2019
DOI: 10.3390/ijerph16214225
|View full text |Cite
|
Sign up to set email alerts
|

Energy and Health Efficiencies in China with the Inclusion of Technological Innovation

Abstract: The price people pay for low energy efficiency includes not only high manufacturing costs, but also public health. With technological innovation as the driving factor for improving energy efficiency, this study uses two-stage dynamic undesirable data envelopment analysis (TDU-DEA) under variable return to scale to evaluate energy and health efficiencies with inclusion of technological innovation in 30 provinces of China over the period 2013–2016. The results show that the mean overall efficiencies and ranks in… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2025
2025

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 47 publications
0
1
0
Order By: Relevance
“…Feng et al 46 selected labor, fixed assets, renewable energy and non-renewable energy as input variables, and GDP as output. Wang et al 47 took labor, energy consumption and stock of energy conservation knowledge as input items and GDP as output items. The energy effect on air pollutant emissions was selected as the first stage, while the effect of pollutant emissions on respiratory system health as the second stage.…”
Section: Modified Two-stage Ebm Dea Modelmentioning
confidence: 99%
“…Feng et al 46 selected labor, fixed assets, renewable energy and non-renewable energy as input variables, and GDP as output. Wang et al 47 took labor, energy consumption and stock of energy conservation knowledge as input items and GDP as output items. The energy effect on air pollutant emissions was selected as the first stage, while the effect of pollutant emissions on respiratory system health as the second stage.…”
Section: Modified Two-stage Ebm Dea Modelmentioning
confidence: 99%