• Environmental and Resource Economics Review
• /
• v.29 no.2
• /
• pp.195-217
• /
• 2020

The improvement of energy intensity is drawing attention as a way to achieve sustainable development. Energy price and technology level are the main factors affecting energy intensity, and empirical studies on the relationship between the variables have been conducted mainly in overseas countries. However, analyzing the relation between energy intensity, energy price and technology has not been studied in Korea. Therefore, this study analyzed the dynamic relationship between energy intensity, energy price, and total factor productivity (TFP) in Korea. As a result of the analysis, the three variables form a long-term equilibrium relationship. The increase in TFP reduces energy intensity in both short and long term, and the long-term effect is greater than short-term effect. On the other hand, energy price do not have a significant impact on energy intensity. Granger causality test results show that energy intensity and TFP granger cause each other, but energy price is weak-exogenous.

• 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.

• Journal of Energy Engineering
• /
• v.17 no.3
• /
• pp.145-152
• /
• 2008

Approaching to the era of high energy price and energy sources scarcity, the demand for governmental intervention to mitigate the short-term shocks is highly increasing. When any energy policy is implemented, double-side effects would be derived. To begin with positive aspect, by decreasing energy import, unnecessary currency outflow can be prevented and the resultant saved money will be appropriately allocated. Furthermore, industrial competitiveness will be assured by reducing use of expensive energy. On the contrary, inappropriate energy saving policy may lead to unexpected negative effects that would hinder improvement in productivity due to indiscreet replacing energy by equipments. In order to enhance effectiveness of energy policy, efforts should be made in advance to understand the energy use pattern of each industry sector which composes the economy. Therefore, in this study, an energy input-output method, one of the macroscopic approaches, is applied to analyze energy use patterns of each industry sector in Korea. Using this method, a quantitative assessment is performed to obtain the energy use intensity and the amount of energy uses with respect to energy types.

• Environmental and Resource Economics Review
• /
• v.23 no.2
• /
• pp.305-330
• /
• 2014

There has been a lot of studies to identify the driving forces of energy consumption. Many of them decomposed the final energy consumption into the intensity effect, structural effect, and production effect. Those approach, however, could not consider the transformation loss during the electric power generation. Therefore, in this study, we conducted a decomposition analysis on the primary energy use basis to reflect that transformation loss. Log mean Divisia index and refined Laspeyres methods were used for the index decomposition. As results, we could find out that the difference between two approaches were definite. The intensity effect in 2011 is -0.607 times against 1981 in the final energy case, but -0.236 times in the primary energy case. The structure effect in 2011 is 0.227 times against 1981 in the final energy case, but 0.434 times in the primary energy case. Therefore, an analysis on the primary energy basis is essential when conducting a decomposition analysis.

• 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 Korean Society of Forest Science
• /
• v.44 no.1
• /
• pp.43-47
• /
• 1979

Increased demand for wood products and recent energy crisis have stimulated much attention over the world to the concept of intensive forestry management systems. This shows great potential of increasing biomass yields. Biomass probably will not be a major source to solve the whole problems of fiber and energy shortage but as an alternative source it will, in part, help meet the remarkable demand. In Korea, the systems are not only feasible because of available land areas, many appropriate tree and existing forestry techniques already available, but also urgently needed.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
• /
• 2004.05a
• /
• pp.329-333
• /
• 2004

• Proceedings of the Korea Society for Simulation Conference
• /
• 2005.11a
• /
• pp.77-83
• /
• 2005

기후변화협약에 의해 탄소세가 부과될 경우 한국의 에너지 집약 산업에 어떠한 영향을 미치며 그에 대한 대응방안이 어떻게 마련되어야 하는지에 대한 관심이 증대되고 있다. 이에 본 연구에서는 탄소세가 부과됨으로 인하여 에너지 다소비 업종인 시멘트산업의 각 에너지원별 사용량에 미치는 파급효과를 시스템 다이내믹스 방법론에 의한 시뮬레이션 모델을 이용하여 분석하였다. 시뮬레이션 모델은 환경모듈, 경제모듈, 에너지모듈로 구성하였고 모델의 예측력 검증을 위해 의태분석을 수행하였다. BAU 시나리오와 탄소세 부과 시나리오를 설정하여 각 시나리오의 총수요의 예측치, 이산화탄소 배출량의 추이, 에너지원의 사용변화를 분석하였다. 본 연구는 향후 기후변화협약의 부담이 큰 에너지 집약산업에 있어서 에너지원의 사용 및 수요를 예측하고 이를 평가하기 위한 지침을 제시할 수 있을 것으로 기대된다.

• Bulletin of Korea Environmental Preservation Association
• /
• s.418
• /
• pp.16-18
• /
• 2015

온실가스 감축목표의 달성을 위한 정책은 에너지 가격구조의 개선을 통해 국가 경제의 탄소 집약도를 낮추고 에너지 효율을 제고하는 방향으로 추진되어야 할 것이다. 우리나라는 대규모 배출권에 대하여 배출권 거래제를 시행하고 있으므로, 이를 보완하는 차원에서 배출권 거래제의 적용을 받지 않는 배출원에 대하여 탄소세를 부과하는 정책을 추진할 필요가 있다. 온실가스 감축을 위한 규제(탄소세, 배출권 거래제 등)는 기존세제 구조의 왜곡을 해소하거나 교역조건 개선 효과가 클 경우 경제성장에도 긍정적 영향을 미칠 수 있다.

• International Commerce and Information Review
• /
• v.16 no.5
• /
• pp.179-201
• /
• 2014

The complementary effect between FDI and its absorptive capacity has drawn more attention than before. This paper intended to explore the relationship between energy intensity and such complementary effect. The absorptive capacity of FDI shows various aspects among which we focus on the human capital, the financial system and the infrastructure in this paper. Using the panel data from 1990 to 2011, the study is processed between the 20 OECD and 20 Non-OECD countries. The empirical results shown that for OECD country, a complementary effect exists between FDI and its absorbability and it has the controlling effect on energy reduction. But the effect is only significant in the human capital and the financial system. The infrastructure variable is less important in OECD country due to their high development level. However, for non-OECD country, the complementary effect between infrastructure and FDI reduces energy consumption significantly, it can get to the point that the process for infrastructure to attract FDI and also benefits from it only blow its way to the Non-OECD, developing countries, without andy special effects for the OECD countries which has already highly build up their infrastructure. Also, the financial system in Non-OECD countries is at the primary stage yet, which is not easy to contribute efficiency. To make a conclusion, the complementary effect between infrastructure and FDI in OECD country and which between finical system and FDI in non-OECD country cannot enhance energy efficiency as expected.