IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v63y2022ics0275531922001830.html
   My bibliography  Save this article

Digital economy and business investment efficiency: Inhibiting or facilitating?

Author

Listed:
  • HUO, Peng
  • WANG, Luxin

Abstract

The digital economy’s integration with the real-world economy has revealed its remarkable ability to transform and promote traditional industries and form new economic development momentum. This paper studies the impact of digital economy development on corporate investment efficiency based on data from China’s listed companies from 2007 to 2019. There are three key findings. (1) Digital economy development can effectively improve corporate investment efficiency, mainly by inhibiting their overinvestment. (2) The digital economy’s impact mechanism for improving corporate investment efficiency lies in its ability to improve investment performance by reducing transaction costs and optimizing resource allocation, which, in turn, inhibits overinvestment. (3) The promotional effect of digital economy development on investment efficiency shows significant variability across different types of firms. These findings have particular reference value for promoting the digital development of China’s real industries and improving their investment efficiency.

Suggested Citation

  • HUO, Peng & WANG, Luxin, 2022. "Digital economy and business investment efficiency: Inhibiting or facilitating?," Research in International Business and Finance, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:riibaf:v:63:y:2022:i:c:s0275531922001830
    DOI: 10.1016/j.ribaf.2022.101797
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531922001830
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2022.101797?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ahmed, Shamima & Alshater, Muneer M. & Ammari, Anis El & Hammami, Helmi, 2022. "Artificial intelligence and machine learning in finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 61(C).
    2. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    3. Andreas Fuster & Matthew Plosser & Philipp Schnabl & James Vickery, 2019. "The Role of Technology in Mortgage Lending," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1854-1899.
    4. David Autor & Anna Salomons, 2018. "Is Automation Labor Share–Displacing? Productivity Growth, Employment, and the Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 1-87.
    5. Gul, Ferdinand A. & Kim, Jeong-Bon & Qiu, Annie A., 2010. "Ownership concentration, foreign shareholding, audit quality, and stock price synchronicity: Evidence from China," Journal of Financial Economics, Elsevier, vol. 95(3), pages 425-442, March.
    6. Rodrigues, Ana Rita D. & Ferreira, Fernando A.F. & Teixeira, Fernando J.C.S.N. & Zopounidis, Constantin, 2022. "Artificial intelligence, digital transformation and cybersecurity in the banking sector: A multi-stakeholder cognition-driven framework," Research in International Business and Finance, Elsevier, vol. 60(C).
    7. James R. Brown & Steven M. Fazzari & Bruce C. Petersen, 2009. "Financing Innovation and Growth: Cash Flow, External Equity, and the 1990s R&D Boom," Journal of Finance, American Finance Association, vol. 64(1), pages 151-185, February.
    8. Hong, Yu & Liu, Wei & Song, Hang, 2022. "Spatial econometric analysis of effect of New economic momentum on China’s high-quality development," Research in International Business and Finance, Elsevier, vol. 61(C).
    9. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
    10. Ron Adner & Phanish Puranam & Feng Zhu, 2019. "What Is Different About Digital Strategy? From Quantitative to Qualitative Change," Strategy Science, INFORMS, vol. 4(4), pages 253-261, December.
    11. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
    12. Steven N. Kaplan & Luigi Zingales, 1997. "Do Investment-Cash Flow Sensitivities Provide Useful Measures of Financing Constraints?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 169-215.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Wenjie & Sun, Chaojing & Li, Yan & Ertz, Myriam, 2024. "Effects of business to business e-commerce platform-governance mechanisms on seller firms’ performance," Research in International Business and Finance, Elsevier, vol. 67(PB).
    2. Gao, Yuqiang & Wang, Zishuai & Wang, Kaihua & Zhang, Ruiai & Lu, Yuchen, 2023. "Effect of big data on enterprise financialization: Evidence from China's SMEs," Technology in Society, Elsevier, vol. 75(C).
    3. Li, Cong & Liu, Jiaxuan & Liu, Yuwei & Wang, Xiaoyu, 2023. "Can digitalization empowerment improve the efficiency of corporate capital allocation? —Evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1794-1810.
    4. Xu, Chang & Jin, Long, 2024. "Effects of government digitalization on firm investment efficiency: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 819-834.
    5. Zhang, Dongyang, 2023. "Can digital finance empowerment reduce extreme ESG hypocrisy resistance to improve green innovation?," Energy Economics, Elsevier, vol. 125(C).
    6. Jiayang Kong & Mark Goh & Yu Cao, 2024. "Can Digital Economy Development Facilitate Corporate ESG Performance?," Sustainability, MDPI, vol. 16(10), pages 1-15, May.
    7. Wang, Jiaxin & Yuan, Xue & Huang, Xiang & Liu, Chengxin & Zhang, Pengdong, 2024. "Can digitalization facilitate cross-border M&A? Evidence from Chinese A-share listed companies," Research in International Business and Finance, Elsevier, vol. 67(PA).
    8. Zhou, Bole & Ma, Lili & Yang, Shenghao, 2024. "Catering behaviors in corporate digitization disclosures: Identification and analyst forecast accuracy loss," Research in International Business and Finance, Elsevier, vol. 68(C).
    9. Huangying Gu & Guanyu Guo & Chengming Li, 2024. "Treating the Symptoms as Well as the Root Causes: How the Digital Economy Can Mitigate the Negative Impacts of Land Resource Mismatches on Urban Ecological Resilience," Land, MDPI, vol. 13(9), pages 1-21, September.
    10. Zhang, Chonghui & Nie, Chenying & Su, Weihua & Balezentis, Tomas, 2024. "Are digital technologies an effective inhibitor of depression among middle-aged and older adults? Micro-level evidence from a panel study," Social Science & Medicine, Elsevier, vol. 348(C).
    11. Yuan, Sai & Zhou, Ran & Li, Mengna & Lv, Chengchao, 2023. "Investigating the influence of digital technology application on employee compensation," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    12. Pingkuo Liu & Jiahao Wu, 2023. "Game Analysis on Energy Enterprises’ Digital Transformation—Strategic Simulation for Guiding Role, Leading Role and Following Role," Sustainability, MDPI, vol. 15(13), pages 1-33, June.
    13. Zhang, Qi & Wu, Peipei & Li, Rongrong & Chen, Afei, 2024. "Digital transformation and economic growth Efficiency improvement in the Digital media era: Digitalization of industry or Digital industrialization?," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 667-677.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sai Ding & Alessandra Guariglia & John Knight & Junhong Yang, 2021. "Negative Investment in China: Financing Constraints and Restructuring versus Growth," Economic Development and Cultural Change, University of Chicago Press, vol. 69(4), pages 1411-1449.
    2. Fan, Chenguang & Bae, Seongho & Liu, Yu, 2024. "Can FinTech transform corporate liquidity? Evidence from China," Innovation and Green Development, Elsevier, vol. 3(2).
    3. Lee, Eugenia Y. & Ha, Wonsuk & Park, Sunyoung, 2023. "Auditor specialization in R&D and clients’ R&D investment-q sensitivity," Journal of Contemporary Accounting and Economics, Elsevier, vol. 19(2).
    4. Heitor Almeida & Murillo Campello & Igor Cunha & Michael S. Weisbach, 2014. "Corporate Liquidity Management: A Conceptual Framework and Survey," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 135-162, December.
    5. Tao Shen, 2017. "Credit spreads and investment opportunities," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 117-152, January.
    6. Machokoto, Michael & Areneke, Geofry, 2020. "Does innovation and financial constraints affect the propensity to save in emerging markets?," Research in International Business and Finance, Elsevier, vol. 52(C).
    7. Yang, Bao & Chou, Hsin-I. & Zhao, Jing, 2020. "Innovation or dividend payout: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 180-203.
    8. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    9. Fedorets Alexandra & Kirchner Stefan & Adriaans Jule & Giering Oliver, 2022. "Data on Digital Transformation in the German Socio-Economic Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(5-6), pages 691-705, December.
    10. Havran, Dániel, 2017. "Schumpeter a tőkepiacon. Schumpeter finanszírozási elméletének fejlődése és életrajzi vonatkozásai [Schumpeter on the capital market: the evolution and biographical relations of Schumpeter's credit," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1056-1072.
    11. Sheng-Syan Chen & Chia-Wei Huang & Chuan-Yang Hwang & Yanzhi Wang, 2022. "Voluntary disclosure and corporate innovation," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1081-1115, April.
    12. Söhnke M. Bartram, 2017. "Corporate Postretirement Benefit Plans and Real Investment," Management Science, INFORMS, vol. 63(2), pages 355-383, February.
    13. Hall, Bronwyn H. & Lerner, Josh, 2010. "The Financing of R&D and Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 609-639, Elsevier.
    14. Hanna Hottenrott & Bettina Peters, 2012. "Innovative Capability and Financing Constraints for Innovation: More Money, More Innovation?," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1126-1142, November.
    15. MORIKAWA Masayuki, 2012. "Financial Constraints in Intangible Investments: Evidence from Japanese firms," Discussion papers 12045, Research Institute of Economy, Trade and Industry (RIETI).
    16. Buch, Claudia M. & Kesternich, Iris & Lipponer, Alexander & Schnitzer, Monika, 2009. "Financial Constraints and the Margins of FDI," Discussion Papers in Economics 11054, University of Munich, Department of Economics.
    17. Do, Trung K., 2024. "Asset redeployability and green innovation," Journal of Financial Stability, Elsevier, vol. 72(C).
    18. Bostan, Ibrahim & Spatareanu, Mariana, 2018. "Financing innovation through minority acquisitions," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 418-432.
    19. Dekle, Robert, 2020. "Robots and industrial labor: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    20. Karpuz, Ahmet & Kim, Kirak & Ozkan, Neslihan, 2020. "Employment protection laws and corporate cash holdings," Journal of Banking & Finance, Elsevier, vol. 111(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:riibaf:v:63:y:2022:i:c:s0275531922001830. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.