Quality management practices and their relationship to buyer’s supplier ratings: a study in the Korean automotive industry

This research explores if quality management practices are different among suppliers whose performance is rated high, medium, or low by a common buying company and identifies which specific practices contribute to the differences. The entire population of first-tier suppliers to a Korean auto assembler was surveyed to measure use of quality management practices. Useable returns were received from 25% of the suppliers surveyed. To measure conformance quality and overall rating, suppliers were categorized into high, medium, and low performing groups based on the buying company’s data. Multivariate analysis of variance was done using general linear model (GLM-MANOVA) to explore differences in the high-, medium-, and low-performing supplier groups based on their use of quality management practices. No statistically significant differences were found when suppliers were categorized based on conformance quality. However, when categorized based on overall rating, the highest rated suppliers were found to emphasize process management and employee satisfaction to a greater degree than the lowest rated suppliers.     

Price Run-up in Housing Markets,Access to Bank Lending and House Prices in Korea

This paper studies the causal relationship between house prices and the access to bank lending in Kangnam, the hottest submarket in Seoul and four ‘cold’ markets which have shown relatively modest price increases. In response to the rapid escalation of house prices in Seoul, primarily in Kangnam in recent years, the Korean government implemented a number of policies to stabilize house prices. In particular, it introduced more strict limits on loan-to-value ratio and debt-to-income ratio as part of the mortgage loan qualification process in order to restrict the availability of bank lending for the housing market. The short-run influence of the bank lending on the apartment prices is clearly present in ‘cold’ markets, while it is not in Kangnam, the ‘hot’ market, even though the long-run influence is stronger in Kangnam than in the other markets. This result holds for the entire sample period (1999–2006) as well as for the subperiods before and after the introduction of lending restrictions in August, 2005. It also holds for Kangnam and Kangbuk for an extended period of 1988 to 2006. Our results suggest that in the short run the lending restriction may cause a disruption in untargeted housing markets while it has little influence on the apartment prices in the targeted market. We also find that banks have adjusted the bank lending in response to changes in the house prices in Kangnam as well as in the other markets.     

Occupational Mobility Pattern in Chonju,Korea

This paper investigates the existence of the inter‐dependence between the Indian stock market and Asia's emerging markets since 1990. This study analyzes whether the MSCI Asian Index has significantly influenced the Bombay Stock Exchange Index before, during, and after the Asian financial crisis. To address this issue, the author first uses a rolling correlation, and conduct uni‐directional and bi‐directional causality tests using the Granger causality test. He then examines the impulse response functions and variance decompositions of forecast errors based on a VAR (vector auto‐regression) model. These tests provide evidence that the influence of the Asian market on the Indian market has increased during and after the Asian financial crisis. These results can be interpreted as evidence that the Indian market has been moving toward integration with other Asian markets.     

Interactions of stock markets within the greater China economic bloc

This paper investigates what types of mutual relationships exist among the stock markets of the Greater China economic bloc, which include stock markets in Hong Kong and Taiwan, as well as stock markets in Shanghai and Shenzhen. Using the unit root test, co‐integration analysis, and vector error correction model (VECM), this paper analyzes interrelationships among daily stock indices for the period from the beginning of 1992 to the end of 2001. Test results indicate the existence of one co‐integrating vector, implying that a long‐run equilibrium relationship holds among the four stock indices. Variance decomposition of forecast errors provides evidence that the Shenzhen stock market is the market most heavily influenced by the unexpected variations of other markets in the Greater China economic bloc.