2015
DOI: 10.1111/rsp3.12058
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Estimation and determinants of energy efficiency in Japanese regional economies

Abstract: In response to increased environmental constraints, it has become an important policy issue for Japan to improve energy efficiency for the future, along with the growth of regional economies. This paper uses a stochastic frontier model to estimate the energy demand function and analyse the levels and determinants of energy efficiency. The empirical analysis conducted by using data from 47 prefectures in Japan revealed the following four findings. First, the proposed energy efficiency measure (calculated using … Show more

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Cited by 36 publications
(20 citation statements)
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“…Previous research has shown a negative correlation between population density and energy efficiency (Otsuka and Goto [9]), suggesting that the former may increase the energy efficiency of the entire region. For the scope of this study, land population density (D) is assumed as the index measuring population agglomeration.…”
Section: The Determinants Of Energy Consumptionmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous research has shown a negative correlation between population density and energy efficiency (Otsuka and Goto [9]), suggesting that the former may increase the energy efficiency of the entire region. For the scope of this study, land population density (D) is assumed as the index measuring population agglomeration.…”
Section: The Determinants Of Energy Consumptionmentioning
confidence: 99%
“…Otsuka and Goto [9] have empirically demonstrated that urban population concentration fosters energy efficiency. Japan's national land planning has stressed the importance of compact cities from both the economic and the environmental point of view.…”
Section: Introductionmentioning
confidence: 99%
“…The study expected that the compositional effect-expressing the degree by which the national energy demand from each energy user exceeds the rate of change of the national energy demand-would be low in the manufacturing industry, because energy demand changes mainly arise from efficiency efforts in this sector. The study also verifies that the agglomeration of industry enforces this effect (Otsuka et al [5], Otsuka and Goto [6]). The study results are fully consistent with these insights.…”
Section: Discussionmentioning
confidence: 90%
“…Globally, there is very little previous research on regional energy demands, because of a lack of relevant data. Bernstein et al [2] and Metcalf [3] targeted individual states in the USA, and Raupach-Sumiya et al [4], Otsuka et al [5], and Otsuka and Goto [6] investigated regions in Germany and Japan. However, each of these studies analyzed the factors determining the energy efficiency, rather than the dynamic changes in the regional energy demand.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, promoting electrification may increase the energy efficiency of the residential sector. Considering the nonlinear effect of population density, this study estimates Equation (4) in addition to Equation (3). If there is a threshold for the effect of population density, the regression coefficient of the quadratic term should be statistically significant.…”
Section: Estimation Model For Energy Efficiencymentioning
confidence: 99%