2012
DOI: 10.1007/s10479-012-1094-5
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Chinese regional energy efficiency change and its determinants analysis: Malmquist index and Tobit model

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Cited by 47 publications
(19 citation statements)
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“…In the energy analysis, this technique has been applied e.g. Zhou et al [88] that presented a Malmquist CO 2 emission performance index for measuring changes in total factor carbon emission performance over time and Lv et al [51] analysed total factor energy efficiency for 30 Chinese provinces. The method was originally proposed by Caves et al [10]; and was further established by Fare et al [26] to measure for technological and efficiency changes.…”
Section: Energy Efficiency and Co 2 Emissionsmentioning
confidence: 99%
“…In the energy analysis, this technique has been applied e.g. Zhou et al [88] that presented a Malmquist CO 2 emission performance index for measuring changes in total factor carbon emission performance over time and Lv et al [51] analysed total factor energy efficiency for 30 Chinese provinces. The method was originally proposed by Caves et al [10]; and was further established by Fare et al [26] to measure for technological and efficiency changes.…”
Section: Energy Efficiency and Co 2 Emissionsmentioning
confidence: 99%
“…The existing approaches in energy efficiency evaluation can be generally classified into four groups. The first attempts to minimize energy consumption in the process of efficiency evaluation while keeping non-energy inputs and desirable outputs constant Zhang et al 2011;Lv et al 2015). Unfortunately, this approach measures energy efficiency without taking undesirable outputs such as CO 2 emissions into consideration.…”
Section: Introductionmentioning
confidence: 99%
“…Following the existing literature (Rasche and Tatom, 1977;Halkos and Tzeremes, 2009;Lv et al, 2012;Song et al, 2014), we uses labor force, capital stock and energy consumption as input variables, GDP serves as the desirable output, Carbon dioxide emissions and Sulfur dioxide emissions are as the undesirable outputs. More details are shown in Table 1.…”
Section: Data and Environmental Efficiencymentioning
confidence: 99%