【摘要】：隨著改革開(kāi)放后一系列改革措施的實(shí)施,我國(guó)電力行業(yè)多年來(lái)保持了高速發(fā)展勢(shì)頭,為國(guó)民經(jīng)濟(jì)持續(xù)快速增長(zhǎng)做出了重要貢獻(xiàn),不過(guò)在電價(jià)制定、節(jié)能降耗、電網(wǎng)配置及市場(chǎng)化改革方面仍然存在一定的問(wèn)題。本文擬從全要素生產(chǎn)率的角度評(píng)價(jià)我國(guó)電力行業(yè)的發(fā)展質(zhì)量,并通過(guò)影響因素分析方法論證上述問(wèn)題的存在性與嚴(yán)重性,基于實(shí)證研究結(jié)論提出提高我國(guó)電力行業(yè)全要素生產(chǎn)率的有效對(duì)策,這對(duì)于提高電力行業(yè)改革的質(zhì)量和效率,建立持續(xù)、穩(wěn)定、健康發(fā)展的電力產(chǎn)業(yè)體系至關(guān)重要。本文做了以下具體工作:1、介紹了電力行業(yè)全要素生產(chǎn)率的研究背景和意義,系統(tǒng)論述了國(guó)內(nèi)外相關(guān)文獻(xiàn)的研究成果,對(duì)本文的內(nèi)容安排與研究方法進(jìn)行了介紹;最后指出了文章的創(chuàng)新點(diǎn)。2、概述了與本文研究主題相關(guān)的理論和技術(shù)方法,具體介紹了全要素生產(chǎn)率和綠色全要素生產(chǎn)率理論,數(shù)據(jù)包絡(luò)分析法和Malquist指數(shù)分析法。3、以中國(guó)30個(gè)省市為研究樣本,利用基于SBM模型的GML指數(shù),測(cè)算了2007-2013年中國(guó)電力行業(yè)環(huán)境約束下的全要素生產(chǎn)率指數(shù)及其分解指數(shù),并從全國(guó)層面和區(qū)域角度做了結(jié)果分析。4、以第三部分測(cè)算的GML指數(shù)及其分解指數(shù)為被解釋變量,并選取了合理的解釋變量,建立了面板數(shù)據(jù)回歸模型,對(duì)影響電力行業(yè)全要素生產(chǎn)率的影響因素進(jìn)行了實(shí)證分析。5、基于實(shí)證研究結(jié)果,提出了提升我國(guó)電力行業(yè)全要素生產(chǎn)率的政策建議。
[Abstract]:With the implementation of a series of reform measures after the reform and opening up, the electric power industry of our country has maintained the high speed development momentum for many years, has made the important contribution to the national economy sustained fast growth, but in the electricity price formulation, the energy conservation reduces the consumption, There are still some problems in power grid allocation and market-oriented reform. This paper intends to evaluate the development quality of China's electric power industry from the perspective of total factor productivity, and prove the existence and seriousness of the above problems by means of factor analysis. Based on the conclusion of empirical research, the effective countermeasures to improve the total factor productivity of electric power industry in China are put forward, which is very important for improving the quality and efficiency of the reform of the electric power industry and establishing a sustainable, stable and healthy electric power industry system. This article has done the following concrete work: 1, introduced the electric power industry total factor productivity research background and the significance, systematically discussed the domestic and foreign related literature research results, has carried on the introduction to the content arrangement and the research method; Finally, it points out the innovation points of the article. 2, summarizes the theory and technical methods related to the subject of this paper, and introduces the theory of total factor productivity (TFP) and green total factor productivity (TFP) in detail. Data Envelopment Analysis and Malquist Index Analysis. 3. Taking 30 provinces and cities in China as the research sample, using GML index based on SBM model, the total factor productivity index (TFP) and its decomposition index under environmental constraints of China's electric power industry from 2007 to 2013 are calculated. The results are analyzed from the national and regional perspectives. 4. Taking the GML index and its decomposition index measured in the third part as explained variables, and selecting reasonable explanatory variables, a panel data regression model is established. This paper makes an empirical analysis of the factors affecting the total factor productivity of the power industry. 5. Based on the results of the empirical research, the paper puts forward some policy suggestions for improving the total factor productivity of the power industry in China.
【學(xué)位授予單位】：江蘇科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：F224;F426.61

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