• 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.

• Environmental and Resource Economics Review
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• v.4 no.2
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• pp.307-344
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• 1995

이 논문은 산업공해의 발생 요인을 규명하는 부분과 여기서 규명된 요인에 따라 배출량을 규제하고 그 규제효과를 추정하는 두 가지 부분으로 이루어져 있다. 이 논문에서는 환경(環境) 산업연관(産業聯關) 분석(分析) 모형(模型)을 이용하여 우리 나라의 산업(産業) 공해(公害) 배출(排出) 요인(要因)을 규명하고자 하였다. 이 분석의 결과 얻은 잠정적 결론은 첫째, 우리 나라는 지난 10년간 에너지 절약적(節約的)인 기술개발(技術開發)등 에너지의 효율성과 생산기술(生産技術)(투입구조(投入構造))의 개선 등 생산기술측면에서는 대기오염 배출량을 감소시키는 구조적 변화가 있었던 반면에, 수출입(輸出入) 구조(構造)등 수요 측면에서는 그 배출량을 증가시키는 구조적 변화가 발생하였다. 그러나 전체적으로 구조적 요인은 공해 배출량을 증가시키지 않은 반면 경제 성장에 따른 생산 규모의 확대로 총 배출량은 크게 증가하였다. 산업공해의 배출량을 감축시키기 위한 한 가지 정책수단(政策手段)으로 우리는 일정 율의 탄산까스 배출량(排出量)을 규제하기 위해 필요한 공해 제거 비용을 계산하고 배출 단위 제거비용을 Pigou적 공해조세(公害租稅)로 제시함으로서 일정 배출량 감축 효과를 가지는 공해세를 계산하고자 시도하였다. 이 같은 배출 규제(規制)에 의한 물가상승(物價上昇)의 파급정도(波及程度)는 각 산업의 공해제거(公害除去)를 위한 중간투입물(中間投入物) 수요(需要)와 규제대상(規制對象) 산업(産業)과의 산업연관(産業聯關) 정도(程度)에 따라 상이하다. 배출량(排出量)이 큰 6대(大) 공해산업(公害産業)에 대한 규제(規制)는 자기(自己) 가격상승율(價格上昇率)이외에 산업연관효과(産業聯關效果)의 차이 때문에 산업별로 다른 물가 파급효과를 발생시킨다는 것을 보였다. 특히 석유와 석탄 등의 에너지에 대한 탄산까스 배출 규제는 규제 산업의 자기 가격을 매우 높은 율로 상승시키며, 각각 화학, 고무, 섬유, 의복 제품과 1 차금속, 전력 가스, 조립금속, 시멘트 등에 높은 물가 파급효과를 나타내므로서 이산화탄소의 배출 규제 내지 탄소세의 부과가 몇 몇 산업의 가격 경쟁력에 집중적인 영향을 줄 것임을 시사하고 있다.

• 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.

• Environmental and Resource Economics Review
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• v.7 no.1
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• pp.85-117
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• 1997

이 논문에서는 이산화탄소 배출 감축을 위한 국제적 협력이 구체화 될 경우 동아시아에서 잠재적 상호 협력 대상국이 될 수 있는 한국, 중국, 일본을 대상으로 그리고 논의의 주요한 시기적 기점이 되는 1990년에 대해 이산화탄소 배출량을 추정하고 삼국간의 배출량의 차이를 산업별로 비교하고 그 차이를 발생시키는 요인에 대해 분석을 시도하고 있다. 여기서 중국은 지구온난화 가스 배출에 있어서도 세계에서 주요한 비중을 차지하고 있다는 점에서 그리고 한국은 새로운 OECD 회원국이 된 대표적인 신흥공업국으로서 지구 온난화 가스 감축을 위한 국제적 압력의 대상이 되고 있다는 점에서, 그리고 일본은 동아시아에서 환경문제에서도 유일한 선진국으로서 국제적 협력관계에서 지원국의 입장에 서게 될 것이라는 점에서 각각 중요한 의의가 있다. 한편 1990년은 1992년의 지구온난화 협약에서 논의의 기준연도이기도 하지만 한국과 일본에서 산업연관분석 통계가 이용 가능한 최근의 연도이기도 하다. 그러나 중국의 경우 이용 가능한 1987년도 산업연관분석 통계자료가 사용되었으며, 삼국에 대해 각각 에너지 및 이산화탄소 배출 원단위 통계 등을 이용하여 이산화탄소 배출량의 추정 및 배출 요인의 비교 분석이 이루어 졌다.

• Journal of Korean Society of Transportation
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• v.24 no.3 s.89
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• pp.189-195
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• 2006

For the past decades, vehicle emissions has been a major source of air pollution in urban areas Vehicle inspection and maintenance (I/M) test programs were developed for major metropolitan areas to reduce urban air pollution. However. there are a few studies of exploring major factors to influence I/M test failure. This study develops a logit model to identify key factors affecting overall test failure, using the vehicle I/M test data from California in October 2002. The model results indicate that vehicle age, odometer reading, engine size, vehicle make, presences of emissions control equipment, and test types have significant effects on the probability of I/M test failure.

• Environmental and Resource Economics Review
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• v.19 no.2
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• pp.243-282
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• 2010

In this paper, we analyze the components and trends of carbon emissions using the Logarithmic Mean Divisia Index decomposition method in Korean electricity industry during the period 1991~2007. In the demand side, carbon emissions are affected by electricity intensity and structural shift and especially electricity intensity is identified as the major factor which has lead carbon emissions decreasing. In the supply side, the result in variations of carbon emission for electric power generation depends on the influences of fossil fuel mix, fuel intensity, generation mix and so on. As a result fuel intensity is the most negative effect on both carbon emission intensity and the amount of carbon emission while the change of generation mix has a positive effect on increasing carbon emissions. And to conclude it needs to make the strategic policies to improve electricity intensity in the demand and to rise emission efficiency as well as to substitute thermal power generation in supply side.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.433-434
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• 2013

본 연구는 건설공사의 온실가스 배출영향요인을 건설공사의 생애주기(Life Cycle)별로 제시하였다. 이를 위해, 건설공사의 생애주기를 4단계로 구분하였으며, 각 단계의 온실가스 배출에 대한 자료조사와 선행연구 분석을 통해 영향요인을 도출하였다. 따라서 본 연구는 건설공사의 온실가스 배출량 산정을 위한 기초적인 자료로 활용이 기대된다.

• Environmental and Resource Economics Review
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• v.18 no.4
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• pp.653-693
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• 2009

Using the Korean environmental input output analysis, this paper provides the emission intensities of the chemicals, especially, the toxic and carcinogenic substances, by linking the structure of demand, and the policy mix to abate these substances emissions. Acording to the results, Industries with the highest total emission intensities(TEI) of toxic substances are ranked : Printing and reproduction of recorded media(21), Other transportation equipment(26), Pulp and paper(11), Leather and fur products(9), Fiber yarn and fabrics(7). And the highest TEI of carcinogenic substances are Wood and wooden products(10), Motor vehicles and parts(25), Plastic and rubber products(15), Audio, video and communications equipment(23), etc.. The economic factors of changing these emissions are emission intensities and final demands. The effective combinations of policy instruments to abate these emissions are varied by the industries and substances. For example, Government need to execute the effective TEI management in the Fiber yarn and fabrics(7) sector, and, in furniture(27) sector, the reduction of final demand is more effective.

• Environmental and Resource Economics Review
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• v.29 no.1
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• pp.23-45
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• 2020

The rapid economic growth has brought tremendous pressure on the environment and caused severe air pollution in China. This study empirically examines causes of air pollution in China. Panel-corrected standard errors procedure (PCSE) was used to analyze major determinants of increasing or reducing emissions of sulfur dioxide (SO₂) and nitrogen oxides (NO_X) in 30 Chinese provinces. The estimation results show that SO₂ emission is mitigated as per capita regional GDP increases, but the relation between emission of NO_X and per capita regional GDP is found to have an inverse N-shaped curve, which implies that emission of NO_X is ultimately expected to decline with economic growth. As for increasing factors of air pollutants, electricity consumption is a significant common source of SO₂ and NO_X emissions. Moreover, the results show that increment of coal consumption significantly affects emission of SO₂ while increase of natural gas consumption reduce emission of SO₂. On the other side, investment in energy industry, and investment on treatment of waste gases are determinants of mitigating emissions of SO₂, but have no impact on NO_X. Consumption of diesel, truck ratio and number of vehicles increase emission of NO_X. Meanwhile, higher precipitation rate is a common determinant of mitigating emissions of SO₂ and NO_X. Policy implications are suggested in the conclusion.