• Journal of Digital Convergence
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• v.11 no.11
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• pp.767-774
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• 2013

The electricity demand and supply could be off balance if several electric vehicles(EVs) were charged at the same time or at peak load times. Therefore, smart grids are necessary to flatten the EVs' electricity demand and to enable EVs to be used as distributed storage devices as electricity demand from EV-charging increases. There are still few quantitative studies on the impact of smart grids on managing EVs' electrical loads. In this study, we analyzed the quantitative impact of smart grids on managing EVs' electrical loads and suggested policy implications. As a result, it is identified that smart grids can manage effectively EVs' impact on electrical grids. The electricity market structure and regulatory framework should support the demonstration and commercialization of smart grid technologies.

• Environmental and Resource Economics Review
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• v.27 no.4
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• pp.725-743
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• 2018

Industrial groups (representing the polluters) and environmental non-governmental organizations (representing the victims) respond differently to various environmental policy instruments. As the affected group's power is large either politically or economically, it is unlikely that a single instrument will be actually selected despite being effective or efficient because of the high political costs associated with it. In this paper, we focus on the political role that energy subsidies play in creating a compromise between energy consuming polluters and victims of pollution. The use of a Dolbear (1967)'s triangle Edgeworth box model makes it possible to examine how policy selection affects the income distribution and welfare levels of two groups. The effects of a single policy instrument of either direct regulation or tax are compared with those of a policy mix that includes energy subsidies. We found that the addition of energy subsidies would increase the chance of compromise between polluters and victims.

• Journal of the Korean Regional Science Association
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• v.8 no.1
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• pp.67-86
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• 1992

• Environmental and Resource Economics Review
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• v.20 no.1
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• pp.33-60
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• 2011

The purpose of the article is to compare the impacts of energy efficiency and economic growth for energy demand through production frontier approach in OECD countries. We compared the traditional energy intensity with energy efficiencies of production frontier approach, slack efficiency on the frontier, and estimated elasticity of energy demand for GDP growth. First, the energy intensity has a low relationship with energy efficiency by radial approach, but has constant correlations with slack energy efficiency, slack-adjusted efficiency by non-radial approach, and energy efficiency by horizon approach. If we measure energy efficiency only with energy elasticity, it may make a mistake. Especially the energy efficiency by radial approach has a tendency to overestimate most OECD countries. Second, as many countries have excess energy consumption of 17.3% even on the points of the frontier, reduction of energy consumption is necessary in addition. Third, the average energy elasticity of OECD countries is 1.1 close to elasticity 1. There exists the difference of elasticity among countries and the energy demands are also high in countries with high elasticity.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.33-42
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• 2020

The neoclassical economic supporters have suggested that foreign direct investment and raw material (e.g., coal, electricity, gas, and oil) are critical economic growth inputs. Few previous studies have analyzed the relationship between foreign direct investment and energy consumption on economic growth. However, existing studies usually have applied the frequentist inference. The limitation of the frequentist inference is that, if the coefficient of the independent variable is not yet significant, then conclusions might be unreliable. By applying the Bayesian approach, the main aim of this study is to revisit the impact of foreign direct investment, electricity consumption, and urbanization on economic growth in six ASEAN countries from 1980 to 2016. The obtained outcome shows that the impact of electricity consumption is evident and positive on economic growth in both frequentist and Bayesian inferences. However, the influence of foreign direct investment is not identified by frequentist inference, while Bayesian inference provides evidence that foreign direct investment is a moderately positive impact on economic growth. The empirical result from Bayesian inference contributes to the literature on foreign direct investment modeling and could be of significant importance for a more efficient foreign direct investment attracting and achieve sustainability in the long-term.

• Environmental and Resource Economics Review
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• v.22 no.3
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• pp.547-580
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• 2013

As energy conservation can be realized through changes in the composition of goods and services consumed, there is a need to assess indirect and total household energy consumption. The Korean household sector was responsible for more than 55% of Korea's total energy consumption in the 1995 to 2010 period. More than 69% of household energy consumption was indirect. Thus, not only direct but also indirect household energy consumption should be the target of energy conservation. Electricity consumption became in 2009 the main source of household energy consumption in Korea. Households consume more and more electricity intensive goods and services, a sign of increasing living standards. Decrease in energy intensities of products consumed by Korean households contributed greatly to reduce the increase in the total household energy consumption. However, switching took place towards more energy intensive products, thus the structure effect was negative. It is necessary to direct consumption and production towards much less energy intensive goods and services as to reduce energy consumption or its growth rate. The Korean government should readjust low energy and electricity prices to cost-reflective prices levels as these low prices are one of the main reasons for the consumption of more energy intensive products. This study differentiates prices of oil products and electricity between households and industries, as to allow more accurate estimation.

• Advances in Energy Research
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• v.1 no.2
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• pp.127-146
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• 2013

Torrefaction technologies convert assorted biomass feedstocks into energy-concentrated, carbon neutral fuel that is economically transported and easily ground for blending with fossil coals at numerous power plants around the world without needs to retrofit. Utilization of torrefied biomass in conventional electric generating units may be an increasingly attractive alternative for electricity generation as aging power plants in the world need to be upgraded or improved. This paper examines the economic feasibility of torrefaction in different scenarios by modeling torrefaction plants producing 136,078 t/year (150,000 ton/year) biocoal from wood and corn stover. The utilization of biocoal blends in existing coal-fired power plants is modeled to determine the demand for this fuel in the context of emerging policies regulating emissions from coal in the U.S. setting. Opportunities to co-locate torrefaction facilities adjacent to corn ethanol plants and coal-fired power plants are explored as means to improve economics for collaborating businesses. Life cycle analysis was conducted in parallel to this economic study and was used to determine environmental impacts of converting biomass to biocoal for blending in coal-fired power plants as well as the use of substantial flows of off-gasses produced in the torrefaction process. Sensitivity analysis of the financial rates of return of the different businesses has been performed to measure impacts of different factors, whether input prices, output prices, or policy measures that render costs or rewards for the businesses.

• Environmental and Resource Economics Review
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• v.31 no.2
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• pp.291-317
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• 2022

This study tried to analyze the factors affecting consumers' vehicle selection for the spread of eco-friendly vehicles. We used the energy census data for this purpose, and although the energy census collects useful information from a large number of samples, it has been limitedly used to create simple statistics in many cases. Based on 2,771 transport sector microdata from the 2017 Energy Census, we collected vehicle price, fuel efficiency, and number of vehicle models, which are alternative characteristic variables that change according to consumers' choice, and converted and analyzed data to enable conjoint analysis. The analysis results in two-folds. First, it was confirmed that the official fuel efficiency of a vehicle and the fuel cost, which is affected by changes in the relative price of each fuel, are important variables in selecting an eco-friendly vehicle. In order to achieve the goal of spread of eco-friendly vehicles, it is necessary to develop technologies to improve fuel efficiency and set appropriate electric rates for charging electric vehicles. Second, an increase in the number of vehicle models through the expansion of the eco-friendly car industry and market also affects consumers' choice of eco-friendly vehicles, so efforts to expand the supply of eco-friendly vehicles will be an important factor. In addition, it is also significant that this study showed that the use of the energy census can be diversified by deriving meaningful policy implications using the results of the energy census periodically conducted in the country without a separate survey.

• Journal of the Korean Home Economics Association
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• v.18 no.1
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• pp.67-82
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• 1980

The objectives of the study were to determine 1) energy uses for residential requirements, 2) if energy consumption and adoption of energy conservation attitudes and practices vary with independent variables family size, stage of family life cycle, homemaker's level of education, income, heating system, and number of electrical household items, and 3) if there is a correlation between energy conservation attitudes and practices. Questionnaires were given to the randomly selected homemakers I Seoul in the summer (September, 1979) and the winter (February, 1980). Analysis of variance and correlation were used to analyzed the data which consisted of 537 usable responses of 895 returned in the summer and 554 responses of 794 returned in the winter. The results are as follows: 1) The order of consumption rate of the direct energy uses for residential requirements was found to be heating and air conditioning, cooking, refrigeration, T.V., lighting, and miscellaneous. 2) Energy consumption and adoption of energy conservation attitudes and practices were significantly related to family size, homemaker's level of education, and the stage of family life cycle. (1) Families of five members revealed higher scores in attitudes and practices than families less than five or more than six. (2) The higher the homemaker's level of education, the more energy consumption and the higher scores I attitudes and practices were found. (3) Families in the middle stage of family life cycle tend to use more energy than younger or older families, but their scores in attitudes and practices were high. 3) There was a significant correlation between energy conservation attitudes and practices. However, the scores of the conservation practices were not as good as the attitudes. It may be attributed to either a lack of knowledge and/or financial difficulties, or a dissonance between the concept and implementation of energy conservation. 4) Recommendations for the energy-saving and energy-related public policies are: (1) to use such human resources as attitudes, values, feelings of agreement, and cooperation, as well as nonhuman resources for the energy conservation, (2) to develop a educational program and a creative system I order to implement energy conservation programs, and (3) to consider direct as well as indirect energy uses I selecting goods and services.

• Environmental and Resource Economics Review
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• v.12 no.2
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• pp.327-346
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• 2003

Unlike previous studies on the causal relationship between energy consumption and economic growth, this paper analyses the dynamic causal relationship between these variables using the dynamic vector using Johansen's multiple cointegration procedure, dynamic vector error-correction model and impulse response function. The empirical results show that while the energy consumption to a shock in income responds positively, the income responds positively to the shocks in energy consumption in the first place and then the responses become negative. We also find that the impact of energy consumption shock on the income is short-lived and causes higher inflationary pressure.