nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo searchdiv qikanlogo popupnotification paper paperNew
2025, 03, v.41 72-81
石家庄市跨境电商企业与制造业企业地理共聚分析
基金项目(Foundation): 国家自然科学基金项目(41671127); 河北省高校人文社会科学研究重大课题攻关项目(ZD202302)
邮箱(Email): widjh@163.com;
DOI:
摘要:

电子商务与传统产业的关联关系是探究区域电商发展能力的重要视角,企业地理共聚是产业间关联的重要体现。该文利用2004—2022年河北省石家庄市跨境电商企业和制造业企业数据,采用核密度、区位熵、地理共聚指数分析县区尺度下两类企业的集聚特征及地理共聚特点。结果表明:(1)石家庄市跨境电商企业空间集聚特征明显,呈现出由单核心向多核心结构演化的空间裂变式增长,东中西部优势企业类型多且差异显著。(2)石家庄市制造业企业集聚态势明显且集聚范围不断扩大,呈现集中连片式增长;制造业企业集聚优势类型以劳动密集型为主,资金技术密集型企业主要集聚在中部,资源密集型企业集聚程度最弱且主要位于西部。(3)石家庄市两类企业地理共聚水平差异明显,中东部县区共聚水平整体高于西部且大多数县区呈现波动发展;中东部县区五金工具类、纺织服饰类、工业设备类和冶金化工类的跨境电商企业与相应制造业企业共聚程度较强,而西部县区仅以纺织服饰类和工业设备类企业共聚为主。探究跨境电商企业与制造业企业地理共聚对于分析两者关联关系及电商发展能力对区域产业外向性影响具有一定指导意义。

Abstract:

The association between e-commerce and traditional industries is an important perspective to explore the development capability of regional e-commerce, and the geographic co-agglomeration of enterprises is an important embodiment of inter-industry association.Based on the data of cross-border e-commerce enterprises and manufacturing enterprises in Shijiazhuang, Hebei Province from 2004 to 2022,this paper analyzes the agglomeration level and geographic co-agglomeration characteristics of the two types of enterprises at the county scale by using the kernel density method, location entropy method and geographic co-agglomeration index.It is found as follows.(1) The spatial agglomeration characteristics of cross-border e-commerce enterprises in Shijiazhuang are obvious and the number of agglomeration areas is increasing, showing the spatial fission growth from a major centre to the multi-centre structure.The central counties and districts have the most obvious advantages in the agglomeration of industrial equipment enterprises, while that in the eastern counties and districts are textile and clothing, hardware and tools, and light industry and daily-use enterprises, and in the western counties and districts are textile and clothing enterprises.(2) The agglomeration of manufacturing enterprises is equally obvious and the scope of agglomeration is expanding, showing a concentrated contiguous growth.The advantage types of agglomeration enterprises in each county and district are mainly labor-intensive enterprises, capital and technology-intensive enterprises are mainly concentrated in the central counties and districts, resource-intensive enterprises have the weakest agglomeration degree and are mostly in the western counties and districts.(3) The geographic co-agglomeration level of the two types of enterprises in each county and district of Shijiazhuang is obviously different.The geographic co-agglomeration level in the central and eastern counties and districts is higher than that in the western counties and districts as a whole.In the central and eastern counties and districts, the cross-border e-commerce enterprises of hardware and tools, textile and clothing, industrial equipment and metallurgy and chemical industries have a high level of co-agglomeration with the corresponding manufacturing enterprises, while the western counties and districts are only dominated by the co-agglomeration of cross-border e-commerce enterprises and manufacturing enterprises in textile and clothing and industrial equipment industries.Exploring the geographic co-agglomeration of cross-border e-commerce enterprises and manufacturing enterprises has certain guiding significance for analyzing the relationship between the two types of enterprises and the impact of e-commerce development on regional industrial outward orientation.

参考文献

[1] 贺灿飞,任卓然,吴婉金.产品动态技术关联与中国出口产业地理共聚[J].地理研究,2023,42(9):2283-2301.

[2] 贺灿飞,任卓然,叶雅玲.中国产业地理集聚与区域出口经济复杂度[J].地理研究,2021,40(8):2119-2140.

[3] DIODATO D,NEFFKE F,O′CLERY N.Why do industries co-agglomerate?How Marshallian externalities differ by industry and have evolved over time[J].Journal of Urban Economics,2018,106:1-26.

[4] 李振发,贺灿飞,黎斌.中国出口产品地区专业化[J].地理科学进展,2018,37(7):963-975.

[5] ELLISON G,GLAESER E L,KERR W R.What causes industry agglomeration?Evidence from co-agglomeration patterns[J].The American Economic Review,2010,100(3):1195-1213.

[6] 冯鹏飞,申玉铭,曾春水.北京生产性服务业与电子信息制造业共同集聚特征及影响因素[J].城市发展研究,2019,26(9):125-132.

[7] WOUTER J,A R H K,FRANK O V.Co-agglomeration of knowledge-intensive business services and multinational enterprises[J].Journal of Economic Geography,2013,14(2):443-475.

[8] ELLISON G,GLAESER E L.Geographic concentration in U.S.manufacturing industries:a dartboard approach[J].Journal of Political Economy,1997,105(5):889-927.

[9] SALVADOR B,LUISITO B,ERIC S.Coagglomeration and spillovers[J].Regional Science and Urban Economics,2006,36(4):467-481.

[10] BEHRENS K,BOUGNA T.An anatomy of the geographical concentration of Canadian manufacturing industries[J].Regional Science and Urban Economics,2015,51:47-69.

[11] 张丽虹,武文光.我国整车与零部件产业共聚的空间分布研究[J].工业技术经济,2015,34(3):119-130.

[12] 陈曦,朱建华,李国平.中国制造业产业间协同集聚的区域差异及其影响因素[J].经济地理,2018,38(12):104-110.

[13] 王玲,李悦晴.城市群视域下我国物流业与制造业双向共聚水平的测度及其空间特征[J].经济地理,2023,43(5):128-138.

[14] 朱慧,周根贵,任国岩.制造业与物流业的空间共同集聚研究:以中部六省为例[J].经济地理,2015,35(11):117-124.

[15] 刘志东,高洪玮.中国制造业集聚的演变特征及其影响因素:基于空间面板模型的实证研究[J].经济地理,2021,41(12):33-42.

[16] HOLMES T J.Localization of industry and vertical disintegration[J].Review of Economics and Statistics,1999,81(2):314-325.

[17] 路江涌,陶志刚.中国制造业区域聚集及国际比较[J].经济研究,2006(3):103-114.

[18] 王静田,张宝懿,付晓东.产业协同集聚对城市全要素生产率的影响研究[J].科学学研究,2021,39(5):842-853.

[19] 陈露,刘修岩.产业空间共聚与企业全要素生产率[J].现代经济探讨,2021(10):88-97.

[20] 陈露,刘修岩.产业空间共聚、知识溢出与创新绩效:兼议区域产业多样化集群建设路径[J].经济研究,2024,59(4):78-95.

[21] 张可,毛金祥.产业共聚、区域创新与空间溢出:基于长三角地区的实证分析[J].华中科技大学学报(社会科学版),2018,32(4):76-88.

[22] WANG H J,SU X,LIU J M.The spatial spillover effect of logistics and manufacturing co-agglomeration on regional economic resilience:evidence from China′s provincial panel data[J].Sustainability,2023,15(10):8208.

[23] PENG C,ELAHI E,FAN B B,et al.Effect of high-tech manufacturing co-agglomeration and producer service industry on regional innovation efficiency[J].Frontiers in Environmental Science,2022,10.https://doi.org/10.3389/fenvs.2022.942057.

[24] 唐梦琳,仇方道.基于“企业—行业—开发区”的淮海经济区产业空间集聚特征[J].地理与地理信息科学,2024,40(4):67-73.

[25] 朱晟君,金文纨,胡晓辉.关联视角下的区域产业动态研究进展与反思[J].地理研究,2020,39(5):1045-1055.

[26] 李小建.经济地理学中的企业网络研究[J].经济地理,2002,22(5):516-520.

[27] THOMPSON P,FOX-KEAN M.Patent citations and the geography of knowledge spillovers:a reassessment[J].The American Economic Review,2005,95(1):450-460.

[28] 贺灿飞,朱晟君.中国产业发展与布局的关联法则[J].地理学报,2020,75(12):2684-2698.

[29] 王明杰,颜梓晗,余斌,等.电子商务专业村空间格局演化及影响因素研究:基于2015—2020年中国淘宝村数据[J].地理科学进展,2022,41(5):838-853.

[30] 王运喆,张国俊,周春山.中国城市群产业协同集聚的时空特征及影响因素[J].世界地理研究,2023,32(2):104-114.

[31] 贺灿飞,潘峰华,孙蕾.中国制造业的地理集聚与形成机制[J].地理学报,2007,62(12):1253-1264.

基本信息:

DOI:

中图分类号:F724.6;F425

引用信息:

[1]付秋涛,丁疆辉,张诗晗等.石家庄市跨境电商企业与制造业企业地理共聚分析[J].地理与地理信息科学,2025,41(03):72-81.

基金信息:

国家自然科学基金项目(41671127); 河北省高校人文社会科学研究重大课题攻关项目(ZD202302)

检 索 高级检索

引用

GB/T 7714-2015 格式引文
MLA格式引文
APA格式引文