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Academic Journal of Business & Management, 2026, 8(5); doi: 10.25236/AJBM.2026.080513.

Reducing Information Frictions via High-Speed Rail: Infrastructure-Driven Efficiency in Government Innovation Subsidies

Author(s)

Chenxi Zheng1, Yu Chen1, Yao Liu2

Corresponding Author:
Yao Liu
Affiliation(s)

1College of Economics and Management, Zhejiang University of Water Resources and Electric Power, Hangzhou, Zhejiang, China

2School of Management, Hangzhou Dianzi University, Hangzhou, Zhejiang, China

Abstract

Government subsidies for innovation are critical policy instruments but often suffer from inefficiencies due to severe information asymmetries between funding agencies and applicant firms. This study leverages the staggered introduction of high-speed rail (HSR) in China as a quasi-natural experiment to examine whether improved physical infrastructure can alleviate such frictions. Using panel data of 3,296 listed firms across 281 prefecture-level cities from 1999 to 2021, we find that the operation of HSR significantly increases the likelihood of firms receiving government innovation subsidies. This effect is especially pronounced for small firms and those with a high proportion of intangible assets, where information opacity is more severe. Moreover, firms located in HSR-connected cities demonstrate stronger post-subsidy performance, suggesting that better information environments enabled by HSR enhance the selection and effectiveness of subsidy allocation. Our findings highlight an important and previously overlooked mechanism: by reducing spatial-temporal distance and facilitating face-to-face communication, transportation infrastructure plays a critical role in converting firm-specific private information into accessible public knowledge. This enhances governmental screening accuracy and subsidy efficacy. The study contributes to literature on innovation policy, infrastructure economics, and information asymmetry, and offers practical insights for designing more effective innovation support schemes in emerging economies.

Keywords

High-speed Rail, Government Innovation Subsidies, Information Asymmetry; Quasi-natural Experiment

Cite This Paper

Chenxi Zheng, Yu Chen, Yao Liu. Reducing Information Frictions via High-Speed Rail: Infrastructure-Driven Efficiency in Government Innovation Subsidies. Academic Journal of Business & Management (2026), Vol. 8, Issue 5: 92-104. https://doi.org/10.25236/AJBM.2026.080513.

References

[1] Bertoni F, Tykovová T. Does governmental venture capital spur invention and innovation? Evidence from young European biotech companies[J]. Research Policy, 2015, 44(04): 925-935.

[2] Chen Y, Wang Y, Hu D, et al. Government R&D subsidies, information asymmetry, and the role of foreign investors: Evidence from a Quasi-Natural experiment on the Shanghai–Hong Kong stock connect[J]. Technological Forecasting and Social Change, 2020, 158: 120162.

[3] Jaffe A B, Lerner J. Innovation and its discontents: How our broken patent system is endangering innovation and progress, and what to do about it[M]. Princeton University Press, 2004.

[4] Stuart T, Wang Y. Who cooks the books in China, and does it pay? Evidence from private, high-technology firms[J]. Strategic Management Journal, 2016, 37(13): 2658-2676.

[5] Arbix G. Structural change and the emergence of the Brazilian MNEs[J]. International Journal of Emerging Markets, 2010, 05(3-4): 266-288.

[6] Collewaert V, Manigart S, Aernoudt R. Assessment of government funding of business angel networks in Flanders[J]. Regional Studies, 2010, 44(01): 119-130.

[7] Guo D, Guo Y, Jiang K. Funding forms, market conditions, and dynamic effects of government R&D subsidies: Evidence from China[J]. Economic Inquiry, 2017, 55(02): 825-842.

[8] Jourdan J, Kivleniece I. Too much of a good thing? The dual effect of public sponsorship on organizational performance[J]. Academy of Management Journal, 2017, 60(01): 55-77.

[9] Akerlof G A. The market for "lemons": Quality uncertainty and the market mechanism[J]. The Quarterly Journal of Economics, 1970, 84(03): 488-500.

[10] Cartwright S, Cooper C L. The role of culture compatibility in successful organizational marriage[J]. Academy of Management Perspectives, 1993, 07(02): 57-70.

[11] Chen Z, Kale P, Hoskisson R E. Geographic overlap and acquisition pairing[J]. Strategic Management Journal, 2018, 39(02): 329-355.

[12] Agarwal S, Hauswald R. Distance and private information in lending[J]. The Review of Financial Studies, 2010, 23(07): 2757-2788.

[13] Guo H, Wu K. Does opening high-speed railways affect the cost of debt financing? A quasi-natural experiment[J]. China Finance Review International, 2020, 10(04): 473-496.

[14] Hong Y, Li Y. Could the introduction of high-speed railway inhibit the IPO underpricing in China?[J]. Applied Economics Letters, 2020, 27(18): 1479-1484.

[15] Lin Y. Travel costs and urban specialization patterns: Evidence from China's high speed railway system[J]. Journal of Urban Economics, 2017, 98: 98-123.

[16] Jensen M C, Meckling W H. Theory of the firm: Managerial behavior, agency costs and ownership structure[J]. Journal of Financial Economics, 1976, 03(04): 305-360.

[17] Petersen M A, Rajan R G. Does distance still matter? The information revolution in small business lending[J]. The Journal of Finance, 2002, 57(06): 2533-2570.

[18] Shi W, Gao C, Aguilera R V. The liabilities of foreign institutional ownership: Managing political dependence through corporate political spending[J]. Strategic Management Journal, 2021, 42(01): 84-113.

[19] Krishnaswami S, Spindt P A, Subramaniam V. Information asymmetry, monitoring, and the placement structure of corporate debt[J]. Journal of Financial Economics, 1999, 51(03): 407-434.

[20] Lopez-Valeiras E, Gomez-Conde J, Fernandez-Rodriguez T. Firm size and financial performance: Intermediate effects of indebtedness[J]. Agribusiness, 2016, 32(04): 454-465.

[21] Chiang R, Venkatesh P C. Insider holdings and perceptions of information asymmetry: A note[J]. The Journal of Finance, 1988, 43(04): 1041-1048.

[22] Yoon H, Zo H, Ciganek A P. Does XBRL adoption reduce information asymmetry?[J]. Journal of Business Research, 2011, 64(02): 157-163.

[23] Greenstein M M, Sami H. The impact of the SEC's segment disclosure requirement on bid-ask spreads[J]. The Accounting Review, 1994, 69(01): 179-199.

[24] Leuz C, Verrecchia R E. The economic consequences of increased disclosure[J]. Journal of Accounting Research, 2000, 38: 91-124.

[25] Cohen W M, Goto A, Nagata A, et al. R&D spillovers, patents and the incentives to innovate in Japan and the United States[J]. Research Policy, 2002, 31(08): 1349-1367.

[26] Contractor F, Yang Y, Gaur A S. Firm-specific intangible assets and subsidiary profitability: The moderating role of distance, ownership strategy and subsidiary experience[J]. Journal of World Business, 2016, 51(06): 950-964.

[27] Teece D J. Managing intellectual capital: Organizational, strategic, and policy dimensions[M]. Oxford University Press, 2002.

[28] Barth M E, Kasznik R, McNichols M F. Analyst coverage and intangible assets[J]. Journal of Accounting Research, 2001, 39(01): 1-34.

[29] Mohd E. Accounting for software development costs and information asymmetry[J]. The Accounting Review, 2005, 80(04): 1211-1231.

[30] Cohen W M, Nelson R R, Walsh J P. Links and impacts: The influence of public research on industrial R&D[J]. Management Science, 2002, 48(01): 1-23.

[31] Beck T, Levine R, Levkov A. Big bad banks? The winners and losers from bank deregulation in the United States[J]. The Journal of Finance, 2010, 65(05): 1637-1667.

[32] Quacoe D, Wen X, Quacoe D, et al. Firm size, compensation and firm deaths in SMEs: Evidence from America[J]. British Journal of Interdisciplinary Research, 2018, 8(01):10-19. 

[33] Jia N, Huang K G, Man Zhang C. Public governance, corporate governance, and firm innovation: An examination of state-owned enterprises[J]. Academy of Management Journal, 2019, 62(01): 220-247.

[34] Gao X, Guo X, Sylvan K J, et al. The Chinese innovation system during economic transition: A scale-independent view[J]. Journal of Informetrics, 2010, 4(04): 618-628.

[35] Chatterjee S, Hadi A S. Qualitative variables as predictors[M]//Regression analysis by example. John Wiley & Sons, Ltd, 2006: 121-150.