By Anjali Kumar; Manuela Francisco
Company measurement, Financing styles, and credits Constraints in Brazil investigates the significance of establishment dimension with admire to getting access to credits. The primary findings are that measurement strongly impacts entry to credits in comparison to enterprise functionality, and different elements, comparable to administration schooling, position or the commercial zone to which the company belongs. extra findings are that the influence of measurement on entry to credits is bigger for long term loans and that public monetary associations usually tend to lend to massive enterprises. ultimately, monetary entry constraints could have a less important differential impression throughout businesses of other sizes than different constraints, although expense of finance as a constraint is essential.
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Extra resources for Enterprise Size, Financing Patterns And Credit Constraints In Brazil: Analysis Of Data From The Investment Climate Assessment Survey (World Bank Working Papers)
Berger, Allen, Asli Demirguç-Kunt, Ross Levine, and Joseph Haubrich. 2004. ” Journal of Money, Credit, and Banking. Forthcoming. Berger, Allen, Laurence Goldberg, and Lawrence White. 2001. ” European Finance Review 5:115–139. Berger, Allen, Iftekhar Hasan, and Leora Kappler. 2004. ” Journal of Economics Services Research. Forthcoming. Berger, Allen, Leora Kappler, and Gregory Udell. 2001. ” Journal of Banking & Finance 25:2127–2167.
Garments industry is the control dummy. Statistical significance: * significant at 10%, † significant at 5%, and § significant at 1%. 12. 12. 96 1. This refers to firms who have demand for a loan and have received a loan. The universe here is limited to firms which demand for a loan. This models concerns to the second stage model of the two step maximum likelihood probit: supply of credit model. 2. The dummy which controls for whether firms have an overdraft or not is excluded from this specification.
Inst. 8 delivery Total 100 No. 1 Primary school Garments Sales growth Textiles Food processing Industry Incomplete prim. 3 100 100 100 100 249 906 286 138 33 34 Size (no. employees)—frequencies No. of banks 0 1 2 3 4 5 6 7 8 9 10 >10 Total Average No. firms 10 273 464 351 197 119 69 33 0 8 35 38 1597 Size (no. 0 Source: World Bank, Investment Climate Survey—Brazil, 2003. 7. 8. Size, Region, Education, Industry, and Sales Growth Effects on Access to Credit and Credit Constraints Total no. of firms Have a bank loan (% of total no.