A Study On Related Decision Analysis Of An Organization Based On Energy And Environmental Efficiency

Energy is an important material basis on which human’s survival and development depends. Since the BRICs-Brazil, Russia, India and China-are at the stage of economic takeoff recently, the energy consumption has been experienced a new peak. On the one hand, as non-renewable and rare resource, the fossil energy for especially, is increasingly drying up after almost two centuries’rampant consumption. On the other hand, the world’s energy efficiency is facing the situation of unbalance development due to the limitation of energy consumption technology.Except for the consequence of exhausted resources, excessive energy consumption brings several environmental issues which threaten the human’s sustainable development, such as greenhouse gases emission, sea level rises, climatic change etc. Therefore, proposed by the United Nations, the major countries in the world have established the UN Framework Convention on Climate Change (UNFCCC). The core content of the UNFCCC is the carbon emission cap-and-trade scheme, through which the countries have reached an agreement on cutting the carbon emissions.The fact urges scientists to investigate on the energy and environmental issues more systematically and detailed. Based on the theory of Data Envelopment Analysis (DEA), this paper studies some problems of energy efficiency evaluation and operation management of an organization involving energy and environmental issues.Chapter1firstly uses many data and charts to introduce the relationship among energy consumption, the economic development and the environmental issues. Secondly, it summarizes the fundamental theory of DEA, which includes the main principles for efficiency evaluation, the classic models, and several extensions on theory and applications. Thirdly, this chapter makes a literature review on the research of energy efficiency evaluation and carbon emission rights. Based on the literature review, finally, the research problems and methods of this dissertation are put forward.Chapter2aims at performance evaluation of organizations or sub-organizations, reviews the current researches on the evaluation of energy utilization degree, proposes a DEA-based model of total-factor energy efficiency which integrates the coefficient of energy consumption structure, return-to-scale status of organization and non-energy inputs, and adopts Malmquist production index to analyze the dynamic change in energy efficiency which can provide guidance to managers and manufacturers to improve energy utilization. As examples, the current chapter tries to compare the total factor energy efficiencies of48countries all over the world in2003and investigate the dynamic change in total factor energy efficiencies of provinces of China over the period of2000-2003by the proposed models.Chapter3pays attention to efficiency rating and ranking. Based on the literature review, this chapter proposes two kinds of DEA-related ranking approaches. One is a ranking technique based on a common-weight DEA models, the other is considering both the best and worst practice frontiers at the same scenario. In the first model each DMU’s efficiency score is decomposed into two parts:one is the technical efficiency, and the other is the acceptance degree of its preference structure. In the second model, each DMU’s efficiency score is obtained by integrating efficiencies on different production frontiers. A numeral example is given to demonstrate our approaches.Chapter4proposes a multi-stage production planning for manufacturers with pollution emission. In each stage the manufacturer needs to meet the demand of market and the pollution emission cannot exceed the quota limit when the project is over. Two planning ideas have been proposed in the chapter. One is optimizing the profit under the assumption that the prices of the inputs and outputs are definite. The other is minimizing the total pollution emissions if the prices are not certain. In the end of this chapter, a simple numerical example is used to illustrate these approaches.Chapter5works on designing a mechanism through which the centralized decision maker distributes the pollution emission quota to each branches. Firstly, the property of pollution as an output is analyzed and defined as weak disposability undesirable output. Then a DEA-based programming is proposed to study the impact of different quota allocation schemes on the level of output and total pollution emissions. The advantage of this model is not only to integrate the preferences of decision maker, but also improve the technical level of the decision making unit in the organization. Finally, as an example, the chapter discusses about the paper industry along the Huai River.Chapter6summarizes all the work of this paper and gives some useful directions for future researches. The value of this paper includes:(1) proposing a total-factor energy efficiency evaluation model;(2) extending the DEA-based ranking method creatively;(3) designing the production planning method for manufacturers and the allocation scheme for centralized managers under the fixed cap system of carbon emission;(4) demonstration analysis for the study on energy and environment issues.