• KDI Journal of Economic Policy
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• v.34 no.4
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• pp.91-116
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• 2012

This paper analyzes how the adverse impacts of the global financial crisis on Korea's employment could be mitigated in comparison with the Asian crisis period. The results from error-correction models suggest that the less severe impacts during the global financial crisis could be attributed to (i) smaller GDP reduction, (ii) better maintenance of domestic demand despite a sharp fall of export, (iii) less serious over-employment during the run-up to the crisis, and (iv) less severe credit crunch. Analyses of OECD cross-country data provide corroborating evidence. In order to mitigate adverse impacts on employment, therefore, priority should be given to expansionary macroeconomic policies to keep aggregate domestic demand from collapsing once a crisis is triggered. Also crucial, however, is to maintain sound economic structures such as flexible labor market and adequately supervised financial market.

• Journal of Cadastre & Land InformatiX
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• v.44 no.2
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• pp.231-242
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• 2014

On the Pre-Housing-Sale Systems there are many risks that developers might not fulfill the pre-sale obligations. In korea, in order to protect the people who bought houses from these risk, the Housing Sold Guarantee System was introduced and has been operated. Even though this system if there is accident in the pre-sale warranty business, several problems, such as damages caused to the people who bought the houses, occurs. Therefore, research is needed to Housing Sold Guarantee accident factor. But there are few study about it. This study attempted to analyze influencers on the possibility of the accident. We employ 3,026 data which Korea Housing Guarantee Co., Ltd manages and analyze them empirically, using business characteristics, housing market characteristics, and regional characteristics. Especially this study used to the binary logistic regression model. The results of analysis showed that the accident rate of Housing Sold Guarantee had been effected on the business type, house type, project financing guarantee, operator credit rating, housing market, and regional characteristics.

• Korean Journal of Construction Engineering and Management
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• v.12 no.3
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• pp.53-61
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• 2011

After several collapse accidents of large structures in the early 1990s in Korea, the government enacted a law that architectural, engineering and construction firms are obliged to have insurance for projects over a certain size. Particularly, with regard to insurance in design and construction supervision works (i.e. engineering insurance), although several operation-based problems were pointed out from practitioners, still little research has been done on analyzing current regnlartory and operational state and suggesting policy alternatives. Hence, this study applies Delphi technique to solicit current operational problems and propose a series of improvements on engineering insurance based on interview surveys targeting major market participants: municipalities, engineering firms, and insurance companies. Key findings culminate in adopting guarantee limits based on credit evaluation, abrogating joint surety, covering a loss of life, increasing insurance entrance fee, extending time covered, and etc. Reaching a consensus on the proposed alternatives between the market participants will form the foundation for sound developments of construction design and engineering industry.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.349-360
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• 2020

The study aims to empirically examine the determinants of bank margins from Pakistan, an emerging South Asian economy. To elucidate the importance of the Pakistani banking sector, secondary data has been used, which was extracted from the annual accounts of twenty-four Pakistani scheduled commercial banks (20 conventional, four full-fledged Islamic) over a sample period of 2006 to 2017. The factors identified in the dealership model and the subsequent empirical developments in the dealership model categorized as bank-specific, diversification, regulatory, and industry concentration are analyzed by applying the most-common linear dynamic panel-data estimator, the Generalized Method of Moments (GMM) estimator, developed by Arellano and Bond (1991). The findings reveal that, among the bank-specific variables, funding cost, credit risk, managerial efficiency, market share, and operating cost are significant predictors of bank margins. For diversification variables employed in the study, both variables including net non-interest income and asset diversity are as well significant predictors of bank margins. It is also found that the market concentration variable proxied by the Herfindahl-Hirschman Index (HHI) is significantly predicting bank margins. Subsequently, one of the regulatory variables, the opportunity cost of holding reserves, and one bank-specific variable, the degree of risk aversion, are insignificant in the model.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.11
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• pp.1542-1553
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• 2007

Recently, the growing of the aging population resulting from the medical and science development has made the elderly consumer as a new market. The purposes of this study were 1) to examine the purchase behavior of apparel products and hairdressing services of elderly consumers, 2) to investigate the purchase behavior in the apparel store and hairdressing shop on lifestyle types. Data were collected from 853 women in their 50s and 60s living in Busan. Data were analyzed by frequency analysis, descriptive analysis, factor analysis, Cronbach#s alpha, Chi-square analysis, cluster analysis, one-way ANOVA and Duncan test using SPSS WIN 12.0. The results of the study were as follows: First. when elderly consumers purchased apparel product, they were likely to use credit cards, to shop alone or with friends at a department store, and to use the store as information source. In their purchases of hairdressing services, they tended to visit the near shop for a permanent service bimonthly and to depend on their past experiences for hairdressing. Second, elderly consumers were classified by the lifestyle into the Active self-fidelitist, Economy family-oriented, and Passive-stagnant. The purchase behaviors in the apparel store and hairdressing shop were different among lifestyle types. Implications were suggested for the consumer behavior researchers and retailers of the elderly fashion market.

• Korean Journal of Agricultural Science
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• v.29 no.1
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• pp.55-65
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• 2002

The most representative fruit in Yanbian area is Applepear(Ping Guo Li). It has been a important resource of farm income. According to the economic growth and income Increase of individual consumers, food consumption pattern will be changed from grain to high value cash crops such as Applepear and vegetables. The globalization and adapt ion of free market oriented economic policy of China government have led to change the collective farming system to individual farm management system. The institutional transformation have brought about high productivity of farm products and incomes of farmers. Therefore the plantation area of Applepear and requirement of investment cost for establishment of Applepear farms have increased rapidly since the 1980's, the time of perestroika and glasnost in Chinese economy. In prosperity of Chinese agriculture, individual farmer's decision making as free selection of farmland use, selection of high pay-off crops, free sale of the products in free market and credit support for the project might be the most important factors. In case of Applepear farm development, net present value of the project net benefit was estimated at 55.518won per hectare and financial rate of return was 21%. The benefit/cost ratio of the project was 2.11. Considering 10% of discounting rate or the opportunity cost of capital in China the Applepear farm development project showed us economically feasible in the light of the above efficiency indices. The Chinese government has to support Applepear farm development project financially and institutionally considering the high-payoff benefit of the fruit and farmer's in come increase in the future.

• Journal of Korea Port Economic Association
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• v.34 no.2
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• pp.51-68
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• 2018

This paper compares the differences in management performance in the logistics market and analyzes the differences in business characteristics depending on the industry types. In addition, the effects of industry types and business characteristics on management performance are examined. The analysis method used is ANOVA and K-means clustering. The implication of the study are as follows. First, in the logistics market in Japan, there was a difference in management performance among the types of industry. The warehousing service type had the highest profitability and stability among all the industry types. Second, differences in business characteristics by industry types were tested. It was found that offshore cargo transportation type was more capital intensive than the other types. In addition, warehousing service type had higher business leadership and credit transaction than others. Third, industry types and clusters based on business characteristics had a significant impact on management performance through interaction effects. For the profitability variables in detail, other clusters had a significant effect between transportation types(onshore and offshore cargo) and warehousing service type. On the other hand, in stability variables, one cluster was effective in all types, which is a characteristic that lowers both capital intensity and business leadership.

• Korea journal of population studies
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• v.29 no.3
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• pp.29-50
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• 2006

This study examines the effects of pre-employment efforts of the youth on their transition to the labor market. Labor market performance is accessed by the transitory period, the employment at workplace with more than 300 employees, and the wage level. Based on the effects of employment efforts for the first transitory period, job experience during school and preparatory period for employment would raise the likelihood of employment, but the school credit, grade in English, and the frequency of interviews, on the contrary, failed to reduce the transitory period. Employment effect varied according to educational background. In case of college graduates, vocational education and job experience during school were statistically significant variables leading them to decent jobs. On the other hand, in case of university graduates, job experience and language skills were proven to be important factors. Lastly, for the wage effect, in case of college graduates, vocational training, job experience during school, and English ability were proven to increase the wage level. However, vocational training after graduation and job experience during school decreased the wage level, but grade in English and pre-employment efforts during school increased the possibility of getting a decent, highly paid job for university graduates.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.574-590
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• 2017

The purpose of this paper is the provision of a decision-making tool for developers to identify the project risks for under-consideration overseas independent power projects (IPPs), and to analyze the priority and importance weights of the risks through the employment of a fuzzy multi-criteria decision-making (MCDM) approach. A fuzzy MCDM is the calculation method for which the imprecision of each respondent's unique opinion is considered. Through the extensive literature surveys that were conducted for this paper, eight major project finance (PF) risks have been derived credit risk, completion risk, market risk, fuel risk, operating risk, financial risk, environmental risk, and force majeure. The empirical results show that the market risk is the most important risk factor in terms of overseas IPPs, thereby confirming that the long-term power purchase agreement (PPA) guarantee of the host country is one of the most important corresponding factors for the PF.

• Korea Real Estate Review
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• v.28 no.1
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• pp.65-77
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• 2018

This paper analyzes the redemption risk of renters by estimating the LTV and CoLTV with finance market big data (individual credit information) and housing market big data (actual housing transaction data). The analysis showed that when using LTV, the redemption risk was higher in the case of the monthly renter than of the chonsei renter. On the other hand, when using CoLTV, the chonsei renter had a higher redemption risk than the monthly renter. This implies that there is a need to activate a guarantee system, such as risk management using the CoLTV index and the chonsei deposit return guarantee because it is possible for renters to experience losses on their chonsei deposits due to the higher redemption risk. Another implication is that the risk manager should consider the individual characteristics of renters because of the different effects of the redemption risk stemming from the characteristics of the rental contract and the personal characteristics of the renters. CoLTV was just a concept until this study calculated it using housing big data and actual housing transaction information. It helps identify the redemption risk through the characteristics of renters and their contracts.