数字基础设施对企业地理供应链布局的影响--来自中国微观数据的证据

IF 5.2 1区 经济学 Q1 ECONOMICS 中国经济评论 Pub Date : 2024-08-03 DOI:10.1016/j.chieco.2024.102249
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引用次数: 0

摘要

本研究探讨了中国数字基础设施的发展如何影响上市公司供应链的地理布局。研究发现:(1) 数字基础设施的发展使企业更倾向于选择附近的供应商或客户,而不是寻找遥远的供应链合作伙伴。(2)数字基础设施的发展可以降低企业成本,提高企业生产率。然而,成本降低和生产率提高的企业不会扩大供应链的地理范围。从供应链集中度的角度来看,企业降低了对前五大客户和供应商的依赖,说明在数字化技术的支持下,企业愿意寻找新的合作伙伴,实现供应链的紧密化和多元化。(3)异质性分析表明,在数字化基础设施的影响下,经营时间较长、位于发达地区和东部地区、第一产业和第二产业的企业会选择更紧密的供应链合作伙伴。(4) 扩展分析表明,邻近城市的数字基础设施会削弱这些地区的企业就近寻找供应链合作伙伴的偏好。
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The impact of digital infrastructure on the geographical supply chain layout of firms —— Evidence from Chinese microdata

This study investigates how the development of digital infrastructure in China affects the geographical layout of supply chains of listed companies. This work finds that (1) The development of digital infrastructure has led to firms prefer suppliers or customers nearby, rather than looking for distant supply chain partners. (2) The development of digital infrastructure can reduce the costs of the firms, and improve their productivity. However, firms with cost reduction and productivity improvement will not expand the geographical scope of their supply chains. From the perspective of the concentration of supply chains, firms reduce their dependence on the top five customers and suppliers, indicating that with the support of digital technology, firms are willing to seek new partners to achieve closer and more diversified supply chains. (3) Heterogeneous analysis shows that firms with longer operational time, located in developed regions and eastern regions, or in primary and secondary sectors will choose a closer supply chain partner under the influence of digital infrastructure. (4) Extended analysis shows that digital infrastructure in neighboring cities will weaken the preferences of firms in those regions to find supply chain partners nearby.

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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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