發(fā)布時(shí)間：2018-06-28 01:59

  本文選題：電信運(yùn)營(yíng)企業(yè) + 節(jié)能定量指標(biāo)��； 參考：《北京郵電大學(xué)》2013年碩士論文

【摘要】：伴隨著經(jīng)濟(jì)發(fā)展和國(guó)際能源價(jià)格提高,能源問(wèn)題已成為世界各國(guó)的主要議題。我國(guó)是世界上最大的發(fā)展中國(guó)家,同時(shí)是繼美國(guó)之后的第二大能源消耗國(guó)。為此,國(guó)家將節(jié)能減排作為轉(zhuǎn)變發(fā)展方式、推動(dòng)科學(xué)發(fā)展的重要抓手,提出“十一五”單位GDP能耗降低20%左右的目標(biāo)。同時(shí),國(guó)資委將三家電信運(yùn)營(yíng)企業(yè)的類別由“一般類”調(diào)整為“關(guān)注類”,定量考核企業(yè)能耗指標(biāo)。 針對(duì)電信運(yùn)營(yíng)企業(yè),能源效率的影響因素有哪些?如何度量各因素的貢獻(xiàn)度?如何根據(jù)這些影響因素將全集團(tuán)的節(jié)能定量指標(biāo)分解到各個(gè)分公司?本文以指數(shù)分解分析理論為基本框架,進(jìn)行節(jié)能減排指標(biāo)的三個(gè)層次的分解,定量研究影響電信運(yùn)營(yíng)企業(yè)能源消耗的相關(guān)因素,并以這些影響因素為依據(jù),將節(jié)能定量指標(biāo)分解到各分公司。 指數(shù)分解分析理論是重要的系統(tǒng)分析工具,在過(guò)去二十余年中廣泛應(yīng)用于區(qū)域、國(guó)家及產(chǎn)業(yè)的能源和環(huán)境研究,主要從產(chǎn)業(yè)結(jié)構(gòu)、部門能源強(qiáng)度、能源價(jià)格、能源消耗結(jié)構(gòu)等角度分析過(guò)去一段時(shí)間內(nèi)宏觀層面的能源效率變化。但目前國(guó)內(nèi)外在電信運(yùn)營(yíng)企業(yè)層面的研究涉及較少。本文將模型構(gòu)建和實(shí)證研究相結(jié)合,主要研究以下內(nèi)容： 1、在查閱相關(guān)文獻(xiàn)的基礎(chǔ)上,從管理和技術(shù)節(jié)能兩個(gè)角度,歸納了電信運(yùn)營(yíng)企業(yè)節(jié)能減排的研究現(xiàn)狀。 2、對(duì)指數(shù)分解分析理論體系進(jìn)行歸納總結(jié),將該理論的發(fā)展分為引入階段和完善階段,對(duì)比體系中各模型的合理性、可逆性、殘差、零值和負(fù)值魯棒性等特性,選擇采用拉斯貝爾指數(shù)模型和對(duì)數(shù)平均迪氏指數(shù)模型考察部門產(chǎn)品份額、能源效率、不同能耗場(chǎng)景能耗等因素對(duì)總體的影響。 3、將兩種指數(shù)模型結(jié)合,構(gòu)建能源效率的預(yù)測(cè)模型,同時(shí)利用季節(jié)指數(shù)模型、回歸分析等方法預(yù)測(cè)產(chǎn)出量,在此基礎(chǔ)上將節(jié)能定量指標(biāo)分解到各個(gè)部門。 4、結(jié)合實(shí)證分析結(jié)果,分析了各影響因素對(duì)電信運(yùn)營(yíng)企業(yè)總體指標(biāo)的作用,并對(duì)進(jìn)一步發(fā)展提出了建議。
[Abstract]:With the development of economy and the increase of international energy price, energy problem has become the main issue in the world. China is the world's largest developing country and the second largest energy consumer after the United States. Therefore, the state regards energy saving and emission reduction as an important hand in transforming development mode and promoting scientific development, and puts forward the target of reducing energy consumption per unit GDP of the 11th Five-Year Plan by about 20%. At the same time, SASAC adjusted the category of three telecom operators from "general category" to "concern class", and quantitatively assessed the energy consumption index of enterprises. For telecom operators, what are the factors affecting energy efficiency? How to measure the contribution of each factor? How to decompose the energy saving quantitative index of the whole group into each branch according to these influencing factors? In this paper, based on the theory of exponential decomposition analysis, three levels of energy saving and emission reduction targets are decomposed, and the related factors that affect the energy consumption of telecom operators are quantitatively studied, and based on these influencing factors. The energy saving quantitative index will be decomposed to each branch company. The theory of exponential decomposition analysis is an important tool for systematic analysis. It has been widely used in regional, national and industrial energy and environmental studies in the past two decades, mainly in terms of industrial structure, sector energy intensity, and energy prices. The change of energy efficiency at the macro level in the past period of time is analyzed from the perspective of energy consumption structure. But at present the domestic and foreign research in the telecommunication operation enterprise level involves less. This paper combines the model construction and empirical research, mainly studies the following contents: 1, based on the related literature, from the two angles of management and technology energy saving, The research status of energy saving and emission reduction in telecom operation enterprises is summarized. 2, the theoretical system of exponential decomposition analysis is summarized, and the development of the theory is divided into the stage of introduction and the stage of perfection, and the rationality of each model in the system is compared. Reversibility, residuals, zero and negative robustness, etc., are selected to study sector product share, energy efficiency, and logarithmic average Dee exponent model. The influence of energy consumption on the whole in different energy consumption scenarios. 3. Combining the two exponential models, the prediction model of energy efficiency is constructed, and the output is predicted by using seasonal exponential model and regression analysis, etc. On this basis, the quantitative index of energy saving is decomposed into various departments. 4 combined with the results of empirical analysis, this paper analyzes the effect of various factors on the overall index of telecom operation enterprises, and puts forward some suggestions for further development.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F626.1;F224

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本文編號(hào)：2076214