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A study on the effects of macroeconomic variables
  • - Hea-Jin Lim (Korea Credit Guarantee Funds)
[Abstract]
Despite of the conflicting debates over the government intervention in credit markets, public credit guarantee programs have become more popular over the past decades. However, empirical findings show that government has an important role to play in funding management, but less so in use of risk-based pricing, risk assessment management mechanism. In this backgrounds, this study analyzes the macroeconomic reasons for the ratio of non-performing loans to public credit guarantee funds using an econometric model estimated with time series data from 1999Q1 to 2008Q2. To this end, unit root test, co-integration test error-correction model are employed. Empirical results show that the loan loss ratio in public credit guarantee funds has a significant short- long-run relationship with the macroeconomic variables including oil price, GDP growth rate, interest rate, etc. These results can be used as quantitative information for risk management of public credit guarantee funds in Korea.
An Empirical Analysis on Modeling the Relationship between Networking Perceived Firm Performances of SMEs
  • - Chung (Soongsil University)
  • - Dae Yong (Soongsil University)
  • - Yang
  • - Jun Hwan
[Abstract]
Network theory suggests that the ability of owners to gain access to resources not under their control in a cost effective way through networking can influence the success of SMEs. To date, however, there has been little empirical support for this proposition, as to networking effects of newly founded firm growing firm to performance, the relations between performance each strong ties weak ties, also network factors performances. This study is intended to explore networking effects of SMEs owners influencing to firm performance using these variables.
Major findings of this study indicate 1) networking effects of growing firm affects stronger to firm performance than that of newly founded firm, 2) weak tie gives bigger impacts to firm performance than strong tie, 3) network range has same significant impact to firm performance as network frequency does, 4) both smaller network range higher network frequency are more important to firm performance, 5) network trust gives a significant influence to firm performance, as the result of multiple regression analysis.