2016
DOI: 10.1016/j.soscij.2015.10.002
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Computational analysis of thermoelectric enterprises’ environmental efficiency and Bayesian estimation of influence factors

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Cited by 43 publications
(9 citation statements)
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“…Hu and Liu [106] utilized slacks-based-DEA in the construction industry. Song and Zheng [107] applied an SBM DEA model for evaluating the efficiency in thermoelectric enterprises. Guo et al [108] employed an SBM-DEA model to evaluate natural resource allocation in the 26 provincial regions of China.…”
Section: Distribution Of Articles Based On Dea Models and Applicationmentioning
confidence: 99%
“…Hu and Liu [106] utilized slacks-based-DEA in the construction industry. Song and Zheng [107] applied an SBM DEA model for evaluating the efficiency in thermoelectric enterprises. Guo et al [108] employed an SBM-DEA model to evaluate natural resource allocation in the 26 provincial regions of China.…”
Section: Distribution Of Articles Based On Dea Models and Applicationmentioning
confidence: 99%
“…However, in the non-linear time-varying factor model, this assumption is relaxed, allowing flexibility in individual idiosyncratic behavior over time and across sections through a time-varying factor δ it to reflect this heterogeneity, as shown in Equation (2).…”
Section: Theoretical Model Of Pollution Convergencementioning
confidence: 99%
“…Extensive economic development mode in China created an intensive outbreak of environmental problems within 30 years that took 100 years of industrialization in developed countries. Given this, many researchers in the environmental and economic field have turned their attention to this area, such as research on energy efficiency [1] and environmental impact [2], or the correlation between environmental [3] and economic development [4].…”
Section: Introductionmentioning
confidence: 99%
“…TEC is the ratio that measures the cross-period change of the distance between actual productivity levels with respect to the maximum productivity level. In other words, it is the measurement of the factor intensity of production efficiency [30]. A value greater than 1 means that the output level is close to the potential output level of the group, or an improvement in production efficiency.…”
Section: )mentioning
confidence: 99%