• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.187-201
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• 2022

This study analyzed the dynamic changes in the energy poverty structure of all households, elderly households, and single-person households in Korea. To this end, a TIP curve was derived and the focus was on changes in energy poverty intensity and poverty incidence. For the data, annual and quarterly data on fuel costs from the National Statistical Office's Household Income and Expenditure Survey were used. And the results were presented using data from the first quarter, where the energy poverty problem can be prominent due to the high proportion of heating costs among the four quarters. As a result of the analysis, there was no clear improvement in poverty intensity and poverty incidence over time in the analysis of all households. However, the analysis of elderly and single-person households showed improvement in poverty intensity and poverty incidence over time. In particular, in the results of the analysis using the data for the first quarter, the poverty intensity and poverty incidence of elderly and single-person households improved remarkably. In addition, the poverty intensity and poverty incidence of the elderly and single-person households were larger than the all households, and the energy poverty of single-person households was more severe than that of the elderly households.

• Journal of Korea Planning Association
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• v.53 no.6
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• pp.101-116
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• 2018

Paying an attention to the issue of energy poverty of low-income households and ensuing regressivity of energy consumption, this study empirically analyzes the effects of both household and housing characteristics on heating energy consumption in an integrated way and identifies their causal structure based on the 2016 Korea Housing Survey data provided by the Korean government. Multiple regression analysis shows that household income and deteriorated level of housing, such as age and degree of cracks have positive effects and floor area of housing has a negative effect on the heating energy consumption per unit area of housing (HECPUH). Path analyses further reveal that the direct effect of household income on HECPUH is offset by the indirect effects that are mediated by deteriorated level and floor area of housing, making the total effect statistically insignificant. As a result, there is no significant difference in HECPUH across all income strata, implying that low-income (high-income) households pay more (less) heating costs relative to their income level, since they reside in the houses with relatively low (high) energy efficiency. To deal with this regressive causal structure of energy consumption, a policy option is recommended to improve energy efficiency of low-income housing through the government assistance in its maintenance and repair.

• KIEAE Journal
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• v.16 no.5
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• pp.39-45
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• 2016

Purpose: The purpose of this study is to analyze the energy saving and cost benefit analysis of the Low-income Energy Efficiency Treatment Program supported by KOREF(Korea Energy Foundation). This program was launched in 2007 and performs building energy retrofit for the low-income and energy poverty houses. Method: Energy simulation and cost benefit analysis were accomplished for the low-income detached houses. The structure of detached house was a lot og block structure, wood frame (single glass) and concrete roof. Baseline model of the low-income detached houses was proposed. Result: Annual heating energy consumptions were decreased by about 3.2% with the window system replacement(Case 1), 9.3% with reinforcement of insulation(Case2), and 12.5% with both(Case 3) compared to those of baseline model. The construction cost will be recouped within 5 years for the Case 1, 3 years for the Case 2, and 3 years for the Case 3. Case 3 was the most cost beneficient construction method in the analyzed cases in this study.