我国跨境电商与产业集群协同发展的机理与路径研究
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摘要
本文在产业集群转型升级相关理论的基础上,从系统论视角提出了跨境电商与产业集群协同发展的机理及路径假设,构建了影响两个子系统的8个潜变量指标,对272家产业集群内跨境电商企业开展问卷调查,运用结构方程模型实证分析了跨境电商与产业集群之间的协同关系。结果表明:(1)跨境电商子系统与产业集群子系统之间的标准化路径系数为0. 348,且在0. 05的水平下显著,即两个子系统的发展具有显著的正向关联性;(2)两个子系统的潜变量之间的标准化路径系数在0. 05的显著性水平下均不等于0,即两个子系统通过主体要素、客体要素及外部环境的演化,促进自身提升和两者的协同发展。因此,跨境电商和产业集群协同发展的机理和假设路径是成立的,通过跨境电商与产业集群的协同发展促进产业集群与对外贸易的转型升级是可行的。
Based on the theory of industrial cluster transformation and upgrading,and from the perspective of system theory,this paper puts forward the mechanism and path hypothesis of synergetic development between cross-border e-commerce and industrial cluster,and it constructs 8 latent variables that affect two subsystems. During the research,questionnaire survey is conducted with 272 cross-border e-commerce enterprises in industrial clusters by using SEM to analyze the synergy between cross-border e-commerce and industrial cluster. The research findings show:( 1) the standardized path coefficient between cross-border e-commerce and industrial cluster is 0. 348,significant at the level of 0. 05,which means the development of the two subsystems has a significant positive correlation.( 2) the standardized path coefficients between the latent variables of the two subsystems are not equal to 0 at the significant level of 0. 05,which means two subsystems as mentioned above can promote self-improvement and synergetic development through the evolution of the main elements,the object elements and the external environment. Therefore,the research findings verify that the mechanism and the path hypothesis of the synergetic development between cross-border e-commerce and industrial cluster are practicable. And they also confirm the feasibility to promote the transformation,and upgrading of industrial clusters and foreign trade through the synergetic development between cross-border e-commerce and industrial cluster.
Based on the theory of industrial cluster transformation and upgrading,and from the perspective of system theory,this paper puts forward the mechanism and path hypothesis of synergetic development between cross-border e-commerce and industrial cluster,and it constructs 8 latent variables that affect two subsystems. During the research,questionnaire survey is conducted with 272 cross-border e-commerce enterprises in industrial clusters by using SEM to analyze the synergy between cross-border e-commerce and industrial cluster. The research findings show:( 1) the standardized path coefficient between cross-border e-commerce and industrial cluster is 0. 348,significant at the level of 0. 05,which means the development of the two subsystems has a significant positive correlation.( 2) the standardized path coefficients between the latent variables of the two subsystems are not equal to 0 at the significant level of 0. 05,which means two subsystems as mentioned above can promote self-improvement and synergetic development through the evolution of the main elements,the object elements and the external environment. Therefore,the research findings verify that the mechanism and the path hypothesis of the synergetic development between cross-border e-commerce and industrial cluster are practicable. And they also confirm the feasibility to promote the transformation,and upgrading of industrial clusters and foreign trade through the synergetic development between cross-border e-commerce and industrial cluster.
引文
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[19]KRUGMAN,PAUL. Increasing Returns and Economic Geography[J]. Journal of Political Economy,1991,99(3):483-499.
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[2]李虹.传统产业集群电子商务转型的模式构建研究[J].中国商贸,2015(13):51-54.
[3]罗勇,曹丽莉.全球价值链视角下我国产业集群升级的思路[J].国际贸易问题,2008(11):92-98.
[4]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.
[5]王缉慈.我国制造业集群分布现状及其发展特征[J].地域研究与开发,2003(6):29-33.
[6]吴义爽,蔡宁.我国集群跨越式升级的“跳板”战略研究[J].中国工业经济,2010(10):55-64.
[7]吴龙辉.产业集群影响出口贸易的机制及效应研究[D].硕士学位论文,宁波大学,2012.
[8]徐康宁.开放经济中的产业集群与竞争力[J].中国工业经济,2001(11):22-27.
[9]易静.虎门镇服装产业跨境电商研究[D].硕士学位论文,广东外语外贸大学,2015.
[10]袁欣,李深远.产业集聚与对外贸易:广东电子产业的实证分析[J].经济理论与经济管理,2007(1):60-63.
[11]昝冠男.产业集群对出口贸易增长的实证研究———以我国电子及通信设备制造业为例[J].市场周刊:理论研究,2009(3):42-43.
[12]ASOSHEH. Integrated Test Framework Model for E-business Systems[J]. Information Engineering Research In-stitute,2012(2):215-221.
[13]CANDAU F. Entrepreneurs'Location Choice and Public Policies:A Survey of the New Economic Geography[J].Journal of Economic Surveys,2008,22(5):909-952.
[14]CHRISTINA E,KRISHNA W,DANIEL M. Cooperation in Virtual Clusters[C]. The Proceedings of the 9th Inter-national Conference of Concurrent Enterprising,Espoo,Finland,2003(6):16-18.
[15]FORSLID R,HAALAND J I,ULLTVEITMOE K H. A U-Shaped Europe? A Simulation Study of Industrial Loca-tion[J]. Journal of International Economics,1999,57(2):273-297.
[16]HANSON G H. Market Potential,Increasing Returns and Geographic Concentration[J]. Journal of InternationalEconomics,2005,67(1):1-24.
[17]HUMPHREY J,SCHMITZ H. Governance and Upgrading:Linking Industrial Cluster and Global Value Chain Re-search[N]. IDS Working Paper,2000.
[18]JENNIFER GIBBS,KENNETH L. Kraemer and Jason Dedrick. Environment and Policy Factor Shaping Global E-commerce Diffusion:A Cross-Country Comparison[J]. The Information Society,2006(19):5-18.
[19]KRUGMAN,PAUL. Increasing Returns and Economic Geography[J]. Journal of Political Economy,1991,99(3):483-499.
[20]LE KHA. Critical Success Factor for Bussiness-to-Consumer E-bussiness:Lessons from Amazon and Dell[D].Massachusetts:MIT Sloan School of Management,2000.
[21]MONLINA A,BREMER C F. Achieving Critical Mass:A Global Research Network in System Engine[J]. Fore-sight,2001,3(1):59-64.
[22]PORTER M E. Strategy and the Internet[J]. Harvard Business Review,2001,79(3):62-78.
[23]VENABLES,ANTHONY J. Equilibrium Locations of Vertically Linked Industries[J]. International Economic Re-view,1996,(37):341-359.