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

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.531-559
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• 2022

It is necessary to study the need for introduction of nuclear energy tax in Korea to internalize the externality cost of nuclear power and to make more balanced taxation system considering LNG and coal power. This study adopts choice experiment method to estimate the willingness to pay (WTP) for possible new tax on nuclear power. The finding is that the tax on nuclear fuel is more preferable to other tax base with KRW2.19/kWh of WTP, compared to KRW1.46/kWh for nuclear waste. The WTP for using the tax revenue to facilitate economic activity is KRW6.39/kWh compared to KRW6.12/kWh of WTP for funding climate change investment. The finding suggests that the design of nuclear power taxation needs to focus more on the use of tax revenue than on the choice of tax base.

• Proceedings of the SAREK Conference
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• 2004.06a
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• pp.226-226
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• 2004

• Proceedings of KHEA Conference
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• 1997.07a
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• pp.94-94
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• 1997

• Environmental and Resource Economics Review
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• v.30 no.4
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• pp.607-625
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• 2021

The objective of this study is to estimate the relationship between CO₂ emissions and both nuclear power and renewable energy generation, and compare the cost efficiencies of nuclear power and renewable energy generation in reducing CO₂ emissions in Korea. The results show that nuclear power and renewable energy generation should be increased by 1.344% and 7.874% to reduce CO₂ emissions by 1%, respectively. Using the estimated coefficients and the levelized costs of electricity by source including the external costs, if the current amount of electricity generation is one megawatt-hour, the range of generation cost of nuclear power generation to reduce 1% CO₂ emissions is $0.72~$1.49 depending on the level of external costs. In the case of renewable energy generation, the generation cost to reduce 1% CO₂ emissions is $6.49. That is, to mitigate 1% of CO₂ emissions at the total electricity generation of 353 million MWh in 2020 in Korea, the total generation costs range for nuclear power is $254 million~$526 million for the nuclear power, and the cost for renewable energy is $2.289 billion for renewable energy. Hence, we can conclude that, in Korea, nuclear power generation is more cost-efficient than renewable energy generation in mitigating CO₂ emissions, even with the external costs of nuclear power generation.

• Environmental and Resource Economics Review
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• v.15 no.2
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• pp.269-296
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• 2006

With the concern of the potential problems which can be observed in terms of the power supply of renewable energies, we need to analyze the impact of additional power generation capacities of renewable energy sources on peak load. Each renewable energy sources are dependent upon wind speed, solar radiation, head differences caused by lunar calendar. Considering that these exogenous renewable energy sources follow their own stochastic distributions, we analyze the probability distribution of the impact of each renewable energy power supply on peak load. As a conclusion, we note that traditional tools used for the analysis of power supply such as capacity factors are no longer appropriate for the analysis of renewable energy sources in that perspective.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.15-27
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• 2022

Recently, as carbon dioxide (CO₂) emissions have increased overall and contributed to air pollution, and awareness of environmental degradation has grown. This study examines the impacts and causalities of economic globalization, economic growth, energy consumption, and capital formation on CO₂ emissions in China over the period 1971-2014. The vector error correction model (VECM) and Granger causality test on time-series data are employed to observe the interactions between CO₂ emission, economic globalization, and various economic factors, including economic growth, energy consumption, and capital formation, since China's early stage of globalization. The empirical results indicate the existence of bidirectional causalities from economic growth, gross capital formation, economic globalization, and CO₂ emission to energy consumption, and bidirectional casualty from energy consumption to CO₂ emission relationships in the short run. The findings of this study suggest that indirect bidirectional causalities from economic growth, economic globalization, and capital formation to CO₂ emission through energy consumption are observed. Moreover, economic globalization accelerates CO₂ emission in the short run but decreases it in the long run. To reduce CO₂ emissions, and to ensure sustainable economic growth and economic globalization progress, some crucial energy-saving and energy-efficiency policies, regulatory rules, and laws are recommended.

• New & Renewable Energy
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• v.20 no.1
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• pp.61-69
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• 2024

This study investigates the barriers to the deployment of solar thermal and ground source heat pump (GSHP) from the perspective of consumers and businesses, as well as evaluates priorities for improving the barriers via expert AHP evaluation. From a consumer's perspective, the overall satisfaction with solar thermal is significantly lower than that with PV and needs to be improved at the installation and use stages. GSHP needs to be improved at the prior-information search stage. From a business perspective, the non-distinction between heat and electricity in mandatory installations in public buildings, the difficulty in assessing the value of heat, and high initial costs impede the deployment. Based on the result of AHP analysis, the priorities for improving the barriers to the wide utilization of solar thermal are evaluated in the order of economic feasibility, policy, acceptability, and technology, where high installation cost is shown to be the greatest barrier. Barriers for GSHP are evaluated in the order of policy, acceptability, economic feasibility, and technology, where policy means improvement is evaluated as the most important factor in promoting the deployment of GSHP.

• Solar Energy
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• v.13 no.2_3
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• pp.151-156
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• 1993

The comparison of solar energy technologies with conventional technologies involves more than just comparing the costs of supplying energy and provding capacity. Solar technologies supply energy in a sustainable manner while having minimal effects on the environment. When choosing between solar energy technologies and conventional technologies, first cost is a important factor. The environmental and other social benifits of using solar energy technologies contrasts sharply with the environmental degradation and social costs resulting from the use of conventional technologies. These hidden costs, sometimes called "social cost", are not included in conventional economics. This paper is emphasized that the consideration of social costs effects comparisons between renewable and conventional energy technologies is of importance.

• Environmental and Resource Economics Review
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• v.21 no.4
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• pp.777-807
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• 2012

This study analyzed the impacts of FTAs (Free Trade Agreements) actively being promoted by the Korean government on the Korean economy, energy consumption and greenhouse gas (GHG) emissions and found the policy implications in terms of the linkage amongst them. The simulation analysis by using a global CGE model, KEEI-GCGE, found that the effectuation of Korea-USA, the Korea-EU and the Korea-China-Japan FTAs at the same time would increase the real gross domestic product (GDP) of Korea by 2.04%. In addition, the energy consumption and GHG emissions of Korea are estimated to increase by 3.33% and 1.53% respectively. These results imply that the various medium and long-term plans and policies related to energy and GHG emissions in Korea should systematically reflect those potential impacts of the FTAs.