区内通勤成本、区际运输成本与产业集聚效应:理论分析与经验证据
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作者单位:

西南民族大学 经济学院,四川 成都 610225

作者简介:

何雄浪,西南民族大学经济学院教授,博士研究生导师,Email:hexionglang@sina.com
王诗语(通信作者),西南民族大学经济学院。

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中图分类号:

F061.5;F124;F512

基金项目:

国家社会科学基金项目“区域协同创新、产业共生集聚与区域发展提质增效”(24BJL044);西南民族大学“维舟团队”专项资金项目“中国式现代化进程中新基建促进四川省区域协调发展新格局的形成研究”(SMUWZ202404)


Intra-regional commuting costs, inter-regional transportation costs and industrial agglomeration effects: Theoretical analysis and empirical evidence
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School of Economics, Southwest Minzu University, Chengdu 610225, P.R.China

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    摘要:

    良好的交通基础设施建设能够有效降低通勤成本和运输成本,在推动产业合理布局与促进经济高质量发展方面具有重要作用。文章在识别区内通勤成本、区际运输成本对产业集聚效应总体影响的基础上,结合城市地理区位、城市群空间结构及产业要素集约方式等特征进行城市异质性与产业异质性分析,并从创新水平、人才吸引、市场潜力与劳动力流动四个方面探讨其作用机制。研究发现,区内通勤成本的降低有助于推动产业集聚,并显著提升产业集聚效率;而区际运输成本的降低与产业集聚规模之间呈倒“U”形关系,与产业集聚效率之间呈正“U”形关系,即当运输成本降低至临界值后,虽会促使产业向外扩散但能提升集聚效率。该影响在不同城市与产业中表现出异质性。在城市层面,通勤成本下降对中西部地区及多中心城市群的产业集聚规模提升更为显著,运输成本与中西部城市的集聚效率之间呈现正“U”形关系;在产业层面,通勤成本的降低有利于信息密集型产业的集聚,但对其集聚效率影响不显著,而知识密集型产业则更易向外扩散。区际运输成本下降有助于提升知识密集型产业的集聚效率,对信息密集型产业的影响不明显;机制检验结果表明,区内通勤成本的降低通过吸引人才集聚,从而带动产业集聚规模和集聚效率的提升。区际运输成本下降对集聚规模的倒“U”形效应主要通过影响城市市场潜力实现;对集聚效率的正“U”形效应则通过增强劳动力流动实现;进一步研究发现,区际运输成本降低对周边地区产业集聚效应的影响不存在明显的“U”形特征。基于上述研究结论,文章认为需要因地制宜推进交通基础设施建设,优化产业空间布局,提升资源配置效率。东部地区及大城市可依托现有交通网络,推动产业有序转移;中西部及中小城市应加强内外交通联通,积极承接产业转移;单中心城市群需要合理引导投资,避免重复建设;多中心城市群则应完善节点交通体系,促进区域协同发展;针对不同产业特性,在推动信息密集型产业集聚方面需要注重改善通勤成本,在推动知识密集型产业集聚方面则需强化城市间交通联系。最后,通过差异化交通基础设施建设与产业布局优化,推动我国区域协调发展迈向更高水平,为我国经济高质量发展注入持续动能。

    Abstract:

    Transportation infrastructure construction can effectively reduce commuting costs and transportation costs, which plays an important role in optimizing industrial layout and advancing high-quality economic development. Based on identifying the overall effects of intra-regional commuting costs and inter-regional transportation costs on industrial agglomeration, this paper analyzes the heterogeneity of cities and industries in terms of geographic location, urban cluster spatial structure and the way of industrial factor concentration, and explores their mechanisms in terms of innovation level, talent attraction, market potential and labor mobility. It is found that the reduction of intra-regional commuting cost helps to promote industrial agglomeration and significantly improves industrial agglomeration efficiency; while the reduction of inter-regional transportation cost has an inverted U-shaped relationship with industrial agglomeration scale and a positive U-shaped relationship with industrial agglomeration efficiency. That is to say, when the transportation cost is reduced to a critical value, although it will prompt the industry to spread outward, it can improve the agglomeration efficiency. These effects exhibit heterogeneity across cities and industries. At the city level, the reduction of commuting cost is more significant for the industrial agglomeration scale of central and western regions and multi-center city clusters, and there is a positive U-shaped relationship between the transportation cost and the agglomeration efficiency of central and western cities. At the industrial level, the reduction of commuting cost favors the agglomeration of information-intensive industries, but has no significant effect on their agglomeration efficiency, while knowledge-intensive industries are more likely to spread outward. The reduction of inter-regional transportation cost helps to improve the agglomeration efficiency of knowledge-intensive industries, but the effect on information-intensive industries is not obvious. Mechanism test results show that the reduction of intra-regional commuting costs attracts talents to agglomerate, thus enhancing industrial agglomeration scale and efficiency. The inverted U-shaped effect of inter-regional transportation cost reduction on agglomeration scale is mainly realized by boosting urban market potential, and the positive U-shaped effect on agglomeration efficiency is realized by enhancing labor force mobility. It is further found that the impact of lower inter-regional transportation costs on the industrial agglomeration effect in neighboring areas does not show a clear U-shaped characteristic. The article concludes that it is necessary to promote the construction of transportation infrastructure according to local conditions, optimize industrial spatial distribution, and improve resource allocation efficiency. The eastern region and big cities can rely on the existing transportation network to promote the orderly transfer of industries; the central and western regions and small and medium-sized cities should strengthen the internal and external transportation connections and actively undertake industrial transfers; single-center city clusters need to reasonably guide the investment to avoid duplicated construction; multi-center city clusters should improve the nodal transportation system and promote regional synergistic development. In view of different industrial characteristics, it is necessary to focus on reducing commuting costs in promoting information-intensive industrial agglomeration, and strengthening inter-city transportation links in promoting knowledge-intensive industrial agglomeration. Finally, through differentiated transportation infrastructure construction and industrial layout optimization, China’s coordinated regional development will be promoted to a higher level, and sustained momentum will be injected into China’s high-quality economic development.

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何雄浪,王诗语.区内通勤成本、区际运输成本与产业集聚效应:理论分析与经验证据[J].重庆大学学报社会科学版,2026,32(1):60-76. DOI:10.11835/j. issn.1008-5831. jg.2025.09.005

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  • 在线发布日期: 2026-04-02
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