Scale efficiency of China's regional R & D value chain: A double frontier network DEA approach

Data envelopment analysis (DEA) is one of the vastly available literature on efficiency analysis. In general, decision making units (DMUs) can be measured from two perspectives, optimistic and pessimistic. Two different perspectives lead to conflicting biased scale measurements. To deal with problem, in this paper, we introduce a double frontier approach integrate both pessimistic efficiencies' viewpoints single term, which will more realistic has benchmarking preferences. We first investigate concept perspective black-box DEA then extend it two-stage framework. Mathematical proved that system could decomposed into internal stages' efficiencies. Finally, elaborate applicability merits proposed using case China's regional R & D value chain terms its profitability marketability.