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| 1 |
ID:
126562
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| Publication |
2013.
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| Summary/Abstract |
This paper attempts to measure consumers' perceived net benefits (or net costs) of energy-saving measures in using energy-consuming durable goods. Using the estimated net costs and the volume of CO2 reduced by the measures, a marginal abatement cost (MAC) curve for the average household's CO2 emissions is produced. An analysis using the curve suggests that in order to provide households with an incentive to take actions that can lead to CO2 emission reductions in using energy-consuming durables, a high level of carbon price is needed. In addition, a regression analysis reveals that the net benefits of the measures are larger for households that put a higher priority on energy saving, for those living in detached houses, for those with a smaller number of persons living together, and for those with less income. The result of the analysis using the MAC curve may suggest that promoting energy-saving behavior will require not only a policy to provide economic incentives but also interventions to influence psychological factors of household behavior.
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| 2 |
ID:
166722
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| Summary/Abstract |
The current Korean administration is driving change in the power sector by gradually phasing out nuclear power plants, expanding the use of renewable energy, and imposing restrictions on the operation of coal power plants. Considering these changes, the marginal abatement cost (MAC) curve would provide crucial information to determine an appropriate greenhouse gas reduction target, especially for 2030. This study derives the MAC curves for the Korean power sector in 2030 using a bottom-up optimization model with three scenarios based on different carbon pricing schedules. In addition, the carbon price required to achieve the CO2 emission targets in the Korean power sector in 2030 are estimated. The results show that a carbon price of 135–157 US$/tCO2 would be required to achieve the 2030 emission target for the power sector. By comparing the MAC curves of three different scenarios, we can reiterate the fact that early action regarding climate change mitigation is more effective and efficient than delayed action.
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| 3 |
ID:
150386
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| Summary/Abstract |
The International Maritime Organization (IMO) has recently proposed several operational and technical measures to improve shipping efficiency and reduce the greenhouse gases (GHG) emissions. The abatement potentials estimated for these measures have been further used by many organizations to project future GHG emission reductions and plot Marginal Abatement Cost Curves (MACC). However, the abatement potentials estimated for many of these measures can be highly uncertain as many of these measures are new, with limited sea trial information. Furthermore, the abatements obtained are highly dependent on ocean conditions, trading routes and sailing patterns. When the estimated abatement potentials are used for projections, these ‘input’ uncertainties are often not clearly displayed or accounted for, which can lead to overly optimistic or pessimistic outlooks. In this paper, we propose a methodology to systematically quantify and account for these input uncertainties on the overall abatement potential forecasts. We further propose improvements to MACCs to better reflect the uncertainties in marginal abatement costs and total emissions. This approach provides a fuller and more accurate picture of abatement forecasts and potential reductions achievable, and will be useful to policy makers and decision makers in the shipping industry to better assess the cost effective measures for CO2 emission reduction.
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