재고최소화와 에너지효율성 간의 관계에 대한 실증분석: 국내 철강기업을 중심으로

김길환 공주대학교 KNU 기업경영연구소 2022 기업경영리뷰 Vol.13 No.3

Energy efficiency is critical issue for steel companies because they consume a lot of energy in the produc- tion process. Also, inventory management is one of the paramount management activities for steel companies because they mainly produce intermediate goods. This study aims to investigate the relationship between inven- tory management, which is the important management activity to steel companies, and energy efficiency, which is critical due to the nature of their production process. To achieve this goal, we define energy efficiency with distance function and estimate it using stochastic frontier analysis. Morovere, given that lean inventory manage- ment has been widely applied among most companies, we adopt the concept of inventory leanness to evaluate the level of inventory management within the steel company and use emprical leanness indicator to estimate inventory leanness. Also, we consider energy efficiency as a dependent variable and empirical leanness indicator as a independent variable to exmaine the relationship between energy efficiency and inventory leanness, and we analyze the impacts of company size and industry dynamism on energy efficiency. The main results of this study are as follows. First, the average energy efficiency is around 0.901, which is lower than the optima energy efficiency. Second, both company size and industry dynamism have the negative impacts on energy efficiency. Based on these results, we provide the managerial implication as follows. First, in order to improve energy ef- ficiency, it is necessary for the managers of steel company to actively introduce the lean approach for the inven- tory management. Second, it is required for the mangers of large steel company to examine whether energy is efficiently used in production process. Meanwhile, this study contributes to the related literature by analyzing the relationship between inventory leanness and energy efficiency―not addressed in previous studies―and then revealing the effectiveness of lean inventory management in terms of energy efficiency 에너지를 많이 소비하는 생산시스템의 특성상 철강기업의 에너지효율은 중요한 이슈이다. 또한 철강기업은 중 간재를 주로 생산하므로 재고관리가 핵심 관리 활동 중의 하나이다. 본 연구는 철강기업의 ‘핵심 관리 활동인 재 고관리’와 ‘생산시스템의 특성상 매우 중요한 에너지효율’의 관계를 검토해 보고자 하였다. 이를 위해 거리함수 (Distance Function)에 근거하여 에너지효율성(Energy Efficiency)을 정의한 후 확률변경분석(Stochastic Frontier Analysis)을 통해 에너지효율성을 추정하였다. 그리고 린방식(Lean Practice)의 재고관리 접근이 기업들 사이에 광 범위하게 적용되어 왔다는 점을 감안하여 철강기업의 재고관리 수준을 평가하기 위한 개념으로 재고최소화(In- ventory Leanness)를 채택하였고, 실증최소화지표(Empirical Leanness Indicator)로써 이를 추정하였다. 또한 에너 지효율성과 재고최소화의 관계를 검토하기 위해 에너지효율성을 종속변수로, 실증최소화지표를 독립변수로 하 여 분석을 진행하였다. 추가로 에너지효율성에 미치는 기업 규모와 산업역동성(Industry Dynamism)의 효과도 검 토하였다. 주요 분석 결과는 다음과 같다. 첫째, 분석대상 철강기업의 평균 에너지효율성은 0.901로 최적의 에너 지효율성 수준보다 낮은 수준에서 실제 에너지효율성이 결정되고 있다. 둘째, 재고최소화는 에너지효율성에 양의 영향을 주고 있다. 셋째, 기업 규모 및 산업역동성은 에너지효율성에 음의 영향을 주고 있다. 이와 같은 주요 결과 를 토대로 다음과 같은 시사점을 제시하였다. 첫째, 에너지효율성 개선을 위해 철강기업의 관련 실무자는 린방식 의 재고관리를 적극 도입할 필요가 있다. 둘째, 규모가 큰 철강기업의 관련 실무자는 에너지 사용이 효율적으로 이루어지고 있는지를 검토해 볼 필요가 있다. 한편, 본 연구는 기존 연구에서 고려되지 않았던 재고최소화와 에너 지효율성 간의 관계를 분석하여, 에너지효율 개선 측면에서 작동하는 린방식 재고관리의 효과성을 밝혀냈다는 점 에서 관련 연구에 기여하고 있다.

미국의 에너지공급자효율향상의무화 제도에 관한 연구

김종천(Kim Jong Cheon) 중앙대학교 법학연구원 2014 法學論文集 Vol.38 No.1

The US Energy Efficiency Resource Standard(EERS) is also known as Energy Efficiency Portfolio Standard(EEPS) or Energy Efficiency Commitment(EEC). The mechanism aims to produce, transport and use electricity and natural gases more effectively. EERS requires energy suppliers or distributors to reduce energy through customer energy efficiency programs based on a certain percentage and an increased percentage during a certain period of time or by annual and eventually implies the duty of reducing energy usage on consumers. This policy is similar in concept to Renewable Portfolio Standards (RPS). As energy efficiency facility can also reduce energy demand and greenhouse gases, EERS can be applied to a strategy for mitigating carbon pollution and climate change. In particular, many of the American programs carry out end-use energy efficiency programs to reduce a percentage of electricity and natural gases. As load growth across the country reaches approximately two percent each year, the reduced amount accounts for about fifty percent of load growth. Majority of the US states adopted Texas Public Utility Regulatory Act for energy efficiency. The Act provides provisions on energy efficiency targets, compliance of utility administrators, a way to recover energy efficiency costs, review and evaluation on program choices by the committee, energy efficiency for the state-run energy utilities, energy efficiency for electricity utilities, a project to prove energy efficiency for a solar power system, and writing a plan and a report on energy efficiency. Meanwhile, the Act provides provisions that a energy efficiency system under § 8. 2840 of CALIFORNIA PUBLIC UTILITIES CODE should quote Waste Heat and Carbon Emissions Reduction Act. The Act provides provisions on the definition in regard of the energy efficiency system, confirmation of energy efficiency at combined heat and power plants and of waste heat, electricity fee for combined heat and power plants established by the committee, air quality fee and purchase condition, the establishment of a program on a combined heat and power plant system to reduce greenhouse gases by using waste heat that comes from electricity utilities providing to end-users in relevant areas, cost effectiveness of combined heat and power plants, Pay-As-You-Save Pilot Program, a combined heat and power plant guideline, a duty to report on greenhouse gases reduction from combined heat and power plants. Thus, the Energy Efficiency Resource Standard can play a critical role in reducing greenhouse gases and at the same time driving energy efficiency business from which we can learn. And EERS can contribute to reducing energy significantly and drive an investment in enhancing energy efficiency, which suggests a lot to consider for legislative research on Korea's energy demand.

MEASURING THE EFFICIENCY OF ENERGY-INTENSIVE INDUSTRIES ACROSS 23 EU COUNTRIES

Georgia Makridou,Kostas Andriosopoulos,Michael Doumpos,Constantin Zopounidis 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.6

Energy demand is growing significantly in most countries and is expected to continue to expand-perhaps by 45% between now and 2030, and by more than 300% by the end of the century (Brown & Sovacool, 2012). Industry is generally the largest consumer of energy, currently consuming about 37% of the world’s total delivered energy, and the highest in energy-related CO2 emissions among the major sectors of energy use in an economy. Sadly enough, large amounts of energy consumed by industry are used inefficiently because of lack of awareness about proper energy management and weak energy policies and measures, among others. As a result, the industrial development across the world results in more energy use and leads to more concentration of greenhouse gases emissions. Hence, finding ways to increase energy efficiency in the industrial sector is highly important because the global climate and the region’s energy security depend on it. In this paper the efficiency trends of seven energy-intensive industries namely manufacturing, chemicals, electricity-gas and water supply, construction, mining and quarrying, machinery, and transport in 23 EU countries over the period 2000-2009 is analysed. The performance of the sectors is evaluated in terms of an input/output production framework described by capital stock, employment, total energy consumption, value added, and GHG emissions. On the methodological side, we use the Data Envelopment Analysis (DEA) to measure the relative efficiency of each industrial sector. DEA is a popular nonparametric efficiency analysis technique with many applications energy efficiency assessment (Sarica & Ilhan, 2007; Mukherjee, 2008; Azadeh, Amalnic, Ghaderi, & Asadzadeh, 2007). Given the panel nature of the considered data set, the Malmquist Productivity Index (MPI) is used to assess the trends in energy efficiency over time and to distinguish between the effect of efficiency change and technical change. At the second stage of our analysis, we focus on the analysis of the relationship between the energy efficiency estimates and a set of explanatory factors related to the structural characteristics of considered sectors and the countries. For most sectors MPI has been higher than 1 in most years, thus indicating an improving trend. This trend appears to be stronger in chemicals, electricity, machinery, and mining. In fact, electricity and mining have improved steadily since 2003-04. On the other hand, construction and transport exhibit fluctuations, but in most cases their MPI has been lower than 1. The observed efficiency changes reflected in the MPI could be the result of changes in technical efficiency (efficiency change) and/or in the underlying production technology (technology change). It is evident that most sectors have been driven by technology change. Overall it is apparent that improvements due to efficiency change have been modest at best (e.g., no more than 5-10%), whereas improvements due to changes in the best practices (technology factor) have been significant in most of the sectors. This study’s results not only provide a general evaluation of the investigated industries, but also facilitate various interesting efficiency comparisons, with respect to factors that have the highest explanatory power. Taking into account the results of this study, policy makers could identify the main steps that should be followed to improve each industry’s energy efficiency. Furthermore, the significance of each step can be measured, leading to more informed decisions in terms of priorities given.

MEASURING THE EFFICIENCY OF ENERGY-INTENSIVE INDUSTRIES ACROSS 23 EU COUNTRIES

Georgia Makridou,Kostas Andriosopoulos,Michael Doumpos,Constantin Zopounidis 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.7

Energy demand is growing significantly in most countries and is expected to continue to expand—perhaps by 45% between now and 2030, and by more than 300% by the end of the century (Brown & Sovacool, 2012). Industry is generally the largest consumer of energy, currently consuming about 37% of the world’s total delivered energy, and the highest in energy-related CO2 emissions among the major sectors of energy use in an economy. Sadly enough, large amounts of energy consumed by industry are used inefficiently because of lack of awareness about proper energy management and weak energy policies and measures, among others. As a result, the industrial development across the world results in more energy use and leads to more concentration of greenhouse gases emissions. Hence, finding ways to increase energy efficiency in the industrial sector is highly important because the global climate and the region’s energy security depend on it. In this paper the efficiency trends of seven energy-intensive industries namely manufacturing, chemicals, electricity-gas and water supply, construction, mining and quarrying, machinery, and transport in 23 EU countries over the period 2000–2009 is analysed. The performance of the sectors is evaluated in terms of an input/output production framework described by capital stock, employment, total energy consumption, value added, and GHG emissions. On the methodological side, we use the Data Envelopment Analysis (DEA) to measure the relative efficiency of each industrial sector. DEA is a popular nonparametric efficiency analysis technique with many applications energy efficiency assessment (Sarica & Ilhan, 2007; Mukherjee, 2008; Azadeh, Amalnic, Ghaderi, & Asadzadeh, 2007). Given the panel nature of the considered data set, the Malmquist Productivity Index (MPI) is used to assess the trends in energy efficiency over time and to distinguish between the effect of efficiency change and technical change. At the second stage of our analysis, we focus on the analysis of the relationship between the energy efficiency estimates and a set of explanatory factors related to the structural characteristics of considered sectors and the countries. For most sectors MPI has been higher than 1 in most years, thus indicating an improving trend. This trend appears to be stronger in chemicals, electricity, machinery, and mining. In fact, electricity and mining have improved steadily since 2003-04. On the other hand, construction and transport exhibit fluctuations, but in most cases their MPI has been lower than 1. The observed efficiency changes reflected in the MPI could be the result of changes in technical efficiency (efficiency change) and/or in the underlying production technology (technology change). It is evident that most sectors have been driven by technology change. Overall it is apparent that improvements due to efficiency change have been modest at best (e.g., no more than 5-10%), whereas improvements due to changes in the best practices (technology factor) have been significant in most of the sectors. This study’s results not only provide a general evaluation of the investigated industries, but also facilitate various interesting efficiency comparisons, with respect to factors that have the highest explanatory power. Taking into account the results of this study, policy makers could identify the main steps that should be followed to improve each industry’s energy efficiency. Furthermore, the significance of each step can be measured, leading to more informed decisions in terms of priorities given.

베이지안확률변경분석을 통한 에너지효율성 추정: 재고자원효율성이 미치는 효과를 중심으로

김길환 공주대학교 KNU 기업경영연구소 2024 기업경영리뷰 Vol.15 No.2

제조기업에게 재고관리는 핵심관리 영역이다. 효과적인 재고관리는 비용절감, 자본운용의 효율성, 고객만족도 제고 등으로 이어지기 때문이다. 한편, 최근 들어 제조기업의 효과적인 에너지관리의 중요성이 강조되고 있다.에너지효율성 제고는 비용절감으로 이어질 뿐만 아니라 전 지구적인 기후변화문제에 대한 대응과도 연결되기 때문이다. 이러한 맥락에서 재고관리성과의 효과를 에너지효율성 측면에서 평가해 볼 필요가 있다. 이러한 필요성에 근거하여 본 연구는 기업의 재고관리성과와 에너지효율성 간의 관계를 검토해보고자 했다. 이를 위해 본 연구는 Modi & Mishra(2011)가 제시한 재고자원효율성을 재고관리성과 지표로써 차용하였고, 에너지투입거리함수에 기반하여 에너지효율성을 정의한 뒤 베이지안확률변경분석을 통해 에너지효율성을 추정하였다. 그리고 에너지효율성에 미치는 재고자원효율성의 효과를 분석하였다. 분석대상은 국내 22개의 주요 철강기업이며 분석기간은 2011~2019년이다. 주요분석 결과는 다음과 같다. 첫째, 분석대상 기업의 전체 에너지효율성의 평균값은 0.8630이었다. 둘째, 에너지사용량에 미치는 자본의 음의 효과를 확인하였다. 셋째, 에너지효율성에 미치는 재고자원효율성의 효과는양의 결과를 보였다. 이러한 주요 결과는 에너지효율성 제고를 위해 재고자원효율성을 높여야 한다는 점과 최첨단의 장비 및 기계의 도입이 에너지효율성 제고에 도움이 될 것이라는 적 실무적 사점을 제안한다. 또한 베이지안확률변경분석을 통해 에너지효율성을 추정했다는 점 그리고 재고관리성과 지표로써 재고자원효율성을 차용하여 처음으로 에너지효율성과의 관계를 살펴봤다는 점이 본 연구의 주요한 학문적 시사점이라고 할 수 있다. Inventory management is a pivotal management area for manufacturing companies, as effective inventory management catalyzes cost reduction, enhances capital utilization, and augments customer satisfaction. Concurrently, the significance of efficient energy management in manufacturing sectors has been increasingly highlighted. Enhancing energy efficiency not only contributes to cost reductions but also addresses the global challenge of climate change. In this regards, it is imperative to assess the impact of inventory management performance through the lens of energy efficiency. This study aims to investigate the relationship between the company's inventory management performance and its energy efficiency. To surmount the constraints of previously utilized inventory management performance indicators, this research adopted the inventory resource efficiency metric as proposed by Modi & Mishra (2011). Moreover, energy efficiency was conceptualized based on the energy input distance function, and Bayesian Stochastic Frontier Analysis was employed to estimate this metric. The impact of inventory resource efficiency on energy efficiency was subsequently analyzed. This analysis encompassed 22 major Korean steel companies for the period spanning from 2011 to 2019. The principal findings of this study are as follows: Firstly, the average energy efficiency of the companies under analysis was found to be 0.8630. Secondly, the negative impact of capital on energy usage was exhibited. Thirdly, a positive effect of inventory resource efficiency on energy efficiency was observed. These findings underscore that enhancing energy efficiency necessitates the improvement of inventory resource efficiency. Moreover, the introduction of state-of-the art equipment and machinery is likely to further enhance energy efficiency. Additionally, the application of Bayesian Stochastic Frontier Analysis for estimating energy efficiency, coupled with the first-time use of inventory resource efficiency as an indicator of inventory management performance to explore its relationship with energy efficiency, provides significant academic contributions to this field.

확률적 거리함수를 활용한 지역별 에너지효율성 추정

정다솜 ( Dasom Jeong ),강상목 ( Sangmok Kang ) 한국환경경제학회·한국자원경제학회 2021 자원·환경경제연구 Vol.30 No.4

본 연구의 목적은 전통적 에너지효율의 지표인 에너지원단위(Energy Intensity)를 넘어 확률적 프런티어 접근으로 우리나라의 지역별 에너지효율성을 추정하고 이를 에너지효율 개선을 위한 기초적 자료로 제공하고자 함이다. 이를 위해 1998 - 2018년 기간 동안의 우리나라 16개 시·도의 에너지효율성 및 에너지원단위 효율성을 확률적 거리함수를 활용하여 추정한다. 부가적으로 선행연구에서 혼재하고 있는 자본스톡 추계방법들에 따른 에너지효율성 순위의 강건성을 살펴본다. 분석 결과 첫째, 세 가지 에너지효율의 지표에 따라 지역의 순위에 상당한 변동이 있었으므로 이들을 상호보완적으로 사용해야 할 것이다. 둘째, 에너지효율성은 시간이 지남에 따라 미미하지만 조금씩 개선된 반면, 에너지원단위 효율성은 미미하지만 하락했다. 마지막으로 자본스톡 추계방법에 따른 지역별 에너지효율성은 강건하지 않았다. 경제분석에서 중요한 자본스톡 추정 시 신중을 기해야 할 것이다. The purpose of this study is to provide basic data for improving energy efficiency by estimating the regional energy efficiency in Korea using the stochastic frontier approach beyond the energy intensity that has been traditionally used as an indicator of energy efficiency. In this paper, energy efficiency and energy intensity efficiency were estimated as a stochastic distance function from 1998 to 2018 for 16 cities and provinces in Korea. In addition, the robustness of energy efficiency according to the capital stock estimation methods which had been mixed in previous studies was reviewed. As a result of the analysis, there is a significant change in regional rankings according to the three energy efficiency indicators, so they should be used complementary to each other. Second, while the energy efficiency improved little by little over time, the energy intensity efficiency decreased slightly though. Lastly, energy efficiency by region according to the capital stock estimation method was not robust. Care must be taken in estimating capital stock, which is important in economic analysis.

중국의 에너지 효율성에 관한 연구 : 석탄, 전기, 물 에너지를 중심으로

Zhang, Dong-Zhe,Zhang, DongMing,김종순 韓國商品學會 2012 商品學硏究 Vol.30 No.5

The new energy development and energy efficiency technology is the future of national competitiveness. Over the past 30 years, China has maintained an annual growth rate of nearly 10%. But now, China is facing an energy shortage and environmental pollution problems. To address these issues, China capitalized on the 2008 Beijing Olympic Games and increased investment in the field of environmental technology. In 2009, China invested 4525.3 billion RMB to counter its environmental pollution problems. This was corresponds to 1.33% of GDP in 2009. Under normal circumstances, the use of energy will bring about environmental pollution, and China is amajor energy consumer. The purpose of this study is to evaluate the Chinese each regions of energy efficiency. The purpose of this study is to evaluate the Chinese each regions of energy efficiency, Identify regions that need improvement in regions of energy efficiency, and ultimately to assess the level of energy efficiency in China, and provide a basis for improving energy efficiency. To this end, this study used the National Bureau of Statistics of China and DEA(Data Envelopment Analysis) to evaluate the Chinese each regions of energy efficiency. The result of this study will be helpful in understanding the efforts of China's energy efficiency to pursue a sustainable development, and China's Central Government to improve the each regions energy efficiency. 지난 30여 년 동안 연평균 10%에 가까운 고성장으로 중국은 에너지 부족과 환경오염 문제에 시달려 왔다. 환경문제개선에 있어 사후처리보다 사전 조치와 통제가 중요한데, 중국은 사전 조치와 통제, 환경문제 해결을 위해 환경법을 제정하여 규제를 강화하는 한편 관련예산을 확대하고 베이징올림픽을 계기로 오염문제 해결에 많은 노력을 기울이고 있다. 하지만 세계의 공장으로서 생산과 소비에 많은 에너지를 필요로 하고 있다. 에너지이용으로 인한 환경오염과 경제발전의 모순(矛盾) 속에서 제한된 에너지 자원으로 경제적 수익성과 환경적 지속가능성을 동시에 추구하기 위해서는 에너지 효율성 향상이 시급하다. 본 연구는 2010년 중국통계년감의 통계자료를 이용하여 각 성·시 에너지이용 효율성을 분석하여 에너지이용 효율성이 낮은 지역을 파악하고, 이들 지역이 벤치마킹 할 수 있는 에너지이용이 효율적인 지역을 제시하는 것이다. 본 연구는 DEA기법을 통한 실증분석으로 에너지이용 효율성 향상이 시급한 지역과 이들 지역이 벤치마킹할 수 있는 지역들에 관한 기초정보를 제공하였다는 점에서 의의를 가진다고 할 수 있다.

Energy Efficiency Analysis in Korea with 90-95-2000 Link Energy-Environment IO Table

Kim, Yoon-Kyung 한국암반공학회 2007 Geosystem engineering Vol.10 No.1

Improvement of energy efficiency has been a major public policy concern in Korea. Investment cost for location of avoidance facility such as nuclear power and radioactive waste management facility, environmental pollution etc could significantly reduced from improvement of energy efficiency. Energy efficiency improvement could be one of good solution to cope with volatile energy market. Korea has been high oversea dependency in fossil fuels supply to meet its energy requirement. Its import dependency on fossil fuels in 1995 and 2000 is respectively 96.8% and 97.2%. The fact that Korea depends heavily on imported energy shows it should make more efforts to promote improvement of energy efficiency. Although Korean Government has supported industrial sector in improvement of energy efficiency, some energy analysts and critics point out that Korea has little progressed in energy efficiency improvement. This paper estimated its energy efficiency and analyzed its improvement with energy Input-Output table 90-95-2000 of Korea. The results are appeared differently. The cross section and time series analysis result of the energy efficiency is that energy elasticity for GDP, energy intensity and induced energy consumption between 1995 and 2000 significantly improved. From 1990 to 1995, energy elasticity for GDP is bigger than 1. It means that energy consumption increased rapidly more than GDP growth rate. This is the evidence that energy efficiency was not improved. Energy intensity of each industrial sector between 1995 and 2000 is lower than in cases of1990 and 1995. It shows that energy efficiency was improved. As energy intensity of each industry becomes lower, induced energy consumption of economy goes smaller because of interaction among sectors.

대규모 정전사태 방지를 위한 에너지수요관리 법제도 개선 방안

김종천 ( Jong Cheon Kim ) 홍익대학교 법학연구소 2014 홍익법학 Vol.15 No.1

The September 15, 2011 blackout incident proves the fact that Korea`s electricity demand overweighs electricity supply during every year`s winter and summer festivals. Thus, public demands the government (Ministry of Commerce, Industry and Energy) to come up with more effective energy saving measures. The distorted price structure system that does not reflect current production price is highly criticized as being obstacles for energy-saving efforts. Wolsong nuclear power generator no.1 in Gyeongju has stopped due to malfunctioning in October and November of 2012. Also Yeonggwang Nuclear Power generator no.5 and no.6 in 1,000,000-kW class will be stop by the end of this year. During intensively cold period in this winter, Korea possibly will face a major blackout. In this respect, we must say that there is a limitation because existing regulation-oriented energy policy system cannot manage energy demand effectively. There are no applicable provisions regarding status of “public interest,” legal principles on the efficiency of Administrative law, and demand management, as constitutional basis and limit for energy demand management. Nevertheless, as constitutional basis and limit for energy demand management, policies regarding energy development can be derived (the Mining Law and Submarine Mineral Resources Development Act), energy demand management can be based on the Constitutional Law Article 37 Section 2. Since such legislation related to energy demand management policy may fall under restriction of fundamental rights, it should be consistent with principle of proportionality. However, regulating energy saving policy to energy consumer for energy demand management may constitutionally violate the individual freedom. For example, Rational Energy Utilization Act enforcement regulations Article 31 Section 2 requires that “standard for thermal limits of air conditioning and heating under Article 36 Section 2 Subsection 1(the “thermal limits”) are as follows: air conditioning: above 2 6℃ and heating: below 20 ℃, except for sales facilities and airport where air conditioning thermal limit shall be above 25℃.” In addition, requiring energy supplier to improve energy efficiency for energy demand management means limiting business occupation and therefore we should check whether it violates the principle of proportionality. It should be regarded as not conforming with principle of proportionality. As main content of Low Carbon Green Growth Act, there are fundamental principles such as energy policies (Article 39 Section 2), energy basic planning, and greenhouse gas energy target system. Building Act, for the purpose of energy demand management, legalized Green Building Certification Program, Intelligent Building Certification Program, vitalization of building environment friendly buildings and efficient energy usage of buildings, and Building Energy Efficiency Rating System (Energy Consumption Certification for real estate transactions). However, it was criticized for being under control of Ministry of Land, Transport and Maritime Affairs. This can be seen as the basis law for demand management program according to Rational Energy Utilization Act. In such law, there are many demand management systems such as energy use efficiency measure for national and provincial organizations and demand management investment plans of energy supplier, efficient energy consumption managing equipment labeling system, average energy consumption efficiency system and improvement order, standby power reduction product endorsing system, standby power reduction excellent product labelling system and preferential purchasing system, high efficiency energy equipment certifying system and preferential purchasing system, support system for energy service company, support system of companies which entered into agreements voluntarily, support system of energy management system, reporting system of energy glutton business and mandatory system of energy diagnosis, notification system of target energy consumption rate setting, utilization of waste heat, heat using machinery management - registration of certain heat using machinery, examination of machinery subject to inspection, appointment of operators for machinery subject to inspection, etc. Recently, developed countries have adopted several programs to strengthen energy demand management and they include: USA`s EERS, England`s EEC and CERT, EU`s efficiency management program for energy using machinery, Germany`s 2000 National Climate Protection Program enacted in 2005, Co2-building improvement and maintenance program enacted in 2001, Renewable Energy Law enacted in 2004, German Greenhouse Gas Emission Allowance Trading Act (TEHG) enacted in 2007 and Energy Saving Regulation (EnEV) enactment, quota law, and Japan`s “Top-Runner System” for energy use rationalization. These programs have been adopted for the purpose of energy saving and thus provide many implications to Korean legislation. Therefore, for energy demand management, “improvement on energy efficiency obligation” system was included to Rational Energy Usage Law Article 9 Section 2. Also, following improvement plans were suggested: Top-Runner System adoption plan, “energy conservation stickers on electronics” adoption plan (Section 65 Subsection 2), and “Energy Storage System (ESS) and smart grid (intelligence power grid) construction scheme” for Building and Promoting Smart Grid Act, enacted on May 24, 2011.

유가 충격 이질성을 고려한 에너지 다소비 사업장의 에너지 효율성 추정

이우평 ( Woopyeong Yi ),강상목 ( Sangmok Kang ) 한국생산성학회 2018 生産性論集 Vol.32 No.3

To explore more reasonable GHG mitigation policies, more accurate information on the company's energy performance indicators are needed. Generally, energy intensity is frequently used as an indicator for energy performance. Although the indicator has the advantage of being intuitive and simple, it is also true that many other statistical factors are not taken into consideration. At this time, energy efficiency based on Stochastic Frontier Analysis (SFA) technique or Data Envelopment Analysis (DEA) technique can be used as an alternative indicator to energy intensity. The techniques can drive more accurate performance by considering more information than energy intensity. Despite the importance of measuring the energy efficiency of the enterprise unit, study on the energy efficiency measure at enterprise unit or business unit in Korea has rarely been studied so far. The reason for the lack of research on the issue is probably because the data of firm level energy consumption has not been generally publicized. The purpose of this study is to measure the energy efficiency of the energy consumption industry in Korea based on the internal data of the Korea Environmental Industry & Technology Institute. We estimate energy efficiency of facilities in Energy Intensive Industries of Korea with Stochastic Frontier Model. Considering information and degree of freedom of the dataset, sophisticated model is not available. Therefore, this study benchmarks Stochastic Frontier Model proposed by Herrala & Goel (2012) which is one of the very simple model for greenhouse gas efficiency. The benchmarked part from Herrala & Goel (2012) is the functional form and variable selection of the regression equation. It is another matter to decide the estimation method. In this study, time varying panel SFA technique of Battese & Coelli (1992) is benchmarked for estimation. Energy Intensive Industries can be influenced by oil price shock; however, the time span of dataset of the study, 2013-2015, was a period in which the oil price fell sharply. If each firm's sensitivity to exogenous shocks such as oil price shocks, is different, time varying heterogeneity can be included in efficiency measure. Therefore, we control the oil shock heterogeneity using by oil price fluctuation as a proxy variable with firm specific coefficient based on the time varying panel SFA model of Battese & Coelli (1992). As a result, it is found that there are significant energy inefficiencies of firms in iron & steel, nonmetal, and chemical industries. However, there is no significant difference in energy efficiencies in firms in paper industry. The presence of inefficiency means that more energy is used under the same output. Although existence of an energy inefficiency is a negative sign, but it also means that there can be a chance to improve overall energy performance by improving inefficiency. The contribution of this study is in terms of statistical technique rather than finding a specific policy alternative. In particular, the time varying heterogeneity problem presented in this study is newly suggested in the efficiency related study. Policy implications can be found in that it serves as an important part of many analyses, as is the case with energy intensity. The energy efficiency indicator proposed in this study needs to be combined with information from individual companies in order to bring on a substantial policy implication; thus, many follow-up researches are needed.