• Title/Summary/Keyword: 2-부문 모형

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환경기초시설(環境基礎施設)의 적정규모(適正規模)와 정책적(政策的) 시사점(示唆點)

  • Kim, Dong-Seok
    • KDI Journal of Economic Policy
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    • v.19 no.2
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    • pp.159-211
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    • 1997
  • 환경기초시설에 대한 투자가 우리나라 총 환경관련 예산의 80%이상을 차지하고 있다는 사실에서도 알 수 있듯이, 수질 폐기물의 관리를 위한 기초시설의 건립과 운영은 환경정책의 가장 중요한 부분인 동시에 대규모의 재원을 필요로 하는 사업이며, 따라서 비용극소화를 위한 많은 노력이 요구된다. 환경기초시설의 설치 운영에 소용되는 비용은 크게 두 부류로 나누어지는데, 설치비와 운영비에는 규모의 경제가 있어서 규모가 큰 시설일수록 평균비용이 감소하는 반면, 수거운반비와 보상비는 규모가 큰 시설일수록 평균비용이 증가한다. 따라서 총비용은 시설규모의 U자형 함수가 될 것이며, 이 논문의 목적은 각 비용요소를 계량화하여 환경기초시설의 적정규모, 즉 총비용을 극소화시키는 시설규모를 도출하기 위한 모형을 제시하는 것이다. 이 논문에서 제시한 모형은 수학적으로 단순하여 현실 문제에 쉽게 적용할 수 있으며, 간단한 컴퓨터 프로그램을 통하여 적정규모를 계산하고 비용분석을 할 수 있다. 이 모형을 우리나라의 소각시설에 적용한 결과 다음과 같은 정책적 시사점들을 얻을 수 있었다. 첫째, 생활폐기물의 수거운반비가 1,500원/톤/km이고 가구들이 폐기물 관리지역내에 고르게 분포되어 있다고 가정할 때에 총소각비용을 최소화하기 위해서는 약 23만 가구당 처리용량이 830톤/일인 소각장을 설치 운영하여야 하며, 이때에 폐기물 단위당 처리비용은 약 100원/kg이다. 둘째, 가구당 폐기물발생량과 인구밀도의 지역간 차이로 인하여 적정규모 역시 지역간 차이가 있으며, 우리나라에서는 도시지역일수록 규모가 큰 시설이 효율적이다. 셋째, 폐기물 처리사업은 오염의 원인과 수익의 주체가 분명하므로 처리에 소요되는 비용은 가계가 부담하여야 하며, 이를 위하여 현재의 쓰레기봉투가격을 인상하여야 한다. 넷째, 현재 폐기물 처리시설의 설치 운영이 공공부문에 의하여 이루어지고 있어 이를 민영화하는 것이 바람직한데, 그 이유는 환경기초시설의 적정규모를 도출함에 있어 핵심사항인 비용에 관한 정보를 관련 분야의 민간부문이 더 많이 가지고 있을 가능성이 높으며, 입찰을 통하여 사업자를 선정할 경우 가장 효율적인 기업에 의한 설치 운영이 가능하기 때문이다. 이를 위하여 쓰레기봉투가격의 인상과 함께, 폐기물의 처리가 행정구역에 연계되어 이루어지고 있는 현재의 제도 역시 폐지되어야 한다.

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Sharing Application and Distributed Collaboration Control for Cooperative Work (공동작업을 위한 분산 협조 제어와 애플리케이션 공유)

  • Park, Mun-Seong;Kim, Jin-Seok
    • Electronics and Telecommunications Trends
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    • v.11 no.2 s.40
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    • pp.81-97
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    • 1996
  • 본 고는 공동작업의 환경에서 필요한 요구 사항을 애플리케이션, 기능, 기술 그리고 유연성 부문으로 나누어 정의하고, CSCW(Computer Supported Cooperative Work) 기반의 공동작업 시스템 모형을 제시하였다. 또한 분산 협조 제어 구조로 공동작업을 할 수 있는 시스템들을 조사 및 분석하여, 공동작업 시스템 구성에 필요한 기술과 요구 사항을 제시하였다.

The Economic Effect of Industrial Investment on North Korea Energy and Natural Gas (북한 에너지산업과 천연가스분야 투자에 따른 경제적 파급효과)

  • Kim, Hyoung-Tae;Chae, Jung-Min;Cho, Young-Ah;Kim, Jin-Ho
    • Journal of the Korean Institute of Gas
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    • v.20 no.4
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    • pp.7-14
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    • 2016
  • The economic crisis in North Korea has reduced its capacity to invest in the energy industries. The country is going through a vicious cycle of decreased investment in the energy industries and reduced energy production. This suggests that the energy industries would come to the top priority of investment once the economy improves. This paper calculated the economic ripple effect of the investment on North and South Korean economies based on the assumption that 390 billion won was invested in the construction of a natural gas combined-cycle power plant in Gaesong Industrial Complex. In order to analyze the economic ripple effect of the investment on North Korean economy, we constructed the inter-industry relation table of North Korea for year 2014 and used the input-output model. The ripple effect of the investment in the natural gas industry turned out to be 1.012 billion dollars. In order to analyze the effect of the investment on South Korean economy, we constructed the inter-industry relation table of South Korea for year 2013 and used the demand-driven model for inter-industry analysis. As a result, production, added-value and employment inducement coefficients of the investment in the natural gas industry were calculated as 2.02073, 0.62697 and 8.99409 respectively.

The Evaluation of Future Water Deficit Considering Climate Change in the Han-River Basin (기후변화를 고려한 한강유역의 미래 물 부족 평가)

  • Kim, Soo-Jun;Jun, Hwan-Don;Kim, Byung-Sik;Kim, Hung-Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.139-143
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    • 2009
  • 본 연구의 목적은 기후변화를 고려하여 한강유역의 미래 물부족 정도를 평가하는 것이다. 하지만 미래 기후변화의 영향을 평가한다는 것은 많은 불확실성을 포함하고 있기 때문에 그만큼 예측이 어려운 것이 사실이다. 따라서 본 연구에서는 미래에 예상되는 기후변화와 물수요 시나리오를 바탕으로 기후변화-물수요 시나리오를 구성하였고 각 시나리오에 대한 불확실성의 범위 내에서 미래 이수부문의 수자원평가를 실시하였다. 이를 위해 기후변화 시나리오는 RegCM3 기후모형의 A2 시나리오에 의해 모의된 90년(2001-2090년)의 기상자료의 50 Set을 이용하여 SLURP 강우-유출 모형으로 50 Set의 일유출량 계열을 작성하였다. 또한 물수요 시나리오는 수자원장기종합계획 보완(2006, 건설교통부)의 물수요 시나리오를 바탕으로 고수요, 기준수요, 저수요의 3개 시나리오를 구성하였다. 따라서, 기후변화-물수요 시나리오는 150개 case로서 구성되며 물 수지 기반의 수자원평 가계획모형(K-WEAP)에 의해 미래 기간에 대한 물 부족량을 검토하였다. 검토 결과 미래에 한강유역의 물 부족량은 장기적으로 증가하는 것으로 나타났다. 그리고 한강유역의 소유역별 물부족량을 검토한 결과 특정 소유역에서 물 부족이 가중되고 장기적으로 한강유역 전체로 물부족이 예상되는 소유역이 증가함을 확인할 수 있었다.

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A classical two sector disequilibrium model of distribution and growth cycles with no long-period equilibrium (고전학파 2부문 불균형동학 모형)

  • Lee, Sangheon
    • 사회경제평론
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    • no.38
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    • pp.51-83
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    • 2012
  • Consider an n goods production economy. Assume the equilibrium condition of Sraffa's price system, a balanced growth condition and the goods market clearing conditions. If both equations are given to determine a real wage rate and investment, the economic system is over-determined. It suggests that there exists no long-period equilibrium to satisfy both labor market and goods market conditions. This paper interprets this situation of over-determinacy as a disequilibrium state, and attempts to solve it through disequilibrium dynamics. It constructs a model of accumulation and real wage rates consistent with Lotka-Volterra system, and shows that the overall growth path fluctuates endogenously around a resting point of long-period disequilibrium.

An Estimation of Carbon Embodied in the Export Goods of Korea Using a Hybrid Input-output Approach (우리나라 수출상품에 체화된 이산화탄소 배출량의 추정)

  • Choi, Hanjoo;Lee, Kihoon
    • Environmental and Resource Economics Review
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    • v.13 no.3
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    • pp.441-468
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    • 2004
  • We estimate carbon embodied in the export goods of Korea. A commodity-by-industry IO model ($CO_2$ hybrid IO model) is constructed for the estimation. In the model, all monetary units of energy commodities are converted to physical unit, carbon tons. Results show that total $CO_2$ embodied in the exports of non-energy goods of Korea equals 51.18 million carbon ton or 44% of total $CO_2$ emissions in Korea in 2000. Overall carbon intensity of export goods is estimated as 0.227 carbon ton per million Won. These findings suggest Korea's responsibility on global warming may be imputed to the countries who import and consume Korean goods. It is in accordance with the user pay principle. It is also argued that if UNFCCC impose the burden of $CO_2$ mitigation on importing countries rather than exporting countries, we can prevent '$CO_2$ emission leakages' effectively.

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Region-wide Road Transport CO2 Emission Inventory (지역단위 도로교통 탄소배출 인벤토리구축 방법론)

  • Shin, Yong Eun;Ko, Kwang Hyee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.1
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    • pp.297-304
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    • 2013
  • Due to its excessive $CO_2$ emissions, road transport sector becomes a target for emission reduction strategies. Although precise and reliable emissions inventories are necessary for evaluating plans and strategies, developing the region-wide inventory is a difficult task mainly because of a lack of data including travel patterns and modal volumes in the reginonal context. Most existing inventory methodologies employ fuel sale data within the target region, which ignores actual regional traffic patterns and thus not suited to its geographical context. To overcome these problems, this study develops region-wide $CO_2$ emissions inventory methodology by utilizing the Korea Transport DB (KTDB). KTDB provides a number of useful information and data, such as road network with which one can identify in and out trips over the entire region, traffic volumes of various modes, distance of travel, travel speed and so on. A model of equations that allow the computation of volume of $CO_2$ emitting from the road transport activities within the target region is developed. Using the model, numerical analyses are performed for the case of Busan Metropolitan City to demonstrate the applicability of the developed model. This study is indeed exploratory in the sense that using the existing data, it develops the $CO_2$ emissions inventory methodology which can produce better results than those from conventional fuel sales methodology. This study also suggests further reresarch directions to develop more refined methodologies in region-wide basis.

Feasibility of Stochastic Weather Data as an Input to Plant Phenology Models (식물계절모형 입력자료로서 확률추정 기상자료의 이용 가능성)

  • Kim, Dae-Jun;Chung, U-Ran;Yun, Jin-I.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.14 no.1
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    • pp.11-18
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    • 2012
  • Daily temperature data produced by harmonic analysis of monthly climate summary have been used as an input to plant phenology model. This study was carried out to evaluate the performance of the harmonic based daily temperature data in prediction of major phenological developments and to apply the results in improving decision support for agricultural production in relation to the climate change scenarios. Daily maximum and minimum temperature data for a climatological normal year (Jan. 1 to Dec. 31, 1971-2000) were produced by harmonic analysis of the monthly climate means for Seoul weather station. The data were used as inputs to a thermal time - based phenology model to predict dormancy, budburst, and flowering of Japanese cherry in Seoul. Daily temperature measurements at Seoul station from 1971 to 2000 were used to run the same model and the results were compared with the harmonic data case. Leaving no information on annual variation aside, the harmonic based simulation showed 25 days earlier release from endodormancy, 57 days longer period for maximum cold tolerance, delayed budburst and flowering by 14 and 13 days, respectively, compared with the simulation based on the observed data. As an alternative to the harmonic data, 30 years daily temperature data were generated by a stochastic process (SIMMETEO + WGEN) using climatic summary of Seoul station for 1971-2000. When these data were used to simulate major phenology of Japanese cherry for 30 years, deviations from the results using observed data were much less than the harmonic data case: 6 days earlier dormancy release, 10 days reduction in maximum cold tolerance period, only 3 and 2 days delay in budburst and flowering, respectively. Inter-annual variation in phenological developments was also in accordance with the observed data. If stochastically generated temperature data could be used in agroclimatic mapping and zoning, more reliable and practical aids will be available to climate change adaptation policy or decision makers.

Road Accident Trends Analysis with Time Series Models for Various Road Types (도로종류별 교통사고 추세분석 및 시제열 분석모형 개발)

  • Han, Sang-Jin;Kim, Kewn-Jung
    • International Journal of Highway Engineering
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    • v.9 no.3
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    • pp.1-12
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    • 2007
  • Roads in Korea can be classified into four types according to their responsible authorities. For example, Motorway is constructed, managed, and operated by the Korea Highway Corporation. Ministry of Construction and Transportation is in charge of National Highway, and Province Roads are run by each province government. Urban/county Roads are run by corresponding local government. This study analyses the trends of road accidents for each road type. For this purpose, the numbers of accidents, fatalities, and injuries are compared for each road type for last 15 years. The result shows that Urban/County Roads are the most dangerous, while Motorways are the safest, when we simply compare the numbers of accidents, fatalities, and injuries. However, when we compare these numbers by dividing by total road length, National Highway becomes the most dangerous while Province Roads becomes the safest. In the case of road accidents, fatalities, and injuries per vehicle km, which is known as the most objective comparison measure, it turns out that National Highway is the most dangerous roads again. This study also developed time series models to estimate trends of fatalities for each road type. These models will be useful when we set up or evaluate targets of national road safety.

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Analysis of Real Estate Investment Trusts' Performance By Risk Adjustment Model (위험조정모형을 활용한 미국 REITs의 부동산 유형별 성과 분석)

  • Park, Won-Seok
    • Journal of the Economic Geographical Society of Korea
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    • v.12 no.4
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    • pp.665-680
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    • 2009
  • This study aims at analyzing the performance of Real Estate Investment Trusts(REITs) by Risk Adjustment Model. The main results are as follows. Firstly, most property types of REITs gain positive(+) excess overall returns at first and second period. On the contrary, most property types of REITs gain negative(-) excess overall returns and their standard deviations are larger at financial crisis period. Secondly, lodging, regional mall and commercial mortgage show lower risk-lower return, and freestanding, apartment and specialty show higher risk-higher return than average REITs, according to the CAPM results of . Moreover CAPM results of show the characteristics of REITs as investment commodities changes into higher risk-higher return for financial crisis period. Lastly, risk adjusted demanded returns of REITs are affected positively(+) by systemic risks and negatively(-) by unsystemic risks, according to the Risk Adjustment Model results of both and . Comparing risk adjusted demanded returns of REITs with their realized returns, healthcare reveals the largest outperformance.

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