2017
DOI: 10.3390/su9081384
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China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach

Abstract: Under the concept of metafrontier, technology gap ratio is alternatively interpreted as potential energy efficiency. Combined with Malmquist index framework and Shephard energy distance function, we then develop a metafrontier Malmquist energy productivity index to analyze the total-factor energy productivity growth with four specific components: groupfrontier efficiency change index, groupfrontier technological change index, efficiency catch-up index and technological catch-up index. Methodologically, a newly… Show more

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Cited by 18 publications
(7 citation statements)
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“…According to the empirical results of Shanghai and Fujian, the increase in ECI leads to an increase in the industrial TCP. Considering the bias of energy intensity indicators, the reduction of regional energy efficiency does not mean the decrease of industrial TCP (Cao et al, 2017).…”
Section: Regional Differences In the Impact Of Eci On Tcpmentioning
confidence: 99%
“…According to the empirical results of Shanghai and Fujian, the increase in ECI leads to an increase in the industrial TCP. Considering the bias of energy intensity indicators, the reduction of regional energy efficiency does not mean the decrease of industrial TCP (Cao et al, 2017).…”
Section: Regional Differences In the Impact Of Eci On Tcpmentioning
confidence: 99%
“…As we employed the technological frontier distance (technology gap) as a proxy for AC following Girma (2005), another suggestion for a future study would be the calculation of TFP using nonparametric frameworks such as the Malmquist index (Cao et al., 2017; L. H. Chen et al., 2016; Q. Fu & Ji, 2017; Mu et al., 2017).…”
Section: Final Considerationsmentioning
confidence: 99%
“…TFP can be calculated using the Malmquist Index (MI). Several papers have employed the Malmquist Index as a proxy for TFP, such as Cao et al (2017), Mu et al (2017), Fu & Ji (2017) and Chen et al (2016).…”
Section: Productivity and Fdimentioning
confidence: 99%
“…In order to calculate IM, two inputs (Average income of workers and capital assets) and one output (municipal GDP) will be used, with orientation to the output CRS (Constant Returns to Scale), since it is possible to establish proportionality between inputs and outputs, that is, to increase GDP with the increase of Income and Capital (Cao et al, 2017;Mu et al, 2017;Fu & Ji, 2017;Chen et al, 2016).…”
Section: Number Of Workers With Higher Educationmentioning
confidence: 99%