發(fā)布時(shí)間：2018-01-04 08:28

  本文關(guān)鍵詞：基于中立性交叉效率Malmquist指數(shù)的中國(guó)省際能源效率研究　出處：《湖南大學(xué)》2013年碩士論文　論文類型：學(xué)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(zhǎng)的能源消費(fèi)需求與有限的資源的矛盾，以及能源消費(fèi)帶來(lái)的一系列環(huán)境問(wèn)題，讓我們不得不意識(shí)到能源問(wèn)題的重要性。本文旨在通過(guò)對(duì)我國(guó)各省份能源效率進(jìn)行合理測(cè)度和排名，了解各地區(qū)能源效率的實(shí)際水平，為提高我國(guó)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(guó)省際面板數(shù)據(jù)，通過(guò)引入不同的交叉效率評(píng)價(jià)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(fèi)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(biāo)納入能源效率模型，并對(duì)不同能源效率測(cè)度模型的結(jié)果進(jìn)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(jìn)步指數(shù)，以期對(duì)各省份能源效率的變動(dòng)進(jìn)行進(jìn)一步分析。 研究結(jié)果表明：20012010年，我國(guó)能源效率大體呈上升趨勢(shì)，影響我國(guó)整體能源效率提高的主要因素是技術(shù)效率進(jìn)步；我國(guó)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(shì)，東西部地區(qū)之間的能源效率差距較大，且差距有擴(kuò)大的趨勢(shì)。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(jìn)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(jìn)步指數(shù)比東中部地區(qū)高，說(shuō)明西部地區(qū)能源效率快速提升的原因是技術(shù)進(jìn)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(xué)位授予單位】：湖南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F224;F205;F426.2

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王慶一;中國(guó)的能源效率及國(guó)際比較(上)[J];節(jié)能與環(huán)保;2003年08期

2 王金祥;;基于超效率DEA模型的交叉效率評(píng)價(jià)方法[J];系統(tǒng)工程;2009年06期

3 袁曉玲;張寶山;楊萬(wàn)平;;基于環(huán)境污染的中國(guó)全要素能源效率研究[J];中國(guó)工業(yè)經(jīng)濟(jì);2009年02期

4 楊紅亮;史丹;肖潔;;自然環(huán)境因素對(duì)能源效率的影響——中國(guó)各地區(qū)的理論節(jié)能潛力和實(shí)際節(jié)能潛力分析[J];中國(guó)工業(yè)經(jīng)濟(jì);2009年04期

5 史丹;吳利學(xué);傅曉霞;吳濱;;中國(guó)能源效率地區(qū)差異及其成因研究——基于隨機(jī)前沿生產(chǎn)函數(shù)的方差分解[J];管理世界;2008年02期

6 武春友;吳琦;;基于超效率DEA的能源效率評(píng)價(jià)模型研究[J];管理學(xué)報(bào);2009年11期

7 汪克亮;楊寶臣;楊力;;基于DEA和方向性距離函數(shù)的中國(guó)省際能源效率測(cè)度[J];管理學(xué)報(bào);2011年03期

8 蔡曉春;葉發(fā)強(qiáng);李超;;基于DDF模型的能源效率與環(huán)境管制成本分析[J];湖南大學(xué)學(xué)報(bào)(自然科學(xué)版);2012年05期

9 袁劍波;吳立輝;魏思;;中立性DEA交叉效率評(píng)價(jià)方法[J];長(zhǎng)沙理工大學(xué)學(xué)報(bào)(自然科學(xué)版);2011年04期

10 汪克亮;楊寶臣;楊力;;考慮環(huán)境效應(yīng)的中國(guó)省際全要素能源效率研究[J];管理科學(xué);2010年06期

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