Qingyuan Zhu

TL;DR: Wang et al. as discussed by the authors applied data envelopment analysis (DEA) to measure the energy and environment performance of transportation systems in China with the goal of sustainable development, treating transportation as a parallel system consisting of subsystems for passenger transportation and freight transportation, and extending a parallel DEA approach to evaluate the efficiency of each subsystem.

TL;DR: Wang et al. as discussed by the authors presented a conceptual model extended from the innovation value chain model to simultaneously estimate the R&D and commercialization efficiencies for the high-tech industries of 29 provincial-level regions in China.

TL;DR: An approach for analyzing the reuse of undesirable intermediate outputs in a two-stage production process with a shared resource is provided and a heuristic algorithm is suggested to transform the nonlinear model into a parametric linear one.

TL;DR: Wang et al. as mentioned in this paper proposed a DEA-based approach to allocate China's national CO2 emissions and energy intensity reduction targets over Chinese provincial industrial sectors, considering the necessity of mitigating GHG emission and energy consumption.

TL;DR: If the proposed algorithm terminates at its step 3, the evaluation results generated by the approach unify self-evaluated, peer-evaluation, and common-weight-evaluations in DEA cross-efficiency evaluation will be more likely to be accepted by all the DMUs.