2015
DOI: 10.1016/j.sbspro.2015.11.140
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Foreign Bank Entry and Credit Allocation to SMEs: Evidence from ASEAN Countries

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Cited by 11 publications
(8 citation statements)
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“…If it is compared to the descriptive data, it shows that the average NPL of rural banks in West Java is much higher than the 5 percent limit; Therefore, it has been a crucial task for rural banks’ management in West Java to recover and settle the bad loans, in order to enhance their capacity to provide lending to MSBs in the future. The finding of a negative association between banks’ NPL and the banks’ loan provision for MSBs has coincided with Peek and Rosengren (1998) but does not support Viverita et al (2015).…”
Section: The Relationship Between Bank Efficiency and Msbs Loans Of Rural Banks In West Java Indonesiamentioning
confidence: 82%
See 1 more Smart Citation
“…If it is compared to the descriptive data, it shows that the average NPL of rural banks in West Java is much higher than the 5 percent limit; Therefore, it has been a crucial task for rural banks’ management in West Java to recover and settle the bad loans, in order to enhance their capacity to provide lending to MSBs in the future. The finding of a negative association between banks’ NPL and the banks’ loan provision for MSBs has coincided with Peek and Rosengren (1998) but does not support Viverita et al (2015).…”
Section: The Relationship Between Bank Efficiency and Msbs Loans Of Rural Banks In West Java Indonesiamentioning
confidence: 82%
“…In the case of Indonesia and other countries in ASEAN, Viverita et al (2015) examine the relationship between foreign ownership and bank loan allocation for SMEs. The findings show that without specific policy regulations to meet the needs of SMEs, foreign banks will always tend only to benefit large companies.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Similar research was conducted by [9] on a sample of banks in Asia. They aimed to identify the impacts of foreign banks on MSME credit distribution.…”
Section: S0mentioning
confidence: 65%
“…Looking for evidence at such behavior in Indonesia, it was actually the national bank that distributed largest MSME credit. Viverita et al [9] used panel data for the regression model with the bank performance indicator such as NPL and CAR, as its variables.…”
Section: S0mentioning
confidence: 99%
“…The weak performance of SMEs due to lack of access to finance, technology, skills and product quality. In addition, Viverita et al (2015) found that greenfield banks tend to lend a smaller proportion to SMEs than take-over banks. They prefer to lend to "creditworthy" customers like larger corporations.…”
Section: Introductionmentioning
confidence: 99%