• KDI Journal of Economic Policy
• /
• v.38 no.4
• /
• pp.23-44
• /
• 2016

Household debt in Korea raises concerns about the resilience of the economy due to its size and quality. Against this backdrop, we investigate if household leverage matters for private consumption in adverse economic environments even without severe financial disruptions. We find that the balance sheet positions in terms of the leverage ratio may weaken consumption growth. We also find that the depressive effect of debt on consumption may differ across types of consumer spending and household characteristics. In particular, the effects of indebtedness have been much stronger in relation to durable goods expenditures than in other areas. In addition, debtors in high-income (wealth) groups have also shown downward adjustments in consumption even more so than low-income (wealth) groups. These findings imply that debtors' precautionary behavior may serve as an important channel from leverage to consumer spending.

• Journal of Families and Better Life
• /
• v.20 no.4
• /
• pp.113-126
• /
• 2002

This study focused on defining and applying the diagnose scales to the household life in context with the family life planning based on the systems approach. In this study the household life consisted in 4 life subareas, i.e. time use, nonhuman resources(housing and durable goods), household financial and communication/problem solving competence of family members. Data were collected from 1200 full-time housewives who live in Seoul, Kyungki, Chungbuk, Jeonnam and Jeonbuk, Kyungnam and Kyungbuk and have at least 1 child in school age. The results show that the 4 areas of household life are in the level under the diagnose scale totally. The results of this study contribute to the systematic family life planning and the Problem solving of general household life. And the scales that are investigated through this study can be used the self family life diagnose Program.

• Journal of Korean Institute of Industrial Engineers
• /
• v.34 no.4
• /
• pp.386-397
• /
• 2008

Due to the rapid advancement of technologies, a growing number of innovative products with a short life-cycle have been introduced to the market. As the life-cycles of such products are shorter than those of durable goods, the demand variation during the life-cycle adds to the difficulty of inventory management. Traditional inventory planning models and techniques mostly deal with products that have long life-cycles. The assumptions on the demand pattern and subsequent solution approaches are generally, not suitable for dealing with products with short life-cycles. In this research, inventory replenishment problems based on the logistic demand model are formulated and solved to facilitate the management of products with short life-cycles. An extended Wagner- Whitin approach is used to determine the replenishment cycle, schedules and lot-sizes.

• KDI Journal of Economic Policy
• /
• v.43 no.2
• /
• pp.103-123
• /
• 2021

This paper examines the impact of the regional cash subsidies which were granted in some districts in addition to the national universal stimulus payment in South Korea related to the COVID-19 pandemic. We evaluate the effects of the cash distribution per resident on aggregate credit and debit card sales and sales by industry using the difference-in-difference method. The increment in card spending due to the cash subsidy is about 1.58%p in total, and this effect is concentrated within a single month. The consumption stimulating effect is prominent among (semi)-durable goods that do not require close interactions between customers and sellers. In contrast, the effect is relatively small in the high-contact face-to-face service sectors and restaurants, areas the COVID-19 pandemic hit directly. On the other hand, some service sectors where customers could wear face masks, such as education and fitness, experienced a substantial sales boost due to the cash subsidy.

• Journal of Global Scholars of Marketing Science
• /
• v.18 no.1
• /
• pp.141-156
• /
• 2008

Market structure analysis is a very useful tool to analyze the competition boundary of the brand or the company. But most of the studies in market structure analysis, the concern lies in nondurable goods such as candies, soft drink and etc. because of the their availability of the data. In the field of durable goods, the limitation of the data availability and the repurchase time period constrain the study. In the analysis of the automobile market, those of views might be more persuasive. The purpose of this study is to analyze the structure of automobile market based on some idea suggested by prior studies. Usually the buyers of the automobile tend to buy upper tier when they buy in the next time. That kind of behavior make it impossible to analyze the structure of automobile market under the level of automobile model. For that reason I tried to analyze the market structure in the brand or company level. In this study, consideration data was used for market structure analysis. The reasons why we used the consideration data are summarized as following. Firstly, as the repurchase time cycle is too long, brand switching data which is used for the market analysis of nondurable good is not avaliable. Secondly, as we mentioned, the buyers of the automobile tend to buy upper tier when they buy in the next time. We used survey data collected in the U.S.A. market in the year of 2005 through questionaire. The sample size was 8,291. The number of brand analyzed in this study was 9 among 37 which was being sold in U.S.A. market. Their market share was around 50%. The brands considered were BMW, Chevrolet, Chrysler, Dodge, Ford, Honda, Mercedes, and Toyota. �� ratio was derived from frequency of the consideration set. Actually the frequency is different from the brand switch concept. In this study to compute the �� ratio, the frequency of the consideration set was used like a frequency of brand switch for convenience. The study can be divided into 2 steps. The first step is to build hypothetical market structures. The second step is to choose the best structure based on the hypothetical market structures, Usually logit analysis is used for the choice best structure. In this study we built 3 hypothetical market structure. They are type-cost, cost-type, and unstructured. We classified the automobile into 5 types, sedan, SUV(Sport Utility Vehicle), Pickup, Mini Van, and Full-size Van. As for purchasing cost, we classified it 2 groups based on the median value. The median value was $28,800. To decide best structure among them, maximum likelihood test was used. Resulting from market structure analysis, we find that the automobile market of USA is hierarchically structured in the form of 'automobile type - purchasing cost'. That is, result showed that automobile buyers considered function or usage first and purchasing cost next. This study has some limitations in the analysis level and variable selection. First, in this study only type of the automobile and purchasing cost were as attributes considered for purchase. Considering other attributes is very needful. Because of the attributes considered, only 3 hypothetical structure could be analyzed. Second, due to the data, brand level analysis was tried. But model level analysis would be better because automobile buyers consider model not brand. To conduct model level study more cases should be obtained. That is for acquiring the better practical meaning, brand level analysis should be conducted when we consider the actual competition which occurred in the real market. Third, the variable selection for building nested logit model was very limited to some avaliable data. In spite of those limitations, the importance of this study lies in the trial of market structure analysis of durable good.

• Korea Trade Review
• /
• v.48 no.3
• /
• pp.199-216
• /
• 2023

Rapidly growing cross-border e-commerce exhibits different characteristics from traditional trade. This paper empirically investigates influencing factors of CBEC trade between Korea and foreign countries including product characteristics, such as product type and unit price. We construct panel data based on Korea's e-commerce export data by country and product and analyze it by the OLS, fixed effect, and random effect estimation. Our main findings can be summarized as follows: geographical distance still remained as an obstacle to the CBEC trade, product unit price, and durable consumer goods dummy variables positively affect e-commerce export of Korea, and capital goods dummy variables negatively affect e-commerce export. This research can help us understand the characteristics of cross-border e-commerce and can be used as a basis for future research using product-specific data.

• Journal of Korean Institute of Industrial Engineers
• /
• v.25 no.1
• /
• pp.67-74
• /
• 1999

Market share is one of the most important measures in the valuation of prospering firm. It plays a role of composite indicator for the competitiveness of firm. So, the understanding of the underlying process of market share is inevitable factor for the econometricians and the business engager. Lately, the Korean Economy has been placed in the control of IMF. This shock will cause a lot of influence over the domestic economy. The idea that the information about the past shock-response experience will do us good for dealing with this kind of economic shocks is not new. Among numerous markets, we pay attention to the durable goods market, especially automobile market. The automobile market has large repercussion effect over the domestic economy on the issue of both national employment and technology integration. We divided the Korean automobile market into three segments: small, medium, and large-sized car, while each proportion of these segments has been changing slowly. We propose a Bayesian approach to detect and forecast structural changes in time series of the market shares in the domestic automobile market, especially for level shifts and drift changes, and compare the empirical results with other existing approaches.

• The Journal of the Korea Contents Association
• /
• v.14 no.8
• /
• pp.374-381
• /
• 2014

We investigated what target (a nationality of an artist) firms select when they are engaged in art collaboration. We identified 137 cases of art collaboration between 2005 and 2013 through the analysis of news contents and we found that Korean firms prefer to artists whose nationality is same with that of those firms. In addition, such preferences disappear when the target of art collaboration is durable goods. This implies that Korean firms prefer to artists whose nationality is different from them in art collaboration because the collaboration with those artists help firms increase product reputation although a collaboration process is not favorable to those firms.

• Journal of the Korean Home Economics Association
• /
• v.42 no.7
• /
• pp.131-143
• /
• 2004

The purpose of this paper is to prepare a satellite account of the household sector that is reflected in the current national income account by approving the economic activities of unpaid household labor as production activity and estimating its value. The study produced three results. First, as different methods of evaluation can be useful according to different study goals or the contents of related policies, it is unreasonable to present a single result for estimating unpaid household labor. This study, therefore, presented the values of housework based on 5 methods, ranging from 124 to 150 trillion won. Second, to input the added value of household production from the fixed capital (household durable goods), this study adopted the declining balance method used in the Korea National Statistical Office. As a result, the total consumption of fixed capital was estimated at approximately 18.8 trillion won. Third, the total added value of unpaid household labor was estimated to range from 143 to 169 trillion wens. The amount is a production value excluded from the SNA which needs to be formed as a separate household satellite account. The ratio of this total value added was 30-35.4 percents to the 1999 GDP in Korea(477 trillion wens).

• The Korean Journal of Community Living Science
• /
• v.12 no.2
• /
• pp.47-59
• /
• 2001

The purpose of this study was to examine the factors affecting financial satisfaction of rural housewives. Data for this study were collected from 202 households living in 8 provinces. The results were as follows; 1) The most frequent financial problems experienced from expenditures on clothes(82.1%), lack of expense for social intercourse (61.47), and difficulty in purchasing durable goods(60.1%) in the order. 2) 44.6% of the respondents said they were satisfied with their net worth, and 21.6% of them confessed they had difficulties in debt redemption while 52.5% of them said they felt pressure about monthly payments of installments, which reveals that farm households find it hard to pay back short-term debt. 3) The path analysis was adopted to see the causal relations among the variables influenced the financial satisfaction. The variables of experiences of economic problems, educational background(graduated from middle school), saving, income, and age appeared to be important in the order of effectiveness. Among them, the variables of saying and experiences of economic problems showed a direct effect, and those of age and saving displayed an indirect effect with the experiences of economic problems as the parameter. From this findings, it is suggested that rural extension workers and educators should emphasize the importance of the financial plan in their educational programs.