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This paper investigates agriculture-related loan default in 2002–2009 through a large data set from a leading Chinese state-owned bank. Using logit regression, we find the default rate on agriculture-related loans is significantly higher than that on non agriculture-related loans. We find that base interest rates, loan maturity, the type of collateral, firm size, ownership structure, and managerial quality rating have a significant impact on agriculture-related loan default, but this also depends on how agriculture-related loans are defined. The results provide insight into the real impact of monetary policy on agriculture-related lending.
Call Number | Location | Available |
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PSB lt.2 - Karya Akhir (Majalah) | 1 |
Penerbit | Jakarta: Bank Indonesia 2020 |
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Edisi | 13th BMEB Call for Papers Special Issue, Volume 23 |
Subjek | China Agriculture Loan default |
ISBN/ISSN | 2460-9196 |
Klasifikasi | NONE |
Deskripsi Fisik | 152 p. |
Info Detail Spesifik | Bulletin of Monetary Economics and Banking |
Other Version/Related | Tidak tersedia versi lain |
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