IDEAS home Printed from https://ideas.repec.org/a/eee/ecofin/v74y2024ics1062940824001098.html
   My bibliography  Save this article

Temporal and spatial heterogeneity of resource misallocation in Chinese banks and its influential factors

Author

Listed:
  • Zhao, Wensha
  • Guo, Qingbin

Abstract

This study measures the degree of resource misallocation in Chinese banks and investigates its temporal and spatial variations. Our findings suggest that resource misallocation is prevalent in Chinese banks. The primary source of this misallocation is inter-regional disparities, but both regional imbalances and the misallocation of resources have decreased over time. Multiple factors contribute to the heterogeneity of resource misallocation within banks. While financial development, human capital, and ownership structures exacerbate the misallocation, fiscal decentralization, financial openness, industrial structure, and urbanization levels alleviate it. However, the intensity and direction of these effects differ across regions, leading to visible spatial disparities.

Suggested Citation

  • Zhao, Wensha & Guo, Qingbin, 2024. "Temporal and spatial heterogeneity of resource misallocation in Chinese banks and its influential factors," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:ecofin:v:74:y:2024:i:c:s1062940824001098
    DOI: 10.1016/j.najef.2024.102184
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062940824001098
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.najef.2024.102184?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. Feng Dong & Jianjun Miao & Pengfei Wang, 2018. "The perils of credit booms," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 66(4), pages 819-861, December.
    2. Wei, Xu & Chen, Yongwei & Zhou, Mohan & Zhou, Yi, 2016. "SOE preference and credit misallocation: A model and some evidence from China," Economics Letters, Elsevier, vol. 138(C), pages 38-41.
    3. Ebrahimy, Ehsan, 2022. "Liquidity choice and misallocation of credit," European Economic Review, Elsevier, vol. 142(C).
    4. Diego Restuccia & Richard Rogerson, 2017. "The Causes and Costs of Misallocation," Journal of Economic Perspectives, American Economic Association, vol. 31(3), pages 151-174, Summer.
    5. Liu, Jinyu & Wang, Zhengwei & Zhu, Wuxiang, 2021. "Does privatization reform alleviate ownership discrimination? Evidence from the Split-share structure reform in China," Journal of Corporate Finance, Elsevier, vol. 66(C).
    6. Ninghua Zhong & Mi Xie & Zhikuo Liu, 2019. "Chinese Corporate Debt and Credit Misallocation," Asian Economic Papers, MIT Press, vol. 18(1), pages 1-34, Winter/Sp.
    7. Allen, Franklin & Qian, Yiming & Tu, Guoqian & Yu, Frank, 2019. "Entrusted loans: A close look at China's shadow banking system," Journal of Financial Economics, Elsevier, vol. 133(1), pages 18-41.
    8. Zhefan Piao & Jini Jia & Fangyan Shen & Rongda Chen, 2016. "Research of Microcosmic Affection Factors on Capital Misallocation: A Case of Chinese Listed Companies," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-12, September.
    9. Shenoy, Ajay, 2017. "Market failures and misallocation," Journal of Development Economics, Elsevier, vol. 128(C), pages 65-80.
    10. Abhijit V. Banerjee & Benjamin Moll, 2010. "Why Does Misallocation Persist?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 189-206, January.
    11. Gersbach, Hans & Rochet, Jean-Charles, 2017. "Capital regulation and credit fluctuations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 113-124.
    12. Guo, Shen & Jiang, Zheng & Shi, Huimin, 2018. "The business cycle implications of bank discrimination in China," Economic Modelling, Elsevier, vol. 73(C), pages 264-278.
    13. Chen, Joy & Cheng, Zijun & Gong, Robin Kaiji & Li, Jinlin, 2022. "Riding out the COVID-19 storm: How government policies affect SMEs in China," China Economic Review, Elsevier, vol. 75(C).
    14. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    15. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    16. Jianmin Liu & Xiaomei Hu & Hongli Tang, 2016. "Fiscal Decentralization and Regional Financial Efficiency: An Empirical Analysis of Spatial Durbin Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-14, May.
    17. Koong, Seow Shin & Law, Siong Hook & Ibrahim, Mansor H., 2017. "Credit expansion and financial stability in Malaysia," Economic Modelling, Elsevier, vol. 61(C), pages 339-350.
    18. Aoki, Shuhei, 2012. "A simple accounting framework for the effect of resource misallocation on aggregate productivity," Journal of the Japanese and International Economies, Elsevier, vol. 26(4), pages 473-494.
    19. Gabriel, Stuart A. & Rosenthal, Stuart S., 2013. "Urbanization, agglomeration economies, and access to mortgage credit," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 42-50.
    20. Shikong (Scott) Luo, 2019. "Credit Misallocation, Endogenous TFP Changes, and Economic Fluctuation in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(9), pages 1909-1925, July.
    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. Laiqun Jin & Changwei Mo & Bochao Zhang & Bing Yu, 2018. "What Is the Focus of Structural Reform in China?—Comparison of the Factor Misallocation Degree within the Manufacturing Industry with a Unified Model," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    2. Weng, Liying & Xu, Changsheng & Yi, Ming, 2024. "Resource misallocation in China: Biased subsidies versus credit discrimination," Economic Modelling, Elsevier, vol. 134(C).
    3. Daniela Marconi & Christian Upper, 2017. "Capital Misallocation and Financial Development: A Sector-Level Analysis," Temi di discussione (Economic working papers) 1143, Bank of Italy, Economic Research and International Relations Area.
    4. Julia M. Puaschunder, 2019. "Artificial Intelligence Market Disruption," Proceedings of the 13th International RAIS Conference, June 10-11, 2019 01 JP, Research Association for Interdisciplinary Studies.
    5. Laiqun Jin & Xiuyan Liu & Sam Hak Kan Tang, 2021. "High-Technology Zones, Misallocation of Resources among Cities and Aggregate Productivity: Evidence from China," Economics Discussion / Working Papers 21-11, The University of Western Australia, Department of Economics.
    6. Trenczek, Jan & Wacker, Konstantin M., 2023. "Human Capital Misallocation and Output per Worker Differences: Beyond Cobb-Douglas," GLO Discussion Paper Series 1331, Global Labor Organization (GLO).
    7. Claire Giordano, 2023. "Revisiting the real exchange rate misalignment‐economic growth nexus via the across‐sector misallocation channel," Review of International Economics, Wiley Blackwell, vol. 31(4), pages 1329-1384, September.
    8. Zhao, Feifei & Hu, Zheng & Yi, Ping & Zhao, Xu, 2024. "Does environmental decentralization improve industrial ecology? Evidence from China's Yangtze River Economic Belt," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1250-1270.
    9. Maurice J.G. Bun & Jasper Winter, 2022. "Capital and labor misallocation in the Netherlands," Journal of Productivity Analysis, Springer, vol. 57(1), pages 93-113, February.
    10. Lu, Shenghua & Wang, Hui, 2023. "How revolving-door recruitment makes firms stand out in land market: Evidence from China," China Economic Review, Elsevier, vol. 78(C).
    11. Lu Liu & Yu Tian & Haiquan Chen, 2023. "The Costs of Agglomeration: Misallocation of Credit in Chinese Cities," Land, MDPI, vol. 12(3), pages 1-19, February.
    12. Wang, Shuhong & Zhao, Danqing & Chen, Hanxue, 2020. "Government corruption, resource misallocation, and ecological efficiency," Energy Economics, Elsevier, vol. 85(C).
    13. Yu, Chin-Hsien & Wu, Xiuqin & Lee, Wen-Chieh & Zhao, Jinsong, 2021. "Resource misallocation in the Chinese wind power industry: The role of feed-in tariff policy," Energy Economics, Elsevier, vol. 98(C).
    14. Zhang, Shangfeng & Luo, Jiayu & Huang, Duen-Huang & Xu, Jingjue, 2023. "Market distortion, factor misallocation, and efficiency loss in manufacturing enterprises," Journal of Business Research, Elsevier, vol. 154(C).
    15. Choi, Woo Jin & Roh, Woo Jin, 2023. "Service Matters: Capital Misallocation and Sectoral Economic Growth," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 45(1), pages 1-32.
    16. Jin, Laiqun & Cao, Kairui & Li, Jiaye & Xu, Qunfang, 2024. "Information infrastructure construction and optimization of resources allocation among firms: Evidence from “Broadband China” strategy," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 36-53.
    17. Sampreet Singh Goraya, 2019. "How does Caste Affect Entrepreneurship? Birth vs Worth," Working Papers 1104, Barcelona School of Economics.
    18. Fei Liu & Ting Nan & Xinliang Wang, 2022. "Causes and Evolution Characteristics of Green Innovation Efficiency Loss: The Perspective of Factor Mismatch under Local Government Competition," Sustainability, MDPI, vol. 14(14), pages 1-29, July.
    19. Yidan Liang, 2023. "The effect of capital and labour distortion on innovation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 1709-1737, June.
    20. Yang, Mian & Yang, Fuxia & Sun, Chuanwang, 2018. "Factor market distortion correction, resource reallocation and potential productivity gains: An empirical study on China's heavy industry sector," Energy Economics, Elsevier, vol. 69(C), pages 270-279.

    More about this item

    Keywords

    Bank resource; Resource misallocation; Temporal and spatial heterogeneity; China;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    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:ecofin:v:74:y:2024:i:c:s1062940824001098. 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/620163 .

    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.