• Journal of Distribution Research
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• v.17 no.2
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• pp.93-115
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• 2012

This study empirically examines the impact of changes in market shares among retailing types on the price index. The retailing type is classified into 6 groups: department store, big mart, super market, convenient store, specialty merchant, and on-line store. The market shares of retailing types are calculated by the ratio of each retailing type monthly sales to total monthly retailing sales in which total retailing sales is the sum of each retailing type sales. We employed several price indices: consumer price index (CPI), CPI for living necessaries, and fresh food price index. In addition, this study used fundamental price indices based on 25 product families as well as 42 representative products. The empirical model also included several variables in order to control for the macroeconomic effects and those variables are the exchange rate, M1, an oil price, and the industrial production index. The data is monthly time-series data spanning over the period from January 2000 to December 2010. In order to test for the stability of data series, we conducted ADF test and PP test in which the model and length of lag were determined by the relevant previous literature and based on the AIC. The empirical results indicate that changes in market shares among retailing types have impacts on the price index. Table A shows that impacts differ as to which price index to use and which product families and products to use. For department store, it lowers the price of food and non-alcoholic beverages, home appliances, fresh food, fresh and vegetables, but it keeps the price high for fresh fruit. The big mart retailing type has a positive impact on the price of food, nut has a negative effect on clothing and foot wear, non-food, and fresh fruit. For super market, it has a positive impact on food and non-alcoholic beverages, fresh food, fresh shellfishes, but increases the price of CPI for living necessaries and non-food. The specialty merchant retailing type increases the price level of CPI for living necessaries and fresh fruit. For on-line store type, it keeps the price high for CPI for living necessaries and non-food as well as fresh fruit. For the analysis based on 25 product families shows that changes in market shares among retailing types also have different effects on the price index. Table B summarizes the different results. The 42 representative product level analysis is summerized in Table C and it indicates that changes in market shares among retailing types have different effects on the price index. The study offers the theoretical and practical implication to these findings and also suggests the direction for the further analysis.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.535-543
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• 2019

This study was conducted to find a pathway from the general government debt to GDP ratio(GDR) to the age standardized Suicide Rate(suicide rate). The variables used in this study are GDR, the consumer price index for living necessaries(CPIL), the household debt to GDP ratio(Household Debt), and suicide rate. The data used in this study were standardized data from 2001 to 2015 of Korean Statistical Information Service(KOSIS) and the path analysis was performed using the analysis IBM SPSS 22 and Amos. As a result of the path analysis, the path of GDR-CPIL-Household Debt-Suicide rate, and the direct of effect were in order 0.954, 0.904 and 0.675 were confirmed. The indirect effect of GDR on Household Debt is 0.862, GDR on Sucide Rate is 0.581, CPIL on Suicide Rate is 0.610. Neither of these indirect effect coefficient was significant(p>0.05).