Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China
By Tzu-Pu Chang, Jin-Li Hu. 2010
291 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/665c67e6e9ac9a4ed7071a96bbb8cf410c74a8e9
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Citations in the corpus
- Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach (2013, background): “…to compare efficiencies of energy or energy with carbon emissions for different regions (or countries), or to monitor the efficiency trends for regions or countries, e.g., Zhou et al. (2006), (2010), Chang and Hu (2010), Li (2010), Liou and Wu (2011), Zhang et al. (2011) and Wang et al. (2012).”
- Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach (2012, methodology): “, 2006), has recently been used by Chang and Hu (2010) to measure total-factor energy productivity.”
- Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis (2013, methodology): “(7) can measure how energy 10 Chang and Hu (2010) recently developed a total-factor energy productivity index in additive form with directional distance function.”
- Measuring economy-wide energy efficiency performance: A parametric frontier approach (2012, background): “[8], Zhou and Ang [9], Mukherjee [10] and Chang and Hu [11].”
- Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure (2012, background): “For instance, Hu and Wang [19] and Chang and Hu [20] use DEA to estimate regional energy efficiency for China.”
- Regional total factor energy efficiency: An empirical analysis of industrial sector in China (2012, background): “Chang and Hu (2010) [26] have researched the regional data from 2000 to 2004, evaluating energy productivity change of provinces in China with total-factor framework.”
- A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries (2016, background): “Chang and Hu [9] Chinese provinces Energy productivity growth Nonradial Nonorientation CCR þ DDF ML index”