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CONDITIONAL DEMAND ANALYSIS (3) answer(s).
 
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ID:   162907


Examination of losses in energy savings after the Japanese Top Runner Program? / Inoue, Nozomu   Journal Article
Inoue, Nozomu Journal Article
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Summary/Abstract Many countries have introduced various policies to improve the energy efficiency of home appliances. Japan introduced the Top Runner Program in 1998 to set efficiency standards for major home appliances. Although the energy efficiency of home appliances significantly improved after the implementation of the program, household electricity consumption has also increased. Using micro-level data from the National Survey of Family Income and Expenditure, we conduct conditional demand analysis to show how energy savings have been lost after the Top Runner Program. We find that households began spending more electricity on space cooling and food preservation after the implementation of the program. Although electricity consumption per air conditioner (AC) has decreased, the number of ACs per household has increased. Conversely, electricity consumption per refrigerator (REF) has increased because households have started buying bigger REFs. The energy savings obtained by the Top Runner Program was lost by the size and stock increases of home appliances. If a household increases the size and stock of home appliances, then it will not be possible to reduce the household electricity consumption by simply improving the energy efficiency of appliances.
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2
ID:   104940


Household electricity and gas consumption for heating homes / Jeong, Jaehoon; Kim, Chang Seob; Lee, Jongsu   Journal Article
Jeong, Jaehoon Journal Article
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Publication 2011.
Summary/Abstract Energy consumption has been drastically changed because of energy source depletion, price fluctuations, development and penetration of alternative energy sources, and government policies. Household energy sources are interrelated, and energy price and household characteristics, such as income level and dwelling size, affect the usage. To supply energy consistently and achieve a balance between production and consumption, stakeholders must understand consumer energy-consumption behavior. Therefore, this study identifies household heating energy usage patterns and the substitutive and/or complementary relationships between electricity and gas. Based on a multiple discrete-continuous extreme value model, household utility structure is identified from data on gas-heating usage. Results show greater utility and the smallest satiation values for gas boilers than for electric heaters and electric heating beds. The effects of consumer socioeconomic and environmental characteristics on the choice of heating energy sources were analyzed. Also, for further comparison, the respondents were split into high and low categories for income, heating degree days, dwelling size, and gas usage. Gas was found to be the most economical heating choice for households.
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3
ID:   150641


How do household characteristics affect appliance usage? application of conditional demand analysis to Japanese household data / Matsumoto, Shigeru   Journal Article
Matsumoto, Shigeru Journal Article
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Summary/Abstract Although both appliance ownership and usage patterns determine residential electricity consumption, it is less known how households actually use their appliances. In this study, we conduct conditional demand analyses to break down total household electricity consumption into a set of demand functions for electricity usage, across 12 appliance categories. We then examine how the socioeconomic characteristics of the households explain their appliance usage. Analysis of micro-level data from the Nation Survey of Family and Expenditure in Japan reveals that the family and income structure of households affect appliance usage. Specifically, we find that the presence of teenagers increases both air conditioner and dishwasher use, labor income and nonlabor income affect microwave usage in different ways, air conditioner usage decreases as the wife's income increases, and microwave usage decreases as the husband's income increases. Furthermore, we find that households use more electricity with new personal computers than old ones; this implies that the replacement of old personal computers increases electricity consumption.
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