location of manufacturing firms?The role of information accessibility[J].Environment&Planning A,2001,33(9):1621-1642.
[5]谭洪波.生产者服务业与制造业的空间集聚[J].世界经济,2015(3):171-192.
[6]马洪生,赵放.制造业与物流业协同集聚研究综述:内涵、特征、机理及实证研究[J].物流技术,2016(12):1-5.
[7]陈建军,陈菁菁.生产性服务业与制造业的协同定位研究:以浙江省69个城市和地区为例[J].中国工业经济,2011(6):141-150.
[8]甘丽娟.中国城市生产性服务业与制造业协同集聚的测度及影响因素研究[D].兰州:西北师范大学,2016.
[9]陈晓峰,陈昭锋.生产性服务业与制造业协同集聚的水平及效应:来自中国东部沿海地区的经验证据[J].财贸研究,2014(2):49-57.
[10]NIELSEN M M,HENNERDAL P.MAUPing workplace clusters[J].Growth&Change,2014,45(2):211-221.
[11]赵放.制造业与物流业的空间协同集聚及其增长效应研究[D].天津:南开大学,2012.
[12]张建奇.基于集聚外部性理论的制造业与物流业空间协同集聚研究[J].物流技术,2017(11):44-49.
[13]毛园芳.电子商务提升产业集群竞争优势机制案例研究[J].经济地理,2010(10):1681-1687.
[14]陶安,覃艳华,曹细玉.电子商务环境下产业集群竞争优势影响因素研究:基于珠三角传统产业集群的实证研究[J].科技管理研究,2014(14):149-154.
[15]MUKIM M.Coagglomeration of formal and informal industry:evidence from India[J].Journal of Economic Geography,2015,15(2):329-351.
[16]张文君.基于E-G指数的我国制造业产业集聚度比较[J].华北电力大学学报(社会科学版),2012(2):32-35.
[17]DEVEREUX M P,GRIFFITH R,SIMPSON H.The geographic distribution of production activity in the UK[J].Regional Science&Urban Economics,2004,34(5):533-564.
[18]胡艳,朱文霞.基于生产性服务业的产业协同集聚效应研究[J].产经评论,2015(2):5-14.
[19]张宁,陈晴旖.电子商务发展对物流经济促进作用实证研究[J].价格月刊,2013(3):39-42.
[20]李敏.EViews统计分析与应用[M].北京:电子工业出版社,2011.