Industry-level Total-factor Energy Efficiency in Developed Countries

By S. Honma, Jin-Li Hu. 2011

145 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/8f2ff708532c4e6929f5f95038d7503253402e2d

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

1. Shuai Shao
2. Shuang Ma
3. Zhenbing Yang
4. Lili Yang
5. Ya-Fang Sun
6. Yue‐Jun Zhang
7. Junling Huang
8. W. Cai

In Management Science and Operations Research

1. Yue‐Jun Zhang
2. Shuai Shao
3. Shuang Ma
4. Ya-Fang Sun
5. Junling Huang
6. C. Wang
7. Lili Yang
8. Zhenbing Yang

In Renewable Energy, Sustainability and the Environment

1. Zhenbing Yang
2. Shuai Shao
3. Lili Yang
4. Shuang Ma
5. Yue‐Jun Zhang
6. Yuan Yang
7. Ya-Fang Sun
8. Junling Huang

Citations in the corpus

• Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces (2014, background): “Honma and Hu [4] computed and compared the total-factor energy efficiency at the industry level for 14 developed countries from 1995 to 2005.”
• Can China’s Energy Intensity Constraint Policy Promote Total Factor Energy Efficiency? Evidence from the Industrial Sector (2019, methodology): “Therefore, TFEE is more widely used (Hu and Wang, 2006; Zhou and Ang, 2008; Zhang et al., 2011; Wang et al., 2012; Fang et al., 2013; Zou et al., 2013; Chang, 2013; Zhao et al., 2014; Honma and Hu, 2014; Makridou et al., 2015).”
• Determinants of energy efficiency and energy consumption of Eastern Europe post-communist economies (2017, background): “Additional factors that are used to estimate energy efficiency are energy input structure, substitution among energy, labour and capital, trade, government regulation and others.(10,20,35,37,38) A number of studies concluded that raising of traditional energy prices (such as gas, oil, coal, electric”
• Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment (2018, background): “Similarly, taking CERs and total factor carbon emission performance of host countries as the independent and dependent variables, respectively, we can obtain their results of panel quantile regression.”