China's regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation

By Ke Wang, Shiwei Yu. Mathematical and computer modelling, 2013

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Does regional economic integration promote urban land use efficiency? Evidence from the Yangtze River Delta, China (2021, methodology): “In order to yield the best balance of informativity and stability of measurement, a narrow window with the width of three (w = 3) was chosen, according to the practices of Wang et al. (2013), Wu et al. (2020) and Zhou et al. (2020).”
A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries (2014, background): “The second category comprises studies that calculate a composite efficiency index which is the aggregated sum of energy and environmental efficiency indices [35,3,36].”
An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China (2012, methodology): “[33], in which the data on CO2 emissions are estimated from the amounts of fossil energy consumption following the Liu et al.”
A fuzzy analytic hierarchy process (AHP)/data envelopment analysis (DEA) hybrid model for efficiently allocating energy R&D resources: In the case of energy technologies against high oil prices (2013, background): “The DEA is generally applied not only to assess the service productivity of banks [19], insurance companies [20], hospitals [21], universities [22] and restaurants, but also to evaluate the efficiency of R&D programs [23,25], to implement energy policy [26], assessment of sustainable energy consumpt”