IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v89y2024ipap1583-1600.html
   My bibliography  Save this article

The influence of the bank–firm relationship on enterprises’ technological innovation efficiency: Evidence from China

Author

Listed:
  • Yin, Lei
  • Du, Shanxing
  • Chen, Ge

Abstract

Technological innovation efficiency is an important factor in achieving high-quality and sustainable economic development. Using bank–firm and technological innovation efficiency data from 2008 firms from 2011 to 2020, this paper reveals the mechanisms in and heterogeneity of the impact of the bank–firm relationship on technological innovation efficiency in China. The results indicate the following. (1) The technological innovation efficiency of enterprises in China has shown an upward trend, but remains below the optimal level. In addition, the level of technological innovation efficiency of state-owned enterprises is higher than that of non-state-owned enterprises. (2) The bank–firm relationship significantly improves technological innovation efficiency, and a series of endogeneity and robustness tests show that the results are robust. (3) The bank–firm relationship promotes technological innovation efficiency through the channels of financing constraints and information asymmetry. (4) A heterogeneity analysis shows that the positive role of the bank–firm relationship on technological innovation efficiency is more noticeable in state-owned firms, developed financial regions, and non high-tech industries. Finally, valuable policy advice is proposed based on the empirical results.

Suggested Citation

  • Yin, Lei & Du, Shanxing & Chen, Ge, 2024. "The influence of the bank–firm relationship on enterprises’ technological innovation efficiency: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1583-1600.
    • Handle: RePEc:eee:reveco:v:89:y:2024:i:pa:p:1583-1600
    DOI: 10.1016/j.iref.2023.09.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056023003696
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.iref.2023.09.014?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. Pietro Alessandrini & Andrea F. Presbitero & Alberto Zazzaro, 2010. "Bank size or distance: what hampers innovation adoption by SMEs?," Journal of Economic Geography, Oxford University Press, vol. 10(6), pages 845-881, November.
    2. Stefania Cosci & Valentina Meliciani & Valentina Sabato, 2016. "Relationship lending and innovation: empirical evidence on a sample of European firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 25(4), pages 335-357, June.
    3. Giannetti, Caterina, 2012. "Relationship lending and firm innovativeness," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 762-781.
    4. Song, Malin & Ai, Hongshan & Li, Xie, 2015. "Political connections, financing constraints, and the optimization of innovation efficiency among China's private enterprises," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 290-299.
    5. Burak Güner, A. & Malmendier, Ulrike & Tate, Geoffrey, 2008. "Financial expertise of directors," Journal of Financial Economics, Elsevier, vol. 88(2), pages 323-354, May.
    6. Chun Chang & Guanmin Liao & Xiaoyun Yu & Zheng Ni, 2014. "Information from Relationship Lending: Evidence from Loan Defaults in China," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(6), pages 1225-1257, September.
    7. Li, Chengming & Xu, Yang & Zheng, Hao & Wang, Zeyu & Han, Haiting & Zeng, Liangen, 2023. "Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 81(C).
    8. Rajan, Raghuram G, 1992. "Insiders and Outsiders: The Choice between Informed and Arm's-Length Debt," Journal of Finance, American Finance Association, vol. 47(4), pages 1367-1400, September.
    9. Raghuram G. Rajan & Luigi Zingales, 2001. "Financial Systems, Industrial Structure, and Growth," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 17(4), pages 467-482.
    10. Hu, Mei-Chih & Mathews, John A., 2005. "National innovative capacity in East Asia," Research Policy, Elsevier, vol. 34(9), pages 1322-1349, November.
    11. King, Robert G. & Levine, Ross, 1993. "Finance, entrepreneurship and growth: Theory and evidence," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 513-542, December.
    12. Greco, Marco & Grimaldi, Michele & Cricelli, Livio, 2017. "Hitting the nail on the head: Exploring the relationship between public subsidies and open innovation efficiency," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 213-225.
    13. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    14. Jin, Baoling & Han, Ying & Kou, Po, 2023. "Dynamically evaluating the comprehensive efficiency of technological innovation and low-carbon economy in China's industrial sectors," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    15. Liu, Duan & Zhou, Qianzhen & Chen, Shiqi & Wan, Hong & He, Hongbo, 2021. "Capital market access and innovation efficiency: A natural experiment from China’s pilot VAT reform in 2012," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 549-566.
    16. Lai, Shaojie & Li, Xiaorong & Chan, Kam C., 2020. "Does bank shareholding impact corporate innovation? Evidence from China," Economic Modelling, Elsevier, vol. 92(C), pages 57-69.
    17. Zheng, Gaoping & Wang, Shuxun & Xu, Yongxin, 2018. "Monetary stimulation, bank relationship and innovation: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 237-248.
    18. Douglas W. Diamond & Raghuram G. Rajan, 2001. "Liquidity Risk, Liquidity Creation, and Financial Fragility: A Theory of Banking," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 287-327, April.
    19. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    20. El Mehdi, Rachida & Hafner, Christian M., 2014. "Inference in stochastic frontier analysis with dependent error terms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 102(C), pages 104-116.
    21. Ongena, Steven & Smith, David C., 2000. "What Determines the Number of Bank Relationships? Cross-Country Evidence," Journal of Financial Intermediation, Elsevier, vol. 9(1), pages 26-56, January.
    22. Zeng, Juying & Škare, Marinko & Lafont, Juan, 2021. "The co-integration identification of green innovation efficiency in Yangtze River Delta region," Journal of Business Research, Elsevier, vol. 134(C), pages 252-262.
    23. Sun, Shaoqin & Li, Xing, 2022. "Productive services agglomeration, financial development and regional innovation efficiency in the Yangtze River Economic Zone," Finance Research Letters, Elsevier, vol. 50(C).
    24. Gu, Leilei, 2023. "Executives’ financial experience and myopic marketing management: A myopic loss-aversion perspective," Journal of Business Research, Elsevier, vol. 157(C).
    25. Feng, Gen-Fu & Niu, Peng & Wang, Jun-Zhuo & Liu, Jian, 2022. "Capital market liberalization and green innovation for sustainability: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 610-623.
    26. Miao, Cheng-lin & Duan, Meng-meng & Zuo, Yang & Wu, Xin-yu, 2021. "Spatial heterogeneity and evolution trend of regional green innovation efficiency--an empirical study based on panel data of industrial enterprises in China's provinces," Energy Policy, Elsevier, vol. 156(C).
    27. Fang, Zhen & Razzaq, Asif & Mohsin, Muhammad & Irfan, Muhammad, 2022. "Spatial spillovers and threshold effects of internet development and entrepreneurship on green innovation efficiency in China," Technology in Society, Elsevier, vol. 68(C).
    28. Charles J. Hadlock & Joshua R. Pierce, 2010. "New Evidence on Measuring Financial Constraints: Moving Beyond the KZ Index," The Review of Financial Studies, Society for Financial Studies, vol. 23(5), pages 1909-1940.
    29. Jiang, Xiandeng & Kong, Dongming & Xiao, Chengrui, 2020. "Policy certainty and heterogeneous firm innovation: Evidence from China," China Economic Review, Elsevier, vol. 63(C).
    30. Yang, Haochang & Li, Lianshui & Liu, Yaobin, 2022. "The effect of manufacturing intelligence on green innovation performance in China," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    31. Hong, Jin & Feng, Bing & Wu, Yanrui & Wang, Liangbing, 2016. "Do government grants promote innovation efficiency in China's high-tech industries?," Technovation, Elsevier, vol. 57, pages 4-13.
    32. Chen, Xihui Haviour & Tee, Kienpin & Chang, Victor, 2022. "Accelerating Innovation Efficiency through Agile Leadership: The CEO Network Effects in China," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    33. Wan, Qunchao & Chen, Jin & Yao, Zhu & Yuan, Ling, 2022. "Preferential tax policy and R&D personnel flow for technological innovation efficiency of China's high-tech industry in an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    34. Lu, Zhengfei & Zhu, Jigao & Zhang, Weining, 2012. "Bank discrimination, holding bank ownership, and economic consequences: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 341-354.
    35. Luo, Yusen & Lu, Zhengnan & Wu, Chao, 2023. "Can internet development accelerate the green innovation efficiency convergence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    36. Yang, Lihong & Wang, Shixun, 2022. "Do fintech applications promote regional innovation efficiency? Empirical evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    37. Wang, Lanfang & Wang, Yue & Zhou, Jing, 2022. "Political connection,government R&D subsidies and innovation efficiency: Evidence from China," Finance Research Letters, Elsevier, vol. 48(C).
    38. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    39. Giacinto Micucci & Paola Rossi, 2017. "Financing R&D investments: an analysis on Italian manufacturing firms and their lending banks," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 44(1), pages 23-49, March.
    Full references (including those not matched with items on IDEAS)

    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. XU Peng, 2017. "Bank-Firm Relationship and Small Business Innovation," Discussion papers 17062, Research Institute of Economy, Trade and Industry (RIETI).
    2. Giacinto Micucci & Paola Rossi, 2017. "Financing R&D investments: an analysis on Italian manufacturing firms and their lending banks," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 44(1), pages 23-49, March.
    3. Herrera, Ana María & Minetti, Raoul, 2007. "Informed finance and technological change: Evidence from credit relationships," Journal of Financial Economics, Elsevier, vol. 83(1), pages 223-269, January.
    4. Luo, Yusen & Lu, Zhengnan & Wu, Chao, 2023. "Can internet development accelerate the green innovation efficiency convergence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    5. Haochang Yang & Xuan Zhu, 2022. "Research on Green Innovation Performance of Manufacturing Industry and Its Improvement Path in China," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    6. Demirgüç-Kunt, Asli & Horváth, Bálint L. & Huizinga, Harry, 2017. "How does long-term finance affect economic volatility?," Journal of Financial Stability, Elsevier, vol. 33(C), pages 41-59.
    7. Jarko Fidrmuc & Philipp Schreiber & Martin Siddiqui, 2018. "Intangible Assets and the Determinants of a Single Bank Relation of German SMEs," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(1), pages 5-30.
    8. Brancati, Emanuele, 2013. "Innovation, financial constraints and relationship lending: evidence from Italy during the recent crises," MPRA Paper 50329, University Library of Munich, Germany.
    9. Xin Li & Xingyuan He & Lu Zhou & Shushu Xie, 2022. "Impact of Epidemics on Enterprise Innovation: An Analysis of COVID-19 and SARS," Sustainability, MDPI, vol. 14(9), pages 1-28, April.
    10. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    11. Luigi Guiso & Raoul Minetti, 2010. "The Structure of Multiple Credit Relationships: Evidence from U.S. Firms," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(6), pages 1037-1071, September.
    12. Pang, Silu & Hua, Guihong & Liu, Hui, 2023. "How do R&D capital market distortions affect innovation efficiency in China? Some evidence about spatial interaction and spillover effects," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    13. Zeng, Xiaoming & Chen, Hao & Yin, Yanzhao & Liu, Youjin, 2024. "CEOs’ financial work experience and firms’ outbound investments," Journal of Multinational Financial Management, Elsevier, vol. 74(C).
    14. Beck, Thorsten & Demirguc-Kunt, Asli & Levine, Ross & Maksimovic, Vojislav, 2000. "Financial structure and economic development - firm, industry, and country evidence," Policy Research Working Paper Series 2423, The World Bank.
    15. Hsu, Po-Hsuan & Tian, Xuan & Xu, Yan, 2014. "Financial development and innovation: Cross-country evidence," Journal of Financial Economics, Elsevier, vol. 112(1), pages 116-135.
    16. Chen Lin & Sibo Liu & Lai Wei, 2023. "Banking and innovation: a review," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 21(1), pages 143-176, January.
    17. Jinbo Wang & Maosheng Ran & Yi Li & Heng Zhan, 2022. "Is venture capital a catalyst for innovative entrepreneurship in China? Empirical analysis based on the PSM‐DID method," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 1039-1058, June.
    18. Beck, Thorsten & Levine, Ross, 2000. "New firm formation and industry growth - does having a market- or bank-based system matter?," Policy Research Working Paper Series 2383, The World Bank.
    19. Xin Tian & Qiang Mai & Qinan Zhang & Mingshu Lyu & Shiyao Li, 2024. "Analyzing provincial imbalances in green innovation development in china: multi-way efficiency analysis and geodetector approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26115-26146, October.
    20. Yang, Zhenbing & Shao, Shuai & Li, Chengyu & Yang, Lili, 2020. "Alleviating the misallocation of R&D inputs in China's manufacturing sector: From the perspectives of factor-biased technological innovation and substitution elasticity," Technological Forecasting and Social Change, Elsevier, vol. 151(C).

    More about this item

    Keywords

    Technological innovation efficiency; SFA analysis; Banking experience; Bank holding enterprise; Enterprise holding bank;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    Statistics

    Access and download statistics

    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:reveco:v:89:y:2024:i:pa:p:1583-1600. 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/inca/620165 .

    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.