【摘要】：面對能源短缺和環(huán)境惡化,我國《“十二五”節(jié)能減排綜合性工作方案》規(guī)定,到2015年實現(xiàn)節(jié)約6.7億噸標準煤的明確目標。提高能源效率是實現(xiàn)該目標的有效途徑之一。論文立足于我國國情,結合理論和現(xiàn)實背景,遵循定義→指標選取→評估方法→結論的研究思路,構建指標體系,建立基于三階段DEA的我國能源效率評估模型,探索提高我國能源效率的政策選擇,為節(jié)能減排提供參考建議。論文的主要創(chuàng)新性研究工作如下： (1)在全要素能源效率框架下構建了以能源消費總量、從業(yè)人員總數(shù)和資本存量為投入指標,以GDP和非期望產(chǎn)出環(huán)境影響作為產(chǎn)出指標的能源效率評價指標體系�？紤]到非期望產(chǎn)出環(huán)境影響,引入我國能源消費碳排放作為環(huán)境測量指標、污染物作投入法作為投入變量構建DEA模型,全而考慮了能源消費對環(huán)境造成的負面影響。 (2)考慮到信息不完全、測量標準不統(tǒng)一和技術條件局限性等造成難以獲取的精確數(shù)據(jù)的原因,將就業(yè)人數(shù)和碳排放量作為區(qū)間指標來處理,就業(yè)人數(shù)按上年年末和當年年末人數(shù)作為區(qū)間兩端點,碳排放量按不同碳排放系數(shù)標準下的最大和最小值做為區(qū)間端點。此外,在第二階段從固定資產(chǎn)投資、第二產(chǎn)業(yè)比重和科技撥款三方面分離環(huán)境因素和隨機誤差的影響,重新調(diào)整投入變量帶入DEA模型,因此,三階段DEA模型計算結果更加可靠。 (3)通過第二階段的SFA回歸分析研究環(huán)境變量與松弛變量之間的關系,結果發(fā)現(xiàn)：固定資產(chǎn)、第二產(chǎn)業(yè)占GDP的比重與能源效率負相關,科技撥款與能源效率正相關；此外,通過第二階段調(diào)整后的投入變量重新第三階段DEA模型結果表明：1978-1993年中國能源效率趨勢是遞增的,其中1978-1990年能源效率值偏低,1994-2010年能源效率水平趨勢較為平穩(wěn),而且效率值較高,2010年能源效率值達到最高。
[Abstract]:In the face of energy shortage and environmental deterioration, the comprehensive plan of energy saving and emission reduction in the 12th Five-Year Plan of China stipulates that the clear goal of saving 670 million tons of standard coal by 2015 will be achieved. Improving energy efficiency is one of the effective ways to achieve this goal. Based on the situation of our country, combined with the theoretical and practical background, the paper follows the research idea of defining the index and choosing the evaluation method and conclusion, constructs the index system, and establishes the energy efficiency evaluation model based on three-stage DEA in China. To explore the policy options for improving energy efficiency in China, and to provide reference suggestions for energy saving and emission reduction. The main innovative research work of this paper is as follows: (1) under the framework of all-factor energy efficiency, the total energy consumption, the total number of employees and the capital stock are taken as the input indicators. Energy efficiency evaluation index system based on GDP and non-expected output environmental impact as output indicators. Considering the environmental impact of non-expected output, the DEA model is constructed by introducing energy consumption carbon emissions as environmental measurement indicators and pollutant input method as input variables. Taking into account the negative impact of energy consumption on the environment. (II) taking into account the reasons for the difficulty of obtaining accurate data, such as incomplete information, inconsistent measurement standards and limited technical conditions, The employment and carbon emissions are treated as interval indicators. The number of employed people is regarded as the two ends of the range at the end of last year and the end of the year. The maximum and minimum values of carbon emissions under different standards of carbon emission coefficient are taken as the end points of the interval. In addition, in the second stage, the impact of environmental factors and random errors is separated from three aspects of fixed asset investment, secondary industry proportion and science and technology appropriation, and the input variables are re-adjusted into the DEA model. The results of three-stage DEA model are more reliable. (3) the relationship between environmental variables and relaxation variables is studied by SFA regression analysis in the second stage. The results show that the proportion of fixed assets and secondary industry to GDP is negatively related to energy efficiency. Science and technology grants are positively correlated with energy efficiency. In addition, by re-establishing the third-stage DEA model through the second stage adjusted input variable, the results show that the trend of energy efficiency in China increased from 1978 to 1993. The energy efficiency value of 1978-1990 is low, and the trend of energy efficiency level in 1994-2010 is relatively stable, and the energy efficiency value is higher, and the energy efficiency value reaches the highest in 2010.
【學位授予單位】：五邑大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：F124.5;F224

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