• KDI Journal of Economic Policy
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• v.21 no.2
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• pp.105-145
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• 1999

Romer류의 내생적 성장모형과 신고전학파의 성장모형을 통합한 Jones(1997, 1998a)에 의하면 장기균형성장요인의 기여도가 예상보다 작고 여러 단기요인의 성장기여도가 큰 것으로 나타났다. 본고에서는 기술이용능력과 모방노력의 개념을 도입하여 Jones모형을 수정하고 이를 이용하여 한국의 성장요인을 분해한다. 이에 따르면 대GDP 투자비중, 연구인력비율 및 취업자 교육연수의 증가 등 이행경로상의 단기요인이 지난 30년간의 노동생산성 증가의 78%를 설명하고 있으며 균형성장경로 요인의 기여도는 22%에 지나지 않는다. 자본축적의 뒤를 이어 R&D 투자 등 새 단기요인의 역할이 증대되면서 우리나라의 경제성장률이 크게 하락하지 않을 것으로 예상된다.

• Korean Journal of Social Welfare Studies
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• v.48 no.3
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• pp.117-143
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• 2017

This study empirically analyzed the factors that intensify the unequal distribution of relational goods through the decomposition of relational gaps and the actual condition of relational goods. The results of the analysis are as follows. First, the average time for forming a relationship with family members or others is 158 minutes in 24 hours a day. Second, tobit regression analysis showed that relational goods time increased as they were employed, more family members, and ownership of their home. On the other hand, relational goods decreased when they were female, double-working, aged, divorced, and increased working time. The increase in household income decreased family relational goods, but increased the time with others. Based on the results of this analysis, this study proposed reduction of working time as a way to increase the happiness by sharing the relationship with meaningful people.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.825-848
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• 2022

This paper analyzed the factors for increasing energy consumption in the domestic manufacturing sector using the LMDI (Log mean division index) decomposition method for the period from 1999 to 2019. Among the LMDI decomposition analysis methods, both additive and multiplicative factor decomposition methods were used. in this analysis. According to the result of the analysis, the factor that increased energy consumption in the domestic manufacturing industry was the production effect, and the structure effect and intensity effect were found to be the factors that decreased energy consumption. In particular, the reduction of energy consumption due to the structure effect was greater than that of energy consumption effect due to the intensity effect. By period, it can be seen that energy consumption increased rapidly due to the production effect until 2011, but after that, the increase in energy consumption due to the production effect slowed down. On the other hand, after that, the energy reduction effect due to the structure effect and the intensity effect became prominent. In order to save energy in the manufacturing sector in the future, energy diagnosis and management through EMS (Energy management system) and FEMS (Factory energy management system) are more necessary. In addition, restructuring into a low-energy consumption industry seems more necessary.

• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.229-254
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• 2011

In this paper, we decomposed Greenhouse-Gas emissions of Korea's manufacturing industry using LMDI (Log Mean Divisia Index) method. Changes in $CO_2$ emissions from 1991 to 2007 studied in 5 different factors, industrial production (production effect), industry production mix (structure effect), sectoral energy intensity (intensity effect), sectoral energy mix (energy-mix effect), and $CO_2$ emission factors (emission-factor effect). By results, the structure effect and intensity effect has a role of reducing GHG emissions and The role of structure effect was bigger than intensity effect. The energy mix effect increased GHG emissions and emission-factor effect decreased GHG emissions. By time series analysis, IMF regime affected the GHG emission pattern. the structure effect and intensity effect in that regime was getting worse. After 2000, in the high oil price period, the structure effect and intensity effect is getting better.

• The Korean Journal of Financial Studies
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• v.10 no.1
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• pp.231-248
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• 2004

본 연구는 주식간 상관관계 속성을 검증하고자 하는 연구의 일환으로, 한국주식시장에서 1980년 1월부터 2003년 5월까지 기간동안에 수익률 측정기간단위 변화에 따라 주식수익률간 상관관계에 어떤 영향이 관찰되는지를 검증하고자 하였다. 즉, 주식수익률간 상관관계가 시간의 함수(시간종속성)인지를 관찰하고자 하였다. 또한, 수익률의 측정기간단위에 따라 영향을 받는 주식수익률간 상관관계가 주식수익률에 영향을 미치는 요인의 어떤 변화에 기인하는 것인지를 시장모형을 이용하여 개별주식수익률 변동성의 구성요소로 분해 및 분석함으로써 그 원인을 찾고자 하였다. 검증결과에 의하면, 수익률의 측정기간단위가 증가함에 따라 주식수익률간 상관관계는 증가하는 경향을 나타냄에 따라 시간의 함수임을 부정할 수 없었고, 또한 측정기간단위가 단기에서 장기로 변화함에 따라 개별주식수익률의 변동성 구성요소에서 개별기업요인에 기인하는 부분은 감소되고 시장요인에 기인하는 부분은 증가하는 것을 알 수 있었다. 즉, 수익률 측정기간단위는 주식수익률간 상관관계에 유의적인 영향을 미치고, 이러한 영향은 주식수익률에 영향을 미치는 요인 중, 시장요인의 변화를 야기하는 것에서 원인을 찾을 수 있었다.

• Korean Journal of Labor Studies
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• v.23 no.2
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• pp.47-77
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• 2017

This paper analyzes the changes in wage inequality and its contributing factors since the mid-2000s. Although trends vary by data and wage indices, the Gini coefficient of the total wage of all workers shows an increasing trend due to the part-time increase of less than 35 hours per week, while the wage Gini coefficient of hourly wages and the total wage Gini coefficient of full-time workers showed a declining trend. Part-time increases have increased inequality based on total wages, but part-time hourly wage increases can be considered to have reduced hourly wage inequality. Therefore, as a result of decomposing the factor of Gini coefficient reduction only for full-time workers, factors that contributed absolutely to inequality reduction were variables such as job tenure, career, and occupation, and employment type variable has little effects, and the establishment size variable deepens inequality. The variables such as industry, age, and education did not contribute significantly to the inequality change. This is attributed to the decline in wage premiums for job tenure and management and professional jobs and the increase in wage premiums for large-scale businesses.

• Journal of Labour Economics
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• v.43 no.2
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• pp.75-107
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• 2020

Using the data from 1980 to 2017, I show the long-term trends in the gender wage gap in Korea and analyze factors using decomposition method. It tended to decline until the 1990s, but gradually slowed after the 2000s. Gelbach(2016)'s decomposition method is used as an alternative rather than Blinder-Oaxaca decomposition. The results show that the proportion of explanation of traditional factors, such as age, education, firm size, industry and occupation, are continuously decreasing in explaining the gender wage gap. Expecially, the proportion of explanation of age and that of education have decreased, and that of industry tended to decrease in the 1990s but to increase after the 2000s.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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• 1993.12a
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• pp.12-13
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• 1993

십자화과 채소에는 여러종류의 glucosinolate가 존재하며 이들 중 특히 indolw형 glucosinolate는 여러가지 요인에 의해 분해되어 항암효과를 나타내는 물질들을 생성한다고 보고 되고 있다. 이에 다라 우리나라 농가에서 대량 생산되고 있는 십자화과 채소인 배추 및 무에서 항암전구물질인 indole glucosinolate를 포함한 glucosinolate를 분석 및 동정하고 가공처리조건에 따라 항암물질인 indoleacetonitrile과 indolemethanol의 함량을 측정하였다. 1. GC 및 GC-MS를 이용하여 배추, 무의 품종별 ; 이들 씨에서 4-8종류의 glucosinolate를 동정하였다. 2. Thymol에 의한 총 glucosinolate의 함량은 배추 및 무에서는 복돌이 배추와 왕관무가 3.21, 2.0$\nu$mole/g으로 가장 많았고 배추씨, 무씨에서는 각각 6.38, 4.07$\nu$mole/g이었다. 3. 배추 및 무의 저장중 총 glucosinolate함량은 저장 기간이 지남에 따라 점차 감소하는 경향이였다. 4. 열처리 시간에 따른 배추와 무의 indoleacetonitrile함량은 열처리 시간이 지남에 따라 증가하며 40분 열처리시 최대치를 나타내었다. 5. indolemethanol이 생성될때 방출되는 배추, 무, 배추씨 및 무씨의 Thiocyanate ion의 함량은 열처리 시간이 지남에 따라 증가하며 40분 열처리시 최대치를 나타내었으며 자가분해에 따른 함량도 분해시간이 경과함에 따라 증가하며 30분경과시는 최대치를 나타내었고 이는 40분 열처리시보다 많은 함량이였다.함량이였다.

• Environmental and Resource Economics Review
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• v.16 no.3
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• pp.723-738
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• 2007

This paper draws some implications from Logarithmic Mean Weight Divisia Method (LMWDM) on the sources of $CO_2$ emission changes in the manufacturing sectors of Korea, UK, and USA. The sources of change in industrial $CO_2$ emission of a country, as manifested by production scale factor, structural factor, and technical factor, summarizes the forces behind the change in $CO_2$ emissions in each country's manufacturing sector. There are three observations. First one is that Korea's emission is increasing while USA and UK are experiencing reduction or stabilization of $CO_2$ emission in the manufacturing sector. Second implication is that the technical factor affecting $CO_2$ emission in Korea does not help much, or even hinder, the reduction of $CO_2$ emissions, comparing to USA and UK. Third one, which is the combined result of the first and the second one, is that Korea's increasing trend in aggregate $CO_2$ emission throughout the periods in consideration is mainly due to the failure in technical progress, or the deterioration in the structure of within subcategories, or both. The policy implications is clear. The obvious prescription is to launch a nation-wide policy drive which can revert these adverse trends.

• Environmental and Resource Economics Review
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• v.15 no.1
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• pp.27-50
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• 2006

We estimate $CO_2$ emissions in Korea industry, 1990 and 2000 using a commodity- by-industry IO model ($CO_2$ hybrid IO mode]). Estimated $CO_2$ emissions in industries include both $CO_2$ emissions from direct and indirect consumption. The results show that total $CO_2$ emissions has increased by 51.6 million TC (Tonne of Carbon) from 64.4 million TC in 1990 to 115.5 million TC in 2000. By applying the structural decomposition analysis technique, we decompose change of $CO_2$ emissions in Korea industry between the period 1990~2000. In the decomposition, we figure out two contributing factors, changes in $CO_2$ coefficient and changes in final demand. The latter is further decomposed as growth effects and structural effects. We also estimated each factor's contribution to the changes in $CO_2$ emissions in industries between 1990~2000. The analysis can be used as a useful resource for policy makers in improving the effectiveness of $CO_2$ emissions mitigation policy.