Corporate Investment under Time-Space Compression: Evidence from High-Speed Railway Coverage

Authors

  • Lina Yan Zhongnan University of Economics and Law
  • Jianhua Tan Zhongnan University of Economics and Law

DOI:

https://doi.org/10.5755/j01.ee.30.2.22786

Keywords:

High-speed Railway Coverage, Corporate Investment, Quasi-natural Experiment, Operational Efficiency, Financing constraints

Abstract

The influence of geographical distance on the decision-making behaviors of economic entities is an interesting topic in new economic geography. To investigate the impact of high-speed railway coverage on firms, with high-speed railway coverage in China as a quasi-natural experiment and a different-in-different (DID) regression, the relation between the staggered coverage of high-speed railways and corporate investment was empirically explored using the data of stations of the Chinese high-speed railways and the listed firms from 2009-2017. Grouping tests were conducted according to corporate operational efficiency and financing constraints. In addition, whether the investment of non-state-owned enterprises(non-SOEs) and labor-intensive firms improved due to high-speed railways coverage was analyzed. Results corroborate that the investment in listed firms in cities covered by high-speed railways increases more significantly compared with cities that are not covered. Hence, high-speed railway coverage promoted capital factor liquidity, mitigated financing constraints, and increased corporate investment. Moreover, high-speed railway coverage is more likely to optimize the investment of the groups of firms that have higher asset liquidity, lower financing constraints, intensive labor, or private ownership. The conclusion provides critical insights for the decision-making behaviors of high-speed railway construction and constitutes theoretical basis for the promotion effect of transportation infrastructure construction on corporate investment.

 

DOI: http://dx.doi.org/10.5755/j01.ee.30.2.22786

Published

2019-04-29

Issue

Section

ECONOMICS OF ENGINEERING DECISIONS