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金融研究  2021, Vol. 493 Issue (7): 190-206    
  本期目录 | 过刊浏览 | 高级检索 |
高铁时空压缩效应与公司权益资本成本——来自A股上市公司的经验证据
郭照蕊, 黄俊
上海师范大学商学院,上海 200234;
上海财经大学会计与财务研究院,上海 200433
The Spatiotemporal Constraint Effect of High-speed Railway and Corporate Equity Capital Cost:Empirical Evidence from China's A-share Listed Companies
GUO Zhaorui, HUANG Jun
School of Business, Shanghai Normal University;
Institute of Accounting and Finance, Shanghai University of Finance and Economics
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摘要 以往文献大多集中于交通基础设施对一国或地区宏观经济的影响,而较少关注其对资本市场的作用。本文基于信息不对称视角,考察了高铁开通改变地理距离的时空约束后如何影响公司权益资本成本。以2007—2018年A股上市公司为样本,本文研究发现,上市公司所在地开通高铁后,由于内外信息不对称程度的降低,公司权益资本成本显著下降。该现象受到一系列公司特征的影响,与多数投资者聚集地距离越远、业务复杂度越高的公司,权益资本成本受高铁开通影响而下降得更明显。进一步的研究表明,高铁开通后公司股票流动性的提升及信息披露质量的提高是影响权益资本成本的重要路径。
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郭照蕊
黄俊
关键词:  高铁开通  权益资本成本  信息不对称  股票流动性    
Summary:  China has made remarkable progress in high-speed railway construction over the past decade, and it now ranks first in the world in terms of total mileage. Compared with other modes of transportation, high-speed railway has many advantages, being faster, safer, and more environmentally friendly. However, little attention is paid to its effect on the capital market. As a core concept in corporate finance, the cost of equity capital has always been of interest to researchers. At the micro level, this cost is an important criterion for the selection and performance evaluation of investment and financing projects and is vital for financial and business decisions. At the macro level, it plays an important role in efficient resource allocation and capital flow, and is an important indicator of the development of the capital market and the construction of relevant institutions (Mao et al., 2012). Therefore, understanding the spatiotemporal constraint effect of high-speed railway on the cost of equity capital will provide useful insights into the operation of the capital market, corporate investment, financing decisions, and performance evaluation.
Taking China's A-share listed companies from 2007 to 2018 as a sample, this paper empirically investigates whether the opening of a high-speed rail has an impact on the equity capital cost of local listed companies. If so, is the impact different according to the companies' characteristics? What are the specific paths by which the opening of a high-speed rail affects the cost of equity capital? The results show that the cost of equity capital decreases significantly after the high-speed rail opens near the listed companies due to the reduction in internal and external information asymmetry. This phenomenon is affected by a series of company characteristics.The more distant the company is from the majority of investors, and the higher the company's business complexity is, the more the cost of equity capital is affected by the opening of the high-speed rail. Subsequently, we find that the improved company stock liquidity and information disclosure quality after the opening of a high-speed rail both affect the cost of equity capital. A series of robustness checks, including placebo tests, a two-stage regression, and propensity score matching, confirm the results of this paper.
The contributions of this paper are as follows. First, it systematically investigates the impact of high-speed railway on the cost of equity capital, which improves our understanding of the spillover effect of high-speed rail operations and provides micro-enterprise evidence of the economic consequences of high-speed railway in China. Second, this paper investigates the effect of high-speed railway on the cost of equity capital, and then examines the channels of influence, enriching research on companies' cost of equity capital.
Our findings have the following practical implications. (1) Accelerated construction of transportation infrastructure will ensure the high-quality development of the real economy. (2) No matter what new characteristics and new forms of business appear in the operation of the capital market under the new situation, improving listed companies' quality of information disclosure, reducing transaction costs, and optimizing the efficiency of capital market resource allocation should be basic construction projects to cultivate the capital market. (3) Geographical location and distance from megacities cannot be changed, but the continuous search for spatiotemporal compression and changes in the spatial structure, distribution structure, and hierarchical structure enlarges the driving effect of central cities, especially megacities, i.e. Beijing, Shanghai, Guangzhou, and Shenzhen.
Keywords:  High-speed Railway    Cost of Equity Capital    Information Asymmetry    Stock Liquidity
JEL分类号:  G12   G32   M21  
基金资助: * 本文感谢国家自然科学基金项目(71573178、71632006、72072107)、上海市哲学社会科学规划一般课题(2020BJB007)、教育部人文社会科学重点研究基地重大研究项目(18JJD790011)、高等学校学科创新引智计划(B18033)和上海财经大学创新团队支持计划的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  黄 俊,管理学博士,教授,上海财经大学会计与财务研究院,E-mail:huangjun@mail.shufe.edu.cn.   
作者简介:  郭照蕊,管理学博士,副教授,上海师范大学商学院,E-mail:shufegzr@163.com.
引用本文:    
郭照蕊, 黄俊. 高铁时空压缩效应与公司权益资本成本——来自A股上市公司的经验证据[J]. 金融研究, 2021, 493(7): 190-206.
GUO Zhaorui, HUANG Jun. The Spatiotemporal Constraint Effect of High-speed Railway and Corporate Equity Capital Cost:Empirical Evidence from China's A-share Listed Companies. Journal of Financial Research, 2021, 493(7): 190-206.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2021/V493/I7/190
[1] 卞元超、吴利华和白俊红,2019,《高铁开通是否促进了区域创新》,《金融研究》第6期,第132~149页。
[2] 陈国进、尹鲁晋和赵向琴,2016,《地方政府投资如何影响上市公司融资成本》,《金融研究》第8期,第127~142页。
[3] 杜兴强、侯菲和赖少娟,2018,《交通基础设施改善抑制了审计师选择的“地缘偏好”吗?——基于中国高速列车自然实验背景的经验证据》,《审计研究》第1期,第103~110页。
[4] 刘江会和朱敏,2015 ,《地理因素会影响中国企业IPO 的成本吗? ———基于“软信息不对称”的视角》,《经济管理》第10期,第31~41页。
[5] 龙玉、赵海龙、张新德和李曜,2017,《时空压缩下的风险投资——高铁通车与风险投资区域变化》,《经济研究》第4期,第195~208页。
[6] 毛新述、叶康涛和张頔,2012,《上市公司权益资本成本的测度与评价——基于我国证券市场的经验检验》,《会计研究》第11期,第12~22页。
[7] 宋文杰、朱青、朱月梅、孔翠翠、史煜瑾和顾永涛,2015,《高铁对不同规模城市发展的影响》,《经济地理》第10期,第57~63页。
[8] 王姣娥、焦敬娟和金凤君,2014,《高速铁路对中国城市空间相互作用强度的影响》,《地理学报》第12期,第1833~1846页。
[9] 王雨飞和倪鹏飞,2016,《高速铁路影响下的经济增长溢出与区域空间优化》,《中国工业经济》第2期,第21~36页。
[10] 温忠麟、张雷、侯杰泰和刘红云,2004,《中介效应检验程序及其应用》,《心理学报》第5期,第614~620页。
[11] 张文新、丁楠、吕国玮和侯雪,2012,《高速铁路对长三角地区消费空间的影响》,《经济地理》第6期,第1~6页。
[12] 张正勇和邓博夫,2017,《社会责任报告鉴证会降低企业权益资本成本吗》,《审计研究》第1期,第98~104页。
[13] 赵静、黄敬昌和刘峰,2018,《高铁开通与股价崩盘风险》,《管理世界》第1期,第157~168页。
[14] 诸竹君、黄先海和王煌,2019,《交通基础设施改善促进了企业创新吗?——基于高铁开通的准自然实验》,《金融研究》第11期,第153~169页。
[15] Ahlfeldt, G., and A. Feddersen. 2017. “From Periphery to Core: Measuring Agglomeration Effects Using High-speed Rail”, Journal of Economic Geography, 18(2):355~390.
[16] Amihud, Y. 2002. “Illiquidity and Stock Returns: Cross-section and Time-series Effects”, Journal of Financial Markets, 5(1):31~56.
[17] Amihud, Y., and H. Mendelson. 1986. “Asset Pricing and the Bid-ask Spread”, Journal of Financial Economics, 17(2):223~249.
[18] Arnold, T. R., P. H. Fische, and D. North. 2010. “The Effects of Ambiguous Information on Initial and Subsequent IPO Returns”, Financial Management, 39(4):1497~1519.
[19] Bushman, R., Q. Cheng, E. Engel, and A. Smith. 2004. “Financial Accounting Information, Organizational Complexity and Corporate Governance Systems”, Journal of Accounting and Economics, 37: 167~201.
[20] Casey, R. J., and J. H. Grenier. 2015. “Understanding and Contributing to the Enigma of Corporate Social Responsibility Assurance in the United States”, Auditing: A Journal of Practice and Theory, 34(1):97~130.
[21] Coles, J., U. Loewenstein, and J. Suay. 1995. “On Equilibrium Pricing Under Parameter Uncertainty”, Journal of Financial and Quantitative Analysis, 30(3), 347~364.
[22] Diamond, D. W., and R. E. Verrecchia. 1991. “Disclosure, Liquidity, and the Cost of Capital”, Journal of Finance, 46(4):1325~1359.
[23] Easton, P. 2004. “PE Ratios, PEG Ratios, and Estimating the Implied Expected Rate of Return on Equity Capital”, Accounting Review, 79(1):73~96.
[24] Fu, X., A. Zhang, and Z. Lei. 2012. “Will China's Airline Industry Survive the Entry of High-Speed Rail”, Research in Transportation Economics, 35(1):13~25.
[25] Gao Y., W. Su, and K. Wang. 2019. “Does High-speed Rail Boost Tourism Growth? New Evidence from China”, Tourism Management, 72(1): 220~231.
[26] Klasa, S., H. Ortiz-Molina, M. Serfling, and S. Srinivasan. 2018. “Protection of Trade Secrets and Capital Structure Decisions”, Journal of Financial Economics, 128(2): 266~286.
[27] Loughran, T. 2008. “The Impact of Firm Location on Equity Issuance”, Financial Management, 37(1):1~21.
[28] Vickerman, R. 2015. “High-speed Rail and Regional Development: The Case of Intermediate Stations”, Journal of Transport Geography, 42(1):157~165.
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