• 가정과삶의질연구
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• 제29권4호
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• pp.125-145
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• 2011

The purposes of this study were to examine low-income households' financial statuses and the socio-economic characteristics of single-person and non-single person households according to the financial indexes used for evaluating financial security and growth status developed based on financial ratios. Using 2009 KLIPS(Korean Labor & Income Panel Survey) data collected by the Korean Labor Institute, the satisfaction levels from the indexes were analyzed and compared between the two household types. The results showed that 46.0% of single-person households were not satisfactory in terms of all financial growth indexes but were partially satisfactory in terms of all financial security indexes. These householders tended to be females and in the their 70s, who lived in Seoul or in a suburb of Seoul, Korea. They reported problems with a lack of financial growth possibilities. 47.0% of non-single person households were not satisfactory in terms of all financial growth indexes but were partially satisfactory in terms of all financial security indexes. These householders tended to be males in their 60s and 70s with no job who were living in Seoul or in a suburb of Seoul, Korea. They reported having low level of liquidity and high level of debt redemption. 42.6% of single-person households were not satisfactory in terms of both financial security and growth indexes partially. These householders tended to be females in their 20s or 70s who were living in rural areas. They reported problems related to an adverse balance between household income and expenditures and a large scale of debt. 43.1% of non-single households were not satisfactory in terms of both financial security and growth indexes partially. These householders tended to be males in their 60s or 70s and homeowners. They reported problem related to an adverse balance of household income and expenditures and high a level of housing expenditures and liquidity. The research findings have implication for policy makers considering financial support programs and welfare programs for low-income householders, considering the recent changes in households structures.

• 유통과학연구
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• 제12권11호
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• pp.77-83
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• 2014

Purpose - The National Agricultural Cooperative Federation of Korea and National Fisheries Cooperative Federation of Korea have prosecuted both financial and retail businesses. As cooperatives are public institutions and receive government support, their sound management is required by the Financial Supervisory Service in Korea. This is mainly managed by CAEL, which is changed by CAMEL. However, NFFC's business section, managing the finance and retail businesses, is unified and evaluated; the CAEL model has an insufficient classification to evaluate the retail industry. First, there is discrimination power as regards CAEL. Although the retail business sector union can receive a higher rating on a CAEL model, defaults have often been reported. Therefore, a default prediction model is needed to support a CAEL model. As we have the default prediction model using a subdivision of indexes and statistical methods, it can be useful to have a prevention function through the estimation of the retail sector's default probability. Second, separating the difference between the finance and retail business sectors is necessary. Their businesses have different characteristics. Based on various management indexes that have been systematically managed by the National Fisheries Cooperative Federation of Korea, our model predicts retail default, and is better than the CAEL model in its failure prediction because it has various discriminative financial ratios reflecting the retail industry situation. Research design, data, and methodology - The model to predict retail default was presented using logistic analysis. To develop the predictive model, we use the retail financial statements of the NFCF. We consider 93 unions each year from 2006 to 2012 to select confident management indexes. We also adapted the statistical power analysis that is a t-test, logit analysis, AR (accuracy ratio), and AUROC (Area Under Receiver Operating Characteristic) analysis. Finally, through the multivariate logistic model, we show that it is excellent in its discrimination power and higher in its hit ratio for default prediction. We also evaluate its usefulness. Results - The statistical power analysis using the AR (AUROC) method on the short term model shows that the logistic model has excellent discrimination power, with 84.6%. Further, it is higher in its hit ratio for failure (prediction) of total model, at 94%, indicating that it is temporally stable and useful for evaluating the management status of retail institutions. Conclusions - This model is useful for evaluating the management status of retail union institutions. First, subdividing CAEL evaluation is required. The existing CAEL evaluation is underdeveloped, and discrimination power falls. Second, efforts to develop a varied and rational management index are continuously required. An index reflecting retail industry characteristics needs to be developed. However, extending this study will need the following. First, it will require a complementary default model reflecting size differences. Second, in the case of small and medium retail, it will need non-financial information. Therefore, it will be a hybrid default model reflecting financial and non-financial information.