Showing papers by "Liang Liang published in 2016"
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.
Abstract: Because of China’s rapid economic development, its transportation system has become one of China’s high-energy-consumption and high-pollution-emission sectors. However, little research has been done which pays close attention to China’s transportation system, especially in terms of energy and environmental efficiency evaluation. In this paper, data envelopment analysis (DEA) is applied to measure the energy and environment performance of transportation systems in China with the goal of sustainable development. This paper treats transportation as a parallel system consisting of subsystems for passenger transportation and freight transportation, and extends a parallel DEA approach to evaluate the efficiency of each subsystem. An efficiency decomposition procedure is proposed to obtain the highest achievable subsystem efficiency. Our empirical study on 30 of mainland China’s provincial-level regions shows that most of them have a low efficiency in their transportation system and the two parallel subsystems. There are large efficiency differences between the passenger and freight transportation subsystems. In addition, unbalanced development has occurred in the three large areas of China, with the east having the highest efficiency, followed by central China and then west. Therefore, more measures should be taken to balance and coordinate the development between the three large areas and between the two subsystems within them. Our analysis approach gives data for determining effective measures.
168 citations
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.
119 citations
TL;DR: This paper develops both envelopment-based and multiplier-based models to obtain simultaneously both the frontier projection and the efficiency decomposition of two-stage processes and proves that the system inefficiency is equivalent to the sum of inefficiencies of the two stages.
47 citations
TL;DR: In this article, the authors proposed a new method to accurately assess the production, using each enterprise's previously observed production to construct its own production technology plan, and showed how each enterprise can determine the optimal amount of emission allowance that should be used for production.
Abstract: Rapid economic growth has led to increasing pollution emission, leading governments to require emission reductions by specific amounts. The allocation of specific emission reduction tasks has become a significant issue and has drawn the attention of academia. Data envelopment analysis (DEA) has been extended to construct the allocation of emission reduction tasks model. These previous DEA-based approaches have strong assumptions about individual enterprise production. In this paper, we propose a new method to accurately assess the production, using each enterprise’s previously observed production to construct its own production technology plan. With emission permits decreased, the enterprise can have new production strategy based on its own technology. Assuming emission permits can be freely bought and sold, we show how each enterprise can determine the optimal amount of emission allowance that should be used for production, which may leave some allowance to be sold for extra profit or may require the pur...
33 citations
TL;DR: A common-weight evaluation approach, which contains a max–min model and two algorithms, is proposed based on the satisfaction degrees of the decision-making units (DMUs), which makes the evaluation results more satisfied and acceptable by all the DMUs.
Abstract: The traditional data envelopment analysis model allows the decision-making units (DMUs) to evaluate their maximum efficiency values using their most favourable weights. This kind of evaluation with...
31 citations
TL;DR: In this paper, a cross-evaluation with uncertain parameters is proposed to solve the multiple attribute decision making problem, where all attribute weights are uncertain and the proposed approach can overcome the drawback in prior research that the alternatives' ranking may be determined by a single attribute with an overestimated weight.
Abstract: Multiple attribute decision making (MADM) problem is one of the most common and popular research fields in the theory of decision science. A variety of methods have been proposed to deal with such problems. Nevertheless, many of them assumed that attribute weights are determined by different types of additional preference information which will result in subjective decision making. In order to solve such problems, in this paper, we propose a novel MADM approach based on cross-evaluation with uncertain parameters. Specifically, the proposed approach assumes that all attribute weights are uncertain. It can overcome the drawback in prior research that the alternatives’ ranking may be determined by a single attribute with an overestimated weight. In addition, the proposed method can also balance the mean and deviation of each alternative’s cross-evaluation score to guarantee the stability of evaluation. Then, this method is extended to a more generalized situation where the attribute values are also uncertain. Finally, we illustrate the applicability of the proposed method by revisiting two reported studies and by a case study on the selection of community service companies in the city of Hefei in China.
25 citations