本文選題：數(shù)據(jù)包絡(luò)分析　切入點(diǎn)：能源環(huán)境效率　出處：《華北電力大學(xué)》2017年碩士論文

【摘要】：第一次工業(yè)革開始到信息化時(shí)代到來(lái)的近兩個(gè)多世紀(jì)以來(lái),巨大的能源消耗所帶來(lái)的溫室氣體排放問(wèn)題日益嚴(yán)重,因此必須及時(shí)進(jìn)行針對(duì)能源浪費(fèi)、溫室效應(yīng)等現(xiàn)象的相關(guān)治理,尤其是針對(duì)溫室氣體的主要組成部分—二氧化碳的排放控制。同時(shí),中國(guó)作為世界上最大的發(fā)展中國(guó)家,同樣肩負(fù)著對(duì)合理減少溫室氣體的排放并控制溫室效應(yīng)的進(jìn)一步加劇的責(zé)任與義務(wù)。因此我們應(yīng)該選擇并應(yīng)用更為有效、全面的方法來(lái)優(yōu)化資源利用,改善環(huán)境狀態(tài),幫助地區(qū)政府或相關(guān)機(jī)構(gòu)提高能源利用效率、改善能源利用狀態(tài),及時(shí)調(diào)整能源管理政策方針,實(shí)施更為有效的節(jié)能低碳項(xiàng)目。本文首先根據(jù)當(dāng)前能源和環(huán)境背景、在針對(duì)各個(gè)地區(qū)自身能源環(huán)境情況分析基礎(chǔ)上,闡述了進(jìn)行省際能源環(huán)境效率評(píng)價(jià)的重要性。隨后闡述了論文的主要工作內(nèi)容及論文研究中的重難點(diǎn)。然后對(duì)數(shù)據(jù)包絡(luò)分析的起源、發(fā)展進(jìn)行了充分的掌握,介紹了相關(guān)概念,并對(duì)國(guó)際上針對(duì)能源效率、環(huán)境效率、碳排放效率等相關(guān)評(píng)價(jià)方法進(jìn)行文獻(xiàn)綜述。對(duì)能源環(huán)境效率的相關(guān)理論進(jìn)行了介紹。建立了科學(xué)的能源環(huán)境效率評(píng)價(jià)指標(biāo)體系。根據(jù)評(píng)價(jià)目標(biāo)確立及評(píng)價(jià)方法的選擇,建立起能夠?qū)崿F(xiàn)評(píng)價(jià)目標(biāo)、應(yīng)用評(píng)價(jià)方法的評(píng)價(jià)指標(biāo)體系。引入優(yōu)化模型,強(qiáng)調(diào)了優(yōu)化模型自身特點(diǎn),使得數(shù)據(jù)包絡(luò)模型對(duì)能源環(huán)境效率進(jìn)行分析得到了更廣泛的應(yīng)用。隨后進(jìn)入實(shí)證分析階段,選取北京、天津、河北等涉及華北、東北、華東、華南、西南、西北七個(gè)地區(qū)的30個(gè)省、自治區(qū)、直轄市作為研究對(duì)象,獲取相關(guān)數(shù)據(jù)進(jìn)行收集處理后代入選定模型,進(jìn)行能源環(huán)境效率計(jì)算,通過(guò)計(jì)算結(jié)果分析得出了各省市乃至各地區(qū)能源環(huán)境效率水平及自身狀態(tài)的優(yōu)化方向。最后得出相關(guān)的結(jié)論,中國(guó)南部(即華南地區(qū))具有整個(gè)國(guó)家范圍內(nèi)最高的能源環(huán)境效率水平。華北、華東和華中地區(qū)處于相似的水平,中國(guó)東北在所有地區(qū)中能源環(huán)境效率水平最低。西北地區(qū)能源環(huán)境效率值要略高于東北地區(qū)。價(jià)格因素對(duì)于中國(guó)各個(gè)地區(qū)的能源環(huán)境效率水平的影響是顯著存在的,尤其是在像河北、山西、上海等地區(qū)。同SBM模型相比,收入/成本模型下的能源環(huán)境效率值的變化率超過(guò)了整體能源環(huán)境效率值變化率的兩倍。華北和東北地區(qū)應(yīng)該更加努力的專注于能源環(huán)境效率的提高以及能源消耗量的減少,從能源環(huán)境效率提高源頭進(jìn)行具體行動(dòng),從而實(shí)現(xiàn)能源結(jié)構(gòu)優(yōu)化以及節(jié)能減排最終目的。而對(duì)于華東和華中地區(qū)來(lái)說(shuō),應(yīng)在能源轉(zhuǎn)化技術(shù)的改進(jìn)方面投入更多的精力,實(shí)現(xiàn)提高自身的能源環(huán)境效率水平目標(biāo)。非期望產(chǎn)出的減少應(yīng)該則更多地依靠山西、陜西等省份,需要在減少能源的大量消耗方面采取更多措施從而提高自身能源環(huán)境效率的具體值。針對(duì)上述污染氣體減排潛力突出的地區(qū)則應(yīng)加強(qiáng)政府監(jiān)管力度,進(jìn)一步改善政府和經(jīng)營(yíng)者能源環(huán)境理念,使其認(rèn)識(shí)到二氧化碳及污染氣體的危害以及節(jié)能減排的重要性。
[Abstract]:The first time since the industrial revolution began to nearly two centuries of information era, the huge energy consumption caused by greenhouse gas emissions is becoming increasingly serious, and therefore must be timely for the waste of energy, greenhouse effect and other phenomena related to governance, especially the emission control of major components on greenhouse gas carbon dioxide. At the same time. China as the world's largest developing country, also has the responsibility to reduce the responsibility and obligation to further exacerbate the greenhouse gas emissions and control the greenhouse effect. So we should choose and use more effective, comprehensive approach to optimize resource utilization, improve the environment, help local government or related organizations to improve energy efficiency, to improve the energy utilization status, timely adjustment of energy management policies, the implementation of more low-carbon energy projects effectively. This paper first according to the The current energy and environmental background, in the analysis for each region based on its energy environment, expounds the importance of evaluation of provincial energy environmental efficiency. Then expounds the important points of the main work and papers in the origin of data envelopment analysis. Then, the development of fully grasp, introduces the related concepts and, the International for energy efficiency, environmental efficiency, literature review related evaluation methods of carbon emission efficiency. The theories related to energy and environmental efficiency were introduced. The establishment of a scientific environment and energy efficiency evaluation index system. According to the evaluation target establishment and evaluation methods, set up to realize the goal of evaluation, evaluation the method of the evaluation index system. Using the optimization model, the optimization model emphasizes its own characteristics, the data envelopment analysis model of energy efficiency of environment Analysis is more widely used. Then entered the stage of empirical analysis, selected Beijing, Tianjin, Hebei to North China, northeast, East China, Southern China, southwest, northwest 30 provinces, seven areas of the autonomous region, or municipality directly under the central government as the research object, to obtain relevant data were collected and processed by the selected model, energy environmental efficiency calculation, through the calculation of the optimal direction of environmental efficiency level of energy in various provinces and cities and regions and their own state. Finally, draw relevant conclusions, South China (Southern China area) within the whole country has the highest energy efficiency level of environment. The North, East and central regions at similar levels, Chinese in all regions in Northeast energy environmental efficiency lowest. Northwest energy environmental efficiency value is slightly higher than the northeast. The price factor for the energy efficiency of the water environment in various regions of the China Flat effect is significant, especially in places like Hebei, Shanxi, Shanghai and other regions. Compared with the SBM model, the overall energy efficiency more than two times the value of environmental variation cost model under the energy and environmental efficiency value rate / income. North and northeast regions should make greater efforts to focus on energy and environmental efficiency the increase and decrease of energy consumption, the energy efficiency of environmental action from the source, so as to realize the optimization of energy structure and the ultimate goal of energy saving and emission reduction. And for the eastern and central regions, more effort should be devoted to the improvement of conversion technology in energy, improve the energy efficiency level of the target environment itself. Undesirableoutputs the reduction should depend mainly on Shanxi, Shaanxi and other provinces, to reduce energy consumption in a lot more measures to improve their energy efficiency environment In view of the above areas, the government's supervision should be strengthened to further improve the concept of energy and environment of the government and operators, so as to recognize the harm of carbon dioxide and pollution gases and the importance of energy saving and emission reduction.

【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：X24;F426.2;F224

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 江洪;趙寶福;;碳排放約束下中國(guó)區(qū)域能源效率測(cè)度與解構(gòu)——基于三階段DEA方法[J];價(jià)格理論與實(shí)踐;2015年01期

2 王維國(guó);范丹;;基于三階段DEA模型的中國(guó)省際全要素能源效率研究[J];數(shù)學(xué)的實(shí)踐與認(rèn)識(shí);2012年24期

3 周五七;聶鳴;;中國(guó)工業(yè)碳排放效率的區(qū)域差異研究——基于非參數(shù)前沿的實(shí)證分析[J];數(shù)量經(jīng)濟(jì)技術(shù)經(jīng)濟(jì)研究;2012年09期

4 仲云云;仲偉周;;中國(guó)區(qū)域全要素碳排放績(jī)效及影響因素研究[J];商業(yè)經(jīng)濟(jì)與管理;2012年01期

5 李濤;傅強(qiáng);;中國(guó)省際碳排放效率研究[J];統(tǒng)計(jì)研究;2011年07期

6 孫敬水;陳稚蕊;李志堅(jiān);;中國(guó)發(fā)展低碳經(jīng)濟(jì)的影響因素研究——基于擴(kuò)展的STIRPAT模型分析[J];審計(jì)與經(jīng)濟(jì)研究;2011年04期

7 朱承亮;岳宏志;師萍;;環(huán)境約束下的中國(guó)經(jīng)濟(jì)增長(zhǎng)效率研究[J];數(shù)量經(jīng)濟(jì)技術(shù)經(jīng)濟(jì)研究;2011年05期

8 高彩玲;高歌;田采霞;;河南省能源消費(fèi)碳排放的因素分解及減排途徑[J];中國(guó)礦業(yè);2011年03期

9 張晶;王麗萍;;基于工業(yè)能源利用效率的低碳經(jīng)濟(jì)實(shí)證研究[J];科技進(jìn)步與對(duì)策;2010年22期

10 游和遠(yuǎn);吳次芳;;土地利用的碳排放效率及其低碳優(yōu)化——基于能源消耗的視角[J];自然資源學(xué)報(bào);2010年11期

相關(guān)會(huì)議論文 前1條

1 趙志耘;楊朝峰;;基于超效率DEA方法的研發(fā)效率研究[A];信息資源配置理論與模型研究——2009信息化與信息資源管理學(xué)術(shù)研討會(huì)專集[C];2009年

相關(guān)碩士學(xué)位論文 前1條

1 蘇文力;基于SBM模型的我國(guó)省際能源環(huán)境效率研究[D];湖南大學(xué);2015年

，

本文編號(hào)：1667823