Consumer Energy Conservation Behavior After Fukushima: by Isamu Matsukawa

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By Isamu Matsukawa

This publication provides an in-depth empirical research of buyer reaction to replacement regulations for strength conservation. Its major concentration is on cutting edge coverage tools that experience attracted expanding consciousness from lecturers and effort conservation practitioners alike: severe height pricing, conservation requests, in-home monitors, and residential strength studies. The ebook investigates the consequences of those coverage tools on residential call for for electrical energy. the information is drawn from a chain of randomized box experiments for the years 2012–2013 in Japan, the place critical matters approximately strength shortages have emerged within the wake of the nuclear catastrophe in Fukushima. via making use of econometric thoughts to the quantitative research of residential energy intake, the booklet demonstrates how shoppers reply to leading edge tools for strength conservation. It additionally bargains new views on how those tools can be utilized extra successfully and explores the possibility of their functional implementation. This hugely informative e-book is key studying for strength experts in either educational contexts.

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The experiment’s maximum electricity price of 105 cents/kWh is a little more than four times the off-peak price of 25 cents/kWh. This price difference is smaller than that in the CPP literature (Wolak 2011; Faruqui et al. 2014; Fenrick et al. 2014; Jessoe and Rapson 2014). In the first two experiments, there were five critical peak days for each price in the summer and eight for each price in the winter. Six critical peak days for 65 cents/kWh and five of these days for 85 or 105 cents/kWh were applied to the treatment in the third experiment (summer).

Treatments that did not belong to the pair were excluded in the probit model for that pair of groups. Electricity usage in June 2012 and the dummy for the all-electric contracts are employed as explanatory variables. The maximum likelihood estimates of the model indicate that no explanatory variable is statistically significant at the 5 % level, and the likelihood ratio statistic is insignificant for any pair of the control and treatment groups. These results provide evidence of randomization. 4 Summary statistics of households’ characteristics prior to the experiment All electric = 1 Electricity usage in June 2012 (kWh/day) Household size Number of room air conditioners Income < $30,000 Income !

The fifth term on the right-hand side of Eq. 2 represents an error correction term, which accounts for the deviation from the long-run stationary relationship. The long-run relationship is based on the estimated cointegrating vector. The parameter k represents an adjustment coefficient and needs to be negative. The larger k in absolute terms becomes, the more rapidly electricity demand adjusts toward its long-run level. 3 summarizes the estimation results of Eq. 2 over the period 1977– 2013 in Japan.

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