Summary:
As an essential transportation infrastructure designed to enhance urban efficiency, subways worldwide have long struggled with persistent operating losses. This is also the case in China, where subway construction and operation rely heavily on government subsidies and debt financing. However, despite growing fiscal pressure on local governments in recent years, many cities prioritize subway expansion in their urban development plans, resulting in ongoing debates about the costs and benefits of subway projects. Against this backdrop, it is essential to analyze the economic benefits of subway construction in Chinese cities, which can help understand the government's policy goals better and provide practical implications for local governments to improve their infrastructure plans. Moreover, existing studies have not fully explored the economic externalities of subway systems, especially from the perspective of the cost-reduction effect. This study addresses this gap by examining how subway opening influences firms' labor costs. We argue that improved commuting efficiency from subway opening can reduce labor costs for nearby firms in two ways: by enhancing firms' wage bargaining power and by lowering employees' expectations for monetary compensation. For firms, improved commuting conditions and greater accessibility around subway stations help attract a larger pool of workers and expand the potential labor supply. Drawing on the labor market supply-demand framework and wage-bargaining theory, a larger applicant pool intensifies job seekers' competition, enhancing firms' bargaining position in wage negotiations and ultimately reducing labor costs. For employees, improved commuting efficiency provides non-monetary benefits such as higher job satisfaction and improved mental well-being, which may lower employees' expectations for monetary compensation. In addition, the subway's capacity to support efficient and long-distance commuting enables employees to reside in areas with lower living costs, thus increasing their willingness to accept lower wages. This study uses manually collected data on the opening dates and geographic coordinates of subway stations across Chinese cities to construct a dataset tracking subway opening within a 500-meter radius of the office locations of A-share listed firms from 2003 to 2019. The baseline results show that opening a nearby subway station leads to an average 5.63% reduction in firms' labor costs, equivalent to an annual decrease of 6,163.10 yuan in compensation per employee, highlighting the significant economic benefits of subway expansion. Mechanism analysis suggests two primary channels. First, subway access enables firms to tap into a larger labor pool and attract more job applicants, intensifying competition among workers and thereby strengthening firms' bargaining power. Second, compared to other commuting options, subways offer employees non-monetary well-being, such as mental health and job satisfaction, and also help lower their basic living expenses,further reducing their reservation wages. In addition, the cost-reduction effect is more pronounced for subways with high speeds and multiple transfer routes. However, the effect is relatively limited in areas with favorable commuting conditions, low living costs, or low population density. Finally, the study finds that the labor cost savings from subway access can facilitate further investment by firms. The marginal contributions of this study are as follows. First, this study provides new evidence on the economic externalities of subway systems from the perspective of firms' labor costs. This not only complements the existing literature on the economic outcomes of subway construction but also deepens public and policy-level understanding of its broader economic value. Second, the study explores the link between subway opening and firms' labor costs by focusing on commuting efficiency, thereby extending the academic literature on the determinants of labor costs. Third, the study finds that subway opening helps reduce firms' operating costs, offering valuable policy implications for leveraging infrastructure investment to promote high-quality enterprise growth, especially amid growing concerns over China's economic deceleration. This study proposes several policy implications. First, stakeholders should adopt a more balanced view of the economic value of subway systems. For example, the media are encouraged to take a more evidence-based approach and highlight the social and economic benefits of subways to improve public understanding of transport infrastructure. Second, firms should make full use of the opportunities created by improved public transportation. They can seek government support to improve local transport and prioritize office locations with better commuting conditions. Third, local governments should approach subway planning more carefully by weighing fiscal costs against potential economic benefits. Effective planning should consider factors such as passenger demand and existing transport infrastructure to avoid inefficient investments and fiscal risks.
[1] 曹晨、甄峰、汪侠和姜玉培,2020,《基于结构方程模型的南京市就业者通勤行为特征对健康的影响研究》,《地理科学进展》第12期,第2043~2053页。 [2] 代昀昊、安铮和王砾,2023,《通勤成本与制造业企业生产率》,《经济学动态》第8期,第63~81页。 [3] 李兰、王锐和彭泗清,2023,《企业家成长30年:企业家精神引领企业迈向高质量发展——中国企业家队伍成长与发展30年调查综合报告》,《管理世界》第3期,第113~136页。 [4] 梁若冰和席鹏辉,2016,《轨道交通对空气污染的异质性影响——基于RDID方法的经验研究》,《中国工业经济》第3期,第83~98页。 [5] 刘修岩、王峤和吴嘉贤,2022,《城市快速轨道交通发展与企业创新》,《世界经济》第7期,第126~152页。 [6] 陆铭、张航和梁文泉,2015,《偏向中西部的土地供应如何推升了东部的工资》,《中国社会科学》第5期,第59~83+204~205页。 [7] 马静、刘冠秋和饶婧雯,2022,《地理环境与时空行为对主观幸福感的影响研究进展》,《地理科学进展》第4期,第718~730页。 [8] 苗瑞凯和王俊秀,2021,《通勤时间对心理健康的影响:基于美好生活的视角》,《心理科学》第3期,第713~719页。 [9] 宁博、潘越和汤潮,2022,《地域商会有助于缓解企业融资约束吗?——来自A股民营上市企业的证据》,《金融研究》第2期,第153~170页。 [10] 沈永建、范从来、陈冬华和刘俊,2017,《显性契约、职工维权与劳动力成本上升:〈劳动合同法〉的作用》,《中国工业经济》第2期,第117~135页。 [11] 沈永建、于双丽和蒋德权,2019,《空气质量改善能降低企业劳动力成本吗?》,《管理世界》第6期,第161~178+195~196页。 [12] 孙伟增和何磊磊,2022,《职住分离、时间挤出与企业生产效率》,《经济学(季刊)》第4期,第1147~1168页。 [13] 文雁兵、张梦婷和俞峰,2022,《中国交通基础设施的资源再配置效应》,《经济研究》第1期,第155~171页。 [14] 周素红和刘玉兰,2010,《转型期广州城市居民居住与就业地区位选择的空间关系及其变迁》,《地理学报》第2期,第191~201页。 [15] Anderson, M. L., 2014, “Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion”, American Economic Review, 104(9), pp.2763~2796. [16] Bothe, K.,H. K. Hansen and L. Winther, 2018, “Spatial Restructuring and Uneven Intra-Urban Employment Growth in Metro-and Non-Metro-Served Areas in Copenhagen”, Journal of Transport Geography, 70, pp.21~30. [17] Callaway, B. and P. H. Sant’Anna, 2021, “Difference-in-Differences with Multiple Time Periods”, Journal of Econometrics, 225(2), pp.200~230. [18] De Chaisemartin, C. and X. d’Haultfoeuille, 2020, “Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects”, American Economic Review, 110(9), pp.2964~2996. [19] Deng, X. and H. Gao, 2013, “Nonmonetary Benefits, Quality of Life, and Executive Compensation”, Journal of Financial and Quantitative Analysis, 48(1), pp.197~218. [20] Heuermann, D. F. and J. F. Schmieder, 2019, “The Effect of Infrastructure on Worker Mobility: Evidence from High-Speed Rail Expansion in Germany”, Journal of Economic Geography, 19(2), pp.335~372. [21] Jachimowicz, J. M., J. L. Cunningham, B. R. Staats, F. Gino and J. I. Menges, 2021, “Between Home and Work: Commuting as an Opportunity for Role Transitions”, Organization Science, 32(1), pp.64~85. [22] Koh, Y., J. Li and J. Xu, 2025, “Subway, Collaborative Matching, and Innovation”, The Review of Economics and Statistics,107(2), pp.476~493. [23] Le Barbanchon, T., R. Rathelot and A. Roulet, 2021, “Gender Differences in Job Search: Trading Off Commute against Wage”, The Quarterly Journal of Economics, 136(1), pp.381~426. [24] Liu, S. and Y. Su, 2024, “The Geography of Jobs and the Gender Wage Gap”, The Review of Economics and Statistics, 106(3), pp.872~881. [25] Lu, Y., X. Shi, J. Sivadasan and Z. Xu, 2024, “How Does Improvement in Commuting Affect Employees? Evidence from a Natural Experiment”, The Review of Economics and Statistics, 106(1), pp.53~67. [26] Mayer, T. and C. Trevien, 2017, “The Impact of Urban Public Transportation Evidence from the Paris Region”, Journal of Urban Economics, 102, pp.1~21. [27] McMillen, D. P. and L. D. Singell Jr, 1992, “Work Location, Residence Location, and the Intraurban Wage Gradient”, Journal of Urban Economics, 32(2), pp.195~213. [28] Monte, F., S. J. Redding and E. Rossi-Hansberg, 2018, “Commuting, Migration, and Local Employment Elasticities”, American Economic Review, 108(12), pp.3855~3890. [29] Pang, J. and S. Shen, 2024, “Do Subways Improve Labor Market Outcomes for Low-Skilled Workers?”, Journal of Population Economics, 37:5, pp.1~34. [30] Zax, J. S., 1991, “Compensation for Commutes in Labor and Housing Markets”, Journal of Urban Economics, 30(2), pp.192~207.