• 에너지공학
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• 제2권1호
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• pp.22-27
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• 1993

수송용 에너지 수요변화에 대한 요인분석을 시도하고자 에너지 수요함수를 추정하고, 이에 따라 수요변화에 대한 각 요인별 기여도를 산출하였다. 여기서, 에너지 수요를 결정하는 요인으로 가격, 경기, 수송활동 및 연료전환 등의 변수를 채 택하였다. 기여도 분석 결과 나타난 시사점을 몇 가지로 요약할 수 있다. 1) 가격요인의 기여도는 최근의 경우보다 증대되고 경기요인의 기여도는 현재 수준보다 작아지는 것이 바람직하다. 2) 수송활동 요인의 ＋효과가 증대되는 시점에서 연료경제 향상 및 에너지절약적 교통체계 개선노력이 중요시되고 있다. 3) 연료전환요인의 휘발유로의 ＋효과가 커지고 있기 때문에 에너지 이용효율이 높은 대중 교통수단의 이용을 증대시키기 위한 정책적 노력이 지속되어야 할 것이다.

• Asian-Australasian Journal of Animal Sciences
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• 제32권8_spc호
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• pp.1219-1232
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• 2019

The global goat population continues to grow and is now over one billion. The number of goats raised primarily for milk production is also growing, due to expanding demand. Most of the world dairy goat production and consumption is in Asia, but a global view of the dairy goat sector reveals important lessons about building successful modern dairy goat industries. The most organized market for goat milk is found in Europe, especially in France. The European goat sector is specialized for milk production, mostly for industrial cheesemaking, while also supporting traditional on-farm manufacturing. Government involvement is significant in sanitary regulation, research, extension, support for local producer organizations, and markets, and ensures safety and quality. Nonetheless, producers are still vulnerable to market fluctuations. New dairy goat industries are developing in countries without a long goat milk tradition, such as China, the United States, and New Zealand, due to rising consumer demand, strong prices, and climate change. The mix of policies, management and markets varies widely, but regardless of the country, the dairy goat sector thrives when producers have access to markets, and the tools and skills to sustainably manage their livestock and natural resources. These are most readily achieved through strong and inclusive producer organizations, access to technical services, and policies that enable the poor and marginalized groups to benefit from increasing demand.

• 전기학회논문지
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• 제59권9호
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• pp.1581-1586
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• 2010

Korea Power Exchange has successfully performed the Long-term Electricity Demand Forecasting. Recently there is a lot of change in electricity industry sector; the national master-plan for green gas emission reducing, rise of smart-grid, and new trend of electricity consumption, and it is becoming painful challenging for demand forecasting. In new circumstance the demand forecasting is required more flexible and more accurate.

• 한국연소학회:학술대회논문집
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• 한국연소학회 2014년도 제49회 KOSCO SYMPOSIUM 초록집
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• pp.277-280
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• 2014

Global energy demand has continued to rise due to population increase and economic development. National governments and international bodies try to seek the ways to reduce the demand growth. Energy Technology Perspectives (ETP) have provided the current status of energy system, technology developments and external events that have changed ETP scenario since 2006. The status and prospects for key energy technologies of transport sector are presented. Technology portfolio for the transport sector should be needed to meet very low CO2 targets. The portfolio includes improved fuel economy of current internal combustion engine vehicles, advanced technologies such as electric and fuel-cell vehicles, advanced biofuels and demand-side management.

• KDI Journal of Economic Policy
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• 제41권1호
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• pp.43-58
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• 2019

Since 2009, electricity consumption has developed a unique seasonal pattern in South Korea. Winter loads have sharply increased, and they eventually exceeded summer peaks. This trend reversal distinguishes these load patterns from those in the USA and the EU, where annual peaks are observed during the summer months. Using Levene's test, we show statistical evidence of a rise in temperature but a decrease in variance over time regardless of the season. Despite the overall increase in the temperature, regardless of the season there should be another cause of the increased demand for electricity in winter. With the present study using data from 1991 to 2012, we provide empirical evidence that relatively low electricity prices regulated by the government have contributed significantly to the rapid upward change in electricity consumption, specifically during the winter months in the commercial sector in Korea.

• 한국유기농업학회지
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• 제28권2호
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• pp.171-188
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• 2020

The Coronavirus disease (COVID-19), first identified in China in December 2019, has widely spread worldwide and is an ongoing pandemic. It is expected that the ripple effect of COVID-19 on the global economy including the agricultural sector will increase substantially if not properly controlled shortly. This study examines the potential impact of COVID-19 on the Korean beef cattle sector and farm labor demand for Korean beef cattle using a dynamic partial equilibrium model. The agricultural production value and farm labor demand for Korean beef cattle in the scenario assuming pessimistic GDP growth rate (-1.2% in 2020) with no direct supply shocks fell by up to 4.00% and 0.67%, respectively, compared to the baseline which represents the future without COVID-19 outbreak. On the other hand, the agricultural production value and farm labor demand for Korean beef cattle in the scenario assuming both pessimistic GDP growth rate and supply shocks (-12.7% beef imports and + 2.4% feed cost in 2020) increased by up to 12.08% and 1.99%, respectively, compared to the baseline.

• 수산경영론집
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• 제48권2호
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• pp.19-32
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• 2017

The purpose of this study is to identify problems and suggest improvements of estimating procedures and item of fisheries supply-demand statistics served as a basis for the fisheries supply-demand policies. Korea Rural Economic Institute(KREI) and Ministry of Oceans and Fisheries(MOF) respectively publish the fisheries supply-demand statistics. But the reliability of data is low as the statistics of these two organizations are limited and show discrepancy in the numbers. It is therefore difficult to use them as the basic data for policies. Also, an accurate data aggregation is difficult due to following problems in the items of statistics. 1) Problems in estimating route sales and non-route sales of production, 2) adequacy of fishery product yield rate compared to raw material in the fisheries import/export sector, 3) selection of target companies for understand stocks and survey scope of fish species, 4) applying'0'to non-edible product demand etc. In order to develop the fisheries industry as a future growth industry, it is necessary to establish the accurate fisheries supply-demand policy as the instability of fisheries supply and demand is increasing. To do this, statistical reliability has to be improved. The improvements proposed in this study should be implemented considering urgency. First of all, an exhaustive analysis of stock statistics and conversion rates of raw material yield in the fisheries import/export sector should be conducted. In the medium term and the long term, transferring production statistics to MOF and surveys on the use demand of non-food product and the level of reduced and discarded seafood products should be carried out in consecutive order.

• 한국정보전자통신기술학회논문지
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• 제14권1호
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• pp.70-77
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• 2021

본 논문에서는 산업연관표와 한국표준산업분류를 비교하여 4차 산업혁명 관련 산업을 제조업, 정보통신서비스, 금융 및 보험서비스 그리고 과학기술서비스 4부문으로 재분류하였다. 그리고 수요유도형 모형을 이용해 4부문 산업을 외생화하여 경제적 파급효과를 분석하였다. 생산유발효과, 부가가치유발효과, 취업유발효과에 대한 분석결과, 제조업, 정보통신서비스 그리고 과학기술서비스 부문에서는 도소매 및 상품중개서비스가 큰 것으로 계측되었고, 금융 및 보험서비스 부문에서는 금융 및 보험서비스가 큰 것으로 분석되었다. 수입유발효과는 4차 산업 모든 부문에서 광산품이 가장 큰 것으로 분석되었다. 전후방연쇄효과 분석결과, 제조업과 정보통신서비스 부문은 경기변동에 민감한 중간수요적 원시사업형이고, 금융 및 보험서비스와 과학기술서비스 부문은 최종수요적 원시사업형임을 확인하였다.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2008년도 하계학술발표대회 논문집
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• pp.819-824
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• 2008

Energy consumption in Korea and Japan has already progressed to high level. Especially, it will be important to take up the effort to achieve further energy savings in residential sector that has significant increase both nations. For this reason, research for energy consumption and saving method in residential sector compare Korea with Japan that of similar data to grasps the direction for energy savings. In addition for introduction of distributed energy system to residential sector, such as apartment house, the electricity and gas demand was simulated. To be more specific, several key characteristics were studied, such as housing type housing scale and width of common space.

• Journal of the Korean Data and Information Science Society
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• 제24권4호
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• pp.701-712
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• 2013

이러닝 (e-learning)산업통계는 이러닝산업 전반에 걸친 수요와 공급을 망라한 실태조사통계로 2004년 이후 정보통신산업진흥원에 의해 매년 발표되고 있다. 한국표준산업분류가 2008년 개정 (제9차)됨에 따라, 이러닝 수요부문의 사업체조사에 사용해온 표본설계 (종사자규모 산업분류별 층화추출)에 대한 개선이 필요하게 되었다. 본 논문은 사업체조사의 목표모집단을 개정된 한국표준산업분류에 따라 종사자규모 산업분류별로 층화하고, 각 층에 부여된 목표변동계수값을 만족시키는 멱배분법의 승수를 모의실험으로 찾아서 층화별로 표본의 크기를 결정하였다. 이와 더불어 본 연구에서 고려한 표본가중치 계산, 그리고 가중치를 반영한 모수추정량과 추정오차는 기존의 조사에서 사용된 기술 통계적 분석을 벗어나 업종별과 종사자 규모별 추정과 추정의 정도에 대한 평가를 가능하게 하였다.