Data envelopment analysis: Prior to choosing a model

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Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings (2016, background): “For the appropriate choice of inputs and outputs, see Cook et al. (2014).”
Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA (2015, neutral): “[17] for other important issues in DEA).”
Performance evaluation through DEA benchmarking adjusted to goals (2018, background): “e of decision making units (DMUs) from a perspective of benchmarking, through setting targets on the efficient frontier of a production possibility set (PPS). We highlight the fact that, as stated in Cook et al. (2014), In the circumstance of benchmarking, the efficient DMUs, as defined by DEA, may ”
Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach (2020, background): “The complexity of the model specification phase partially explains the lack of enough guidance in the literature at this respect, [5, 12], and most of the effort goes into the analysis and interpretation of a given DEA model.”