Measuring environmental efficiency of industry: a case study of thermal power generation in India

By M. N. Murty, Santosh Kumar, K. Dhavala. 2007

149 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/468b74d874683ba8b1f34edbdb877f62e4b37965

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. Limin Du
2. Aoife Hanley
3. Chu Wei
4. Shuai Shao
5. Shuang Ma
6. Zhenbing Yang
7. Lili Yang
8. Ning Zhang

In Renewable Energy, Sustainability and the Environment

1. Zhenbing Yang
2. Shuai Shao
3. Limin Du
4. Lili Yang
5. Aoife Hanley
6. Shuang Ma
7. Ali Emrouznejad
8. Ning Zhang

Citations in the corpus

• An empirical analysis of the CO2 shadow price in Chinese thermal power enterprises (2013, background): “Some recent studies have utilized the directional distance function in quadratic form to measure atmospheric pollutants' marginal abatement cost (Färe et al., 2005; Marklund and Samakovlis, 2007; Murty et al., 2007).”
• A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries (2016, background): “, Environmental productivity of Chinese provinces [36], Productivity growth in OECD countries [62], environmental efficiency industry [35], energy efficiency of Indian manufacturing [34], Korean electric power industry [28], European commercial transport industry [27], electric power sector in Japan”
• Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis (2016, methodology): “…distance function method is widely used to estimate the environmental efficiency and the marginal abatement cost for power plants.2 Examples include Murty et al. (2007) for India, Färe et al. (2005), Lee (2005), Sueyoshi et al. (2010), Sueyoshi and Goto (2013a, 2013b) for the US, Yang and Pollitt…”
• Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis (2015, methodology): “(2012), Zhang and Choi (2014) and Zhou et al. (2008). 5 Recently, increased efforts have been put into improving carbon performance modeling and shadow price estimation techniques.”
• Can China’s Energy Intensity Constraint Policy Promote Total Factor Energy Efficiency? Evidence from the Industrial Sector (2019, methodology): “Meanwhile, a number of studies have adopted the SFA method to measure TFEE (growth) (e.g., Murty and Kumar, 2002; Murty et al., 2006; Vaninsky, 2010; Yang et al., 2011; Azadeh et al., 2011; Herrala and Goel, 2012; Zhou et al., 2012; Chen and Paulino, 2013; Wang et al., 2013; Llorca et al., 2017).”