• Environmental and Resource Economics Review
• /
• v.27 no.4
• /
• pp.695-723
• /
• 2018

Recently, extreme weather due to climate change has become more frequent, and increase of fine dust has worsen air quality in Korea. Therefore, not only negative perception on coal-fired power generation is dominant, but also the social acceptance of nuclear power generation declines. This study aims at deriving consumer preferences on the mid and long term power mix with various energy sources. Willingness to pay for each generation source was estimated and the preference heterogeneity of consumers was examined by using mixed logit and latent class models. Mixed logit estimation results show that the preference heterogeneity of consumers is especially large for the nuclear power relative to renewable or coal energy. According to the estimation results from the latent class model, group 1 prefers renewable energy while group 2 prefers coal energy. Group 3 shows lexicographic preference which means restricted rationality. As for the policy implication, it is necessary to understand the preference heterogeneity of consumer groups in planning the mid to long term power mix.

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.584-585
• /
• 2011

우리나라 자가발전 도서 132개 중 10개 도서를 대상으로 디젤발전과 태양광 풍력의 경제성을 비교하였다. 도서별 전력수요 추정과 함께 발전원의 수명기간 동안 총 비용을 총 발전량으로 나눈 균등화발전단가(원/kWh)를 경제성 분석지표로 사용하였다. 도서별 실제 태양광과 풍황 등 자원량을 반영하지는 않았고 태양광 15%, 풍력 21% 이용률을 가정하였다. 그 결과 4개도서가 경제성 확보가 가능한 것으로 분석되었다. 향후 국가 차원의 손실 최소화 방안 및 국가적 편익 비용을 산출함으로서 향후 도서지역 중장기 경제적 전력공급을 위한 도서 전원 구성에 관한 정책적 방향을 제시할 예정이다.

• Environmental and Resource Economics Review
• /
• v.31 no.2
• /
• pp.165-204
• /
• 2022

This study organized data from 2000 to 2014 for 20 grid-connected countries in Europe and analyzed the determinants of carbon emissions through the panel GLS method considering the problem of heteroscedasticity and autocorrelation. At the same time, the effect of introducing ETS was considered by dividing the sample period as of 2005 when the European emission trading system was introduced. Carbon emissions from individual countries were used as dependent variables, and proportion of generation by each source, power self-sufficiency ratio of neighboring countries, power production from resource-holding countries, concentration of power sources, total energy consumption per capita in the industrial sector, tax of electricity, net electricity export per capita, and size of national territory per capita. According to the estimation results, the proportion of nuclear power and renewable energy generation, concentration of power sources, and size of the national territory area per capita had a negative (-) effect on carbon emissions both before and after 2005. On the other hand, the proportion of coal power generation, the power supply and demand rate of neighboring countries, the power production of resource-holding countries, and the total energy consumption per capita in the industrial sector were found to have a positive (+) effect on carbon emissions. In addition, the proportion of gas generation had a negative (-) effect on carbon emissions, and tax of electricity were found to have a positive (+) effect. However, all of these were only significant before 2005. It was found that net electricity export per capita had a negative (-) effect on carbon emissions only after 2005. The results of this study suggest macroscopic strategies to reduce carbon emissions to green growth, suggesting mid- to long-term power mix optimization measures considering the electricity trade market and their role.