Poverty targeting and income impact of subsidised credit on accessed households in the Northern Mountainous Region of Vietnam

This paper uses the data of 1338 rural households in the Northern Mountainous Region of Vietnam to examine the extent to which subsidised credit targets the poor and its impacts. Principal Component Analysis and Propensity Score Matching were used to evaluate the depth of outreach and the income impact of credit. To address the problem of model uncertainty, the approach of Bayesian Model Average applied to the probit model was used. Results showed that subsidised credit successfully targeted the poor households with 24.10% and 69.20% of clients falling into the poorest group and the three bottom groups respectively. Moreover, those who received subsidised credit make up 83% of ethnic minority households. These results indicate that governmental subsidies are necessary to reach the poor and low income households, who need capital but are normally bypassed by commercial banks. Analyses also showed that ethnicity and age of household heads, number of helpers, savings, as well as how affected households are by shocks were all factors that further explained the probability at which subsidised credit has been assessed. Furthermore, recipients obtained a 2.61% higher total income and a 5.93% higher farm income compared to non-recipients. However, these small magnitudes of effects are statistically insignificant at a 5% level. Although the subsidised credit is insufficient to significantly improve the income of the poor households, it possibly prevents these households of becoming even poorer.

Smallholder farmers’ access to credit in the Amathole District Municipality, Eastern Cape Province, South Africa

Provision of credit has being identified as an important instrument for improving the welfare of smallholder farmers directly and for enhancing productive capacity through financing investment by the farmers in their human and physical capital. This study investigated the individual and household characteristics that influence credit market access in Amathole District Municipality, Eastern Cape Province, South Africa, using a cross sectional data from smallholder farmers’ household survey. The aim is to provide a better understanding of the households’ level socio-economic characteristics, not only because they influence household’s demand for credit but also due to the fact that potential lenders are most likely to base their assessment of borrowers’ creditworthiness on such characteristics. The results of the logistic regression suggest that credit market access was significantly influenced by variables such as gender, education, households’ income, value of assets, savings, dependency ratio, repayment capacity and social capital. Implications for rural credit delivery are discussed.

Modell zur Förderung des Wettbewerbs und der Transparenz auf dem Ratingmarkt unter Berücksichtigung der Besonderheiten der deutschen Bankenstruktur

This paper provides a model for the international market of credit ratings in order to promote transparency of rating methodologies and combat the oligopolistic market structure where Standard & Poor‘s, Moody‘s and Fitch Ratings collectively comprise approximately 85 percent of the market. For the German credit market this paper strongly advises the establishment of at least three centralistic credit rating agencies (CRAs), set up and run independently by the large bank institutions – „Großbanken“, „Sparkassen“ and „Genossenschaftsbanken“. By acting as CRAs, universal banks could not only decrease their costs but would also be able to increase competition and transparency. These new credit rating agencies would be subject to the Basel II internal ratings-based (IRB) surveillance standards that go far beyond the Basel II standard approach with its external ratings by the dominating three US-american CRAs. Due to the fact that the new Basle Accord has already been implemented in Europe, this model could be applied all over Europe and possibly even worldwide, assuming the US were to adopt the new capital adequacy rules. This would lead to an increase in the number of CRAs and hence to more competition, as the barriers to entry in the rating industry would not apply to these new institutions because of their expertise in the credit market. The fact that the IRB-criteria already have to be disclosed by law would make the methodologies transparent and subject to approval by national regulators such as the „Bundesanstalt für Finanzdienstleistungsaufsicht“ (BaFin) in Germany. Hence the requirement to set up a new monitoring committee in Europe would become obsolete.