• 제목/요약/키워드: final demand

검색결과 364건 처리시간 0.029초

교환국의 위치와 가입구역결정에 관한 연구 (A Study On the Determining Appropriate Location and Boundaries for Exchange)

  • 이무신;강현구
    • 한국통신학회:학술대회논문집
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    • 한국통신학회 1983년도 추계학술발표회논문집
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    • pp.27-31
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    • 1983
  • It is the aim of the placement studies of telephone exchanges to provide facility plans which give the most economic investiment time and size to satisfy the future telephone demand of the area. Main subjects of the stuies are usually the optimal number, locations, service areas, final capacity of the telephone exchanges. This paper explains about the basic methodologies and algorithms expressed in PLAX, a software developed by KETRI to tackle the placement problem in urban areas.

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투입·산출 구조분해를 통한 한·일 제조업 생산 변동요인 분석 (Input-Output Structural Decomposition Analysis on the Production of Manufacturing Industries in Korean and Japanese Economies)

  • 김상춘;최봉호
    • 한국콘텐츠학회논문지
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    • 제17권10호
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    • pp.598-615
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    • 2017
  • 2000년~2011년 동안 제조업의 생산액 변화에 기여한 요인과 요인별 기여도를 투입산출 구조분해분석으로 한국과 일본 간에 비교하였다. 분석결과에 따르면, 제조업 생산 증가에 가장 크게 기여한 요인은 한국의 경우 수출인 반면에 일본에서는 기술변화이다. 한국 제조업 생산 증가에 대한 기술변화의 기여도는 상대적으로 미미하며 감소하고 있는 것으로 분석되었다. 한편, 국내최종수요는 한국에서는 수출에 이어 제조업 생산 증가의 두 번째 기여요인인 반면에 일본에서는 제조업 생산 감소의 가장 큰 기여요인이다. 특히, 두 국가 모두에서 중간재와 최종재의 국산화율은 감소하여 제조업 생산 위축의 주요 요인으로 작용하였다. 결과적으로 한국 제조업의 수출의존적 성장을 재확인하였으며, 이러한 수출의존도가 강화되고 있음도 확인하였다. 하지만, 과도한 수출의존도는 점점 심화되고 있는 세계경제 변동성과 불확실성을 고려할 때 한편으로는 한국 제조업의 지속적 성장에 장애요인이 될 수도 있음을 의미한다. 따라서 모든 기여요인이 균형적으로 성장에 기여하는 것이 중요하며, 특히, 상대적으로 저조한 것으로 분석된 기술변화의 기여도를 높이기 위한 연구개발 및 기술혁신 강화와 중간재 및 최종재의 국산화율 높이기 위한 노력이 더 요구되는 정책적 시사점이 있다.

기계산업에서의 중진국 함정과 기술추격: 한국 기계산업의 사례 (The 'Middle-Income Country Trap' and Technological Catch-up: The Case of the Machine Tools Industry in Korea)

  • 김윤지
    • 기술혁신연구
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    • 제14권1호
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    • pp.147-175
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    • 2006
  • One of the biggest problems of Korean economy is polarization of firms for export and domestic demand and that of conglomerates and SME's achievement. One of the culprits lies weakness of intermediate industry such as machine tool. Since intermediate industry is important path where export performance affects domestic demand and whose actor usually is SMEs with high spill over effect in labor market. Especially, intermediate industry Is vulnerable because of industrial policy biased In backward linkage effect. However if a country fails to develop intermediate industry above some critical point, that country would fall in low-tech equilibrium without growth. In case of benign circle where final goods industry growth leads growth of intermediate industry and again it leads that of final goods industry, it can reach high-tech equilibrium. By contrast, in opposite case where in industrialization latecomer fails to link industries likewise above some critical point that country would fall in low-tech equilibrium without growth. Moreover, for several reasons, machine tool firms of Korea have difficulty in catching up technology above critical point. Firstly. Conglomerate demander neglects their product. Secondly, even after success of development overcoming difficulties they fail to get market share for response of dumping of foreign competitors. And the last one is patent litigation of foreign competitors that incapacitate the technology development. For these, Korean machine tool firms fell in 'middle-income country trap' itself, since they stuck in some extent when they technologically catch up. Consequently, for latecomer country in machine tool industry to leapfrog meaningfully policy support is necessary, Weak intermediate industry does not Induce domestic firms and remained fragile. Therefore, localization, policy should reflect condition of technological catch up more than before, in order to be effective and fruitful. There should be turning point over relationship between conglomerates, major demander of machine tool and SME's, for only with active purchasing of conglomerate Korean machine industry can grow.

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우리나라 수출의 고용파급효과에 관한 연구: 다지역산업연관 및 구조적 요인분해 분석을 중심으로 (Korea's Employment Embodied in Exports: a Multi-Regional Input-Output and Structural Decomposition Analysis)

  • 김태진
    • 경제분석
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    • 제26권4호
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    • pp.65-97
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    • 2020
  • 본 논문의 목적은 우리나라 수출의 고용파급효과와 그 변화 요인을 상세히 분석하는 데 있다. 이를 위해 가장 최근에 공표된 World Input-Output Database (WIOD)의 2000년부터 2014년까지의 세계산업연관표와 사회경제계정을 이용하여 다지역산업연관 및 구조적 요인 분해 분석을 실시하였다. 주요 분석 결과는 다음과 같다. 첫째, 우리나라 수출에 체화된 고용은 지속적으로 증가하였고, 우리나라 고용의 수출 의존도 역시 상승 추세를 보였다. 그러나 부가가치 수출의 고용유발계수는 전반적으로 하락하는 것으로 나타났다. 둘째, 우리나라 수출에 체화된 고용의 상당 부분은 중국, 미국, RoW(Rest of the World)의 최종수요에 기인한 것으로 분석되었다. 셋째, 우리나라 수출에 체화된 고용의 증대에 가장 큰 영향을 준 요인은 해외 최종수요의 변화 요인이었다. 이러한 실증분석 결과에 기초하여 우리나라의 국내 고용 확대를 위한 의미 있는 정책적 시사점을 논의하였다.

한국 의류산업의 국제경쟁력 향상을 위한 결정요인 (The Determinants of International Competitiveness for the Korean Apparel Industry)

  • 백영하;박재옥
    • 한국의류학회지
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    • 제32권3호
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    • pp.474-485
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    • 2008
  • The purpose of this study is to examine the determinants and elements to enhance Korean international competitiveness, employing Porter's(1998) Diamond Model. Half of the 500 leading apparel exporters that were members of the Korea Apparel Industry Association in 2003 were selected as the target of this research. From May to June of 2003, survey questionnaires were sent to executives of these 250 companies in person or by telephone, e-mail, or fax. Seventy questionnaires were used for the final data anlysis. The items used were Reliability, Categorical Regression, and Frequency, using SPSS 11.5. The results were as follows: First, as a result of analyzing the influence of international competitiveness in Korean apparel industry, the firm's strategy, structure, and rivalry was the most influential factor. Others were related and supporting industries, government, chance, demand conditions, and factor conditions. Also, the elements that affect Korean international competitiveness were listed as the level of price competition in foreign markets, the level of labor cost, export marketing capacity, and exchange fluctuation. The most important element to improve the international competitiveness of the Korean apparel industry was a demand growth rate of the overseas markets(Demand Conditions), followed by the level of the labor costs(Factor Conditions), the capability of internationalization(Firm Strategy, Structure, and Rivalry), the change of currency(Chance), the quality and management of products(Demand Conditions), the capability of planning products(Firm Strategy, Structure, and Rivalry), free trade from 2005(Chance), and global sourcing strategy(Firm Strategy, Structure, and Rivalry). Korea's main rival country in apparel related and supporting industry factors is China. However, Korea has a higher level of technology development, quality, and price level than China.

지역산업연관표를 이용한 울산광역시 3대 주력산업의 구조변화와 성장요인 분석 (A Study on Analyzing Structural Changes and Growth Factors of the Three Main Industries in Ulsan Metropolitan City using Regional Input-Output Tables)

  • 김소연;류수열
    • 한국경제지리학회지
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    • 제20권1호
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    • pp.1-15
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    • 2017
  • 본 연구는 2005-2013년간 울산지역의 성장을 견인하고 있는 3대 주력산업(석유화학산업, 조선산업, 자동차산업)이 어떠한 요인에 의해 성장하였는지를 투입산출 구조분해분석법을 통해 실증적으로 분석한 것이다. 이를 위해 한국은행에서 공표한 지역산업연관표를 이용하여 3대 주력산업의 구조변화를 살펴보고, 각 산업의 요인별 성장기여율을 최종수요, 수출수요, 최종재수입대체, 중간재수입대체, 기술변화 등으로 구분하여 분석하였다. 울산의 3대 주력산업 중 석유화학산업과 자동차산업의 총산출과 총수요 증가율은 2005-2010년에 비해 2010-2013년에 증가하였지만, 조선산업의 총산출과 총수요 증가율은 둔화된 것으로 나타났다. 3대 주력산업의 총산출 증가에 대한 요인별 성장기여율 분석한 결과, 수출수요가 가장 큰 영향을 미치는 것으로 나타났다. 산업별로 살펴보면, 석유화학산업은 수출수요 성장기여율이 2005-2010년에 209.23%, 2010-2013년에 113.78%로 가장 큰 비중을 차지하였다. 자동차산업은 수출수요 성장기여율이 2005-2010년에 258.72%, 2010-2013년에 72.69%의 비중을 차지하였고, 기술변화 성장기여율은 2005-2010년에 -115.36%에서 2010-2013년에 16.91%로 크게 증가하였다. 반면 조선산업은 2005-2010년에 수출수요 성장기여율이 94.47%로 가장 큰 비중을 차지하였으나 2010-2013년에는 -255.32%로 크게 감소하였고, 최종수요 성장기여율도 2005-2010년에 1.75%에서 2010-2013년에 -502.65%로 급감하였으나, 최종재수입대체와 기술변화 성장기여율은 280.68%와 492.21%로 크게 증가하였다. 울산의 3대 주력산업의 성장요인 분석은 관련 산업정책을 재정리하고 수립하는데 기초자료로서 역할을 할 것으로 기대한다.

다중선형회귀분석에 의한 계절별 저수지 유입량 예측 (Forecasting of Seasonal Inflow to Reservoir Using Multiple Linear Regression)

  • 강재원
    • 한국환경과학회지
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    • 제22권8호
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    • pp.953-963
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    • 2013
  • Reliable long-term streamflow forecasting is invaluable for water resource planning and management which allocates water supply according to the demand of water users. Forecasting of seasonal inflow to Andong dam is performed and assessed using statistical methods based on hydrometeorological data. Predictors which is used to forecast seasonal inflow to Andong dam are selected from southern oscillation index, sea surface temperature, and 500 hPa geopotential height data in northern hemisphere. Predictors are selected by the following procedure. Primary predictors sets are obtained, and then final predictors are determined from the sets. The primary predictor sets for each season are identified using cross correlation and mutual information. The final predictors are identified using partial cross correlation and partial mutual information. In each season, there are three selected predictors. The values are determined using bootstrapping technique considering a specific significance level for predictor selection. Seasonal inflow forecasting is performed by multiple linear regression analysis using the selected predictors for each season, and the results of forecast using cross validation are assessed. Multiple linear regression analysis is performed using SAS. The results of multiple linear regression analysis are assessed by mean squared error and mean absolute error. And contingency table is established and assessed by Heidke skill score. The assessment reveals that the forecasts by multiple linear regression analysis are better than the reference forecasts.

EDMS를 이용한 인천국제공항의 대기오염 배출량 산정과 주변지역에 미치는 영향 평가 (Assessment of Air Pollution and Estimation of Emission from Incheon International Airport by EDMS)

  • 이성용;장영기
    • 환경영향평가
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    • 제11권2호
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    • pp.67-77
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    • 2002
  • Air traffic increased 12% annually in Korea since 1988 after the Olympics, this rate is two times than the rate of the world average. In order to accommodate fast growing aviation demand, Incheon International Airport is operated at Yongjong Island since March, 2001. The Incheon airport project will continue till 2020. After the final phase in 2020, Incheon International Airport will handle 100 million passengers, 530,000 flights and 7 million tons of cargo annually. In this study, air pollution from aircraft and other sources are calculated and assessed in Incheon International Airport area by EDMS(Emission and Dispersion Modeling System), which is a combined emission and dispersion model for airport. EDMS could also be considered power plant, incinerator and aircraft support equipment such as ground support equipment, aerospace ground equipment, auxiliary power units. And EDMS is recommended as preferred model for air quality assessment of the airport area by U.S. EP A. The result of this study shows that NOx emission from aircraft and support utility is estimated as 27,000 - 35,000 ton/yr and Namdong-Gu area in Incheon city is affected as 30-60 ppb by the NOx emission from these sources in 2020, the final phase of Incheon international airport construction.

산업관련표(産業關聯表)에 의(依)한 임업구조분석(林業構造分析)과 유발생산액(誘發生産額) -임업(林業)이 한국경제(韓國經濟)에 미치는 영향(影響)- (Analysis of Forestry Structure and Induced Output Based on Input - output Table - Influences of Forestry Production on Korean Economy -)

  • 이승윤
    • Journal of the Korean Wood Science and Technology
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    • 제2권4호
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    • pp.4-14
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    • 1974
  • The total forest land area in Korea accounts for some 67 percent of the nation's land total. Its productivity, however, is very low. Consequently, forest production accounts for only about 2 percent of the gross national product and a minor proportion of no more than about 5 percent versus primary industry. In this case, however, only the direct income from forestry is taken into account, making no reference to the forestry output induced by other industrial sectors. The value added Or the induced forestry output in manufacturing the primary wood products into higher quality products, makes a larger contribution to the economy than direct contribution. So, this author has tried to analyze the structure of forestry and compute the repercussion effect and the induced output of primary forest products when utilized by other industries for their raw materials, Hsing the input-output table and attached tables for 1963 and 1966 issued by the Bank of Korea. 1. Analysis of forestry structure A. Changes in total output Durng the nine-year period, 1961-1969, the real gross national product in Korea increased 2.1 times, while that of primary industries went up about 1. 4 times. Forestry which was valued at 9,380 million won in 1961, was picked up about 2. 1 times to 20, 120 million won in 1969. The rate of the forestry income in the GNP, accordingly, was no more than 1.5 percent both in 1961 and 1962, whereas its rate in primary industries increased 3.5 to 5.4 percent. Such increase in forestry income is attributable to increased forest production and rise in timber prices. The rate of forestry income, nonetheless, was on the decrease on a gradual basis. B. Changes in input coefficient The input coefficient which indicates the inputs of the forest products into other sectors were up in general in 1966 over 1963. It is noted that the input coefficient indicating the amount of forest products supplied to such industries closely related with forestry as lumber and plywood, and wood products and furniture, showed a downward trend for the period 1963-1966. On the other hand, the forest input into other sectors was generally on the increase. Meanwhile, the input coefficient representing the yolume of the forest products supplied to the forestry sector itself showed an upward tendency, which meant more and more decrease in input from other sectors. Generally speaking, in direct proportion to the higher input coefficient in any industrial sector, the reinput coefficient which denotes the use of its products by the same sector becomes higher and higher. C. Changes in ratio of intermediate input The intermediate input ratio showing the dependency on raw materials went up to 15.43 percent m 1966 from 11. 37 percent in 1963. The dependency of forestry on raw materials was no more than 15.43 percent, accounting for a high 83.57 percent of value added. If the intermediate input ratio increases in any given sector, the input coefficient which represents the fe-use of its products by the same sector becomes large. D. Changes in the ratio of intermediate demand The ratio of the intermediate demand represents the characteristics of the intermediary production in each industry, the intermediate demand ratio in forestry which accunted for 69.7 percent in 1963 went up to 75.2 percent in 1966. In other words, forestry is a remarkable industry in that there is characteristics of the intermediary production. E. Changes in import coefficient The import coefficient which denotes the relation between the production activities and imports, recorded at 4.4 percent in 1963, decreased to 2.4 percent in 1966. The ratio of import to total output is not so high. F. Changes in market composition of imported goods One of the major imported goods in the forestry sector is lumber. The import value increased by 60 percent to 667 million won in 1966 from 407 million won in 1963. The sales of imported forest products to two major outlets-lumber and plywood, and wood products and furniture-increased to 343 million won and 31 million won in 1966 from 240million won and 30 million won in 1963 respectively. On the other hand, imported goods valued at 66 million won were sold to the paper products sector in 1963; however, no supply to this sector was recorded in 1963. Besides these major markets, primary industries such as the fishery, coal and agriculture sectors purchase materials from forestry. 2. Analysis of repercussion effect on production The repercussion effect of final demand in any given sector upon the expansion of the production of other sectors was analyzed, using the inverse matrix coefficient tables attached to the the I.O. Table. A. Changes in intra-sector transaction value of inverse matrix coefficient. The intra-sector transaction value of an inverse matrix coefficient represents the extent of an induced increase in the production of self-support products of the same sector, when it is generated directly and indirectly by one unit of final demand in any given sector. The intra-sector transaction value of the forestry sector rose from 1.04 in 1963 to 1, 11 in 1966. It may well be said, therefore, that forestry induces much more self-supporting products in the production of one unit of final demand for forest products. B. Changes in column total of inverse matrix coefficient It should be noted that the column total indicates the degree of effect of the output of the corresponding and related sectors generated by one unit of final demand in each sector. No changes in the column total of the forestry sector were recorded between the 1963 and 1966 figures, both being the same 1. 19. C. Changes in difference between column total and intra-sector transaction amount. The difference between the column total and intra-sector transaction amount by sector reveals the extent of effect of output of related industrial sector induced indirectly by one unit of final demand in corresponding sector. This change in forestry dropped remarkable to 0.08 in 1966 from 0.15 in 1963. Accordingly, the effect of inducement of indirect output of other forestry-related sectors has decreased; this is a really natural phenomenon, as compared with an increasing input coefficient generated by the re-use of forest products by the forestry sector. 3. Induced output of forestry A. Forest products, wood in particular, are supplied to other industries as their raw materials, increasng their value added. In this connection the primary dependency rate on forestry for 1963 and 1966 was compared, i. e., an increase or decrease in each sector, from 7.71 percent in 1963 to 11.91 percent in 1966 in agriculture, 10.32 to 6.11 in fishery, 16.24 to 19.90 in mining, 0.76 to 0.70 in the manufacturing sector and 2.79 to 4.77 percent in the construction sector. Generally speaking, on the average the dependency on forestry during the period 1963-1966 increased from 5.92 percent to 8.03 percent. Accordingly, it may easily be known that the primary forestry output induced by primary and secondary industries increased from 16, 109 million won in 1963 to 48, 842 million won in 1966. B. The forest products are supplied to other industries as their raw materials. The products are processed further into higher quality products. thus indirectly increasing the value of the forest products. The ratio of the increased value added or the secondary dependency on forestry for 1963 and 1966 showed an increase or decrease, from 5.98 percent to 7.87 percent in agriculture, 9.06 to 5.74 in fishery, 13.56 to 15.81 in mining, 0.68 to 0.61 in the manufacturing sector and 2.71 to 4.54 in the construction sector. The average ratio in this connection increased from 4.69 percent to 5.60 percent. In the meantime, the secondary forestry output induced by primary and secondary industries rose from 12,779 million Wall in 1963 to 34,084 million won in 1966. C. The dependency of tertiary industries on forestry showed very minor ratios of 0.46 percent and 0.04 percent in 1963 and 1966 respectively. The forestry output induced by tertiary industry also decreased from 685 million won to 123 million won during the same period. D. Generally speaking, the ratio of dependency on forestry increased from 17.68 percent in 1963 to 24.28 percent in 1966 in primary industries, from 4.69 percent to 5.70 percent in secondary industries, while, as mentioned above, the ratio in the case of tertiary industry decreased from 0.46 to 0.04 percent during the period 1963-66. The mining industry reveals the heaviest rate of dependency on forestry with 29.80 percent in 1963 and 35.71 percent in 1966. As it result, the direct forestry income, valued at 8,172 million won in 1963, shot up to 22,724 million won in 1966. Its composition ratio lo the national income rose from 1.9 percent in 1963 to 2.3 per cent in 1966. If the induced outcome is taken into account, the total forestry production which was estimated at 37,744 million won in 1963 picked up to 105,773 million won in 1966, about 4.5 times its direct income. It is further noted that the ratio of the gross forestry product to the gross national product. rose significantly from 8.8 percent in 1963 to 10.7 percent in 1966. E. In computing the above mentioned ratio not taken into consideration were such intangible, indirect effects as the drought and flood prevention, check of soil run-off, watershed and land conservation, improvement of the people's recreational and emotional living, and maintenance and increase in the national health and sanitation. F. In conclusion, I would like to emphasize that the forestry sector exercices an important effect upon the national economy and that the effect of induced forestry output is greater than its direct income.

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다중 분류 시스템을 이용한 가전기기 식별 알고리즘 (Appliance identification algorithm using multiple classifier system)

  • 박용순;정태윤;박성욱
    • 대한임베디드공학회논문지
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    • 제10권4호
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    • pp.213-219
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    • 2015
  • Real-time energy monitoring systems is a demand-response system which is reported to be effective in saving energy up to 12%. Real-time energy monitoring system is commonly composed of smart-plugs which sense how much electrical power is consumed and IHD(In-Home Display device) which displays power consumption patterns. Even though the monitoring system is effective, users should themselves match which smart plus is connected to which appliance. In order to make the matching work to be automatic, the monitoring system need to have appliance identification algorithm, and some works have made under the name of NILM(Non-Intrusive Load Monitoring). This paper proposed an algorithm which utilizes multiple classifiers to improve accuracy of appliance identification. The algorithm proposes to understand each classifiers performance, that is, when a classifier make a result how much the result is reliable, and utilize it in choosing the final result among result candidates from many classifiers. By using the proposed algorithm this paper make 4.5% of improved accuracy with respect to using single best classifier, and 2.9% of improved accuracy with respect to other method using multiple classifiers, so called CDM(Commitee Decision Mechanism) method.