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Industry Clustering and Financial Constraints: A Reinterpretation Based on Fixed Asset Liquidation

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  • Rui Mao

Abstract

This article reinvestigates the effects of industry clustering on financial constraints, with a focus on the firm-bank interplay. In a model featuring asymmetrical information, firms pledge fixed assets as collateral for bank loans. The amount of borrowing is limited by the collateral’s market value. By increasing the number of bidders in the case of liquidation auctions, industry clustering raises the collateral’s market value and relaxes financial constraints. This effect is weaker if firms tend to receive a synchronized negative shock but is stronger if they tend to exhibit high valuation of fixed assets. These predictions are confirmed by China’s firm-level survey data. In particular, industry clustering reduces investment–cash flow sensitivity, and the effect is larger in industries with low correlations between sales values and GNP, large coefficients of variation of sales growth, and a large share of fixed assets in total assets. These conclusions are robust to model specifications and can be extended to analyses on various symptoms of financial constraints. They are also valid considering the issue of endogeneity.

Suggested Citation

  • Rui Mao, 2016. "Industry Clustering and Financial Constraints: A Reinterpretation Based on Fixed Asset Liquidation," Economic Development and Cultural Change, University of Chicago Press, vol. 64(4), pages 795-821.
  • Handle: RePEc:ucp:ecdecc:doi:10.1086/686582
    DOI: 10.1086/686582
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    References listed on IDEAS

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    Cited by:

    1. Li, Yunhe & Tina Zhang, Xiaotian, 2023. "Rent-seeking in bank credit and firm R&D innovation: The role of industrial agglomeration," Journal of Business Research, Elsevier, vol. 159(C).
    2. Ye Liu & Yiyun Wu & Xiwei Zhu, 2024. "Industrial clusters and carbon emission reduction: evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(2), pages 557-597, August.

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