發(fā)布時(shí)間：2018-03-08 09:17

  本文選題：全要素能源效率　切入點(diǎn)：環(huán)境污染　出處：《蘭州商學(xué)院》2013年碩士論文　論文類型：學(xué)位論文

【摘要】：黨的十八大報(bào)告提出了“推進(jìn)綠色發(fā)展、循環(huán)發(fā)展、低碳發(fā)展”“建設(shè)美麗中國(guó)”的科學(xué)發(fā)展理念，而美麗中國(guó)的建設(shè)離不開(kāi)龐大的能源消費(fèi)的支撐。能源對(duì)各國(guó)的經(jīng)濟(jì)發(fā)展都有著深遠(yuǎn)的影響，在中國(guó)，粗放式的能源消費(fèi)習(xí)慣對(duì)經(jīng)濟(jì)發(fā)展和環(huán)境保護(hù)的壓力越來(lái)越大，為了改善這一現(xiàn)狀，需要對(duì)能源效率的提高進(jìn)行深入的研究。 本文采用超效率DEA模型對(duì)我國(guó)各省區(qū)市1995-2010年的全要素能源效率進(jìn)行了測(cè)度，在此基礎(chǔ)上對(duì)各地區(qū)的能源效率特征進(jìn)行分析，，并對(duì)各地區(qū)的全要素能源效率的收斂性進(jìn)行了研究。然后采用面板數(shù)據(jù)模型對(duì)影響全要素能源效率的因素進(jìn)行了實(shí)證分析。最后根據(jù)分析結(jié)果提出一些提高能源效率的建議。 在測(cè)度全要素能源效率時(shí)，不僅考慮資本、勞動(dòng)和能源消費(fèi)，還將環(huán)境污染因素作為非合意性產(chǎn)出指標(biāo)納入DEA模型當(dāng)中，由此測(cè)算出來(lái)的全要素能源效率更加符合實(shí)際情況，結(jié)果表明東、中、西三大地區(qū)能源效率呈現(xiàn)出東部高、中西部低的現(xiàn)象。 各地區(qū)全要素能源效率的收斂性檢驗(yàn)結(jié)果表明，東部地區(qū)內(nèi)部差距存在不明顯的縮小趨勢(shì)，雖然內(nèi)部各省沒(méi)有達(dá)到相同的能效水平，但是都在朝各自的能效水平靠近。中部地區(qū)內(nèi)部差距呈現(xiàn)擴(kuò)大的趨勢(shì)，各省之間同樣趨向于各自的穩(wěn)態(tài)水平，西部地區(qū)內(nèi)部各省差距收斂趨勢(shì)不明顯，但各省向共同的能效水平收斂。 面板數(shù)據(jù)分析結(jié)果顯示，能源價(jià)格、產(chǎn)業(yè)結(jié)構(gòu)與全要素能源效率呈顯著的正相關(guān)。東部地區(qū)的技術(shù)進(jìn)步變量與全要素能源效率的回歸系數(shù)顯著，但是影響不大。對(duì)于中部和西部地區(qū)來(lái)講，技術(shù)進(jìn)步對(duì)全要素能源效率的提高沒(méi)有顯著的影響。對(duì)外開(kāi)放程度對(duì)東部地區(qū)的影響為負(fù)，對(duì)中部和西部地區(qū)的影響為正，但西部地區(qū)卻不顯著。 最后根據(jù)數(shù)據(jù)分析的結(jié)果提出相應(yīng)的政策建議。首先，將能源效率低但改進(jìn)余地大的中、西部地區(qū)作為提升能效的重點(diǎn)地區(qū)。其次，在適當(dāng)?shù)姆秶鷥?nèi)提高能源價(jià)格有利于對(duì)能源效率的改進(jìn)。然后要加快地區(qū)產(chǎn)業(yè)結(jié)構(gòu)的調(diào)整與優(yōu)化升級(jí)，最后各地區(qū)要積極的學(xué)習(xí)與借鑒其他地區(qū)的先進(jìn)技術(shù)與管理方法，同時(shí)還要重視環(huán)境問(wèn)題。
[Abstract]:The report of the 18 National Congress of the Party put forward the scientific development concept of "promoting green development, circular development, low-carbon development" and "building a beautiful China." But the construction of a beautiful China cannot be separated from the support of huge energy consumption. Energy has a profound impact on the economic development of all countries. In China, extensive energy consumption habits are exerting more and more pressure on economic development and environmental protection. In order to improve this situation, it is necessary to study the improvement of energy efficiency. In this paper, DEA model is used to measure the total factor energy efficiency of all provinces and cities in China from 1995 to 2010. On the basis of this, the characteristics of energy efficiency in various regions are analyzed. The convergence of total factor energy efficiency in different regions is studied, and then the factors affecting energy efficiency are analyzed by panel data model. Finally, some suggestions for improving energy efficiency are put forward according to the analysis results. In the measurement of total factor energy efficiency, not only capital, labor and energy consumption are considered, but also environmental pollution is included in the DEA model as a non-desirable output index. The calculated total factor energy efficiency is more in line with the actual situation. The results show that the energy efficiency in the east, middle and west regions is high in the east and low in the central and western regions. The convergence test of the total factor energy efficiency in each region shows that there is an insignificant narrowing trend in the internal gap in the eastern region, although the internal provinces have not reached the same level of energy efficiency. But they are all moving towards their respective energy efficiency levels. The internal gap in the central region is showing a trend of expansion. Each province is also tending to its own steady-state level. The trend of convergence of the gap between the provinces within the western region is not obvious. But provinces converge towards common energy efficiency levels. Panel data analysis results show that the energy price, industrial structure and total factor energy efficiency are significantly positively correlated, and the regression coefficient between the technological progress variables and the total factor energy efficiency is significant in the eastern region. For the central and western regions, technological progress has no significant impact on the improvement of all-factor energy efficiency. The impact of the degree of opening to the outside world on the eastern region is negative, and the impact on the central and western regions is positive. But the west is not significant. Finally, according to the results of data analysis, the corresponding policy recommendations are put forward. Firstly, the western region, which is low energy efficiency but has great room for improvement, is regarded as the key area for improving energy efficiency. Secondly, Raising energy prices within an appropriate range is conducive to the improvement of energy efficiency. Then, it is necessary to speed up the adjustment and optimization of the regional industrial structure, and finally each region should actively learn and learn from the advanced technology and management methods of other regions. At the same time, attention should be paid to environmental issues.
【學(xué)位授予單位】：蘭州商學(xué)院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F224;F124.5;F206

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