Dynamics and determinants of energy intensity in the service sector: A cross-country analysis, 1980–2005
By P. Mulder, H. D. Groot, B. Pfeiffer. 2014
128 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/137beb9836eaa0808196d0f60dde46baacf4c5fc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Puyang Sun
- Jules-Daniel Wurlod
- Tong Zhu
- Dan Du
- Robert J. R. Elliott
- Qizhi Tao
- Junbing Huang
- Joëlle Noailly
In Environmental Engineering
- Jules-Daniel Wurlod
- Tong Zhu
- Dan Du
- Robert J. R. Elliott
- Qizhi Tao
- Junbing Huang
- Joëlle Noailly
- Puyang Sun
In Renewable Energy, Sustainability and the Environment
- Jules-Daniel Wurlod
- Tong Zhu
- Dan Du
- Robert J. R. Elliott
- Qizhi Tao
- Junbing Huang
- Joëlle Noailly
- Puyang Sun
Citations in the corpus
- An analysis of technological factors and energy intensity in China (2017, methodology): “However, Mulder et al. (2014) use a dataset of 23 service sectors in 18 OECD countries over the period 1980–2005 but find a limited role for energy price in explaining variation in energy intensity, casting doubt on the effectiveness of the price instruments on the effectiveness to decrease energy…”
- The direct and indirect effect of urbanization on energy intensity: A province-level study for China (2017, background): “For the service sector in the OECD Mulder et al. (2014)[48] argue that structural changes had an increasingly important effect on aggregate energy intensity especially after 1995.”
- The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries (2018, background): “Some recent papers have circumvented the lack of specific measure of technology by using past energy prices as a proxy for biased technical change (Sue Wing, 2008; Mulder et al., 2014).”