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

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

• Korean Journal of Labor Studies
• /
• v.14 no.2
• /
• pp.59-93
• /
• 2008

본 논문은 한국고용정보원의 '대졸자 직업이동경로조사(2007)' 자료를 활용하여 청년 고학력자의 성별 노동시장 차별이 존재하는지를 확인하고자 하였다. 청년 고학력층은 경력단절, 육아와 가사부담에 따른 노동시장 차별을 비교적 덜 받을 것으로 예상된다는 점에서 이들 집단에서의 차별 존재는 최근 노동시장 문제를 파악하는 데 있어 매우 중요한 의미가 있다. 우리는 성별 노동시장 차별을 분석하기 위해서 차별에 관한 실증분석 방법으로 일반적으로 많이 사용되는 오하카 요인분해 모형을 활용하였다. 특히 고용차별을 확인하기 위해서 이항선택 모형에 적용한 요인분해 분석방법을 활용하였다. 전반적인 결론은 청년층 고학력자 여성들도 청년층 고학력자 남성에 비해 고용 및 임금차별을 경험한다는 것이다. 특히 본 연구에서는 성별 임금차별 뿐만 아니라 비정규고용 및 비공식고용과 같은 고용형태상의 차별도 확인할 수 있었다. 연령, 4년제졸 여부, 결혼여부가 성별 고용 및 임금격차를 초래하는 주요 요인으로 분석되었다.

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

• Journal of the Economic Geographical Society of Korea
• /
• v.22 no.2
• /
• pp.196-213
• /
• 2019

This paper attempts to analyze the contribution of different socioeconomic factors such as income, age, gender, household composition, education and employment status etc. to the difference between the Capital and Non-Capital Regions in the net wealth inequality of household in Korea. To this end, a two-stage Oaxaca-Blinder type decomposition is employed regarding the regional gap in the inequality of net wealth based upon the Recentered Influence Function of the Gini index for 'the 2018 Household Finance and Living Conditions Survey.' Despite the shortcomings of the survey data on wealth, the findings reveal that regional differences in income, marriage status (divorce), job type (agriculture, forestry and fishery related, and technical and assembly), family type (multi-cultural) variables deepen the regional gap in the net-wealth inequality, but employment status (full-time), job type (administrative and specialized, and service sales), household size variables mitigate the gap, and that regional differences in life cycles play an offsetting role.

• Proceedings of the Korean Society of Fisheries Technology Conference
• /
• 1998.06a
• /
• pp.177.2-178
• /
• 1998

• Proceedings of the Korean Society of Fisheries Technology Conference
• /
• 1998.06a
• /
• pp.179.2-180
• /
• 1998

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

• The Microorganisms and Industry
• /
• v.18 no.3
• /
• pp.10-22
• /
• 1992

퇴비화는 유기물이 생물의 작용에 의해 분해되면서 보다 안정화된 형태로 변형되어 가는 과정으로 여러가지 환경요인에 의해 영향을 받는다. 본 논문에서는 유기물의 퇴비화 과정에 영향을 주는 요인을 토양 생화학적 및 미생물학적 측면으로 분석하여 퇴비화 공정설계에 있어 분해원리의 이해에 도움을 주고자 하며, 퇴비화 후 최종적인 사용, 즉 농업적 이용 가능성에 대해서도 간략하게 기술하고자 한다.

• Journal of Labour Economics
• /
• v.42 no.1
• /
• pp.43-72
• /
• 2019

As a result of decomposing the wage gap between large enterprises and SMEs using Oaxaca's wage gap decomposition method, the total wage gap of supply side factors was 44.2%, and the service years and educational background were the biggest influences. and As a result of decomposing the wage gap by firm size based on demand side factors such as business performance, total wage gap was 44.9%, and the influence on wage gap was in the order of labor productivity, union and outsourcing ratio. The results of this analysis suggest that it is necessary to consider the demand side factors such as business performance and capital structure of supply side companies such as differences in human capital in order to solve wage gap by firm size.