制造业集聚对物流业空间演化的影响研究——以江苏省为例
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摘要
运用全局熵值法计算江苏2007—2017年物流业的发展水平,在此基础上进行空间自相关分析,揭示江苏物流业的空间演化。从制造业考虑,采用计量方法分析了制造业集聚对物流业发展空间差异的影响。结果显示:近11年江苏物流业整体水平一直在提高,但各城市的发展不均衡,总体呈现南强北弱的局面。从整体看,江苏物流业发展趋于集聚分布;从局部看,形成了无锡、南通组成的高水平集聚区以及以淮安为中心的低水平集聚区。制造业的规模、人力吸引力、集聚能力、固定资产投资以及对外开放性都对物流业的发展有正向促进作用,但影响程度依次减弱;制造业主要是通过扩大物流产业规模促进物流业发展,并对物流基础设施发展有一定抑制作用。
Firstly, the global entropy method is used to calculate the development level of logistics industry in Jiangsu Province from 2007 to 2017. Based on this, spatial autocorrelation analysis is carried out to reveal the spatial evolution of logistics industry in Jiangsu Province. Finally, from the perspective of manufacturing, the measurement method empirically analyzes the impact of manufacturing agglomeration on the spatial differences in the development of the logistics industry. The results show that the overall level of the logistics industry in Jiangsu Province has been improving in the past 11 years, but the development of each city is not balanced, and the overall situation is "north weak south strong". On the whole, the development of logistics industry in Jiangsu Province tends to cluster distribution; From a local perspective,a high-level gathering area composed of Suzhou, Wuxi and Nantong and a low-level gathering area centered on Huai'an are formed. The added value of manufacturing industry, the attractiveness of manufacturing industry, the fixed assets investment in manufacturing industry, Manufacturing agglomeration capacity, and the openness of the industry all have positive effects on the development of the logistics industry, and the degree of influence is weakened in turn; The manufacturing industry mainly expands the logistics industry scale to promote the development of the logistics industry, and have a certain inhibitory effect on the development of logistics infrastructure.
Firstly, the global entropy method is used to calculate the development level of logistics industry in Jiangsu Province from 2007 to 2017. Based on this, spatial autocorrelation analysis is carried out to reveal the spatial evolution of logistics industry in Jiangsu Province. Finally, from the perspective of manufacturing, the measurement method empirically analyzes the impact of manufacturing agglomeration on the spatial differences in the development of the logistics industry. The results show that the overall level of the logistics industry in Jiangsu Province has been improving in the past 11 years, but the development of each city is not balanced, and the overall situation is "north weak south strong". On the whole, the development of logistics industry in Jiangsu Province tends to cluster distribution; From a local perspective,a high-level gathering area composed of Suzhou, Wuxi and Nantong and a low-level gathering area centered on Huai'an are formed. The added value of manufacturing industry, the attractiveness of manufacturing industry, the fixed assets investment in manufacturing industry, Manufacturing agglomeration capacity, and the openness of the industry all have positive effects on the development of the logistics industry, and the degree of influence is weakened in turn; The manufacturing industry mainly expands the logistics industry scale to promote the development of the logistics industry, and have a certain inhibitory effect on the development of logistics infrastructure.
引文
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[19] 王桂花,李南.制造业集群对物流外包发展的影响分析[J].企业经济,2008(1):113-116.
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[21] 梁红艳,王健.中国制造业物流外包的生产率效应分析[J].中国流通经济,2013,27(4):30-38.
[22] 樊秀峰,康晓琴.陕西省制造业产业集聚度测算及其影响因素实证分析[J].经济地理,2013,33(9):115-120.
[23] 尹希果,刘培森.城市化、交通基础设施对制造业集聚的空间效应[J].城市问题,2014(11):13-20.
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[25] 苏飞,张平宇.基于集对分析的大庆市经济系统脆弱性评价[J].地理学报,2010,65(4):454-464.
[2] 周跃进,陈国华.物流网络规划[M].北京:清华大学出版社,2008:15.
[3] JING N,CAI W X.Analysis on the Spatial Distribution of Logistics Industry in the Developed East Coast Area in China[J].The Annals of Regional Science,2010,45(2):331-350.
[4] 赵磊,方成,黄武龙.浙江省县域经济发展差异时空演变分析[J].华东经济管理,2014,28(3):6-11.
[5] 张定,曹卫东,朱胜清.安徽省物流与经济时空耦合研究[J].地域研究与开发,2014,33(3):27-32.
[6] 梁双波,曹有挥,吴威.长江三角洲地区物流供应链时空演化及其影响因素——基于国际货代企业数据的分析[J].地理研究,2017,36(11):2156-2170.
[7] 朱慧,周根贵.国际陆港物流企业空间格局演化及其影响因素——以义乌市为例[J].经济地理,2017,37(2):98-105.
[8] 邱莹,施先亮,马依彤.北京市食品冷链物流时空分布特征及变迁[J].地域研究与开发,2018,37(4):32-36.
[9] Anonymous.Research and Markets:Gain An Analytical Insight into the Major Factors Affecting the Czech Republic Logistics Market,Both Currently and in the Future[J].M2 Presswire,2008,53(6):89-102.
[10] WAN F J.Study on the Influence Factors of Logistics Demand in China Based on Grey Correlation Degree Model[J].China-USA Business Review,2017,16(6):279-286.
[11] 胡燕燕,曹卫东,黄琪.合肥市物流空间区位特征与形成机理[J].地域研究与开发,2016,35(3):58-62.
[12] 王健,刘荷.区域物流发展的影响因素研究——基于福建省的实证分析[J].华东经济管理,2014,28(3):22-27.
[13] 张林,董千里,申亮.节点城市物流产业与区域经济的协同发展研究——基于全国性物流节点城市面板数据[J].华东经济管理,2015,29(2):67-73.
[14] 唐建荣,张鑫和.物流业发展的时空演化、驱动因素及溢出效应研究——基于中国省域面板数据的空间计量分析[J].财贸研究,2017,28(5):11-21.
[15] KE S Z,HE M,YUAN C H.Synergy and Co-agglomeration of Producer Services and Manufacturing:A Panel Data Analysis of Chinese Cities[J].Regional Studies,2014,48(11):1829-1841.
[16] ZHANG R,JU C H.An Empirical Study on the Correlation and Coordination Degree of Linkage Development between Manufacturing and Logistics[J].Journal of Software,2012,7(12):2800-2807.
[17] 王珍珍.基于共生度模型的长江经济带制造业与物流业协同发展研究[J].管理学刊,2017,30(5):34-46.
[18] 霍鹏,魏修建.制造业与物流业互动融合的研究——基于八大综合经济区数据的实证分析[J].华东经济管理,2017,31(4):66-73.
[19] 王桂花,李南.制造业集群对物流外包发展的影响分析[J].企业经济,2008(1):113-116.
[20] 夏训嘉,廖馨.对制造业物流组织演变影响因素的探讨[J].湖南社会科学,2012(2):146-148.
[21] 梁红艳,王健.中国制造业物流外包的生产率效应分析[J].中国流通经济,2013,27(4):30-38.
[22] 樊秀峰,康晓琴.陕西省制造业产业集聚度测算及其影响因素实证分析[J].经济地理,2013,33(9):115-120.
[23] 尹希果,刘培森.城市化、交通基础设施对制造业集聚的空间效应[J].城市问题,2014(11):13-20.
[24] HWANG C L,YOON K.Multiple Attribute Decision Making[M].Berlin:Spring-Verlag,1981:76.
[25] 苏飞,张平宇.基于集对分析的大庆市经济系统脆弱性评价[J].地理学报,2010,65(4):454-464.
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