本文關(guān)鍵詞：基于中立性交叉效率Malmquist指數(shù)的中國省際能源效率研究　出處：《湖南大學》2013年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 能源效率 中立性DEA 交叉效率 Malmquist指數(shù)

【摘要】：日益增長的能源消費需求與有限的資源的矛盾，以及能源消費帶來的一系列環(huán)境問題，讓我們不得不意識到能源問題的重要性。本文旨在通過對我國各省份能源效率進行合理測度和排名，了解各地區(qū)能源效率的實際水平，為提高我國能源效率提供合理的政策建議。 文章首先從傳統(tǒng)DEA模型出發(fā)，考慮環(huán)境污染產(chǎn)出，基于20012010年中國省際面板數(shù)據(jù)，通過引入不同的交叉效率評價方法構(gòu)建了中立性DEA交叉效率模型、考慮所有權(quán)重信息的區(qū)間交叉效率模型。其次，根據(jù)各種化石能源消費數(shù)量估算了各省份二氧化碳排放量，將其和二氧化硫排放量作為環(huán)境污染的產(chǎn)出指標納入能源效率模型，并對不同能源效率測度模型的結(jié)果進行了分析和比較。最后，文章構(gòu)建了基于傳統(tǒng)DEA模型和中立性DEA交叉效率模型的Malmquist指數(shù)模型，將能源效率Malmquist指數(shù)分解為技術(shù)效率指數(shù)和技術(shù)進步指數(shù)，以期對各省份能源效率的變動進行進一步分析。 研究結(jié)果表明：20012010年，我國能源效率大體呈上升趨勢，影響我國整體能源效率提高的主要因素是技術(shù)效率進步；我國各省份能源效率存在顯著差異，，大體呈東高西低的分布趨勢，東西部地區(qū)之間的能源效率差距較大，且差距有擴大的趨勢。西部地區(qū)省份能源整體效率提升速度較東部和中部地區(qū)快，但是具體分解為能源技術(shù)效率指數(shù)和技術(shù)進步指數(shù)后，東部地區(qū)的能源技術(shù)效率指數(shù)比中西部地區(qū)高，而西部地區(qū)的技術(shù)進步指數(shù)比東中部地區(qū)高，說明西部地區(qū)能源效率快速提升的原因是技術(shù)進步。
[Abstract]:The contradiction between the increasing demand for energy consumption and limited resources, as well as a series of environmental problems caused by energy consumption. Let us have to realize the importance of energy problems. This paper aims to understand the actual level of energy efficiency in various regions through the rational measurement and ranking of the energy efficiency of various provinces in China. To improve energy efficiency in China to provide reasonable policy recommendations. Firstly, based on the traditional DEA model, considering the environmental pollution output, the paper bases on the data of interprovincial panel in China from 2001 to 2010. The neutral DEA cross efficiency model is constructed by introducing different cross efficiency evaluation methods, and the interval cross efficiency model with all weight information is considered. Secondly. Based on the amount of fossil energy consumption, the carbon dioxide emissions of provinces are estimated, and the emissions of sulfur dioxide and carbon dioxide are included in the energy efficiency model as an output indicator of environmental pollution. The results of different energy efficiency measurement models are analyzed and compared. Finally, the Malmquist exponential model based on traditional DEA model and neutral DEA cross-efficiency model is constructed. The Malmquist index of energy efficiency is decomposed into technical efficiency index and technological progress index in order to further analyze the change of energy efficiency in each province. The results show that: in 2001 and 2010, the energy efficiency in China is on the rise, the main factor affecting the improvement of energy efficiency in China is the progress of technical efficiency; There are significant differences in energy efficiency among different provinces in China, generally showing the trend of low energy efficiency in the east and west, and the gap of energy efficiency between the eastern and western regions is large. The overall energy efficiency of the western provinces is faster than that of the eastern and central regions, but it is divided into the energy technology efficiency index and the technological progress index. The energy technology efficiency index of the eastern region is higher than that of the central and western regions, while the technological progress index of the western region is higher than that of the eastern and central region, which indicates that the reason for the rapid improvement of energy efficiency in the western region is technological progress.
【學位授予單位】：湖南大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：F224;F205;F426.2

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