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

【摘要】：黨的十八大報告提出了“推進綠色發(fā)展、循環(huán)發(fā)展、低碳發(fā)展”“建設美麗中國”的科學發(fā)展理念，而美麗中國的建設離不開龐大的能源消費的支撐。能源對各國的經濟發(fā)展都有著深遠的影響，在中國，粗放式的能源消費習慣對經濟發(fā)展和環(huán)境保護的壓力越來越大，為了改善這一現狀，需要對能源效率的提高進行深入的研究。 本文采用超效率DEA模型對我國各省區(qū)市1995-2010年的全要素能源效率進行了測度，在此基礎上對各地區(qū)的能源效率特征進行分析，，并對各地區(qū)的全要素能源效率的收斂性進行了研究。然后采用面板數據模型對影響全要素能源效率的因素進行了實證分析。最后根據分析結果提出一些提高能源效率的建議。 在測度全要素能源效率時，不僅考慮資本、勞動和能源消費，還將環(huán)境污染因素作為非合意性產出指標納入DEA模型當中，由此測算出來的全要素能源效率更加符合實際情況，結果表明東、中、西三大地區(qū)能源效率呈現出東部高、中西部低的現象。 各地區(qū)全要素能源效率的收斂性檢驗結果表明，東部地區(qū)內部差距存在不明顯的縮小趨勢，雖然內部各省沒有達到相同的能效水平，但是都在朝各自的能效水平靠近。中部地區(qū)內部差距呈現擴大的趨勢，各省之間同樣趨向于各自的穩(wěn)態(tài)水平，西部地區(qū)內部各省差距收斂趨勢不明顯，但各省向共同的能效水平收斂。 面板數據分析結果顯示，能源價格、產業(yè)結構與全要素能源效率呈顯著的正相關。東部地區(qū)的技術進步變量與全要素能源效率的回歸系數顯著，但是影響不大。對于中部和西部地區(qū)來講，技術進步對全要素能源效率的提高沒有顯著的影響。對外開放程度對東部地區(qū)的影響為負，對中部和西部地區(qū)的影響為正，但西部地區(qū)卻不顯著。 最后根據數據分析的結果提出相應的政策建議。首先，將能源效率低但改進余地大的中、西部地區(qū)作為提升能效的重點地區(qū)。其次，在適當的范圍內提高能源價格有利于對能源效率的改進。然后要加快地區(qū)產業(yè)結構的調整與優(yōu)化升級，最后各地區(qū)要積極的學習與借鑒其他地區(qū)的先進技術與管理方法，同時還要重視環(huán)境問題。
[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.
【學位授予單位】：蘭州商學院
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：F224;F124.5;F206

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本文編號：1583293