Global warming and the energy efficiency of Spanish industry

Feijóo, María Luisa; Franco, Juan Felipe; Hernández, J. M.

doi:10.1016/s0140-9883(02)00013-0

Cited by 41 publications

(10 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, (Adetutu, Glass et al 2016) apply SFA to OECD level data to estimate rebound effects. (Aranda-Usón, Ferreira et al 2012) and (Feijoó, Franco et al 2002) apply SFA to energy use in the Spanish manufacturing sector. (Lin and Long 2015) analyze the chemical sector in China using provincial level data.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis

Boyd

Lee

2019

Energy Economics

View full text Add to dashboard Cite

The research program of the Center for Economic Studies (CES) produces a wide range of economic analyses to improve the statistical programs of the U.S. Census Bureau. Many of these analyses take the form of CES research papers. The papers have not undergone the review accorded Census Bureau publications and no endorsement should be inferred. Any opinions and conclusions expressed herein are those of the author(s) and do not necessarily represent the views of the U.S. Census Bureau. All results have been reviewed to ensure that no confidential information is disclosed. Republication in whole or part must be cleared with the authors. To obtain information about the series, see www.census.gov/ces or contact J.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis

Boyd

Lee

2019

Energy Economics

View full text Add to dashboard Cite

show abstract

“…For example, Feijoo et al [10] measured the energy efficiency of industries in Spain and concluded that energy policy and regulation reduced CO 2 emissions. Buck and Young [11] gauged the energy efficiency of commercial buildings in Canada and established that such commercial buildings are highly energy efficient and that building ownership and economic activities are the main determinants of energy efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of efficiency in residential electricity demand: stochastic frontier analysis on Japan

Otsuka

2017

Energ Sustain Soc

View full text Add to dashboard Cite

Background: Rapidly increasing residential electricity demand has made raising energy efficiency an important policy issue in controlling electricity demand. Methods: This study uses a stochastic frontier model to estimate the residential electricity demand function and analyse electricity energy efficiency levels and their determinants using regional data on Japan. Results: The results confirm the importance of household dwelling types for determining the electricity energy efficiency. Specifically, the findings suggest that household size and floor area are key to electricity savings, but the ageing Japanese society shows a limited relationship with electricity savings. Further, promoting living in areas where the population has aggregated also results in electricity savings. Conclusions: The findings suggest that forming urbanised cities and realising multi-polarisation-type national spatial developments might improve electricity energy efficiency and stimulate regional economies.

show abstract

“…For example, Feijoo et al. () measured the energy efficiency of industries in Spain, and concluded that the energy policy and regulation reduced CO2 emissions. Buck and Young () measured the energy efficiency of commercial buildings in Canada.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimation and determinants of energy efficiency in Japanese regional economies

Otsuka

Goto

2015

Regional Science Policy & Practice

View full text Add to dashboard Cite

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 the stochastic frontier model) is found to be effective, as its ranking is highly correlated with that of energy intensity. Second, increasing population density is effective in improving energy efficiency. Third, improving regional accessibility by developing a highway network helps to improve the energy efficiency in Japan. Fourth, the level of energy efficiency is deteriorating in areas where raw material industries are clustered. These results indicate that the means to increasing both economic productivity and environmental efficiency are to implement a regional decentralization policy by creating major urban areas across the nation and expand a wide-area transportation network to link these areas. In addition, the promotion of technological innovations through appropriate environmental regulations is important to advance such regional policies.JEL classification: Q40, Q50, R10

show abstract

Global warming and the energy efficiency of Spanish industry

Cited by 41 publications

References 14 publications

Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis

Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis

Determinants of efficiency in residential electricity demand: stochastic frontier analysis on Japan

Estimation and determinants of energy efficiency in Japanese regional economies

Contact Info

Product

Resources

About