Technology gap and China's regional energy efficiency: A parametric metafrontier approach

By Boqiang Lin, Kerui Du. 2013

245 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/44d12fe9967717a877c9c7b0b83b027c4ad2644d

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. Boqiang Lin
2. Xiaoling Ouyang
3. Chuanwang Sun
4. Ke Li
5. Kerui Du
6. Limin Du
7. D. Broadstock
8. Aoife Hanley

In Environmental Engineering

1. Boqiang Lin
2. Xiaoling Ouyang
3. Kerui Du
4. Chuanwang Sun
5. Ke Li
6. Chunping Xie
7. Limin Du
8. Aoife Hanley

In Management Science and Operations Research

1. Boqiang Lin
2. Limin Du
3. Aoife Hanley
4. Ke Li
5. Xiaoling Ouyang
6. Kerui Du
7. Chuanwang Sun
8. Ning Zhang

Citations in the corpus

• Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis (2016, methodology): “…(Lee and Zhang, 2012), and container glass industry (Boyd et al., 2002), etc. 3 The method of meta-frontier analysis has been widely used in other fields, such as Lin and Du (2013) on energy efficiency, Chen and Song (2008) on agriculture, Moreira and Bravo-Ureta (2010) on dairy farms, etc.”
• Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China (2015, result): “This is consistent with the fact that the fast development of energy-intensive industries and increase in CO2 emissions ismainly induced by the rapid upgrade of the consumption structure for eastern China during this period (Lin and Du, 2013).”
• The role of environmental technology for energy demand and energy efficiency: Evidence from OECD countries (2022, background): “Such a narrative is in line with the studies of Lin and Du, (2013); Li and Just (2018), who focused on China and California, respectively.”
• Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency (2015, methodology): “Based on the definition of the Shephard Distance Function proposed by Zhou et al. (2012), Lin and Du (2013) conducted an empirical research concerning the impact of factor market distortion on energy efficiency.”
• A comparison of carbon dioxide (CO2) emission trends among provinces in China (2017, background): “For example, indicators such as per capita GDP, carbon 12 emission intensity and energy efficiency differ greatly across regions in China ([8]), 13 and the differences are most prominent between the developed regions in eastern area 14 and the less developed regions in western area of China.”
• Efficiency Snakes and Energy Ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households (2016, methodology): “Examples of metafrontiers applied to energy efficiency include for example Chen and Song (2008), Lin and Du (2013) and Wang et al. (2013) among others.”